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

机译:ANN技术在三面积电力系统负载频率控制中的应用

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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:本文包括分层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。控制方案保证了在给定的公差限制中保持频率稳定的频率误差和无意系的连接线交换。所提出的控制已经设计用于三个面积互连的电力系统,使得两个区域包括蒸汽轮机,另一个区域包括水轮机。仅考虑仅控制电力系统中每个区域的输入的一个人工神经网络(ANN)控制器。在该研究中,将反向传播通道时间算法用作神经网络学习规则。通过使用传统的整体控制器和ANN控制器分别模拟电力系统的性能。通过比较两种情况的结果,ANN控制器的性能优于传统控制器。

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