Next generation energy modelling Benefits of applying parallel optimization and high performance computing
|
|
- Job Marsh
- 6 years ago
- Views:
Transcription
1 Next generation energy modelling Benefits of applying parallel optimization and high performance computing Frieder Borggrefe System Analysis and Technology Assessment DLR - German Aerospace Center Stuttgart a project by Modelling Smart Grids , Prague
2 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague Agenda 1. Introduction energy system Modelling and constraints 2. The project BEAM-ME 3. Decomposition 4. Model annotation and PIPS-IPM
3 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague It is not all about rocket science in DLR
4 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague DLR Energy System Model REMix Installed capacities and power generation profiles from renewables GHI HVDC lines long-range power exchange and imports Transmission grid based on current European AC grid Scenario analysis with model REMix cost minimised supply in temporal & spatial resolution model Electricity demand Heat demand Flexible operation of CHP with: - heat storages - peak boiler & electric heaters DNI wind speed results: generation & storage strategies Mo Di Mi Do Fr Sa So Electric vehicles (EV) BEV/hybrids: charging strategies, hourly battery capacities of the fleet connected to the grid run-off river. Conventional generation nuclear, coal, gas power plants Storages pumped hydro compressed air hydrogen Demand side management industry & households, increases system efficiency -x FCEV: flexible on-site H 2 generation
5 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague DLR Energy System Model REMix Installed capacities and power generation profiles from renewables GHI DNI wind speed run-off river. HVDC lines long-range power exchange and imports Energy system models: Simulate Conventional generation nuclear, coal, gas power plants Mo Di Mi Do Fr Sa So Storages pumped hydro compressed air hydrogen Transmission grid based on current European AC grid Scenario analysis with model REMix Demand side management industry & households, increases system efficiency Electricity demand cost minimised supply in temporal & spatial resolution Heat demand Flexible operation of policy and technology choices CHP with: - heat storages influence model on future energy demand and supply, and investments - peak boiler & electric heaters -> are mostly used in an exploratory manner Depend on external assumptions/boundary conditions: Development of economic activities, demographic development, or energy prices on world markets. results: generation & storage strategies Electric vehicles (EV) BEV/hybrids: charging strategies, hourly battery capacities of the fleet connected to the grid -x FCEV: flexible on-site H 2 generation
6 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague The Energy System Model REMix Installed capacities and power generation profiles from renewables GHI HVDC lines long-range power exchange and imports Transmission grid based on current European AC grid Scenario analysis with model REMix cost minimised supply in temporal & spatial resolution model Electricity demand Heat demand Flexible operation of CHP with: - heat storages - peak boiler & electric heaters DNI wind speed results: generation & storage strategies Mo Di Mi Do Fr Sa So Electric vehicles (EV) BEV/hybrids: charging strategies, hourly battery capacities of the fleet connected to the grid run-off river. Conventional generation nuclear, coal, gas power plants Storages pumped hydro compressed air hydrogen Demand side management industry & households, increases system efficiency -x FCEV: flexible on-site H 2 generation
7 Requirements for Energy System Models Increase Petten 2014 Modelling comes at a cost: Small number of time steps Or small number of regions Or small number of technologies JRC Times model: Modelling Smart Grids 2017, Prague
8 Energy Sector Integration 8 Ongoing transformation drastically increases complexity of the energy system
9 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague The Energy System Model REMix
10 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague The Energy System Model REMix
11 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague Agenda 1. Introduction energy system Modelling and constraints 2. The project BEAM-ME 3. Decomposition 4. Model annotation and PIPS-IPM
12 Idea and scope of BEAM-ME Reduction of solution times urgently needed to enable the reflection of energy system complexity in state-of-the-art models Evaluation of different approaches to reduce model solution times Increased Modelling efficiency Higher computing power Implementation of selected approaches into REMix Assessment of the transferability to other models Definition of best-practice strategies Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague
13 Frieder Borggrefe (DLR) BEAM-ME: Optimizing performance of ESM Input data Model description Modelling Language & Compiler Algorithm High Performance Computing
14 Frieder Borggrefe (DLR) BEAM-ME: Optimizing performance of ESM Input data Model description Modelling Language & Compiler Algorithm High Performance Computing Energy System Modeling Modelling Language Solver Development High Performance Computing
15 Frieder Borggrefe (DLR) Nodes! Nodes? Nodes!? - Challenge: Common language Nodes Storage Efficient Robust results Nodes Robust results Efficient Nodes Storage Efficient Energy System Modeling Modelling Language Solver Development High Performance Computing
16 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague Agenda 1. Introduction energy system Modelling and constraints 2. The project BEAM-ME 3. Decomposition 4. Model annotation and PIPS-IPM
17 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague Categorization of speed-up approaches Solver parameters Exact methods Solver related Solver Algorithm Meta-Heuristics Software related speed-up approaches Model specific Problem formulation Heuristics Model reduction and clustering Solving multiple, small problems Exact methods
