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<p>Enhancing energy efficiency in a distribution network can be achieved by strategically placing and appropriately sizing energy storage systems (ESSs), which significantly improves the network's overall performance. This paper presents a novel hybrid meta-heuristic optimization algorithm, the Chimp Sine Cosine Algorithm (ChSCA), designed to determine the optimal locations of Distributed Energy Resources (DER) within a distribution system. The algorithm's effectiveness is evaluated using the renowned IEEE-33 bus distribution system. It is tailored to identify optimal locations by minimizing power losses, and reducing voltage deviations at each node. The proposed approach yields significant improvements across the designated objective functions, underscoring the viability of the ChSCA algorithm for addressing the research problem. The real power losses have been reduced to 90.997% and 92.815%, whereas reactive power losses have been reduced by 89.852% and 90.721% with 3 and 4 optimally placed DERs, respectively.</p>

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Optimal Distributed Energy Resources Placement to Reduce Power Losses and Voltage Deviation in a Distribution System

  • 期刊论文

  • 发表日期：

    2025年1月18日

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  • Ramesh Daravath,
  • Sravana Kumar Bali

摘要

Enhancing energy efficiency in a distribution network can be achieved by strategically placing and appropriately sizing energy storage systems (ESSs), which significantly improves the network's overall performance. This paper presents a novel hybrid meta-heuristic optimization algorithm, the Chimp Sine Cosine Algorithm (ChSCA), designed to determine the optimal locations of Distributed Energy Resources (DER) within a distribution system. The algorithm's effectiveness is evaluated using the renowned IEEE-33 bus distribution system. It is tailored to identify optimal locations by minimizing power losses, and reducing voltage deviations at each node. The proposed approach yields significant improvements across the designated objective functions, underscoring the viability of the ChSCA algorithm for addressing the research problem. The real power losses have been reduced to 90.997% and 92.815%, whereas reactive power losses have been reduced by 89.852% and 90.721% with 3 and 4 optimally placed DERs, respectively.