Transactive Energy Challenge Kickoff Workshop: Tata Consultancy Services Ltd. (TCS)

Transcription

1 Transactive Energy Challenge Kickoff Workshop: Tata Consultancy Services Ltd. (TCS) Area of Interest: Functionality / Capabilities: Proposed Scenario: Impacts/Why: Partners Needed: Integrated What-if Analyzer for Wholesale Electricity Market Optimal portfolio, optimal bidding strategy, spot price under different market scenarios Model & simulate the short term market environment to conduct What-If studies Game theoretic modeling of generators in an integrated market environment & stochastic modeling of the uncertainties in Distributed Energy Resources (DER) & in demand Generation companies, Market Operators 1

2 Transactive Energy Challenge Kickoff Workshop: Tata Consultancy Services Ltd. (TCS) Area of Interest: Functionality / Capabilities: Proposed Scenario: Impacts/Why: Partners Needed: Microgrid Based Operations, Flexible Microgrids Network, DER & Storage Modeling, Simulation of Dynamic Microgrids Optimal network configuration using Honeycombed Microgrids covering the service area; Microgrids based operations Flexible Honeycombed Microgrid model covering the service area & set of scenarios & use cases based on the TE Framework Distribution Companies & Retailers 2

3 Transactive Energy Challenge Kickoff Workshop: Tata Consultancy Services Ltd. (TCS) Area of Interest: Functionality / Capabilities: Proposed Scenario: Impacts/Why: Partners Needed: Impact of Price on Demand & on Distributed Energy Resources Price-Demand & Price-DER relationship models, gametheoretic model for conflict of objectives Model impact of price on demand / DER & to model conflicts using game theory Price-Demand & Price-DER relationships will help in value-based control & DR programs Distribution companies / Retailers, DER Owners 3

4 Transactive Energy Challenge Kickoff Workshop: Tata Consultancy Services Ltd. (TCS) Area of Interest: Functionality / Capabilities: Proposed Scenario: Impacts/Why: Partners Needed: Analytics for Enabling Demand Response Solar corrected demand forecast; Optimal location of charging stations; Inputs to DR programs; Information on Outages Develop analytics for enabling Demand Response using smart meter data Analytics using data intelligently to support the utility in transactive control Distribution companies / Retailers 4

5 Area of Interest: Functionality / Capabilities: Proposed Scenario: Transactive Energy Challenge Kickoff Workshop: Tata Consultancy Services Ltd. (TCS) Distribution System Operator Model Model for encouraging active participation of Prosumers; Algorithms for automatic load scheduler at Prosumer level; Incentives / Penalties to Prosumers to provide PQ (Power Quality) as a service based on voltage / frequency change required, duration of service, & Response time Design a DSO model which includes direct participation of Prosumers in the retail market & incentives for prosumers to provide PQ as a service Impacts/Why: Optimal response of a Prosumer using load scheduling algorithms & PQ as a service Partners Needed: Distribution companies 5

6 Transactive Energy Challenge Kickoff Workshop: Tata Consultancy Services Ltd. (TCS) Area of Interest: Functionality / Capabilities: Proposed Scenario: Impacts/Why: Partners Needed: Mechanism Design for Promoting Green Energy Incentive mechanism design, game theoretic modeling Mathematical model for green energy promotion using incentive based mechanism Promoting green energy for TE evaluation Regulators, policy makers, academic institutions 6

7 Regulator Integrated What-if Analyzer for Wholesale Electricity Market Utility Customer Renewable integration Emission & price limits Grid security/reliability Financial incentives Plant economics Asset limitations Bilateral agreements Hedging DSM programs Load elasticity & usage preferences Storage abilities Micro generation Policies & constraints Key: To develop an integrated model of the market & do holistic what-if simulations Expected market price Optimal portfolio of generation Cost of generation Market simulation Optimal bidding strategy Bid price & quantity 7

8 Microgrids Based Operation Flexible Honeycombed Microgrids Distribution Network Model Load, DER Schedules Contingency Scenarios from historical data Real Time Network Events Network Constraints Private Microgrid Boundaries Configuration Repository For Scenarios Dynamic Microgrid Configurator Honeycombed Microgrids Configuration 8

9 Impact of Price on Demand & Distributed Energy Resources Customer N Customer 1 Incentive or control signal Customer N Demand profiles Price profile Estimation of function D t = f P t, t, CI t,. Demand response program Market operator 9

10 Demand (MW) Analytics for Enabling Demand Response AMI Control Signal Distribution Utility Supply & Demand Data 0 Demand Forecast Demand Forecast Roof-top Solar Forecast Hour AMI Distribution Utility Analytics 10

11 Distribution System Operator Model DSO Market Function Power Quality Model Services Cost Model Grid Model: Prosumers, DER, Storage Schedules VVO Controls Incentives Transaction Schedule Distributed Load Profiles Distributed Generation Schedules Control Model Feedback Quality Parameters 11

12 Mechanism Design for Promoting Green Energy Solar Power Generators Regulator Storage Devices (Centralized or distributed) Wind Power Generators Mechanism Design Flexible Loads System Operator DG sets/other conventional generators Plug-in Hybrid Electric Vehicles Flow of Information / control signal 12