Simultaneous Placement and Sizing of DG and Capacitor to Minimize the Power Losses in Radial Distribution Network

Abstract

In the present power system scenario, minimization of power losses in the distribution network is one of the interesting areas of research and modern challenges in the research community. Distribution network has large and complex structure; it produces more power losses as compared to transmission system. High power losses and poor voltage regulation are occurring at each bus when it moves away from the substation node to end node. Many methods have been implemented to minimize the power losses in the distribution system. Sitting and sizing of Distributed Generation (DG) and capacitors are new approaches used in the distribution system to minimize the power losses. However, capacity and location of DG and capacitors in the distribution system are considered independently. Improved voltage profile, increased overall energy efficiency, and reduced environmental impacts are some benefits produced by DG and capacitors. Consumer is also benefited from DG and capacitors optimization in terms of improved quality of power supply at lower cost. Sitting and sizing of DG and capacitor is a combinatorial optimization problem, and hence metaheuristics are used. An Adaptive Quantum-inspired Evolutionary Algorithm (AQiEA) approach is used for the optimization of DG and capacitors. In this paper, a new approach is considered by simultaneous placement and sizing of Distributed Generation (DG) and capacitor to minimize power losses. The effectiveness of the proposed algorithm is tested on 85-bus system. The experimental results show that AQiEA has better performance as compared with some existing algorithms.