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In the contemporary landscape, there's a concerted drive towards optimizing operating costs by mitigating line losses stemming from various overloading conditions within electrical power system networks. The strategic allocation of capacitors assumes paramount importance in this endeavor. Capacitor allocation not only aids in curbing line losses but also plays a pivotal role in stabilizing bus voltage levels, thereby bolstering the overall stability and reliability of the system while concurrently reducing operational costs. This research introduces a novel approach utilizing Particle Swarm Optimization (PSO) to ascertain the optimal sizing and placement of capacitors within a typical power system. Multiple bus configurations undergo testing against a predefined cost function, wherein the primary objectives revolve around minimizing power loss and stabilizing voltage levels. The efficacy of the proposed algorithm is validated through its application to standard power systems, notably the IEEE-30 bus test systems. Comparative analyses are conducted against various configurations of the trial-and-error method to gauge the algorithm's performance. The outcomes affirm the superiority of the proposed algorithm in terms of reducing operating costs and enhancing voltage profile stability. This underscores the pivotal role of judicious capacitor allocation in augmenting the operational efficiency and performance of electrical power system networks.

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Optimal Placement of Capacitor Banks in Distributed Network for Improved Voltage Profile and Reduced Power Losses Using Particle Swarm Optimization

  • 会议论文

  • 发表日期：

    2025年

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  • Subojit Dhar,
  • Biswas Oindrila,
  • Ghosh Anweshdeep,
  • Abhinandan De

摘要

In the contemporary landscape, there's a concerted drive towards optimizing operating costs by mitigating line losses stemming from various overloading conditions within electrical power system networks. The strategic allocation of capacitors assumes paramount importance in this endeavor. Capacitor allocation not only aids in curbing line losses but also plays a pivotal role in stabilizing bus voltage levels, thereby bolstering the overall stability and reliability of the system while concurrently reducing operational costs. This research introduces a novel approach utilizing Particle Swarm Optimization (PSO) to ascertain the optimal sizing and placement of capacitors within a typical power system. Multiple bus configurations undergo testing against a predefined cost function, wherein the primary objectives revolve around minimizing power loss and stabilizing voltage levels. The efficacy of the proposed algorithm is validated through its application to standard power systems, notably the IEEE-30 bus test systems. Comparative analyses are conducted against various configurations of the trial-and-error method to gauge the algorithm's performance. The outcomes affirm the superiority of the proposed algorithm in terms of reducing operating costs and enhancing voltage profile stability. This underscores the pivotal role of judicious capacitor allocation in augmenting the operational efficiency and performance of electrical power system networks.