A MULTI-OBJECTIVE OPTIMIZATION APPROACH FOR GRID-CONNECTED DISTRIBUTED PHOTOVOLTAIC CONFIGURATION

摘要

To solve the optimal configuration problem of grid-connected distributed photovoltaic (DPV), a multi-objective optimization approach is proposed. In the approach, an interactive multi-objective model including the lowest cost, the minimum network losses and the best voltage quality is constructed, non-preference weights are used to transform multi-objective into a single objective, and an improved genetic algorithm with the mutation operator and crossover operator relating to fitness is utilized. The improved algorithm respectively used three single objective functions and the proposed multi-objective function as the objective function to optimize the position and capacity of the IEEE 34-node distributed test feeder DPV, and compared the results. The effectiveness and rationality of the proposed approach are verified. Finally, a real case in north China demonstrates the application of the approach, the results show the proposed approach can provide a scientific basis for configuration of grid-connected PVs in power distribution planning.