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Design of Artificial Intelligent Controller for Automatic Generation Control of Two Area Hydrothermal System

机译:两区热力系统自动发电控制的人工智能控制器设计

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This paper presents the design of controller based on the principles of Neural networks. The concept of artificial intelligent techniques greatly helps in overcoming the disadvantages posed by the conventional controllers. A hierarchical architecture of three layer feed forward neural network (NN) is proposed for controller design based on back propagation algorithm (BPA). Area Control Error (ACE) is considered as input to the neural network controller and the output of the controller is provided to the governor in each area. The proposed controllers are tested for a two area hydrothermal system. Simulation results show that the limitations of conventional controller can be overcome by including Neural concept and thereby the dynamic response of the system with respect to peak time, overshoot and settling time can be improved drastically. Keywords: Automatic Generation Control, Hydrothermal system, Neural network, Back propagation algorithm, Area control error
机译:本文提出了基于神经网络原理的控制器设计。人工智能技术的概念极大地有助于克服传统控制器带来的缺点。针对基于反向传播算法(BPA)的控制器设计,提出了一种三层前馈神经网络(NN)的层次结构。区域控制错误(ACE)被认为是神经网络控制器的输入,控制器的输出被提供给每个区域的调速器。建议的控制器已针对两区热液系统进行了测试。仿真结果表明,通过包含神经网络概念可以克服常规控制器的局限性,从而可以显着改善系统在峰值时间,过冲和稳定时间方面的动态响应。关键字:自动发电控制,热液系统,神经网络,反向传播算法,区域控制误差

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