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Automatic Generation Control Using ANN Technique for Multi-Area Power System with SMES Units

机译:具有SMES单元的多区域电力系统的ANN技术自动发电控制

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This paper presents an application of layered artificial neural network (ANN) controller to study automatic generation control (AGC) problem of a four-area interconnected power system in which three areas include steam turbines and the other area includes a hydro turbine, and all of the areas include superconducting magnetic energy storage(SMES) units. In the study, back propagation-through-time algorithm is used to cope with the non-linear dynamics. As the system equations are satisfactory, no ANN emulator is used. The performance of the power system is simulated by using conventional integral controllers and ANN controller. By comparing the results of simulations, the performance of the ANN controller is better than conventional controllers.
机译:本文提出了分层人工神经网络(ANN)控制器在研究四区域互联电力系统的自动发电控制(AGC)问题中的应用,该系统的三个区域包括蒸汽轮机,另一个区域包括水轮机,并且所有这些区域包括超导磁能存储(SMES)单元。在研究中,使用反向传播时间算法来应对非线性动力学。由于系统方程式令人满意,因此不使用ANN仿真器。通过使用常规积分控制器和ANN控制器来模拟电力系统的性能。通过比较仿真结果,ANN控制器的性能优于常规控制器。

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