18 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague Benders decomposition in capacity expansion and economic dispatch Benders decomposition for two-stage stochastic optimization Mathematical formulation in LP table Investment -> Master problem: Decide now which capacities should be expanded Dispatch -> Sub problem: Decide later on economic dispatch to satisfy electrical demand with capacities given by master problem 1st Stage: Capacity expansion Installed capacities 2nd Stage: Dispatch Generation variables Linking variables: Installed capacities, connecting the capacity expansion problem and the dispatch problem
19 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague Deterministic vs. Benders Decomposition Deterministic Model Benders Decomposition Master Subproblem 1st Stage: Capacity expansion Installed capacities 2nd Stage: Dispatch Generation variables Size of LP increases with number of scenarios, solved by SIMPLEX / Barrier Out of memory for typical REMix problems with scenario dimension Subproblems can be solved in parallel Memory demand scales with number of parallel solve processes
20 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague 20 Challenges 3: Efficient use of ressources Synchronous Model Asynchronous Model Iteration 1 Iteration 2 t Iteration 1 Iteration 2 Iteration 3 Iteration 4 t Input data Model description Modelling, Language & Compiler Mathematical Optimization High Performance Computing
21 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague 21 Agenda 1. Introduction energy system Modelling and constraints 2. The project BEAM-ME 3. Decomposition 4. Model annotation and PIPS-IPM
22 Categorization of speed-up approaches Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague Solver parameters Exact methods Solver related Solver Algorithm Meta-Heuristics Software related speed-up approaches Model specific Problem formulation Heuristics Model reduction and clustering Solving multiple, small problems Exact methods
23 Challenges: Scalable Implementation Input data Model description Modelling Language & Compiler Mathematical Optimization High Performance Computing IBM Blue JSC: 28,672 nodes / 458,752 cores Efficient HPC implementation Benchmarking and profiling Distributed storage for large ESMs Apply new concepts for assigning tasks to cores CRAY HLRS: 3,944 nodes / 94,656 cores Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague
24 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague Application of stochastic PIPS solver Decomposition Approach PIPS-Solver (Argonne National Lab) Capacity Constraints Dispatch Investment Capacity Expansion Planning Operation & Maintainance Capacity Limits Capacity Expansion Planning Capacity Constraints Capacity Constraints Dispatch Dispatch Capacity Constraints Capacity Constraints Capacity Constraints Dispatch Dispatch Dispatch Electrical Demand
25 Within BEAM-ME adaptation of PIPS-Solver to PIPS IPM New PIPS-IPM-Solver under development PIPS-Solver Master Capacity Expansion Planning Sub problems Limits: Master Linking Variables Sub-Problem Linking Variables Linking Variables Sub-Problem Sub-Problem Limits Subs Linking Variables Linking Equations New developed PIPS-IPM can be used for non stochastic models PIPS-IPM will also bring benefits to stochastic Modelling Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague
26 Original problem with random matrix structure min/max A c Model annotation = b How to get there? PIPS exploits matrix block structure min c 0 c s1 c sn A = b low A = b b upp T = s1 W = s1 = b s1 b low T s1 W s1 b upp s1 s1 * min/max Frieder Borggrefe (DLR) x * c Permutation reveals block structure A = b' * x' * Modelling Smart Grids 2017, Prague T = sn W = sn = b sn 26 b low T sn W sn b upp sn sn C = C = C = s1... sn = b C b low C C C C... s1 sn x 0 low x sn low x 0 x sn b C upp x 0 upp x sn upp
27 Original problem with random matrix structure min/max c * A = b x * Model annotation How to get there? PIPS exploits matrix block structure min c 0 c s1 c sn A = b low A = b b upp T = s1 W = s1 = b s1 b low T s1 W s1 b upp s1 s1 Permutation reveals block structure min/max A Frieder Borggrefe (DLR) c = b' * x' * Modelling Smart Grids 2017, Prague T = sn W = sn = b sn 27 b low T sn W sn b upp sn sn C = C = C = s1... sn = b C b low C C C C... s1 sn x 0 low x sn low x 0 x sn b C upp x 0 upp x sn upp
28 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague GAMS Annotation for PIPS-IPM Matrix of non-zero entries of REMix LP Permuted matrix revealing block structure PIPS-IPM blocks Linking variables Linking equations Annotation can be implemented directly in GAMS Modellers provide knowledge about problem and decompositions
29 Introducing PIPS-IPM Parallel Interior Point Solver Interior Point Method (PIPS-IPM) Petra et al. 2014: Real-Time Stochastic Optimization of Complex Energy Systems on High-Performance Computers Wind feed-in planning in electrical power systems under uncertainty OR 2017: D. Rehfeldt Optimizing large-scale linear energy problems with block diagonal structure by using parallel interior-point methods M. Wetzel et al. (DLR) Modelling Smart Grids 2017, Prague
30 Decomposition by region I Linking by region: electricity transports, fuel transports, global constraints (CO 2 ) power flow limitation 4 partial problems including 4 regions t Temporal dimension of transport decisions leads to the largest number of linking variables hourly power flows between regionblocks 30 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague
31 Decomposition by region II 4 partial problems including 4 regions 16 partial problems including 1 region low increase in linking variables and constraints due to sparsely connected regions Target: Find maximum number of regionblocks of similar size which are sparely linked to other regionblocks Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague
32 M. Wetzel et al. (DLR) Getting Energy System Models ready for HPC 07 Sept Decomposition by time 7 partial problems including 24 time steps 56 partial problems including 3 time steps 168 partial problems including 1 time step 1 out of 24 storage constraints linking 3 out of 8 storage constraints linking Every storage constraint linking Target: Find good trade-off between number of time blocks and number of linking constraints
33 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague Evaluation of Annotations Decomposition by time and region can be applied at the same time power flow limitation from spatial decomposition Linking to previous time step from temporal decomposition All previously shown annotation plots describe exactly the same ESM problem Systematic evaluation of promising annotations required
