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Enhancing Multi-Machine Power System Stability with STATCOM-SMES: A Soft Computing Approach
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DOI：10.1016/j.compeleceng.2024.109878.png)
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The increasing complexity and increasing mismatch between supply and demand within modern power systems necessitate advanced methods for ensuring system stability and reliable operation. This article investigates the enhancement of transient stability in a multi-machine power system through the integration of Flexible AC Transmission Systems (FACTS) devices, specifically a Static Synchronous Compensator (STATCOM) combined with energy storage. Leveraging soft computing techniques such as Fuzzy Logic Controllers (FLC) and Artificial Neural Networks (ANN), this study evaluates the performance improvements in transient stability. The methodology involves modeling a multi-machine power system, implementing STATCOM-SMES configurations, and designing FLC and ANN controllers to dynamically support system stability. Simulations are conducted using MATLAB/Simulink, applying a three-phase to ground fault to assess the system's transient response. Performance metrics such as peak overshoot, settling time, and damping ratio are analyzed to compare the effectiveness of the proposed techniques. The results demonstrate significant improvements in transient stability with the application of FLC and ANN controlled STATCOM-SMES systems. This study underscores the potential of integrating soft computing techniques with FACTS devices to enhance the dynamic performance and resilience of power systems, contributing valuable insights for future research and practical applications in power system stability.
Keyword:
Transient Stability
STATCOM
Superconducting Magnetic Energy Storage (SMES)
Soft Computing
Fuzzy Controller
Artificial Neural Network
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4.9
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6.7K
被引数:
1.3W
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