Load frequency control of power systems with Sugeno fuzzy gain scheduling PID controller

This paper proposes a new Fuzzy Gain Scheduled Proportional, Integral and Derivative (FGPID) controller by using Takagi-Sugeno (TS) fuzzy system to the load frequency control problem in multi-area power systems. The TS fuzzy inference engine is chosen and the range of the controller is selected suit...

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Main Authors: Hassan, L.H., Mohamed, H.A.F., Moghavvemi, M., Yang, S.S.
Format: Conference or Workshop Item
Published: 2009
Subjects:
Online Access:http://eprints.um.edu.my/9747/
id um-9747
recordtype eprints
spelling um-97472017-11-23T02:24:17Z Load frequency control of power systems with Sugeno fuzzy gain scheduling PID controller Hassan, L.H. Mohamed, H.A.F. Moghavvemi, M. Yang, S.S. TA Engineering (General). Civil engineering (General) This paper proposes a new Fuzzy Gain Scheduled Proportional, Integral and Derivative (FGPID) controller by using Takagi-Sugeno (TS) fuzzy system to the load frequency control problem in multi-area power systems. The TS fuzzy inference engine is chosen and the range of the controller is selected suitably to enhance the output performance of the system. Simulation results demonstrate the ability of the proposed control model in damping the frequency oscillations and tie line power deviations due to area load changes. The approach is compared against two controllers in the literature; Fuzzy Gain Scheduling Integral and Derivative (FGID) controller, and Fuzzy Gain Scheduling Proportional and Integral (FGPI) controller. Settling times, overshoots, undershoots and Integral Square Error (ISE) of frequency deviation are used as comparison criteria. Nonlinear simulation results show that the proposed controller provides better performance than the other two models. 2009-08 Conference or Workshop Item PeerReviewed Hassan, L.H.; Mohamed, H.A.F.; Moghavvemi, M.; Yang, S.S. (2009) Load frequency control of power systems with Sugeno fuzzy gain scheduling PID controller. In: ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009, 18-21 August 2009, Fukuoka, Japan. http://eprints.um.edu.my/9747/
repository_type Digital Repository
institution_category Local University
institution University Malaya
building UM Research Repository
collection Online Access
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Hassan, L.H.
Mohamed, H.A.F.
Moghavvemi, M.
Yang, S.S.
Load frequency control of power systems with Sugeno fuzzy gain scheduling PID controller
description This paper proposes a new Fuzzy Gain Scheduled Proportional, Integral and Derivative (FGPID) controller by using Takagi-Sugeno (TS) fuzzy system to the load frequency control problem in multi-area power systems. The TS fuzzy inference engine is chosen and the range of the controller is selected suitably to enhance the output performance of the system. Simulation results demonstrate the ability of the proposed control model in damping the frequency oscillations and tie line power deviations due to area load changes. The approach is compared against two controllers in the literature; Fuzzy Gain Scheduling Integral and Derivative (FGID) controller, and Fuzzy Gain Scheduling Proportional and Integral (FGPI) controller. Settling times, overshoots, undershoots and Integral Square Error (ISE) of frequency deviation are used as comparison criteria. Nonlinear simulation results show that the proposed controller provides better performance than the other two models.
format Conference or Workshop Item
author Hassan, L.H.
Mohamed, H.A.F.
Moghavvemi, M.
Yang, S.S.
author_facet Hassan, L.H.
Mohamed, H.A.F.
Moghavvemi, M.
Yang, S.S.
author_sort Hassan, L.H.
title Load frequency control of power systems with Sugeno fuzzy gain scheduling PID controller
title_short Load frequency control of power systems with Sugeno fuzzy gain scheduling PID controller
title_full Load frequency control of power systems with Sugeno fuzzy gain scheduling PID controller
title_fullStr Load frequency control of power systems with Sugeno fuzzy gain scheduling PID controller
title_full_unstemmed Load frequency control of power systems with Sugeno fuzzy gain scheduling PID controller
title_sort load frequency control of power systems with sugeno fuzzy gain scheduling pid controller
publishDate 2009
url http://eprints.um.edu.my/9747/
first_indexed 2018-09-06T05:45:25Z
last_indexed 2018-09-06T05:45:25Z
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