Multi-objective DG allocation in a radial power distribution network for power loss reduction, voltage profile improvement and investment deferral

The paper presents a method for the Distributed Generation (DG) allocation planning based on a multi-objective genetic algorithm for power loss reduction, voltage profile improvement and investment deferral. The problem is approached as a multi-objective, constrained optimization problem. The best trade-off among the candidate solutions from the Pareto front is obtained using fuzzy multi-criteria decision-making based on the Bellman-Zadeh method. The algorithm is applied to a realistic medium voltage power distribution system in order to demonstrate its practical relevance. Results demonstrate that both DG distribution and penetration level affect the objective functions, which tend to be optimized at a medium DG penetration and high distribution levels. It is demonstrated that the presented algorithm is applicable for a realistic power system and that it provides an insight into the impact of the DG integration on various network parameters. The paper is expected to improve the existing DG planning process and its results will be used in practical situations by planning engineers of the Utility and Regulatory bodies.