计及风-光-荷时序特性的主动配电网源-储规划策略

为提高风、光分布式电源在主动配电网中的渗透率，计及风-光-荷时序相关特性提出主动配电网源-储规划策略。针对风、光分布式电源以及负荷的时序波动特性，采用改进模糊C均值聚类算法合成风-光-荷时序全场景。综合考虑分布式电源渗透率、消纳水平、经济效益及电压偏差指标建立多目标规划模型。采用混沌粒子群算法进行求解，引入适应度计算改善其全局寻优能力，得到源-储多目标规划解集。通过对东北地区某47节点配电系统的仿真，得到源-储多目标规划方案，并根据电压累计概率密度对规划方案进行评价。结果验证了所提方法的正确性和可行性。

Planning strategies of source-storage considering wind-photovoltaic-load time characteristics

In order to improve the permeability of wind turbines and photovoltaics in an active distribution network, an active distribution network source-storage planning strategy is proposed considering wind-photovoltaic-load timing characteristics. Aiming at the time series fluctuation characteristics of distributed generation and load, the improved fuzzy C-means clustering algorithm is used to synthesize the wind-photovoltaic-load time scenarios. A multi-objective planning model that comprehensively considers distributed generation permeability, consumption level, economy, and voltage stability indicators is established. To solve the multi-objective planning model, the chaotic particle swarm optimization algorithm is used to improve and optimize the global optimization ability by introducing a congestion degree calculation strategy and an elite retention strategy. By simulating a 47-node power distribution system in a certain area, a source-storage multi-objective planning strategy is obtained, and the optimization scheme is evaluated based on the cumulative voltage density. The results verify the correctness and feasibility of the proposed method. This work is supported by National Key Research and Development Program of China (No. 2016YFB0900100).