基于支路潮流模型约束的分布式储能系统优化配置方法  

Optimization Configuration of Distributed Energy Storage System Based on Branch Flow Model Constraints

作　　者：谢波 戴博伟 郝文斌 胡俊阳 杨彩虹 李宁宁 XIE Bo;DAI Bowei;HAO Wenbin;HU Junyang;YANG Caihong;LI Ningning(State Grid Chengdu Electric Power Supply Company, Chengdu 610041, Sichuan, China;School of Electrical Engineering, Xi′an Jiaotong University, Xi′an 710049, Shaanxi, China;College of Computer Science, Sichuan University, Chengdu 610065, Sichuan, China)

机构地区：[1]国网四川省电力公司成都供电公司,四川成都610041 [2]西安交通大学电气工程学院,陕西西安710049 [3]四川大学计算机学院,四川成都610065

出　　处：《四川电力技术》2022年第2期7-11,共5页Sichuan Electric Power Technology

摘　　要：为实现“双碳”目标及整县光伏战略规划,针对平抑配电网负荷以及分布式新能源出力波动性的分布式储能选址定容问题,文中考虑系统收益与成本,在对电力系统约束条件进行相角松弛及二阶锥松弛的基础上结合电池储能的运行特性,提出了一种基于支路潮流模型约束的分布式储能优化配置模型;在满足约束条件的基础上求解储能配置方案及日前调度策略。算例通过与启发式算法——粒子群算法进行对比,验证了所提算法的有效性及收敛性。In order to achieve carbon peak and neutrality goals as well as the implement planning of"whole county photovoltaic(PV)"strategy,aiming at the allocation problem of distributed energy storage that stabilizes the volatility of distributed load and new energy output,and on basis of phase angle and second-order cone relaxation of power system constraints combined with the operating characteristics of battery energy storage,an optimization model for the configuration and day-ahead scheduling strategy of distributed energy storage is proposed based on the branch flow model constraints and considering the system benefits and costs.The calculation results verify the effectiveness and convergence of the proposed algorithm by comparing with the heuristic algorithm-particle swarm algorithm.

关 键 词：优化配置 选址定容 支路流模型 储能配置 

分 类 号：TM715[电气工程—电力系统及自动化]