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Decision Support System for Emergencies in Microgrids.
Maria Fotopoulou1, Dimitrios Rakopoulos1, Stefanos Petridis1
1Centre for Research and Technology Hellas, Chemical Process and Energy Resources Institute, 52 Egialias Str., GR-15125 Athens, Greece.
This study introduces an optimal Decision Support System (DSS) to manage microgrid (MG) emergencies, maximizing autonomy and renewable energy use. The system aids operators in blackouts and grid disturbances, supporting the energy transition.
Area of Science:
- Electrical Engineering
- Energy Systems
- Optimization
Background:
- Microgrid (MG) operations face challenges from extreme weather and technical faults.
- Emergency management in MGs involves component exclusion, islanded mode, or black start procedures.
- Existing solutions may not comprehensively address all emergency scenarios.
Purpose of the Study:
- To present an optimal Decision Support System (DSS) for microgrid emergency management.
- To maximize MG autonomy and prioritize renewable energy production during emergencies.
- To provide an inclusive solution for various emergency situations.
Main Methods:
- Development of an optimization model using Pyomo.
- Integration of diverse Distributed Energy Resources (DERs): Renewable Energy Sources (RES), Battery Energy Storage Systems (BESS), and fuel-based generators.
- Simulation of grid-forming and grid-following modes under multiple emergency scenarios.
- Verification using PowerFactory DIgSILENT.
Main Results:
- The DSS effectively assists MG operators in managing various emergencies.
- The system prioritizes renewable energy, enhancing MG autonomy.
- Demonstrated capability to handle complex scenarios including black starts and islanded operations.
Conclusions:
- The proposed DSS offers a comprehensive and optimal solution for microgrid emergency management.
- The system aligns with energy transition goals by maximizing renewable energy utilization.
- The DSS is a valuable tool for enhancing microgrid resilience and operational efficiency.
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