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<p>The need for power is increasing in response of the growing population. To reduce real and reactive power losses, three devices were combined in this study. Distributed generation (DGs) and static var compensator (SVC) with a static synchronous compensator (STATCOM) play an important role in reducing the real and reactive power losses and enhancing the voltage profile. The research described here uses a genetic algorithm (GA) with particle swarm optimization (PSO) to integrate DGs, SVC, and STATCOM planning to enhance the system power performance and voltage profile (VP) in distribution networks. On a 37-bus distribution network, the proposed methodology is applied. This research assists those working on the system performance of viable and upcoming electrical grids, as well as those working in the disciplines of DG, SVC, and STATCOM integration for improved system performance.</p>

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A hybrid optimization for integration of distributed generations and static var compensators with static synchronous compensators

  • 期刊论文

  • 发表日期：

    2026年4月9日

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  • Vipul Shukla,
  • B. Singh,
  • Vimlesh,
  • Deependra Kumar Mishra

摘要

The need for power is increasing in response of the growing population. To reduce real and reactive power losses, three devices were combined in this study. Distributed generation (DGs) and static var compensator (SVC) with a static synchronous compensator (STATCOM) play an important role in reducing the real and reactive power losses and enhancing the voltage profile. The research described here uses a genetic algorithm (GA) with particle swarm optimization (PSO) to integrate DGs, SVC, and STATCOM planning to enhance the system power performance and voltage profile (VP) in distribution networks. On a 37-bus distribution network, the proposed methodology is applied. This research assists those working on the system performance of viable and upcoming electrical grids, as well as those working in the disciplines of DG, SVC, and STATCOM integration for improved system performance.