34 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague Current state and challenges Current state of extended PIPS-IPM for BEAM-ME test problems: sequentially 10 times slower than CPLEX (latest version) barrier. can solve problems with few (< 1000) linking constraints and variables faster than CPLEX (multi-threaded) when enough CPU-cores can be used (on several compute nodes). biggest problem solved so far has > 10 million variables and constraints Current challenges: LPs with many (>10000) linking constraints and variables hard to solve due to factorization of large dense matrix in solving process
35 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague Challenges How to cut the model to allow for efficient application of solvers? How can PIPS-IPM use salient features of the problem? Identify options for model tuning that work? algorithmic and implementation improvements, e.g. (parallel, structurepreserving) preprocessing, scaling, adaptation of interior-point algorithm handle dense (symmetric indefinite) matrix more efficiently: try GPUs (e.g., MAGMA, cusolver) for problems with not too many (< 10000) linking constraints and variables try distributed linear algebra (e.g., Elemental, DPLASMA) for bigger problems
36 Frieder Borggrefe (DLR) Modelling Smart Grids 2017, Prague Challenges How to cut the model to allow for efficient application of solvers? How can PIPS-IPM use salient features of the problem? Identify options for model tuning that work? algorithmic and implementation improvements, e.g. (parallel, structurepreserving) preprocessing, scaling, adaptation of interior-point algorithm handle dense (symmetric indefinite) matrix more efficiently: try GPUs (e.g., MAGMA, cusolver) for problems with not too many (< 10000) linking constraints and variables try distributed linear algebra (e.g., Elemental, DPLASMA) for bigger problems Benchmark: PIPS-IPM and PIPS must beat SIMPLEX in the first place
37 Outlook: What can we do with more efficient models? Model new markets and market design Increase sparcial and temporal resolution Answer new questions Improved market analysis Regional potential of specific technologies Address uncertainty with stochastic models Exploring solution space Identifying tipping points between subsities Modelling sectors and sector integration
Applying Robust Optimization to MISO Look- Ahead Commitment
Applying Robust Optimization to MISO Look- Ahead Commitment Yonghong Chen, Qianfan Wang, Xing Wang, and Yongpei Guan Abstract Managing uncertainty has been a challenging task for market operations. This
More informationSOVN - NEW MARKET MODEL EXPERIENCE AND RESULTS
SOVN - NEW MARKET MODEL EXPERIENCE AND RESULTS Arild Lote Henden, Brukermøte 2017 Agenda Introduction Base method Results Challenges Conclusion 2 Introduction SOVN Stochastic Optimization with individual
More informationMULTIPERIOD/MULTISCALE MILP MODEL FOR OPTIMAL PLANNING OF ELECTRIC POWER INFRASTRUCTURES
MULTIPERIOD/MULTISCALE MILP MODEL FOR OPTIMAL PLANNING OF ELECTRIC POWER INFRASTRUCTURES Cristiana L. Lara* and Ignacio E. Grossmann* *Department of Chemical Engineering, Carnegie Mellon University Center
More informationAn Introduction. Frederik Fiand & Tim Johannessen GAMS Software GmbH. GAMS Development Corp. GAMS Software GmbH
An Introduction Frederik Fiand & Tim Johannessen GAMS Software GmbH GAMS Development Corp. GAMS Software GmbH www.gams.com Agenda GAMS at a Glance GAMS - Hands On Examples APIs - Application Programming
More informationOptimal Scheduling Strategy in Insular Grids Considering Significant Share of Renewables
Optimal Scheduling Strategy in Insular Grids Considering Significant Share of Renewables Marcos D. B. Silva 1, Gerardo J. Osório 2, Miadreza Shafie-khah 2, Juan M. Lujano-Rojas 3, João P. S. Catalão 1,2,3
More informationOptimization under Uncertainty. with Applications
with Applications Professor Alexei A. Gaivoronski Department of Industrial Economics and Technology Management Norwegian University of Science and Technology Alexei.Gaivoronski@iot.ntnu.no 1 Lecture 2
More informationManaging Temporary Oversupply from Renewables Efficiently: Electricity Storage Versus Energy Sector Coupling in Germany
Technische Universität München Managing Temporary Oversupply from Renewables Efficiently: Electricity Storage Versus Energy Sector Coupling in Germany Katrin Schaber* (Technische Universität München) Florian
More informationReal-time and Intraday Optimization of Multiple Power Generation Units
, ID T6S4P3 Real-time and Intraday Optimization of Multiple Power Generation Units Dr. Rüdiger Franke Hansjürgen Schönung Marcel Blaumann Dr. Alexander Frick Stephan Kautsch ABB AG, Germany 1 INTRODUCTION...
More informationEnergy Storage in a Grid with Fluctuating Sources : the German Perspective
Energy Storage in a Grid with Fluctuating Sources : the German Perspective Kai Hufendiek Institute of Energy Economics and Rationale Use of Energy (IER) University of Stuttgart THE ROLE OF STORAGE IN ENERGY
More informationCan we achieve 100% renewables? Flexibility options in the electricity system
Can we achieve 1% renewables? Flexibility options in the electricity system Webinar Leonardo Energy 22/5/214 Dr. G. Papaefthymiou, K. Grave Overview 1. Definition of power system flexibility 2. Need for
More informationISE480 Sequencing and Scheduling
ISE480 Sequencing and Scheduling INTRODUCTION ISE480 Sequencing and Scheduling 2012 2013 Spring term What is Scheduling About? Planning (deciding what to do) and scheduling (setting an order and time for
More informationCosts and Benefits of the Smart Grid. Hans de Heer 10 October 2012
Hans de Heer The DNV Group DNV Group DNV KEMA Energy & Sustainability DNV Maritime Oil & Gas DNV Business Assurance 300 offices 100 countries 10,400 employees 2 DNV KEMA Energy & Sustainability DNV KEMA
More informationPh.D. Defense: Resource Allocation Optimization in the Smart Grid and High-performance Computing Tim Hansen
Ph.D. Defense: Resource Allocation Optimization in the Smart Grid and High-performance Computing Tim Hansen Department of Electrical and Computer Engineering Colorado State University Fort Collins, Colorado,
More informationThe value of local electricity storage in a smart grid: How important is intermittency?
