Reconfiguration of smart distribution network considering variation of load and local renewable generation

Abstract

Power distribution system reconfiguration can be achieved by changing the status of sectionalizing and ties switches on the feeders to power loss reduction and voltage profile improvement. The load value in distribution networks depends on hours of day and load type as industrial, commercial, and residential. Nowadays the presence of distributed generation (DG) units in distribution networks increasing and generated power form these units are not constant. Load profiles hourly variations on the one hand and power generation variation of DG units versus input parameter like wind speed, intensity of sunlight and river flow on the other hand, the necessity of online distribution network reconfiguration implementation using installation of remote controlled switches are highlighted. In normal operation situation, reconfiguration of distribution network can reduce losses and improve voltage profile, but considering load and generation variation can alter power loss and voltage magnitude of buses. In this paper optimal online reconfiguration, taking into account hourly changes in output power of renewable energy sources considering the hourly variation of three load types residential, industrial and commercial using Cuckoo Search Algorithm (CSA) to reduce power losses and improve voltage profile in the standard 33 bus will be conducted during 24 hours. The results of the simulation in MATLAB software environment show the effectiveness of the proposed method to reduce losses and improve voltage profile.