Automatic Generation Control of Multi-area Interconnected Power Systems Using ANN Controller | Zendy

Khaled Alzaareer | Zendy; Ali Q. Al-Shetwi | Zendy; Claude Zeyad El-bayeh | Zendy; Mohammad Bany Taha | Zendy

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Automatic Generation Control of Multi-area Interconnected Power Systems Using ANN Controller

Author(s) -

Khaled Alzaareer,

Ali Q. Al-Shetwi,

Claude Zeyad El-bayeh,

Mohammad Bany Taha

Publication year - 2020

Publication title -

revue d intelligence artificielle

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.146

H-Index - 14

eISSN - 1958-5748

pISSN - 0992-499X

DOI - 10.18280/ria.340101

Subject(s) - automatic generation control , controller (irrigation) , control engineering , computer science , automatic control , electric power system , power (physics) , control theory (sociology) , control (management) , engineering , artificial intelligence , physics , quantum mechanics , agronomy , biology

Received: 1 October 2019 Accepted: 20 December 2019 Load as well as power flow in tie-line are continuously varying in interconnection power systems. This paper presents an efficient method based on artificial intelligence control for automatic generation control (AGC) of a three-area power network. The control method implements Artificial Neural Network (ANN) to damp the frequency deviation and the fluctuation in the tie line power caused by load disturbances. The performance of the proposed controller is compared with classical control methods (PI and PID). The results showed that ANN-based control method is more efficient than others approaches. In this paper, MATLAB/SIMULINK package is used to investigate the results.

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