计及风-光-荷时序特性的主动配电网源-储规划策略  

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

作　　者：张永会 鹿丽 潘超[2] 张亚谱 罗远翔[2] 鲍峰 ZHANG Yonghui;LU Li;PAN Chao;ZHANG Yapu;LUO Yuanxiang;BAO Feng(Jilin Baishan Power Plant,Songhuajiang Hydropower Co.,Ltd.,Jilin 132012,China;School of Electrical Engineering,Northeast Electric Power University,Jilin 132012,China)

机构地区：[1]松花江水力发电有限公司吉林白山发电厂,吉林吉林132012 [2]东北电力大学电气工程学院,吉林吉林132012

出　　处：《电力系统保护与控制》2020年第20期48-56,共9页Power System Protection and Control

基　　金：国家重点研发计划重点专项资助(2016YFB0900100);常规水电站结合抽蓄、光伏、风电、电化学储能联合开发研究项目资助(525687200009)。

摘　　要：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。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.

关 键 词：风-光-荷时序特性 消纳水平 源-储规划 时序全场景 

分 类 号：TM715[电气工程—电力系统及自动化]