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Optimal assignment of the battery for the power system by the response surface method with the radial basis function networks

机译:利用径向基函数网络的响应面法优化电力系统电池的分配

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Recently, the installation of the battery for the power system has been investigated. This study focuses on the optimal battery assignment method which assigns the batteries to contribute to the system stabilization against N-1 line accident. In this method, the optimal battery assignment and operation problem whose objective is the minimization of the phase difference fluctuation on all nodes caused by N-1 line accident at each branch is formulated. Then, the optimal battery assignment and the power supplies of batteries are determined by solving the formulated problem. However, this method requires a lot of computation time, because this method requires a large number of power flow calculations with high computational cost. This study proposes to apply the response surface method with the radial basis function networks to the optimal battery assignment and operation problem in order to reduce the number of the power flow calculations. This paper confirms the effectiveness of the proposed method through numerical experiments of the application to the IEEJ EAST 10-machine system model.
机译:近来,已经研究了用于电力系统的电池的安装。这项研究的重点是最佳电池分配方法,该方法分配电池以有助于系统抵御N-1线路事故。在这种方法中,制定了最佳电池分配和运行问题,其目的是使每个分支处的N-1线路事故引起的所有节点上的相差波动最小。然后,通过解决所提出的问题来确定最佳的电池分配和电池的电源。但是,该方法需要大量的计算时间,因为该方法需要大量的潮流计算且计算成本较高。本研究提出将具有径向基函数网络的响应面方法应用于最优电池分配和运行问题,以减少潮流计算的次数。本文通过对IEEJ EAST 10机系统模型应用的数值实验,验证了该方法的有效性。

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