基于人工神经网络的单区电力系统负荷频率控制器设计

Alia J. Mohammed, Sadeq D. Al-Majidi, Mohammed Kh. Al-Nussairi, M. Abbod, H. Al-Raweshidy
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引用次数: 2

摘要

负载频率控制器(LFC)是单区域电力系统网络(PSN)的重要组成部分,用于在电力需求快速变化时调节其频率水平,提高输出功率。本文针对单区PSN设计了基于人工神经网络(ANN)技术的LFC。人工神经网络模型的训练数据来自于一个拟议的Simulink测试。然后,建立了单区域PSN的MATLAB/Simulink模型来评估该建议。结果表明,在阶跃变化负载的不同状态下,所提出的人工神经网络控制器的运行工作优于比例-积分-导数PID控制器。
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Design of a Load Frequency Controller based on Artificial Neural Network for Single-Area Power System
A Load Frequency Controller (LFC) is considered an essential part in a single-area Power System Network (PSN) to adjust its frequency level and enhance the output power when the electrical demand is changed rapidly. In this paper, the LFC based on an Artificial Neural Network (ANN) technique is designed for the single-area PSN. The training data of the ANN model are collected from a proposed Simulink test. Then, a MATLAB/Simulink model of the single-area PSN is developed to assess this proposal. The results show that the operation work of the proposed ANN controller is better than a Proportional-Integral-Derivative PID controller under the different states of step-change loads in the term of transit state and deviation issues.
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