南方电网技术2024，Vol.18Issue(11)：119-128,10.DOI:10.13648/j.cnki.issn1674-0629.2024.11.013
基于改进黏菌算法的分布式光伏发电并网规划
Integration Planning of Distributed Photovoltaic Generation Based on Improved Slime Mould Algorithm
摘要
Abstract
In view of the unreasonable layout of distributed photovoltaics will bring major impact to the distribution network,a double-layer optimized locating and sizing model of distributed photovoltaic considering the load and PV system output timing is proposed.The upper-layer optimization aims to screen a set of combined data of PV access nodes and installed capacity.The lower-layer optimization takes the network loss,voltage offset and minimum investment cost as the objective function,and feeds back the optimal planning results to the upper optimization layer while solving the high-dimensional and nonlinear power factor optimization problem,so as to determine the optimal access node and installed capacity of distributed photovoltaics.In addition,the adaptive artificial bee colony slime mold algorithm with improved crossover operator is introduced to solve the model,which has excellent global search ability,local development ability and renewal mechanism of the individual,which can obtain more ideal high-quality solutions for such models.The simulation results show that the improved slime mould algorithm not only considers the economy,but also significantly improves the active power loss and power quality of the distribution network compared to other algorithms..关键词
分布式光伏/选址定容/改进黏菌算法/配电网/功率因数Key words
distributed photovoltaic/locating and sizing/improved slime mould algorithm/distribution network/power factor分类
信息技术与安全科学引用本文复制引用
杨海柱,刘森,张鹏,白亚楠..基于改进黏菌算法的分布式光伏发电并网规划[J].南方电网技术,2024,18(11):119-128,10.基金项目
国家自然科学基金资助项目(62273312). Supported by the National Natural Science Foundation of China(62273312). （62273312）