The value of local electricity storage in a smart grid: How important is intermittency? Pedro Crespo Del Granado (Jointly with Prof. Stein W. Wallace and Dr. Zhan Pang) International Conference on Stochastic
More informationIntegrated Planning Model (IPM ) Overview
Integrated Planning Model (IPM ) Overview September 2010 Disclaimer This presentation, prepared by ICF under contract with RGGI, Inc., is designed to support ongoing evaluation of state RGGI programs.
More informationMinistry of Power & Energy, Sri Lanka
1 Ministry of Power & Energy, Sri Lanka 1. Country at a Glance Socio-Economic Population : 20.5 Million Per Capita GDP : 3,600 US$ Energy Sector Primary Energy Supply by Sources: - Biomass : 43.3% - Petroleum
More informationInnovative grid-impacting technologies for pan-european system analyses: key GridTech results on Demand Response application
Innovative grid-impacting technologies for pan-european system analyses: key GridTech results on Demand Response application Angelo L'Abbate RSE SpA EC JRC Smart Mediterraneo workshop Bari, 24 June 2016
More informationNew Grid Controls to Enable Renewable Generation
New Grid Controls to Enable Renewable Generation Kevin Tomsovic - CTI Professor and Head, EECS, University of Tennessee Joe Chow Director, Power System Research Consortium, Rensselaer Polytechnic Institute
More informationPower-to-Gas energy storage is key to Germany s energy transition
Power-to-Gas energy storage is key to Germany s energy transition Dr. Roland Kircher Corporate Technology, Research & Technology Center Energy Conversion 3 rd Energy Policy Round Table Tokyo, 2012.07.12
More informationSolutions for Power Generation
EM SG SOLutions Solutions for Power Generation Energy Management Smart Grid Solutions Solutions for Power Generation Overview Power Applications Generation Planning and Trading Summary Page 2 Solutions
More informationSimulatie van het EU-wijde elektriciteitsysteem. Modellering van de elektriciteitsmarkt en de hierin gebruikte elektriciteitsinfrastructuur
Document number Simulatie van het EU-wijde elektriciteitsysteem Modellering van de elektriciteitsmarkt en de hierin gebruikte elektriciteitsinfrastructuur Presentatie voor Kivi Niria Utrecht, 16 April
More information1.224J/ESD.204J TRANSPORTATION OPERATIONS, PLANNING AND CONTROL: CARRIER SYSTEMS
1.224J/ESD.204J TRANSPORTATION OPERATIONS, PLANNING AND CONTROL: CARRIER SYSTEMS Professor Cynthia Barnhart Professor Nigel H.M. Wilson Fall 2003 1.224J/ ESD.204J Outline Sign-up Sheet Introductions Carrier
More informationPlanification du réseau, exploitation et gestion : nouvelles approches dans la recherche
Planification du réseau, exploitation et gestion : nouvelles approches dans la recherche Prof. Mario Paolone Distributed Electrical Systems Laboratory L e s d é fis de la m ise e n œ uvre de la s t r a
More informationThe evolution of optimization technologies
The evolution of optimization technologies Dash Optimization, Alkis Vazacopoulos INFORMS New York Metro Club October 11, 2005, The Penn Club, New York Agenda Optimization Applications Companies that offer
More informationElectricity Grid of the Future. Program Director: Dr. Sonja Glavaski
Electricity Grid of the Future Program Director: Dr. Sonja Glavaski Outline ARPA-e Overview US Energy Landscape DERs and Grid Integration Grid of the Future (Vision & Long Term Goals) Going Forward The
More informationClimate friendly, reliable, affordable: 100% renewable electricity supply by 2050
Climate friendly, reliable, affordable: 100% renewable electricity supply by 2050 Prof. Dr. Olav Hohmeyer German Council of Environmental Advisors (SRU) CDREN workshop Perspectives on hydropower s role
More informationANSYS, Inc. March 12, ANSYS HPC Licensing Options - Release
1 2016 ANSYS, Inc. March 12, 2017 ANSYS HPC Licensing Options - Release 18.0 - 4 Main Products HPC (per-process) 10 instead of 8 in 1 st Pack at Release 18.0 and higher HPC Pack HPC product rewarding volume
More informationPowrSym4. A Presentation by. Operation Simulation Associates, Inc. February, 2012
PowrSym4 A Presentation by Operation Simulation Associates, Inc. February, 2012 1 Presentation Contents History of PowrSym Introduction to OSA The PowrSym3 Model PowrSym4 Enhancements 2 PowrSym Background
More informationEasy Grid Analysis Method for a central observing and controlling system in the low voltage grid for E-Mobility and Renewable Integration
Easy Grid Analysis Method for a central observing and controlling system in the low voltage grid for E-Mobility and Renewable Integration Andreas SCHUSTER and Markus LITZLBAUER Vienna University of Technology,
More informationFrom data to actionable information: data curation, assimilation, and visualization
1 IEEE PES GM2016 Panel: Domain-Specific Big Data Analytics Tools in Power Systems Chair: Prof. Hamed Mohsenian-Rad, UC Riverside From data to actionable information: data curation, assimilation, and visualization
More informationIntegrating RES in Germany Options & Challenges from a Technical Point of View. European Forum on Electricity Pricing Berlin, 28th of May, 2013
Integrating RES in Germany Options & Challenges from a Technical Point of View European Forum on Electricity Pricing Berlin, 28th of May, 2013 1 Integrating RES in Germany Contents 1. RES in Germany Historical
