부산대학교 도서관

With the rapid development of renewable energy represented by photovoltaic and wind power, the influence of the integration of renewable energy generation is increasing, and the voltage over-limit problem brought by grid-connected renewable energy needs to be solved urgently. In this paper, the reactive power compensation provided by photovoltaic and wind power inverters is considered in the distribution network scenes, combined with commonly used reactive power compensation resources for reactive power optimization of power system. First, a multi-objective function with network loss, voltage deviation and reactive power compensation priority is designed, and the weight of the multi-objective function is assigned by Analytic Hierarchy Process. Then, combined with the crossover characteristics of Genetic Algorithm, the improved adaptive Particle Swarm Optimization (IAGPSO) is used to optimize. Finally, the algorithm was simulated on the IEEE33-bus system. The result of IAGPSO is compared with that of Particle Swarm Optimization (PSO), which verifies the improvement effect of our algorithm.