Distribution System Operator (DSO) Simulation Studio
Transcript of Distribution System Operator (DSO) Simulation Studio
Distribution System Operator (DSO) Simulation StudioSantiago GrijalvaProsumerGrid, Inc.
Project Objectives
Fill the void in the industry’s capability to simulate and optimally plan distribution systems with high penetration and complex portfolios of DERs.
Develop a simulation tool that can:– Capture the physical and economic trade-offs involved in
distribution system DER planning and operation.– Support critical decision-making associated with DER and grid
infrastructure investment.– Leverage recent breakthroughs in large-scale optimization and
state-of-the-art software methods to realize an interactive, powerful simulator.
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The Challenge The electric industry is moving towards a model based on DERs,
energy services, and active customers. − Investment decisions involve $1.5 trillion in the U.S. by 2030− There are many ideas on how DER-based distribution systems should be
realized, operated, planned (or mandated), incentivized, etc., but there is no effective way to test those ideas.
“Transforming America’s Power Industry: The Investment Challenge 2010 – 2030”The Brattle Group (Brattle) for The Edison Foundation (EEI)
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The Challenge
Currently, it is very difficult to:− Simulate the physical impact of DERs on the grid.
− Example: Hosting capacity of PV + Storage− Determine the optimal operation of DERs
− Example: Dispatch of DG + Storage + DR− Assess the value and determine optimal
investments in DER portfolios− Example: Non-wires alternatives
− Simulate various market designs. − Example: REV, DSO Markets
A quantum leap is needed in the industry’s capability to simulate (and hence to optimally plan and operate) DER-based distribution systems.
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Regulators
Market Participants
UtilityEngineers
Developers
DER/DSO Simulation Studio
Interactive, web-based software to simulate the optimal operation and determine optimal plans for distribution grids with massive number of DERs. Advanced optimization algorithms on top of full 3-phase, AC, unbalanced
grid model are able to capture: a) physical DER and grid constraints, b) controller operation, c) system coordination, and d) economics.
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DER Planning & DSO Simulation Studio
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Regulators
Market Participants
UtilityEngineers
Developers
Quantum Leap
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Existing SimulationPower flow-based
Mostly for PV
Centralized
“Spreadsheet” B/C analysis
No market modeling
Single processor
Command prompt
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Simulator Innovative FeaturesOptimization-based DER Scheduling
All types of DER, combinations of DERs
Decentralized, multi-agent, massively scalable
DER valuation based on stochastic optimization
Services transactions market modeling
HPC-native, cloud-based
Web-based, Interactive
Core: DER Energy Scheduling
Full model of unbalanced, 3-phase AC distribution grid.
DER Decision-Variables− Curtailable PV− Schedulable Storage− Electric Vehicles− Flexible Demand− Distributed Generation− Fuel Cells, CHP
Output:− Optimal Schedules for all DERs− Time Vector, Per Phase, Distribution
Locational Marginal Prices (DLMP)
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• High-fidelity Optimization determines the minimum-cost schedule of arbitrary sets of DERs in the distribution grid
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Seamless selection of DER penetration options Example: Hosting capacity of solar PV + schedulable energy storage
DER Hosting Capacity Analysis
• Interconnection studies for single DER or arbitrary combinations of multiple types of DER in complex distribution systems
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DER Locational Value & NWA Analysis
Electric Utility Planning and Procurement have to evaluate DER as non-wires alternatives to traditional capital investments
DER/DSO Simulator considers:– The locational and temporal value
of integrated DERs portfolios– The network physical constraints– The market constraints– How the DERs are operated– T/D interactions
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• Evaluate DER portfolios as non-wire alternatives to grid upgrades
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Support for RFP Design by Optimal DER Portfolio Studies
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PLANNING
Forecasting/ DER Scenario
Generation
Distribution Grid Studies
DER Forecast
Demand Forecast
Hosting Capacity Analysis
Load Growth Analysis
Distribution Grid Needs
Evaluate Alternatives
Design Request for Proposals
Technical Feasibility Screening
Sourcing DER Provided Services
Traditional:Upgrading
Existing Assets-Reconfiguration
Time (hours)
GW
2 4 6 8 10 12 14 16 18 20 22 240
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0 1000 2000 3000 4000 5000 6000 7000 8000 90005
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Time (hours)
GW
Maintenance & Reliability Program
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Time (hour)
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1.2Olin Barre Case: 2019 Substation Demand Loading Prof ile with DER Portfolio
Load Growth Need
Hosting Capacity Need
yMaintenance/
Reliability Need
NWA:Competitive
Sourcing of DER
Assess Wires/Non-Wires
Alternatives
Traditional:Deploying New
Assets-Reconfiguration
Optimal DER Portfolio Design(before RFP is out)
-Support RFP Design -Design Optimal DER portfolio to defer/avoid traditional investment and solve Distribution Grid Need-Determine Optimal DER type,
capacity, location
Optimal DER Portfolio Design(before RFP is out)
-Support RFP Design -Design Optimal DER portfolio to defer/avoid traditional investment and solve Distribution Grid Need-Determine Optimal DER type,
capacity, location
Optimal DER Project Assessment(after RFP)
-Support DER Alternatives Selection
-Support Assessment of third party proposals to form the least
cost combination of DER proposals
Optimal DER Project Assessment(after RFP)
-Support DER Alternatives Selection
-Support Assessment of third party proposals to form the least
cost combination of DER proposals
DSO/DSP Market Design
Flexible definition of markets:– Participants: customers,
aggregators, microgrids, prosumers, etc.
– Services: energy, reserve, frequency regulation, expansion deferral, etc.
– Market rules: horizons, bidding, etc. Energy and services pricing
– Transaction-based Support for decentralized
models:– Peer to peer markets– DSO/DSO or DSO/ISO interactions– Nested markets:
ISO/DSO/Community, etc.
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• Studio Environment for Design of Markets at the Distribution Level supporting DSO/DSP/REV efforts
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Partnerships
Established partnerships with more than 10 electric utilities and coops to study emerging use cases
DER Integration:– Benefits from energy storage– Combined solar and storage
DER Valuation– Impact of flexible DR– DR/DERs NWA S/E expansion– Avoided Costs– RFP Evaluation
Resilience Analysis– Impact of DER on Resilience.
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Hurricane Maria: non-served energy of 3,096 GWh (largest blackout in US History). Project seeks to assess optimal selection of DER and grid
technologies to drastically increase grid resilience in case of severe weather events.
Puerto Rico Grid-Redesign Study
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Project uses combined T/D optimal DER valuation including location (feeder node and phase), DER type, amount, and optimal cost.
Resilience Module enables determination of grid locational restoration time for arbitrary hurricane path and severity.
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Puerto Rico Grid-Redesign Study
Large-Scale T/D Optimization
Next Steps
Various functions of the software successfully tested on the “Large-Scale Model”. CA transmission system + 100 feeders each with more than 500
nodes, each node and phase with various DERs. Running currently on AWS
Beta Testing completed by partners by May 2019 Product Release by August 2019 Currently initiating Series A Investment
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