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Content Provider | IEEE Xplore Digital Library |
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Author | Mohagheghi, S. Venayagamoorthy, G.K. Harley, R.G. |
Copyright Year | 1993 |
Abstract | A near-optimal neurofuzzy external controller is designed in this paper for a static compensator (STATCOM) in a multimachine power system. The controller provides an auxiliary reference signal for the STATCOM in such a way that it improves the damping of the rotor speed deviations of its neighboring generators. A zero-order Takagi-Sugeno fuzzy rule base constitutes the core of the controller. A heuristic dynamic programming (HDP) based approach is used to further train the controller and enable it to provide nonlinear near-optimal control at different operating conditions of the power system. Based on the connectionist systems theory, the parameters of the neurofuzzy controller, including the membership functions, undergo training. Simulation results are provided that compare the performance of the neurofuzzy controller with and without updating the fuzzy set parameters. Simulation results indicate that updating the membership functions can noticeably improve the performance of the controller and reduce the size of the STATCOM, which leads to lower capital investment. |
Sponsorship | IEEE Computational Intelligence Society |
Starting Page | 1450 |
Ending Page | 1461 |
Page Count | 12 |
File Size | 356366 |
File Format | |
ISSN | 10636706 |
Volume Number | 16 |
Issue Number | 6 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-12-01 |
Publisher Place | U.S.A. |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Optimal control Programmable control Adaptive control Control systems Automatic voltage control Power system simulation Power system dynamics Power systems Fuzzy control Nonlinear control systems optimal control Adaptive critic designs connectionist systems theory evolving fuzzy systems neurofuzzy systems Neuro-fuzzy systems adaptive critic designs |
Content Type | Text |
Resource Type | Article |
Subject | Control and Systems Engineering Computational Theory and Mathematics Applied Mathematics Artificial Intelligence |
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