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Artificial neural network based multi area Automatic Generation Control scheme for a competitive electricity market environment

机译:竞争性电力市场环境下基于人工神经网络的多区域自动发电控制方案

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This paper presents an artificial neural network (ANN) based controller for multi-area Automatic Generation Control (AGC) scheme in a deregulated electricity market. A three layer feed forward neural network (NN) is proposed for controller design and trained with Back propagation algorithm (BPA). The ANN controller has been developed for multi-area system having Poolco, bilateral and mixed transactions. The Area Control Error (ACE) signal and load variation in the system have been used as input to the ANN controller. The functioning of the proposed controller has been demonstrated on a 75-bus Indian power system network and the result of the ANN controller is compared with a conventional Proportional-Integral-Derivative (PID) controller tuned with Genetic Algorithm.
机译:本文提出了一种基于人工神经网络(ANN)的控制器,用于电力市场放松管制的多区域自动发电控制(AGC)方案。提出了一种用于控制器设计的三层前馈神经网络(NN),并使用反向传播算法(BPA)对其进行了训练。已为具有Poolco,双边和混合交易的多​​区域系统开发了ANN控制器。系统中的区域控制错误(ACE)信号和负载变化已用作ANN控制器的输入。所建议的控制器的功能已在印度75总线的电力系统网络上得到了证明,并将ANN控制器的结果与通过遗传算法调整的常规比例-积分-微分(PID)控制器进行了比较。

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