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This paper presents an approach for increasing the actual power generation in a multi-source power system by integrating wind and diesel units. By combining wind power with diesel units within a dynamic test system, the challenge of balancing the inherent variability of wind power is met. The most important contribution is the utilization of the artificial electric field algorithm (AEFA) as a system performance optimization tool. The interconnected wind and diesel units create a versatile system, offering reliability and stability. AEFA dynamically modifies the gains of the implemented PID controller. The simulation results demonstrate the efficacy of the method for regulating active power generation.

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An Implementation of Wind and Deisel Units to Multi-Source Power System Enhancing Active Power Generation with Artificial Electric Field Algorithm

  • 会议论文

  • 发表日期：

    2025年

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  • Chandan Kumar Shiva,
  • Basetti Vedik,
  • Sachidananda Sen

摘要

This paper presents an approach for increasing the actual power generation in a multi-source power system by integrating wind and diesel units. By combining wind power with diesel units within a dynamic test system, the challenge of balancing the inherent variability of wind power is met. The most important contribution is the utilization of the artificial electric field algorithm (AEFA) as a system performance optimization tool. The interconnected wind and diesel units create a versatile system, offering reliability and stability. AEFA dynamically modifies the gains of the implemented PID controller. The simulation results demonstrate the efficacy of the method for regulating active power generation.