• 제목/요약/키워드: PSS and SVC design

검색결과 6건 처리시간 0.025초

PSSs and SVC Damping Controllers Design to Mitigate Low Frequency Oscillations Problem in a Multi-machine Power System

  • Darabian, Mohsen;Jalilvand, Abolfazl
    • Journal of Electrical Engineering and Technology
    • /
    • 제9권6호
    • /
    • pp.1873-1881
    • /
    • 2014
  • This paper deals with the design of multi-machine power system stabilizers (PSSs) and Static var compensator (SVC) using Modified shuffled frog leaping algorithm (MSFLA). The effectiveness of the proposed scheme for optimal setting of the PSSs and SVC controllers has been attended. The PSSs and SVC controllers designing is converted to an optimization problem in which the speed deviations between generators are involved. In order to compare the capability of PSS and SVC, they are designed independently once, and in a coordinated mode once again. The proposed method is applied on a multi-machine power system under different operating conditions and disturbances to confirm the effectiveness of it. The results of tuned PSS controller based on MSFLA (MSFLAPSS) and tuned SVC controller based on MSFLA (MSFLA SVC) are compared with the Strength pareto evolutionary algorithm (SPEA) and Particle swarm optimization (PSO) based optimized PSS and SVC through some performance to reveal its strong performance.

LQG/LTR에 의한 동기발전기와 SVC의 제어기 설계 (Design of the Synchronous generator and SVC controller Using LQG/LTR)

  • 이동희;이병하
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2000년도 하계학술대회 논문집 A
    • /
    • pp.227-229
    • /
    • 2000
  • This paper presents a LQG/LTR method for controlling the PSS and SVC effectively. A one-machine Infinite-bus power system is used as an analysis system, where PSS is installed at the synchronous generator and SVC at the generator bus as a parallel compensation device. The simulation results show that the LQG/LTR controller of PSS and SYC improves the power system stability effectively.

  • PDF

실 변수 엘피트주의 유전알고리즘을 이용한 SVC 계통의 안정화 장치의 설계 (A Design of Power System Stabilization for SVC System Using a RVEGA)

  • 정형환;허동렬;이정필;왕용필
    • 대한전기학회논문지:전력기술부문A
    • /
    • 제50권7호
    • /
    • pp.324-332
    • /
    • 2001
  • In this paper, it is suggested that the selection method of parameter of Power System Stabilizer(PSS) with robustness in low frequency oscillation for Static VAR Compensator(SVC) using a Real Variable Elitism Genetic Algorithm(RVEGA). A SVC, one of the Flexible AC Transmission System(FACTS), constructed by a fixed capacitor(FC) and a thyristor controlled reactor(TCR), is designed and implemented to improve the damping of a synchronous generator, as well as controlling the system voltage. The proposed PSS parameters are optimized using RVEGA in order to maintain optimal operation of generator under the various operating conditions. To decrease the computational time, real variable string is adopted. To verify the robustness of the proposed method, we considered the dynamic response of generator speed deviation and generator terminal voltage by applying a power fluctuation and three-phase fault at heavy load, normal load and light load. Thus, we prove the usefulness of proposed method to improve the stability of single machine-infinite bus with SVC system.

  • PDF

자기조정 퍼지제어기를 이용한 SVC계통의 안정화 장치의 설계 (A Design of Power System Stabilization for SVC System Using Self Tuning Fuzzy Controller)

  • 주석민;허동렬;김해재
    • 전기학회논문지P
    • /
    • 제51권2호
    • /
    • pp.60-67
    • /
    • 2002
  • This paper presents a control approach for designing a self tuning fuzzy controller for a synchronous generator excitation and SVC system. A combination of thyristor-controlled reactors and fixed capacitors (TCR-FC) type SVC is recognized as having the most flexible control and high speed response, which has been widely utilized in power systems, is considered and designed to improve the response of a synchronous generator, as well as controlling the system voltage. The proposed parameter self tuning algorithm of fuzzy controller is based on the steepest decent method using two direction vectors which make error between inference values of fuzzy controller and output values of the specially selected PSS reduce steepestly. Using input-output data pair obtained from PSS, the parameters in antecedent part and in consequent part of fuzzy inference rules are learned and tuned automatically using the proposed steepest decent method. The related simulation results show that the proposed fuzzy controller is more powerful than the conventional ones.

SVC계통의 안정도 향상을 위한 파라미터 자기조정 퍼지제어기의 설계 (A Design of Parameter Self Tuning Fuzzy Controller to Improve Power System Stabilization with SVC System)

  • 주석민
    • 조명전기설비학회논문지
    • /
    • 제23권2호
    • /
    • pp.175-181
    • /
    • 2009
  • 본 논문에서는 전력계통의 안정도를 향상시키기 위하여 동기 발전기와 정지형 무효전력 보상기에 대한 파라미터 자기조정 퍼지제어기의 설계 기법을 제시한다. 제안된 퍼지제어기의 파라미터 자기조정 알고리즘은 퍼지제어기의 추론값과 전력계통안정화 장치의 출력값들 사이의 오차를 감소시키는 두 개의 방향 벡터를 사용하는 최급강하법에 기초를 둔다. 전력계통안정화 장치로부터 얻어진 입 출력 데이터쌍을 사용하여, 퍼지추론 규칙의 전건부와 후건부에서의 파라미터들은 제안된 최급강하법에 의해 자동조정되고 학습되어진다. 시뮬레이션 결과, 제안된 퍼지제어기가 종래의 제어기보다 우수한 제어성능을 보임을 확인하였다.

SVC를 포함한 전력시스템의 안정도 향상을 위한 최적 퍼지-PI 제어기의 설계 (A Design of Optimal Fuzzy-PI Controller to Improve System Stability of Power System with Static VAR Compensator)

  • 김해재;주석민
    • 전기학회논문지P
    • /
    • 제53권3호
    • /
    • pp.122-128
    • /
    • 2004
  • This paper presents a control approach for designing a fuzzy-PI controller for a synchronous generator excitation and SVC system. A combination of thyristor-controlled reactors and fixed capacitors(TCR-FC) type SVC is recognized as having the most flexible control and high speed response, which has been widely utilized in power systems, is considered and designed to improve the response of a synchronous generator, as well as controlling the system voltage. A Fuzzy-PI controller for SVC system was proposed in this paper. The PI gain parameters of the proposed Fuzzy-PI controller which is a special type of PI ones are self-tuned by fuzzy inference technique. It is natural that the fuzzy inference technique should be based on humans intuitions and empirical knowledge. Nonetheless, the conventional ones were not so. Therefore, In this paper, the fuzzy inference technique of PI gains using MMGM(Min Max Gravity Method) which is very similar to humans inference procedures, was presented and applied to the SVC system. The system dynamic responses are examined after applying all small disturbance condition.