More informationCP2K PARALLELISATION AND OPTIMISATION
CP2K PARALLELISATION AND OPTIMISATION Iain Bethune (ibethune@epcc.ed.ac.uk) http://tinyurl.com/cp2k2016 #CP2KSummerSchool Overview Overview of Parallel Programming models Shared Memory Distributed Memory
More informationMicrogrid EPFL Méthodes innovantes issues de la recherche
Microgrid EPFL Méthodes innovantes issues de la recherche Prof. Mario Paolone Distributed Electrical Systems Laboratory S m a r t Grids S o lutions intelligentes p o ur les s ites e t les v illes Mardi
More informationIntegrated modelling of the future energy system results and challenges
Integrated modelling of the future energy system results and challenges Magnus Korpås, Michael Belsnes, Ingeborg Graabak SINTEF Energi AS magnus.korpas@sintef.no Technology for a better society 1 Contents
More informationIMPACT OF THREE-PHASE PSEUDO-MEASUREMENT GENERATION FROM SMART METER DATA ON DISTRIBUTION GRID STATE ESTIMATION
3 rd International Conference on Electricity Distribution Lyon, 5-8 June 5 Paper 3 IMPACT OF THREE-PHASE PSEUDO-MEASUREMENT GENERATION FROM SMART METER DATA ON DISTRIBUTION GRID STATE ESTIMATION Moritz
More informationModeling Hydro Power Plants in Deregulated Electricity Markets: Integration and Application of EMCAS and VALORAGUA
Modeling Hydro Power Plants in Deregulated Electricity Markets: Integration and Application of EMCAS and Prakash Thimmapuram 1, Thomas D. Veselka 1, Vladimir Koritarov 1 Sónia Vilela 2, Ricardo Pereira
More informationPJM Perspective of the EPA Clean Power Plan: Analysis
PJM Perspective of the EPA Clean Power Plan: Analysis Consortium for Energy Policy Research Harvard University March 9, 2015 Cambridge, MA Muhsin K. Abdur-Rahman Senior Market Strategist Paul M. Sotkiewicz,
More informationHIGH RESOLUTION RENEWABLE ENERGY SCENARIOS & KOMMOD MODEL APPLICATION
HIGH RESOLUTION RENEWABLE ENERGY SCENARIOS & KOMMOD MODEL APPLICATION Introduction Gerhard Stryi-Hipp Coordinator»Smart Energy Cities«Fraunhofer Institute for Solar Energy Systems ISE Seminar on Provincial
More informationPredictions of Nuclear Energy Market Share in the U.S. Electricty Market
Predictions of Nuclear Energy Market Share in the U.S. Electricty Market The 25th USAEE/IAEE North American September 21, 2005 A. Yacout, G. Conzelmann, V. Koritarov, L. Van Den Durpel Argonne National
More informationData Processing of Thermal Power Plants Based on Dynamic Data Reconciliation
1327 A publication of CHEMICAL ENGINEERING TRANSACTIONS VOL. 61, 2017 Guest Editors: Petar S Varbanov, Rongxin Su, Hon Loong Lam, Xia Liu, Jiří J Klemeš Copyright 2017, AIDIC Servizi S.r.l. ISBN 978-88-95608-51-8;
More informationPRICE FORECASTS FOR POWER AND CERTIFICATE MARKETS
PRICE FORECASTS FOR POWER AND CERTIFICATE MARKETS FEBRUARY 2015 EDITION THEMA offers long term price forecasts for the Nordic and German power markets as well as the market for electricity certificates
More informationFinding an Optimal Path to 2050 Decarbonization Goals
Finding an Optimal Path to 2050 Decarbonization Goals John Bistline, Ph.D. Technical Leader 3 rd IEA-EPRI Workshop Paris October 17, 2016 Substantial Effort Beyond NDCs Will Be Required Billion tonnes
More informationDie Stadt als Speicher Making Cities Smarter
Die Stadt als Speicher Making Cities Smarter Workshop Grid + Storage, Munich, 09.03.2016 Stefan Kippelt, TU Dortmund University 3/31/2016 Motivation increasing demand for flexibility in the power system
More informationTAKING ADVANTAGE OF DEGENERACY IN MATHEMATICAL PROGRAMMING
TAKING ADVANTAGE OF DEGENERACY IN MATHEMATICAL PROGRAMMING F. Soumis, I. Elhallaoui, G. Desaulniers, J. Desrosiers, and many students and post-docs Column Generation 2012 GERAD 1 OVERVIEW THE TEAM PRESENS
More informationTh T e h e P R P IM I E M S E S E n E e n r e gy g M o M d o e d l e A.. G en e e n r e al a l O ver e vie i w e E3 E M M Lab
The PRIMES Energy Model Energy-Economy-Environment Environment Modeling Laboratory National Technical University of Athens November 2007, Brussels The PRIMES Energy Model A. General Overview PRIMES ENERGY
More informationSimulation-Based Optimization Framework with Heat Integration
Simulation-Based Optimization Framework with Heat Integration Yang Chen a,b, John Eslick a,b, Ignacio Grossmann a, David Miller b a. Dept. of Chemical Engineering, Carnegie Mellon University b. National
More informationTransmission Expansion Planning of Systems With Increasing Wind Power Integration
IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 28, NO. 2, MAY 2013 1355 Transmission Expansion Planning of Systems With Increasing Wind Power Integration George A. Orfanos, Pavlos S. Georgilakis, Senior Member,
More informationenergy [r]evolution A SUSTAINABLE USA ENERGY OUTLOOK Executive Summary
energy [r]evolution A SUSTAINABLE USA ENERGY OUTLOOK Executive Summary report 3 rd edition 2014 USA energy scenario May 2014 Energy [R]evolution: A Sustainable USA Energy Outlook Executive Summary May
More informationA Mixed Integer Programming Solution for Market Clearing and Reliability Analysis
1 A Mixed Integer Programming Solution for Market Clearing and Reliability Analysis Dan Streiffert, Russ Philbrick, and Andrew Ott Abstract This paper presents a description of a Mixed Integer Programming
