基于SA算法的主动配电网网损优化模型研究  

Active power distribution network loss optimization model based on SA algorithm

作　　者：曾鸣[1] 王雨晴 刘英新[1] 闫彤 武赓 孙辰军 Zeng Ming;Wang Yuqing;Liu Yingxin;Yan Tong;Wu Geng;Sun Chenjun(State Key Laboratory for Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University,Beijing 102206,China;China Electric Power Planning and Engineering Institute,Beijing 100120,China;State Grid Hebei Electric Power Company,Shijiazhuang050000,China)

机构地区：[1]华北电力大学新能源电力系统国家重点实验室,北京102206 [2]电力规划设计总院,北京100120 [3]国网河北省电力公司,河北石家庄050000

出　　处：《可再生能源》2020年第1期64-69,共6页Renewable Energy Resources

基　　金：中央高校基本科研业务费专项基金资助项目(2019QN070);国家电网公司总部科技项目《面向电力综改区的配电网规划技术及发展策略研究》

摘　　要：分布式电源的接入会对主动配电网系统网损以及其运行经济性造成一定的影响。文章在传统最优潮流(Optimal Power Flow,OPF)模型的基础上,提出了基于敏感性分析(Sensitivity Analysis,SA)算法的主动配电网系统网损优化模型及其求解流程,并在华北地区某34节点配电网系统中对上述模型进行了仿真验证。算例结果表明,在一定的优化误差内,SA算法较传统OPF优化过程具有更高的计算效率,风电出力的不确定性会对系统网损及其最佳接入位置的选择产生较大的影响。The grid-connection renewable distributed power will affect the active loss and operation cost of the active distribution system. Therefore, on the basis of the traditional optimal power flow(OPF)model, this paper proposes an active distribution network loss optimization model and its solution process based on sensitivity analysis(SA) algorithm. Then the above model is simulated and validated in a 34-node distribution network system in north China. The result shows the effectiveness of the proposed algorithm. And within a certain optimization error, SA algorithm is more efficient than the traditional OPF optimization process. The results also show that the uncertainty of the output of renewable distributed power will have a great impact on the selection of the system network loss and its optimal access location.

关 键 词：主动配电网 网损优化 最优潮流 敏感性分析 

分 类 号：TK51[动力工程及工程热物理—热能工程]