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This article delves into the optimization challenges associated with the placement, sizing, and operation of Battery Energy Storage Systems (BESSs) within the distribution system, aiming to minimize both power losses and voltage drops. Over a 24-h timeframe, the study employed the Strength Pareto Evolutionary Algorithm 2 (SPEA2) in conjunction with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Methodology was implemented into a adjusted IEEE 33 bus test system to identify optimal parameters and operational strategies for BESSs, subsequently evaluating their efficacy within the system. The results demonstrated that BESSs not only mitigate power losses and enhance voltage profiles but also efficiently support loads during peak hours, effectively addressing the intermittency issue associated with Photovoltaic systems.

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Optimal Location and Sizing of BESS for PV Systems Integrated into Distribution Network

  • 会议论文

  • 发表日期：

    2025年

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  • Anas Aksbi,
  • Ismail Elkafazi,
  • Rachid Bannari,
  • Brahim El Bhiri

摘要

This article delves into the optimization challenges associated with the placement, sizing, and operation of Battery Energy Storage Systems (BESSs) within the distribution system, aiming to minimize both power losses and voltage drops. Over a 24-h timeframe, the study employed the Strength Pareto Evolutionary Algorithm 2 (SPEA2) in conjunction with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Methodology was implemented into a adjusted IEEE 33 bus test system to identify optimal parameters and operational strategies for BESSs, subsequently evaluating their efficacy within the system. The results demonstrated that BESSs not only mitigate power losses and enhance voltage profiles but also efficiently support loads during peak hours, effectively addressing the intermittency issue associated with Photovoltaic systems.