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In the context of multi-area power systems integrating wind energy sources, the intricacies of LFC are significantly amplified, primarily due to the inherent variability associated with wind generation. This study delves into the dynamic impact of manipulating pitch angles in wind turbines, exploring their potential to revolutionize LFC in such complex systems. The core objective of this research is the in-depth analysis of how variations in pitch angles affect the frequency response within a 2-area 4-unit power system. An innovative approach is introduced, where a fractional-order controller is synergistically combined with a firefly optimization technique. This novel strategy is specifically designed to bolster the control mechanisms that manage fluctuations in multi-area systems, particularly when wind power is a pivotal component. The practical application of these advanced control strategies is meticulously examined using the MATLAB/SIMULINK tool, providing a robust platform for comprehensive analysis and simulation of the proposed control techniques. The outcomes of this research carry valuable implications for enhancing the stability and efficiency of LFC in multi-area systems, notably when wind energy plays a substantial role.

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Performance Analysis of Wind-Integrated Multi-area Power Systems Through Pitch Angle Variations

  • 会议论文

  • 发表日期：

    2025年

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  • Prince Kumar,
  • Kunal Kumar,
  • Aashish Kumar Bohre,
  • Nabanita Adhikary

摘要

In the context of multi-area power systems integrating wind energy sources, the intricacies of LFC are significantly amplified, primarily due to the inherent variability associated with wind generation. This study delves into the dynamic impact of manipulating pitch angles in wind turbines, exploring their potential to revolutionize LFC in such complex systems. The core objective of this research is the in-depth analysis of how variations in pitch angles affect the frequency response within a 2-area 4-unit power system. An innovative approach is introduced, where a fractional-order controller is synergistically combined with a firefly optimization technique. This novel strategy is specifically designed to bolster the control mechanisms that manage fluctuations in multi-area systems, particularly when wind power is a pivotal component. The practical application of these advanced control strategies is meticulously examined using the MATLAB/SIMULINK tool, providing a robust platform for comprehensive analysis and simulation of the proposed control techniques. The outcomes of this research carry valuable implications for enhancing the stability and efficiency of LFC in multi-area systems, notably when wind energy plays a substantial role.