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

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.