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The application of ANN technique to load-frequency control for three-area power system

机译:人工神经网络技术在三区电力系统负荷频率控制中的应用

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This paper includes an application of layered artificial neural network controller to study the load-frequency control problem in a power system. The control scheme guarantees that steady state error of frequencies and inadvertent interchange of tie-lines are maintained in a given tolerance limitation. The proposed control has been designed for a three-area interconnected power system such that two areas include steam turbines and the other area includes a hydro turbine. Only one artificial neural network (ANN) controller, which controls the inputs of each area in the power system together, is considered. In the study, a back propagation-through-time algorithm is used as a neural network learning rule. The performance of the power system is simulated by using a conventional integral controller and ANN controller, separately. By comparing the results for both cases, the performance of an ANN controller is better than conventional controllers.
机译:本文包括一个分层的人工神经网络控制器的应用,以研究电力系统中的负载-频率控制问题。该控制方案可确保在给定的公差范围内保持频率的稳态误差和联络线的意外互换。所建议的控件已针对三区域互连电力系统进行了设计,使得两个区域包括蒸汽轮机,另一个区域包括水轮机。仅考虑了一个人工神经网络(ANN)控制器,该控制器可以一起控制电力系统中每个区域的输入。在这项研究中,使用反向传播时间算法作为神经网络学习规则。通过分别使用常规积分控制器和ANN控制器来模拟电力系统的性能。通过比较两种情况的结果,ANN控制器的性能要优于传统控制器。

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