OPTIMAL CAPACITOR SWITCHING WITH NOVEL NEURAL NETWORK MODEL FOR RADIAL DISTRIBUTION SYSTEM

Abstract

The optimal capacitor switching (OCS) is an important measure for loss minimization of distribution systems via an optimal capacitor dispatch schedule. The OCS is used to improve the voltage profile and minimize system losses. A novel neural network based approach uses variables to solve the OCS problem in radial distribution systems. For a typical distribution network, a power flow (PF) is used in an unbalanced phase, it is necessary to optimize the number of switched banks in the bus of each single phase independently. The NN based OCS is used to find the size and location of the capacitor for loss reduction and to improve the voltage profile in Radial Distribution System (RDS).