Status of Energy Lab 2.0 and overview of PHIL activities. Joern Geisbuesch (KIT) for the Energy Lab 2.0 Collaboration and the PHIL ITEP/KIT

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1 Status of Energy Lab 2.0 and overview of PHIL activities Joern Geisbuesch (KIT) for the Energy Lab 2.0 Collaboration and the PHIL ITEP/KIT

2 Overview Energy Lab 2.0 Introduction and general overview The Smart Energy System Simulation and Control Center (SEnSSiCC) A central part of Energy Lab 2.0 Existing Power Hardware in the Loop facility The training station at the Institute for Technical Physics (ITEP)/KIT

3 Energy Lab 2.0 Motivation CO 2 Emissions (Germany) Non-Energy 15% Others 5% Electricity 32% approx. 85% energy related * Increase of renewable generation (e.g. wind and solar) Increase of electricity share (e.g. E-Mobility) Transport 17% Graphics JG * Source: BMWi, Berlin, November 2015 Heat 31%

4 Energy Lab 2.0 Facts Large-scale research infrastructure to investigate future energy systems based on renewable decentral energy generation Experiments, (Co-)Simulations and Big Data. Investment budget: 25 million Euros A Helmholtz Association project that is embedded in several Helmholtz programs. Partners:

5 Energy Lab 2.0 Research objectives Flexibility: Relax the to-date strong dependence of time and location of energy generation (i.e. conventional) and consumption (industrial and household loads) Sustainability: Ensure integration of a high percentage of decentral renewable energy generation (e.g. wind and solar) Reliability: Ensure grid stability (intermittency and volatility of renewable generation) demand matching and generation buffering (storage and conversion) Safety: Ensure an operational infrastructure (hardware and control) prevent outages and black-outs Innovation: Pave the way for new technologies (e.g. superconductivity based), grid topologies (e.g. cellular), business models etc.

6 Energy Lab 2.0 Sector coupling Heat Study of the energy system as an entity: Graphics KIT Fuel Electricity Gas A smart energy system solution involves generation, distribution, storage and consumption of all sectors (electricity, heat, gas and fuel) and their interplay. Graphics JG

7 Energy Lab 2.0 Layout & Interactions Energy system stability and flexibility via energy conversion Increase of system complexity Graphics KIT Foundation: Information and Communication Technology (ICT) platform

8 Energy Lab 2.0 Existing Infrastructure Bioliq Plant o 2 MW fast pyrolysis o 5 MW synthesis gas o 150 kg/h dimethylether 1 MW Photovoltaic experimental field o approx. 1 MW peak o load adapted KIT as prosumer Campus North o 4500 employees o 21 MW peak load o 120 MWh/a Energy Smart Home Laboratory Graphics KIT

9 Energy Lab 2.0 SEnSSiCC bldg. Home of the ICT platform and the electrical grid laboratories.

10 SEnSSiCC Control Center Room Grid operation control center (operator interface) Visualisation & monitoring Integration of external data and plants Pic California ISO

11 SEnSSiCC Grid simulation and analysis lab Energy grid modeling, energy sector (co-)simulations Graphics KIT Measurements & long-time monitoring Data analysis, management & archiving, data security Graphics KIT

12 SEnSSiCC Microgrid: SESCL Inter-connection of different operating resources and equipment by a switching matrix. Device & Appliance pool Transmission line pool PLC Switching matrix Graphics JI/KIT

13 SEnSSiCC PHIL 1 MVA Laboratory Five 200 kva modules AC and DC operation modes Graphics KIT

14 Current group members: Frank Gröner, Felix Kaiser, Shahab Karrari, Dustin Kottonau, Philip Kreideweis, Marc Neu, Christian Lange, Wescley de Sousa, Jörn Geisbüsch PHIL Training station Pic JG

15 PHIL training station characterization Delays, latencies and run-times Ongoing developments of highly dynamic multi-channel measurement systems. Real-time Simulator Focus: digital system with data pre-handling and analysis. Measurement system Power amplifier unit Pic by PM

16 PHIL training station research opportunities Implementation of real-time hardware simulation models physical simulation models empirical modeling based on data sets Power hardware characterization and field testing Power grid topology and component studies

17 Real-time model implementation I Distribution grid voltage support by Energy Storage Systems Energy Storage Systems can compensate voltage sags caused by faults in distribution grids Comparison of model implementations in HYPERSIM and MATLAB for verification (averaged modelling of converters is applied) Figures by SK PhD project of Shahab Karrari

18 Real-time model implementation I Figures by SK

19 Real-time model implementation II New technologies: Superconducting Fault Current Limiter Implementation of a YBCO 2G coil Superconducting Fault Current Limiter (SFCL) and its behavior during the fault period. Limited Current (top left), voltage drop over the device terminals (top right), equivalent resistance (bottom left) and temperature of each layer of the tapes (for structure see below) Comparison of HYPERSIM simulation with prediction obtained from MATLAB Model by Wescley de Sousa Figures by WdS

20 Power Hardware testing I New technologies: inductive Superconducting FCL Lay-outing and design of an inductive Superconducting Fault Current Limiter COMSOL simulation of magnetic flux density levels (blue) and field lines (red) before and at current limitation Figures by FK Hardware testing in the PHIL training station Master project of Felix Kaiser

21 Power Hardware testing II Simulation-Hardware Interface design Motivation: Dynamic PHIL, study of transient events and impedance changes Present work: Mainly implementation and study of established algorithms Figure by LD Criteria: Stability and accuracy (experimental design), simplicity Master thesis by Lukas Dritschler

22 Power grid component studies L Hz shutdown Frequency sweep from 46.7 Hz to 46.2 Hz L2 Figures & Pic by ITEP/CompetenceE

23 THANK YOU