基于指标关联的分布式电源并网规划策略  

ACTIVE DISTRIBUTION NETWORK SOURCE-STORAGE PLANNING STRATEGY BASED ON GREY RELATION DOMINANCE

作　　者：张永会 杨如月 潘超[2] 鹿丽 罗远翔[2] 鲍峰 Zhang Yonghui;Yang Ruyue;Pan Chao;Lu Li;Luo Yuanxiang;Bao Feng(Songhuajiang Hydropower Co.,Ltd.,Jilin Baishan Power Plant,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132012 [2]东北电力大学电气工程学院,吉林132012

出　　处：《太阳能学报》2022年第1期242-248,共7页Acta Energiae Solaris Sinica

基　　金：国网新源集团科技服务项目(SGXYBS00SJJS1800074);国家重点研发计划重点专项(2016YFB0900100)。

摘　　要：为解决新能源并网时的电源规划与风光消纳问题,考虑风光能源功率波动特性并计及储能单元提出一种计及风光协调出力的电网规划策略。综合考虑电压波动、新能源消纳及新能源发电效益建立多指标规划模型,采用引入指标关联策略的粒子群优化方法对模型进行求解,确定分布式电源及储能的位置和容量。进一步分析优化方案在电能质量方面的规划效果,统计对比电压累计概率密度对规划方案进行评价。以某电网45节点配电系统为例,采用所提分布式电源并网规划策略进行仿真,决策风光储并网方案,并验证所提策略的合理性和可行性。In order to solve the problems of power planning and consumption of wind and photovoltaic power generation when new energy is connected to the grid,the power fluctuation characteristics of new energy and the energy storage unit is considered in this paper.And a power grid planning strategy considering the coordinated output of new energy is proposed.Comprehensively consider voltage fluctuations,new energy penetration and consumption,and new energy power generation benefits to establish a multi-index planning model.The particle swarm optimization method with index correlation strategy is used to solve the model and determine the location and capacity of distributed generation and energy storage.Further analyze the planning effect of the optimization scheme in terms of power quality,and the planning scheme by comparing the cumulative probability density of voltage is evaluated.Taking a 45-node distribution system of a power grid as an example,the distributed generation grid connection planning strategy is used for simulation.Then the grid connection schemes of wind,photovoltaic and storage are decided,and the rationality and feasibility of the proposed strategy are verified.

关 键 词：多目标优比 分布式电源 电力系统规划 储能 

分 类 号：TM715[电气工程—电力系统及自动化]