OICC Press Majlesi Journal of Electrical Engineering 2345-3796 6 3 2024 02 25 Analysis of Performance of SSSC FACTS Device Using PSO Based Optimal Power Flow Solutions EN Smt Padma Department of Electrical Engineering, AU College of Engineering, Andhra University, Visakhapatnam-530003,AP Kanchapogu Vaisakh Department of Electrical Engineering, AU College of Engineering, Andhra University, Visakhapatnam-530003,AP Journal Article 2024 02 25 This paper incorporates the SSSC FACTS device in optimal power flow solutions to enhance the performance of the power systems. The particle swarm optimization is used for solving the optimal power flow problem for steady-state studies. The effectiveness of the proposed approach was tested on IEEE 14-bus and IEEE 30-bus systems with SSSC FACTS device. Results show that the proposed PSO algorithm gives better solution to enhance the system performance with SSSC device compared to without SSSC device. SSSC FACTS裝置性能採用基於PSO最優潮流解決方案分析摘要本文整合了最優潮流的解決方案SSSC FACTS裝置，以提高電力系統的性能。粒子群算法用於解決最優潮流問題穩態研究。該方法的有效性IEEE14節點和SSSC FACTS裝置IEEE-30總線系統上進行測試。結果表明，所提出的PSO算法提供了更好的解決方案，以加強與SSSC設備的系統性能相比沒有SSSC設備。