电力需求侧管理2017，Vol.19Issue(6)：14-19,6.DOI:10.3969/j.issn.1009-1831.2017.06.004
基于万有引力搜索算法的微电网风光储容量优化配置
Configuration optimization of wind-solar-storage system in microgrid based on GSA
摘要
Abstract
For the poor operation reliability and low econom-ic benefit of large-scale wind-solar-storage generation system, this paper adopts multi-objective gravitational search algorithm (GSA) to optimize capacity allocation of wind-solar-storage generation unit. Power output models of generation unit are established, including wind turbine model, photovoltaic generator model and storage bat-tery model. Wind speed, irradiation and temperature data of an area from January to December in 2015 are used to calculate power out-put of wind turbine and photovoltaic cell. The optimal wind-solar-storage system configuration is obtained with capacity of wind tur-bine, photovoltaic cell and battery as decision variables and mini-mum of cost, loss of power supply probability and energy wastage rate as optimal objective.关键词
风光储系统/多目标优化/万有引力搜索算法/容量优化配置Key words
wind-solar-storage system/multi-objective opti-mization/gravitational search algorithm(GSA)/configuration opti-mization of capacity分类
信息技术与安全科学引用本文复制引用
袁晓玲,程淋伟,鲁丽娟,赫卫国,华光辉,陈锋,刘皓明..基于万有引力搜索算法的微电网风光储容量优化配置[J].电力需求侧管理,2017,19(6):14-19,6.基金项目
国家电网公司科技项目(NY71-16-024) （NY71-16-024）
