Optimization of PSS and UPFC Controllers to Enhance Stability by Using a Combination of Fuzzy Algorithm and Shuffled Frog Leaping Algorithm

Maintaining power system stability can be challenging due to low-frequency fluctuations. Traditionally, power system stabilizers (PSS) and unified power flow controllers (UPFC) have been used to address this issue. This paper proposes a novel approach that leverages both PSS and UPFC simultaneously, controlled by an optimized fuzzy logic system. The proposed fuzzy controller aims to enhance the efficiency of both PSS and UPFC, ultimately boosting system damping. The controller takes two key inputs: changes in angular speed and power angle. To dynamically adjust its response to changing system conditions, a shuffled frog leaping algorithm optimizes the fuzzy controller's gains. To assess the effectiveness of the controller, simulations are conducted across three different loading levels for the studied system. The results are presented for each stage and demonstrate a significant reduction in overshoot and improved overall system damping. Our method achieves a remarkable ۴۳% enhancement in damping compared to PSS, a ۴۵% improvement over UPFC alone, and a staggering ۴۸% advantage over the hybrid PSS-UPFC approach.

کلیدواژه ها:

Metaheuristic ، Optimization ، stabilizer ، Damping