Substation Demand Reduction using Combined Approach of CVR, VAr Optimization and Distributed Generation

Abstract

This study proposed, a combined scheme of conservation voltage reduction (CVR), VAr optimization (VO), and distributed generation (DG) to lower apparent substation demand. This research also seeks to optimize the DG placement problem during the implementation of CVR and OCP. The optimal allocation of shunt capacitor and DG has been identified using the grey wolf optimization (GWO) method. The proposed approach is illustrated on the modified IEEE-33 feeder system. To show the benefits of proposed approach, four different modes such as normal operation, CVR with VO, CVR with DG, and CVR with VO and DG have been carried out. Simulation results reveal that operating CVR with DG and VO has achieved a higher reduction in apparent substation demand in comparison with the remaining modes.