Integrated Multi-Timescale Battery Dispatch and Overload Mitigation: An Agent-Based Optimization Framework for High EV Penetration in Danish Distribution Networks

The rapid integration of renewable energy and electric vehicles is challenging modern distribution networks with increased demand volatility and overload risks. To address these issues, we propose an integrated, multi-timescale battery dispatch framework that unifies long-term capacity planning, day...

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Vydané v:Electronics (Basel) Ročník 14; číslo 8; s. 1612
Hlavní autori: Cong, Lu, Jørgensen, Bo Nørregaard, Ma, Zheng Grace
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 16.04.2025
Predmet:
Alternative energy sources
Analysis
Automobiles, Electric
Batteries
Case studies
Costs
Decision making
Efficiency
Electric vehicles
Energy consumption
Energy storage
Feasibility
Long term planning
Optimization
Overloading
Real time
Renewable resources
Scheduling
Simulation
Denmark
ISSN:2079-9292, 2079-9292
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Abstract The rapid integration of renewable energy and electric vehicles is challenging modern distribution networks with increased demand volatility and overload risks. To address these issues, we propose an integrated, multi-timescale battery dispatch framework that unifies long-term capacity planning, day-ahead/intra-day scheduling, and sub-minute real-time control. The framework combines HOMER Pro-based capacity sizing, a MISOCP model for economic scheduling, and an agent-based simulation for immediate overload mitigation. In a case study of a Danish distribution network projected to reach full EV penetration by 2034, our approach reduced moderate-to-severe overload incidents by 82.7%. Furthermore, a price-sensitive variant achieved a 27.4% reduction in operational costs, with only a 12.5% increase in minor overload events. These quantitative improvements, alongside qualitative enhancements in grid stability and battery longevity, provide actionable insights for distribution system operators.
AbstractList The rapid integration of renewable energy and electric vehicles is challenging modern distribution networks with increased demand volatility and overload risks. To address these issues, we propose an integrated, multi-timescale battery dispatch framework that unifies long-term capacity planning, day-ahead/intra-day scheduling, and sub-minute real-time control. The framework combines HOMER Pro-based capacity sizing, a MISOCP model for economic scheduling, and an agent-based simulation for immediate overload mitigation. In a case study of a Danish distribution network projected to reach full EV penetration by 2034, our approach reduced moderate-to-severe overload incidents by 82.7%. Furthermore, a price-sensitive variant achieved a 27.4% reduction in operational costs, with only a 12.5% increase in minor overload events. These quantitative improvements, alongside qualitative enhancements in grid stability and battery longevity, provide actionable insights for distribution system operators.
Audience Academic
Author Cong, Lu
Jørgensen, Bo Nørregaard
Ma, Zheng Grace
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SubjectTerms Alternative energy sources
Analysis
Automobiles, Electric
Batteries
Case studies
Costs
Decision making
Efficiency
Electric vehicles
Energy consumption
Energy storage
Feasibility
Long term planning
Optimization
Overloading
Real time
Renewable resources
Scheduling
Simulation
Title Integrated Multi-Timescale Battery Dispatch and Overload Mitigation: An Agent-Based Optimization Framework for High EV Penetration in Danish Distribution Networks
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