• Title/Summary/Keyword: GA-fuzzy precompensated PID controller

Search Result 2, Processing Time 0.015 seconds

Design of Fuzzy Precompensated PID Controller for Load Frequency Control of Power System using Genetic Algorithm (유전 알고리즘을 이용한 전력계통의 부하주파수 제어를 위한 퍼지 전 보상 PID 제어기 설계)

  • Jeong, Hyeong-Hwan;Wang, Yong-Pil;Lee, Jeong-Pil;Jeong, Mun-Gyu
    • The Transactions of the Korean Institute of Electrical Engineers A
    • /
    • v.49 no.2
    • /
    • pp.62-69
    • /
    • 2000
  • In this paper, we design a GA-fuzzy precompensated PID controller for the load frequency control of two-area interconnected power system. Here, a fuzzy precompensated PID controller is designed as a fuzzy logic-based precompensation approach for PID controller. This scheme is easily implemented simply by adding a fuzzy precompensator to an existing PID controller. And we optimize the fuzzy precompensator with a genetic algorithm for complements the demerit such as the difficulty of the component selection of fuzzy controller, namely, scaling factor, membership function and control rules. Simulation results show that the proposed control technique is superior to a conventional PID control and a fuzzy precompensated PID control in dynamic responses about the load disturbances of power system and is convinced robustness reliableness in view of structure.

  • PDF

A Design of Fuzzy Precompensated PID Controller for Load Frequency Control of Power System using Genetic Algorithm (유전 알고리즘을 이용한 전력계통의 부하주파수 제어를 위한 퍼지 전 보상 PID 제어기 설계)

  • Chung, Mun-Kyu;Wang, Yong-Peel;Lee, Jeong-Phil;Chung, Hyeng-Hwan
    • Proceedings of the KIEE Conference
    • /
    • 1999.11b
    • /
    • pp.153-156
    • /
    • 1999
  • In this paper, we design a GA-fuzzy precompensated PID controller for the load frequency control of two-area interconnected power system. Here, a fuzzy precompensated PID controller is designed as a fuzzy logic-based precompensation approach for PID controller. This scheme is easily implemented simply by adding a fuzzy precompensator to an existing PID controller. And we optimize the fuzzy precompensator with a genetic algorithm for complements the demerit such as the difficulty of the component selection of fuzzy controller, namely, scaling factor membership function and control rules.

  • PDF