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Automatic Generation Control for Power System with SMES by Using Neural Network Controller

机译：利用神经网络控制器的SMES电力系统自动发电控制

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摘要

This work investigates the performance of a neural network (NN) for automatic generation control of a power system including the Superconducting Magnetic Energy Storage (SMES) unit. First, a single-area power system is represented by the state space model. The reheat effect nonlinearity of the steam turbine is also considered in this model. The control of this system is investigated using a conventional PI controller versus an NN controller. Further computer simulations are performed on interconnected power system with two areas including SMES units. The single-area and two-area systems simulation results both indicate better control performance can be obtained by the NN controller. Only one NN controller, using the back propagation-through-time algorithm, controls the inputs of each area in the power system.
机译：这项工作研究了神经网络（NN）的性能，该神经网络用于电力系统的自动发电控制，包括超导磁能存储（SMES）单元。首先，由状态空间模型表示单区域电力系统。该模型还考虑了汽轮机的再热效应非线性。使用常规的PI控制器与NN控制器来研究该系统的控制。在包含SMES单元的两个区域的互连电力系统上执行进一步的计算机仿真。单区域和两区域系统的仿真结果均表明，NN控制器可以获得更好的控制性能。只有一个NN控制器使用反向传播时间算法来控制电力系统中每个区域的输入。

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