• 제목/요약/키워드: GA-Fuzzy Precompensator

검색결과 6건 처리시간 0.02초

전력계통 안정도 향상을 위한 TCSC 안정화 장치의 GA-퍼지 전 보상기 설계 (Design of GA-Fuzzy Precompensator of TCSC-PSS for Enhancement of Power System Stability)

  • 왕용필;정문규;정형환
    • 대한전기학회논문지:전력기술부문A
    • /
    • 제54권2호
    • /
    • pp.51-60
    • /
    • 2005
  • In this paper, we design the GA-fuzzy precompensator of a Power System Stabilizer for Thyristor Controlled Series Capacitor(TCSC-PSS) for enhancement of power system stability. Here a fuzzy precompensator is designed as a fuzzy logic-based precompensation approach for TCSC-PSS. This scheme is easily implemented by adding a fuzzy precompensator to an existing TCSC-PSS. 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. Nonlinear simulation results show that the proposed control technique is superior to conventional TCSC-PSS in dynamic responses over the wide range of operating conditions and in convinced robust and reliable in view of structure.

전력시스템의 안정도 향상을 위한 GA-퍼지 전 보상기 설계 (Design of GA-Fuzzy Precompensator for Enhancement of Pourer System Stability)

  • 정형환;정문규;이정필
    • 대한전기학회논문지:전력기술부문A
    • /
    • 제51권2호
    • /
    • pp.83-92
    • /
    • 2002
  • In this paper, we design a GA-fuzzy precompensator for enhancement of power system stability. Here, a fuzzy prerompensator is designed as a fuzzy logic-based precompensation approach for Power System Stabilizer(PSS). This scheme is easily implemented simply by adding a fuzzy precompensator to an existing PSS. 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 PSS in dynamic responses over the wide range of operating conditions and is convinced robustness and reliableness in view of structure.

전력시스템의 안정도 향상을 위한 GA-퍼지 전 보상기 설계 (Design of GA-Fuzzy Precompensator for Enhancement of Power System Stability)

  • 정문규;김상효;정형환;이동철
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2001년도 하계학술대회 논문집 A
    • /
    • pp.137-139
    • /
    • 2001
  • In this paper, we design a GA-fuzzy precompensator for enhancement of power system stability. Here, a fuzzy precompensator is designed as a fuzzy logic-based precompensation approach for Power System Stabilizer(PSS). This scheme is easily implemented simply by adding a fuzzy precompensator to an existing PSS. 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, name1y, scaling factor, membership function and control rules. Simulation results show that the proposed control technique is superior to a conventional PSS in dynamic responses over the wide range of operating conditions and is convinced robustness and reliableness in view of structure.

  • PDF

전력계통 안정도 향상을 위한 TCSC 안정화 장치의 GA-퍼지 전 보상기 설계 (Design of GA-Fuzzy Precompensator of TCSC-PSS for Enhancement of Power System Stability)

  • 정문규;왕용필;정형환;이창우;이정필;허동렬
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2004년도 하계학술대회 논문집 A
    • /
    • pp.292-294
    • /
    • 2004
  • In this paper, we design the GA-fuzzy precompensator of a Power System Stabilizer for Thyristor Controlled Series Capacitor(TCSC-PSS) for enhancement of power system stability. Here a fuzzy precompensator is designed as a fuzzy logic-based precompensation approach for TCSC-PSS. This scheme is easily implemented simply by adding a fuzzy precompensator to an existing TCSC-PSS. 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 Auction and control rules. Simulation results show that the proposed control technique is superior to a conventional PSS in dynamic responses over the wide range of operating conditions and is convinced robustness and reliableness in view of structure.

  • PDF

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

  • 정형환;왕용필;이정필;정문규
    • 대한전기학회논문지:전력기술부문A
    • /
    • 제49권2호
    • /
    • 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

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

  • 정문규;왕용필;이정필;정형환
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 1999년도 추계학술대회 논문집 학회본부 A
    • /
    • 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