Energy Community Resilience: A Multi-Objective Approach with Shared Battery Storage Systems

Bahman Ahmadi*, Gerwin Hoogsteen, Marco E.T. Gerards, Johann L. Hurink

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

The introduction of shared battery storage in the energy community (EC) grid provides a unique solution to grid congestion issues. This paper presents an energy management strategy for ECs, leveraging shared communal battery storage (CBS) integrated with community resources to optimize energy distribution. The proposed hierarchical optimization framework is used to minimize costs and CO2 emissions while maximizing self-consumption, using CBS as a modular Virtual Battery Storage (VBS) adapted to community needs. Each VBS module within the CBS is used to optimize different objective functions in the energy management framework. This study demonstrates how the VBS concept can be incorporated into community energy systems for sustainable management and grid stability. The proposed approach is tested on the Aardehuizen community model based on a real EC located in Olst, the Netherlands.

Original languageEnglish
Title of host publication2024 IEEE 8th Conference on Energy Internet and Energy System Integration, EI2 2024
PublisherIEEE
Pages384-389
Number of pages6
ISBN (Electronic)9798331523527
DOIs
Publication statusPublished - 15 May 2025
Event8th IEEE Conference on Energy Internet and Energy System Integration, EI2 2024 - Shenyang, China
Duration: 29 Nov 20242 Dec 2024
Conference number: 8

Conference

Conference8th IEEE Conference on Energy Internet and Energy System Integration, EI2 2024
Abbreviated titleEI2 2024
Country/TerritoryChina
CityShenyang
Period29/11/242/12/24

Keywords

  • 2025 OA procedure
  • Multi-Objective Optimization
  • Residential Energy Management
  • Smart Grids
  • Virtual Battery Storage
  • Grid Stability

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