A SELF-TUNED FUZZY-SET BASED POWER SYSTEM STABILIZER WITH THE AID OF GENETIC ALGORITHMS AND ARTIFICIAL NEURAL NETWORKS

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SEYFI H.; PEDRAM M.M.

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Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING Year:1999 | Volume:23 | Issue:1 Page(s): 1-10

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Information Journal Paper

Title

A SELF-TUNED FUZZY-SET BASED POWER SYSTEM STABILIZER WITH THE AID OF GENETIC ALGORITHMS AND ARTIFICIAL NEURAL NETWORKS

Author(s)

SEYFI H. | PEDRAM M.M. | Issue Writer Certificate

Keywords

POWER SYSTEM STABILIZER

FUZZY SET

GENETIC ALGORITHM

ARTIFICIAL NEURAL NETWORK

Abstract

A fuzzy-set based POWER SYSTEM STABILIZER is proposed to enhance the stability of a power system. The controller parameters are optimized using GENETIC ALGORITHM (GA). An Artificial Neural Network (ANN) is then trained so that the controller parameters are selftuned based on operating conditions. The performance of the proposed approach has been assessed by simulating it on a single machine infinite busbar system.

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APA: Copy

SEYFI, H., & PEDRAM, M.M.. (1999). A SELF-TUNED FUZZY-SET BASED POWER SYSTEM STABILIZER WITH THE AID OF GENETIC ALGORITHMS AND ARTIFICIAL NEURAL NETWORKS. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, 23(1), 1-10. SID. https://sid.ir/paper/530679/en

Vancouver: Copy

SEYFI H., PEDRAM M.M.. A SELF-TUNED FUZZY-SET BASED POWER SYSTEM STABILIZER WITH THE AID OF GENETIC ALGORITHMS AND ARTIFICIAL NEURAL NETWORKS. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING[Internet]. 1999;23(1):1-10. Available from: https://sid.ir/paper/530679/en

IEEE: Copy

H. SEYFI, and M.M. PEDRAM, “A SELF-TUNED FUZZY-SET BASED POWER SYSTEM STABILIZER WITH THE AID OF GENETIC ALGORITHMS AND ARTIFICIAL NEURAL NETWORKS,” IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, vol. 23, no. 1, pp. 1–10, 1999, [Online]. Available: https://sid.ir/paper/530679/en

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