The paper presents the load frequency control of two-area power system network using PID controller-based genetic algorithm. The structure of power system network consists of solar photovoltaic (SPV), wind turbine (WT), battery energy (BESS), and conventional source (CS) which are connected with common grid and a connected load. SPV, WT, and BESS have variable generation which lot of fluctuations in generated power and frequency. In order to avoid such fluctuations, closed-loop PID controller is applied and tuning of PID controller is assessed with traditionally and genetic algorithm (GA). It is observed that change in frequency and change in power developed are found to be less with GA in comparison with PID controller and traditional method. Similarly, the settling time to achieve the steady state is found to be reduced with GA in comparison to others.

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An Employment of PID Controller-Based Genetic Algorithm for the Load Frequency Control of Two-Area Power System Network

  • Arun Singh Rana,
  • Omveer Singh,
  • C. B. Vishwakarma

摘要

The paper presents the load frequency control of two-area power system network using PID controller-based genetic algorithm. The structure of power system network consists of solar photovoltaic (SPV), wind turbine (WT), battery energy (BESS), and conventional source (CS) which are connected with common grid and a connected load. SPV, WT, and BESS have variable generation which lot of fluctuations in generated power and frequency. In order to avoid such fluctuations, closed-loop PID controller is applied and tuning of PID controller is assessed with traditionally and genetic algorithm (GA). It is observed that change in frequency and change in power developed are found to be less with GA in comparison with PID controller and traditional method. Similarly, the settling time to achieve the steady state is found to be reduced with GA in comparison to others.