"Enhancing Power System Stability with Fuzzy-PI Cascade Controllers and TCSC: A Comprehensive Study"

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Nimmakanti Anil, G. Balaji

Abstract

This study endeavours to develop cascade controllers employing Fuzzy-PI methodology to enhance power system stability, with a specific focus on generation control. The primary goal is to mitigate system instabilities and improve the reliability and performance of contemporary power grids. The efficacy of the Fuzzy-PI controller is assessed through extensive simulations involving significant fluctuations in wind energy generation, with comparative analysis against traditional PI controllers. Furthermore, the research emphasizes fortifying the stability of modern power systems by deploying optimized controllers, specifically targeting challenges related to frequency and voltage stability through the application of tailored controllers for Thyristor Controlled Series Capacitor (TCSC). The overarching objectives include enhancing both frequency and voltage stability through the utilization of TCSC units. Moreover, the research integrates hybrid optimization techniques, such as Improved meta-heuristic MPR-RSA, to fine-tune controller parameters, ensuring optimal performance across diverse operating conditions. The selection of controller gains relies on the integral absolute time error function, serving as the cost function for problem optimization.

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How to Cite
Nimmakanti Anil, et al. (2023). "Enhancing Power System Stability with Fuzzy-PI Cascade Controllers and TCSC: A Comprehensive Study". International Journal on Recent and Innovation Trends in Computing and Communication, 11(10), 2617–2630. https://doi.org/10.17762/ijritcc.v11i10.10079
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