More informationModeling of competition in revenue management Petr Fiala 1
Modeling of competition in revenue management Petr Fiala 1 Abstract. Revenue management (RM) is the art and science of predicting consumer behavior and optimizing price and product availability to maximize
More informationA Framework for Implementing Flexible Electric Energy Systems using IoT
A Framework for Implementing Flexible Electric Energy Systems using IoT With a focus on thermal flexibility Henrik Madsen, DTU Compute http://www.henrikmadsen.org http://www.smart-cities-centre.org The
More informationFuture Energy Scenarios in five minutes. July 2017
Future Energy Scenarios in five minutes July 2017 Executive summary About FES National Grid has an important role to play in leading the debate on the energy revolution across the industry and working
More informationLong-Term Electricity Scenarios 2050
Long-Term Electricity Scenarios 2050 Enerday 03.04.2009 Enertrain Team: Lucas Bückers, Jonas Egerer, Clemens Gerbaulet, Marlen Goerner, Clemens Haftendorn, Christian von Hirschhausen, Wolf-Peter Schill,
More informationVirtual Power Plant Introduction of the project
Virtual Power Plant Introduction of the project Transform 2012 Lars Lorenz November 22nd 2012 1 Virtual power plant Lars Lorenz DW-DHD The Virtual Power Plant fits in perfectly in the german Energiewende
More informationAnalyses market and policy trends for electricity, heat and transport Investigates the strategic drivers for RE deployment Benchmarks the impact and c
Paolo Frankl Head Renewable Energy Division International Energy Agency Institute of Energy Economics, Japan (IEEJ) Energy Seminar Tokyo, 7 March 2012 OECD/IEA 2011 Analyses market and policy trends for
More informationEMS of the Future. EMS Users Conference Chicago, Illinois. John McDaniel September 20, Proprietary 1 Experience you can trust.
EMS of the Future EMS Users Conference Chicago, Illinois John McDaniel September 20, 2010 Proprietary 1 Experience you can trust. Overview Key Issues Shaping EMS Implementations Operational Issues Being
More informationControlling the Electricity Load in Future Intelligent and Integrated Energy Systems
Controlling the Electricity Load in Future Intelligent and Integrated Energy Systems Henrik Madsen Dept. Appl. Mathematics and Computer Science, DTU http://www.smart-cities-centre.org http://smartnet-project.eu
More informationValue-based Transmission Investment and Operations. Marija Ilic Invited Panel, IEEE PES 2014 Washington DC
Value-based Transmission Investment and Operations Marija Ilic milic@ece.cmu.edu Invited Panel, IEEE PES 2014 Washington DC 2 Outline The evolving role of on-line T&D management Basic definition of an
More informationConsequences of the German Energy Transition on the operation regime and the availability of coal fired power plants
Consequences of the German Energy Transition on the operation regime and the availability of coal fired power plants Delhi, December 1, 217 Dr. Oliver Then Agenda 1. Who is VGB? 2. German energy market
More informationCoastal Consumption of Off-Shore Wind Energy: Simulation and Optimization. Masterarbeit. vorgelegt von
Coastal Consumption of Off-Shore Wind Energy: Simulation and Optimization Masterarbeit zur Erlangung des akademischen Grades Master of Science (M.Sc.) im Studiengang Wirtschaftsingenieur der Fakultät für
More informationTechnical Bulletin Comparison of Lossy versus Lossless Shift Factors in the ISO Market Optimizations
Technical Bulletin 2009-06-03 Comparison of Lossy versus Lossless Shift Factors in the ISO Market Optimizations June 15, 2009 Comparison of Lossy versus Lossless Shift Factors in the ISO Market Optimizations
More informationChallenges in Application Scaling In an Exascale Environment
Challenges in Application Scaling In an Exascale Environment 14 th Workshop on the Use of High Performance Computing In Meteorology November 2, 2010 Dr Don Grice IBM Page 1 Growth of the Largest Computers
More informationGeneration Technology Assessment & Production Cost Analysis
SPO Planning Analysis Generation Technology Assessment & Production Cost Analysis EAI Stakeholder Meeting July 31, 212 Technology Life Cycle Technology Deployment Over Time Conceptual Research & Development
More informationIS BALANCING FROM HYDROPOWER A FEASIBLE IDEA
IS BALANCING FROM HYDROPOWER A FEASIBLE IDEA RIGA 2017-12-07 Research Manager Michael M. Belsnes A FEW WORDS ABOUT SINTEF One of Europe s largest independent research organisations and not-for-profit 2000
More informationThe European Power System in 2030: Flexibility Challenges and Integration Benefits An analysis with a regional focus on the Pentalateral Energy Forum*
The European Power System in 2030: Flexibility Challenges and Integration Benefits An analysis with a regional focus on the Pentalateral Energy Forum* CHRISTIAN REDL, DIMITRI PESCIA WEBINAR, 9 JULY 2015
More informationLas Vegas, NV Modeling of Clean Energy Policies and Electrification in New York and New England
EPIS 20 th EMFC Las Vegas, NV Modeling of Clean Energy Policies and Electrification in New York and New England September 8, 2017 www.pace.global.com Introduction Case Study Overview Objective Client seeking
