Research on Reactive Power Optimization of Distribution Network with Distributed Generation

Due to its good environmental, social and economic benefits, the combination of distributed generation and centralized power generation has been the trend of power system development, but the randomness and intermittency of distributed generation have brought new problems to the system. For the reactive power optimization problem of distribution network with distributed generation, this study establishes a reactive power optimization model with the minimum active loss, the minimum voltage offset and the minimum average voltage offset as the multi-objectives. Different from most studies using weight to convert multi-objective into single-objective, this paper uses the multi-objective model of Pareto optimal solution, uses the improved non-dominated sorting differential evolution algorithm to determine the capacity of distributed generation, obtains a set of Pareto optimal solutions, and selects the compromise solution. Finally, taking IEEE33 - bus system as an example, the proposed model and algorithm are verified. The results show that the model and algorithm have certain reference value for reactive power optimization of distribution network.