Abstract:Based on the typical sequential characteristic of different types of load and distributed generation (DG), considering the environmental cost of different types of pollutants and Energy storage efficiency,a multi-objective optimal allocation model of DG and energy storage equipment is established, which is applied to obtain the minimum annual social cost, annual electricity purchasing cost, annual environmental cost, annual reliability cost and voltage deviation. The model executes collaborative optimization of the location and capacity of DG and energy storage equipment based on the sequential characteristic of load and DG output. Meanwhile, to solve the problems that the NSGA-II algorithm has low initialization diversity, the probability of crossover mutation is constant and the convergence rate is low, the theory of cloud model is integrated into NSGA-II and the improved model is applied to optimize the model, the 1-9 scales method and membership function are combined to evaluate the results of optimization. Last, the model is simulated in IEEE-33 node system, the simulation results show that the model and algorithm can effectively optimize the site and capacity of DG and energy storage equipment.
陈聪伟, 江修波, 刘丽军. 考虑时序与储能配合的分布式电源优化配置研究[J]. 电气技术, 2017, 18(6): 41-47.
Chen Congwei, Jiang Xiubo, Liu Lijun. Study on the Optimization of Distributed Generation Considering the Cooperation of Sequential Characteristic and Energy Storage Equipment. Electrical Engineering, 2017, 18(6): 41-47.