Document Type : Research article
Authors
1 Faculty of Engineering, Department of Electrical Engineering, Ayatollah Boroujerdi University, Boroujerd, Iran
2 Department of Electrical Engineering, Faculty of Engineering, Arak University, Arak 38156-8-8349, Iran
3 Research Institute of Renewable Energy, Arak University, Arak 38156-8-8349, Iran
Abstract
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 43% enhancement in damping compared to PSS, a 45% improvement over UPFC alone, and a staggering 48% advantage over the hybrid PSS-UPFC approach.
Highlights
- The research focuses on developing fuzzy controllers for PSS and UPFC
- The effectiveness of the controller is assessed by minimizing speed fluctuations and improving system damping
- Using the shuffled frog leaping algorithm to adjust the proposed gain coefficients in the fuzzy controller in the single-machine power network
- The research aims to improve system stability and reduce oscillations
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