4.1_Simulation & Analysis Tools for Microgrids_Weng and Cortes_EPRI/SNL Microgrid
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The document outlines the techno-economic assessment for microgrids, focusing on design, sizing, and optimal dispatch of distributed energy resources (DER). It highlights the importance of combining technical requirements, cost factors, and policy in the design process while addressing challenges such as optimization limitations and uncertainty management. Various software tools and methodologies are discussed to aid in the feasibility assessment and enhance decision-making in microgrid projects.
4.1_Simulation & Analysis Tools for Microgrids_Weng and Cortes_EPRI/SNL Microgrid
- 1. 1 © 2016 Electric Power Research Institute, Inc. All rights reserved. Overview of Techno-Economic Assessment Simulation & Analysis tools for Microgrids
- 2. 2 © 2016 Electric Power Research Institute, Inc. All rights reserved. What is Feasibility (Techno-Economic) Assessment? Evaluate use cases for Microgrid & DERs Microgrid design DER sizing & Optimal dispatch First-order analysis of Costs & Benefits Identify challenges that need to be addressed in detailed design and demonstration/implementation phases
- 3. 3 © 2016 Electric Power Research Institute, Inc. All rights reserved. Study Process
- 4. 4 © 2016 Electric Power Research Institute, Inc. All rights reserved. Microgrid design Three driving aspects of the design: – Technical requirements – Capital & Operating Costs – Policy Technical specifications affect costs/benefits Microgrid design Policy Costs/benefits Technical specs.
- 5. 5 © 2016 Electric Power Research Institute, Inc. All rights reserved. Microgrid design: Software tools Software tools combine: Optimization algorithms Heuristics Databases Outcome: A “good” idea of the microgrid design UI SOLVER MODEL DATABASE
- 6. 6 © 2016 Electric Power Research Institute, Inc. All rights reserved. Modeling Process Overview Inputs Electrical & Thermal Loads Electricity & Gas tariff data DER data Site Weather Data Outputs Optimal DER Mix & Capacity DER Dispatch Quantitative Cost/Benefit F Investment & Financing Objectives Minimize Cost Minimize Emissions % Renewable Penetration … Outage Duration Constraints Cost/Emissions Cap Zero Net Energy Specify DER types/size/models Optimization/Search Engine
- 7. 7 © 2016 Electric Power Research Institute, Inc. All rights reserved. Limitations Optimization is a powerful tool, but not every problem can be solved, due to: – Non-convexity, – Prohibitively large number of variables Methods include relaxations (might neglect important design specifications)
- 8. 8 © 2016 Electric Power Research Institute, Inc. All rights reserved. Addressing limitations Execute optimization approach Test design feasibility on a more realistic model Final economic analysis/ decision making Use engineering judgement, heuristics, previous experience New constraints If infeasible If feasible Design parameters
- 9. 9 © 2016 Electric Power Research Institute, Inc. All rights reserved. Examples of software tools DER-CAM – MILP Bilevel optimization approach – Deterministic – Computationally intensive – Optimizes both dispatch and sizing – Different versions include: Uses only 3-day types Steady-State power flow approximations Emergency day-types HOMER – Smart-search based approach – Dispatch is carried out using simple but robust dispatch rules – Sizing is performed through a smart search algorithm – New versions allow user-defined dispatch rules
- 10. 10 © 2016 Electric Power Research Institute, Inc. All rights reserved. Handling uncertainty Some of the design parameters might be unknown – Greenfield projects with unknown load – Electricity rates to establish – Project ownership This sort of uncertainty can be handled using sensitivity analysis – Scenarios for different values of the uncertain parameters The resulting information should help decision making
- 11. 11 © 2016 Electric Power Research Institute, Inc. All rights reserved. EPRI Feasibility Projects
- 12. 12 © 2016 Electric Power Research Institute, Inc. All rights reserved. Feasibility Assessment Challenges Outage Design Criteria Value of Resiliency/Reliability Cost/Benefit Perspective? Existing vs New Site Data Availability Data Granularity Deterministic vs Stochastic Model Power Flow? Thermal Flow? Study Detail vs Time Spent
- 13. 13 © 2016 Electric Power Research Institute, Inc. All rights reserved. Together…Shaping the Future of Electricity
Editor's Notes
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