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This chapter investigates the effectiveness of Static Synchronous Compensator (STATCOM) integration in enhancing voltage stability within a radial distribution system. Using the Continuation Power Flow (CPF) method and a Genetic Algorithm (GA), this study optimizes the STATCOM placement and sizing for improved voltage stability. The results demonstrate that STATCOM placement significantly enhances the Voltage Stability Index (VSI), improves the voltage profile, and reduces power losses. This chapter highlights several key areas for further exploration. Determining the network’s maximum loading factor, considering power losses and voltage deviations, is crucial for understanding the full potential of STATCOMs in increasing network capacity. Additionally, a multi-objective optimization approach that considers the voltage profile, losses, and loading factor simultaneously is needed for optimal STATCOM placement. Furthermore, the study suggests exploring improved GA algorithms or alternative optimization methods specifically designed for multi-objective problems to enhance the efficiency and robustness of STATCOM placement solutions.

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Voltage Stability Assessment of a Distribution System with Optimal Allocation of STATCOM

  • 会议论文

  • 发表日期：

    2026年

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  • Molla Addisu Mossie,
  • Tefera Terefe Yetayew,
  • Girmaw Teshager Bitew

摘要

This chapter investigates the effectiveness of Static Synchronous Compensator (STATCOM) integration in enhancing voltage stability within a radial distribution system. Using the Continuation Power Flow (CPF) method and a Genetic Algorithm (GA), this study optimizes the STATCOM placement and sizing for improved voltage stability. The results demonstrate that STATCOM placement significantly enhances the Voltage Stability Index (VSI), improves the voltage profile, and reduces power losses. This chapter highlights several key areas for further exploration. Determining the network’s maximum loading factor, considering power losses and voltage deviations, is crucial for understanding the full potential of STATCOMs in increasing network capacity. Additionally, a multi-objective optimization approach that considers the voltage profile, losses, and loading factor simultaneously is needed for optimal STATCOM placement. Furthermore, the study suggests exploring improved GA algorithms or alternative optimization methods specifically designed for multi-objective problems to enhance the efficiency and robustness of STATCOM placement solutions.