More informationProteus. Full-Chip Mask Synthesis. Benefits. Production-Proven Performance and Superior Quality of Results. synopsys.com DATASHEET
DATASHEET Proteus Full-Chip Mask Synthesis Proteus provides a comprehensive and powerful environment for performing full-chip proximity correction, building models for correction, and analyzing proximity
More informationCOGEN Europe Position Paper
COGEN Europe Position Paper Micro-CHP A cost-effective solution to save energy, reduce GHG emissions and partner with intermittent renewables Micro-CHP 1 is the state-of-the-art energy supply solution
More informationVariable Renewable Energy Sources in Distribution Networks Martin Braun Fraunhofer IWES & Universität Kassel
Variable Renewable Energy Sources in Distribution Networks Fraunhofer IWES & Universität Kassel 1st International Conference on Large-Scale Grid Integration of Renewable Energy in India New Delhi, India
More informationMTEP18 Futures. Planning Advisory Committee June 14, 2017
MTEP18 Futures Planning Advisory Committee June 14, 2017 Overview Objective: Present final MTEP18 Futures and an overview of stakeholder feedback Key Takeaways: Four Futures to be used in MTEP18 to consider
More informationCHAPTER 1 EXECUTIVE SUMMARY
CHAPTER 1 EXECUTIVE SUMMARY The 2016 SD Electricity Supply Resource Procurement Plan The 2016 South Dakota Electricity Supply Resource Procurement Plan ( Plan ) evaluates NorthWestern Energy s ( NorthWestern
More informationThe Project: Who? Why? What?
The Project: Who? Why? What? Guido Piccoli A.L.O.T. S.c.a r.l. (Partner) Ludwig Karg B.A.U.M. Consult GmbH (Leadpartner) When is a good moment for the turn? Now! 2 The Future of Energy Supply Nuclear Water
More informationSolving Stochastic Problems (and the DECIS System) MS&E348 Winter 2011/2012 Professor Gerd Infanger
Solving Stochastic Problems (and the DECIS System) MS&E348 Winter 2011/2012 Professor Gerd Infanger Synopsis Uncertainty plays a key role in many decisions Uncertain prices, demands, and availability of
More informationReport on the completion of the Link Foundation Fellowship ( )
Report on the completion of the Link Foundation Fellowship (2014-2016) Ranjit Deshmukh Energy and Resources Group, University of California at Berkeley Wind and solar generation sources have the potential
More informationEugene Water & Electric Board. The Future of Utilities in the Pacific Northwest
Eugene Water & Electric Board The Future of Utilities in the Pacific Northwest 1 Eugene Water & Electric Board The Future of Utilities in the Pacific Northwest Erin Erben Manager, Power & Strategic Planning
More informationFlexibility for Variable Renewable Energy Integration in the Nordic Energy System
Flexibility for Variable Renewable Energy Integration in the Nordic Energy System Danish & Nordic perspectives Klaus Skytte Head of Energy Economics and Regulation DTU Management Engineering Systems Analysis
More informationAnjan Kumar Sinha NTPC Ltd
Flexibilisation of Thermal Stations-NTPC's Approach Anjan Kumar Sinha NTPC Ltd Contents Variability of Renewable Power Flexibilization: Need for Benchmarking Operationalisation of flexibility Design and
More informationGlobal Energy Storage Demand for a 100% Renewable Electricity Supply
Global Energy Storage Demand for a 100% Renewable Electricity Supply Guido Pleßmann, Matthias Erdmann, Markus Hlusiak and Christian Breyer 8 th International Renewable Energy Storage Conference and Exhibition
More informationOn Refining Ill-Defined Constraint Problems: A Case Study in Iterative Prototyping
On Refining Ill-Defined Constraint Problems: A Case Study in Iterative Prototyping Carmen Gervet Yves Caseau Denis Montaut IC-Parc, Imperial College Bouygues, D.T.N. Euro-Decision London SW7 2AZ 1 av.
More informationDistribution System Operator (DSO) Simulation Studio
Distribution System Operator (DSO) Simulation Studio Santiago Grijalva ProsumerGrid, Inc. Network Optimized Distributed Energy Systems (NODES) Kickoff Meeting February 11th 12th, 2016 ProsumerGrid, Inc.
More informationEntwicklung des Regelleistungsmarktes in Deutschland bis 2025
Strommarkttreffen 14.8.215 Entwicklung des Regelleistungsmarktes in Deutschland bis 225 Casimir Lorenz, Clemens Gerbaulet TU Berlin, Workgroup for Infrastructure Policy DIW Berlin, Department of Energy,
More informationSolving Business Problems with Analytics
Solving Business Problems with Analytics New York Chapter Meeting INFORMS New York, NY SAS Institute Inc. December 12, 2012 c 2010, SAS Institute Inc. All rights reserved. Outline 1 Customer Case Study:
More informationOptimization in Supply Chain Planning
Optimization in Supply Chain Planning Dr. Christopher Sürie Expert Consultant SCM Optimization Agenda Introduction Hierarchical Planning Approach and Modeling Capability Optimizer Architecture and Optimization
More informationLes travaux de l'epfl dans le Smart Grids. Prof. Mario Paolone EPFL - Distributed Electrical Systems Laboratory
Les travaux de l'epfl dans le Smart Grids Prof. Mario Paolone EPFL - Distributed Electrical Systems Laboratory http://desl-pwrs.epfl.ch Outline Needs Challenges EPFL-SG research Conclusions Needs Renewable
More informationVTU Energy concentrates on consultancy and software systems for the power and energy-intensive process industries.
