Learning-coordinate fuzzy logic control of dynamic quadrature boosters in multi-machine power systems

Author

Li, B.H. ; Wu, Q.H. ; Wang, Y. ; Zhou, X.X.

Author_Institution

Electr. Power Res. Inst., Beijing, China

Volume

146

Issue

6

fYear

1999

fDate

11/1/1999 12:00:00 AM

Firstpage

577

Lastpage

584

Abstract

A learning-coordinated fuzzy logic control (LCFLC) strategy is investigated for the control of dynamic quadrature boosters (DQBs) installed distributively in a large-scale power system to enhance the power system stability. In this strategy a reinforcement learning technique is employed to search for optimal parameters of the fuzzy logic controllers according to a given performance index, to control the DQBs in a coordinated fashion. A simulation study is undertaken in a thirteen-machine power system. The simulation results show that the LCFLC can be used as an online control strategy to give coordination of the locally installed DQBs to improve the power system stability

Keywords

fuzzy control; learning systems; phase shifters; power system control; power system stability; FACTS; damping improvement; dynamic quadrature boosters; fuzzy logic controllers; high speed static phase shifter; large-scale power system; learning-coordinate fuzzy logic control; multi-machine power systems; online control strategy; optimal parameters searching; performance index; power system stability enhancement; reinforcement learning technique; thirteen-machine power system;

fLanguage

English

Journal_Title

Generation, Transmission and Distribution, IEE Proceedings-

Publisher

iet

ISSN

1350-2360

Type

jour

DOI

10.1049/ip-gtd:19990426

Filename

820359