[논문]Design of Optimal Fuzzy Logic based PI Controller using Multiple Tabu Search Algorithm for Load Frequency Control

Pothiya Saravuth; Ngamroo Issarachai; Runggeratigul Suwan; Tantaswadi Prinya

Design of Optimal Fuzzy Logic based PI Controller using Multiple Tabu Search Algorithm for Load Frequency Control 원문보기

International Journal of Control, Automation and Systems, v.4 no.2, 2006년, pp.155 - 164

Pothiya Saravuth (School of Communication, Instrumentation & Control, Sirindhorn International Institute of Technology, Thammasat University) , Ngamroo Issarachai (School of Communication, Instrumentation & Control, Sirindhorn International Institute of Technology, Thammasat University) , Runggeratigul Suwan (School of Communication, Instrumentation & Control, Sirindhorn International Institute of Technology, Thammasat University) , Tantaswadi Prinya (School of Information and Communication Technology, Shinnawatra University)

Abstract ▼ AI-Helper

This paper focuses on a new optimization technique of a fuzzy logic based proportional integral (FLPI) load frequency controller by the multiple tabu search (MTS) algorithm. Conventionally, the membership functions and control rules of fuzzy logic control are obtained by trial and error method or experiences of designers. To overcome this problem, the MTS algorithm is proposed to simultaneously tune proportional integral gains, the membership functions and control rules of a FLPI load frequency controller in order to minimize the frequency deviations of the interconnected power system against load disturbances. The MTS algorithm introduces additional techniques for improvement of the search process such as initialization, adaptive search, multiple searches, crossover and restart process. Simulation results explicitly show that the performance of the proposed FLPI controller is superior to conventional PI and FLPI controllers in terms of overshoot and settling time. Furthermore, the robustness of the proposed FLPI controller under variation of system parameters and load change are higher than that of conventional PI and FLPI controllers.

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In this paper, a new approach, called the MTS algorithm has been used for developing an optimal FLPI controller for the LFC of a two-area interconnected power system. The proposed technique fbr designing a FLPI controller helps us save time when compared to those from conventional trial and error design procedures.
Simulations were performed using the conventional PI, Non-optimal FLPI and the proposed optimal FLPI controllers applied to a two-area interconnected power system as shown in Fig. 1 by applying 0.01 p.u MW step load disturbance to both areas. The same system parameters [12, 13], given in the Appendix, were used in all controllers fbr a comparison.
The contribution of this paper is to propose a new approach based on the TS algorithm for optimal design of a fuzzy logic based proportional integral (FLPI) load-frequency controller in a two-area interconnected power system. This proposed approach, called the multiple tabu search (MTS) algorithm, is _니sed to obtain optimal or nearly optimal solutions very quickly, moreover, the efficiency of the proposed algorithm will be demonstrated in this paper.
The PI gains have been determined easily, but the membership functions and the control rules are difficult. Thus, to simplify solving this problem, this paper presents a new approach to determine the PI gains, membership functions and control rules based on the TS algorithm.

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