VTU Energy is part of the VTU Group with headquarters in Grambach, Austria. VTU is the abbreviation for the German words Verfahren (process) Technologie (technology) Umwelt (environment) which actually
More informationTomorrow s Energy Scenarios 2017 Summary Booklet
Tomorrow s Energy Scenarios 2017 Summary Booklet Planning our Energy Future EirGrid Tomorrow s Energy Scenarios Summary Booklet Planning our Energy Future Page 1 Introducing scenario planning At EirGrid,
More informationStudy of Using Energy Storage to Mitigate the Impact of High Renewable Energy Penetration to the Grid
Study of Using Energy Storage to Mitigate the Impact of High Renewable Energy Penetration to the Grid 2017. 05. 17 Che-I Lin (TPRI) Taiwan Power Company Outline Introduction Development of Renewable Energy
More informationFCEV Development at GM: Status and Focus
FCEV Development at GM: Status and Focus George P. Hansen Director, Communications General Motors Japan Innovation for Cool Earth Forum October 7&8, 2015 1 Overview GM Advanced Propulsion Strategy Role
More informationR e p l a c i n g D i e s e l G e n e r a t i o n w i t h R e n e w a b l e S o u r c e s i n N u n a v u t C o m m u n i t i e s : P r e - s e l e c
R e p l a c i n g D i e s e l G e n e r a t i o n w i t h R e n e w a b l e S o u r c e s i n N u n a v u t C o m m u n i t i e s : P r e - s e l e c t i o n a n d P r e - f e a s i b i l i t y S t u d
More informationCustomer-Owned Grid Connected Devices. The Need for an Open Architecture
Customer-Owned Grid Connected Devices The Need for an Open Architecture Duke Energy Duke Energy, at a glance IN KY OH NC Largest Utility in the United States (1) Total assets: ~$114 billion Market capitalization:
More informationDigital Wind Operations Optimization from GE Renewable Energy. Enhance the performance and efficiency of your people and machines to drive outcomes
Digital Wind Operations Optimization from GE Renewable Energy Enhance the performance and efficiency of your people and machines to drive outcomes Operations Optimization Business Challenges Solution:
More informationModeling and Solving Scheduling Problems with CP Optimizer
Modeling and Solving Scheduling Problems with CP Optimizer Philippe Laborie CPLEX Optimization Studio Team May 28, 2014 IBM Decision Optimization Virtual User Group Meeting Agenda IBM ILOG CP Optimizer
More informationCMS readiness for multi-core workload scheduling
CMS readiness for multi-core workload scheduling Antonio Pérez-Calero Yzquierdo, on behalf of the CMS Collaboration, Computing and Offline, Submission Infrastructure Group CHEP 2016 San Francisco, USA
More informationProblem-Specific State Space Partitioning for Dynamic Vehicle Routing Problems
Volker Nissen, Dirk Stelzer, Steffen Straßburger und Daniel Fischer (Hrsg.): Multikonferenz Wirtschaftsinformatik (MKWI) 2016 Technische Universität Ilmenau 09. - 11. März 2016 Ilmenau 2016 ISBN 978-3-86360-132-4
More informationSimplify APC Tuning and Configuration
WHITE PAPER Simplify APC Tuning and Configuration Advanced Process Control Tushar Singh, APC Product Marketing, Aspen Technology, Inc. Lucas Reis, APC Product Management, Aspen Technology, Inc. Introduction
More informationNearly-zero, Net zero and Plus Energy Buildings How definitions & regulations affect the solutions
Nearly-zero, Net zero and Plus Energy Buildings How definitions & regulations affect the solutions The topic of Zero Energy Buildings (ZEBs) has received increasing attention in recent years, up to inclusion
More informationOf Finite Stage Markov Decision Process In Policy Determination For Employees Motivation
0 Application 8 МЕЖДУНАРОДНА КОНФЕРЕНЦИЯ 8 INTERNATIONAL CONFERENCE АВАНГАРДНИ МАШИНОСТРОИТЕЛНИ ОБРАБОТКИ ADVANCED MANUFACTURING OPERATIONS Of Finite Stage Markov Decision Process In Policy Determination
More informationCERAWeek Bob Dudley. Group chief executive. 6 March 2018
Bob Dudley Group chief executive 6 March 2018 Good afternoon everyone. It s great to be back at CERA. Dan and the team at HIS Markit do such a great job. We re welcomed to town, see old friends and make
More informationThe Battle of Modernities Perspectives on the Greening of European Electricity
The Battle of Modernities Perspectives on the Greening of European Electricity Atle Midttun Presentation at the Salzburg Energy Seminar 2011 1 The Battle of Modernities Carbon Based Promethean Modernity
More informationStrategic Design of Robust Global Supply Chains: Two Case Studies from the Paper Industry
Strategic Design of Robust Global Supply Chains: Two Case Studies from the Paper Industry T. Santoso, M. Goetschalckx, S. Ahmed, A. Shapiro Abstract To remain competitive in today's competitive global
More information