计算机与现代化Issue(4)：27-32,6.DOI:10.3969/j.issn.1006-2475.2024.04.005
基于增强卷尾猴搜索算法的分布式电源定容选址方法
Method of Location and Capacity Determination for Distributed Generator Based on Enhanced Capuchin Search Algorithm
摘要
Abstract
Under the influence of the characteristics and distribution of new energy,large-scale distributed generator(DG)and electric vehicles(EV)are connected to the distributed network,which makes a fundamental change in the structure and opera-tion mode of the power grid.In order to improve the utilization rate of DG and reduce the fluctuation of the distributed network,the minimum annual comprehensive cost of the distribution generation is taken as the objective function.Under the constraint conditions of node voltage and branch power,a planning model of constant volume location of distributed network DG is estab-lished including EV charging,and an enhanced capuchin search algorithm is proposed to solve the model.This algorithm im-proves the social behaviors selected by the leader in the wild horse optimizer on the traditional capuchin search algorithm to avoid falling into the local optimal situation.Finally,the typical distribution system of IEEE-33 bus is simulated and compared with other algorithms to verify the superiority of the proposed algorithm.关键词
分布式电源/定容选址/电动汽车/配电网/增强卷尾猴搜索算法Key words
distributed generator(DG)/location and capacity determination/electric vehicle(EV)/distribution network/en-hanced capuchin search algorithm(ECapSA)分类
信息技术与安全科学引用本文复制引用
李佳多,闫秀英..基于增强卷尾猴搜索算法的分布式电源定容选址方法[J].计算机与现代化,2024,(4):27-32,6.基金项目
国家自然科学基金面上项目(52278125) （52278125）
陕西省低能耗建筑节能创新示范工程研究项目(2017DXM-GY-025) （2017DXM-GY-025）
