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March 3, 2026Open Access

A Multi-Objective Optimization Framework for Optimal Configuration of Battery Energy Storage System in Peak Shaving and Valley Filling Scenarios

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Authors

FSFangfei ShenQLQ. Luo

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Overview

A framework optimizes battery energy storage configuration for load management, improving economic and technical outcomes.

Key Points

  • The study aims to optimize battery energy storage system configuration for peak shaving and valley filling to balance costs and operational effectiveness.
  • Proposed a multi-objective optimization framework.
  • Utilized multi-objective particle swarm optimization algorithm.
  • Applied TOPSIS for selecting optimal configurations.
  • Incorporated practical operational constraints and financial factors.
  • Extended analysis to a WSCC nine-bus system with PV integration.
  • Achieved an optimal BESS configuration of 27.7 MW/78.3 MWh.
  • Reduced load variance by 32.15% and peak demand by 13.5%.
  • Generated an average annual revenue of 5.73 million CNY.
  • Outperformed traditional weighted-sum methods in economic and technical indicators.
  • Demonstrated effective voltage mitigation under high photovoltaic penetration.

Cite This Study

Shen et al. (2026) studied this question.

synapsesocial.com/papers/69a67eebf353c071a6f0a8d2https://doi.org/10.3390/app16052357
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