ABC and ANN based minimization of power loss for distribution system stability

Abstract

In this paper, a hybrid approach is proposed for optimizing the location and size of distribution generations (DGs) in power distribution system. This hybrid approach is the combination of artificial bee colony algorithm (ABC) and artificial neural network (ANN). Here ABC computes the optimal location of the DG systems and ANN is sized the capacity of DGs. The optimal location is evaluated as per the voltage deviation, power loss and real power variation of load buses. Then, exact capacity of DGs to improve the voltage stability and reduce the power losses of the load buses is done by using ANN. The Newton-Raphson load flow study is used for analyzing the power flow of the system. From the power flow analysis, the bus voltages, active power, reactive power, power losses and voltage deviation of the system is determined. The proposed method is implemented in MATLAB working platform.