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The foremost aim of the paper is the stability analysis of an interlinked power grid including traditional and renewable energy sources (thermal, gas, PV). Energy storage units (ESU) are also utilized in this proposed system to manage the uncertainty in renewable energy sources. A secondary controller was suggested to steady the frequency deference in the power system. Ant colony optimization (ACO)-based Proportional integral derivative (PID) controller is promoted as a secondary controller for this study. The performance of the projected controller is compared with Genetic algorithm (GA) and Particle swarm optimization (PSO) methods. The result comparison states the ACO method-based PID controller stabilizes the frequency oscillation in the system faster than GA and PSO. Integral time absolute time (ITAE) fitness function utilized in this study while tuning the controller gain parameters.

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Frequency Stability Analysis in Interconnected Power Grid Using ACO Technique Optimized PID Controller

  • 会议论文

  • 发表日期：

    2025年

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  • D. Boopathi,
  • K. Jagatheesan,
  • Sourav Samanta,
  • B. Anand,
  • Kanendra Naidu,
  • J. Jaya

摘要

The foremost aim of the paper is the stability analysis of an interlinked power grid including traditional and renewable energy sources (thermal, gas, PV). Energy storage units (ESU) are also utilized in this proposed system to manage the uncertainty in renewable energy sources. A secondary controller was suggested to steady the frequency deference in the power system. Ant colony optimization (ACO)-based Proportional integral derivative (PID) controller is promoted as a secondary controller for this study. The performance of the projected controller is compared with Genetic algorithm (GA) and Particle swarm optimization (PSO) methods. The result comparison states the ACO method-based PID controller stabilizes the frequency oscillation in the system faster than GA and PSO. Integral time absolute time (ITAE) fitness function utilized in this study while tuning the controller gain parameters.