高电压技术2017，Vol.43Issue(4)：1263-1270,8.DOI:10.13336/j.1003-6520.hve.20170328025
基于K-means聚类粒子群算法的多点PV-DG日前分配计划
Particle Swarm Optimization Based on K-means Cluster for Day-ahead Allocation Plan of Multiple Photovoltaic Distributed Generation
李磊 1王俊熙 1贺易 1詹鹏 1刘方方 1汤弋1
作者信息
- 1. 国网湖北省电力公司信息通信公司,武汉430077
- 折叠
摘要
Abstract
In allusion to the scene that multiple photovoltaic distributed generation (PV-DG) will be connected in the distribution power system,particle swarm optimization (PSO) based on K-means cluster for day-ahead allocation plan of multiple PV-DG is proposed.In this algorithm,the hourly network loss of nodes connected with PV-DG is alternately combined with the designed formulas to initially allocate the penetration level of multiple PV-DG connected with nodes,this penetration is used to initialize the particle in the PSO algorithm.Moreover,the ARMA is compared with various predicting parameters the traditional ARMA.The simulation results indicate that the proposed ARMA can improve the predicting accuracy.The comparison is carried on among the PSO based K-means cluster,classical PSO,and fuzzy PSO,the results show that PSO-based K-means cluster can reduce more network loss.关键词
光伏分布式电源/自回归滑动平均/分时预测系数/基于K-means的粒子群优化算法/网损Key words
photovoltaic distributed generation/auto regressive moving average/various time-interval predicting parameters/particle swarm optimization based on K-means/network loss引用本文复制引用
李磊,王俊熙,贺易,詹鹏,刘方方,汤弋..基于K-means聚类粒子群算法的多点PV-DG日前分配计划[J].高电压技术,2017,43(4):1263-1270,8.
