考虑时序与储能配合的分布式电源优化配置研究

Study on the Optimization of Distributed Generation Considering the Cooperation of Sequential Characteristic and Energy Storage Equipment

本文基于不同类型负荷和DG的典型时序特性,以及考虑不同类型污染物的环境代价和储能效益,以配电网年社会成本、年购电成本、年环境成本、年可靠性成本、最低点电压偏移量为目标函数,建立DG和储能设备的优化配置模型。该模型根据负荷和DG出力的时序性,对DG和储能装置的位置和容量进行协同优化。同时为了改善NSGA-Ⅱ初始化多样性低、交叉变异概率恒定、收敛速度慢等缺点,将云模型的思想融入到NSGA-Ⅱ中,并利用改进的云模型NSGA-Ⅱ对上述模型进行寻优,然后再用1—9标度法与隶属度函数相结合的方法对寻优的结果进行评价。最后,通过IEEE-33节点系统对该模型进行仿真。结果表明,上述模型和算法能有效地对分布式电源和储能设备进行优化配置。

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.