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):14-18 |
基于万有引力搜索算法的微电网风光储容量优化配置 |
YUAN Xiao.ling1, CHENG Lin.wei1, LU Li.juan2, HE Wei.guo3, HUA Guang.hui3, |
投稿时间:2017-05-27 修订日期:2017-08-09 |
DOI:10.3969/j.issn.1009-1831.2017.06.004 |
中文关键词: 风光储系统 多目标优化 万有引力搜索算法 容量优化配置 |
英文关键词: wind.solar.storage system multi.objective opti.mization gravitational search algorithm(GSA) configuration opti.mization of capacity |
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中文摘要: |
对规模化风光储发电单元运行可靠性差、经济效益低等问题,通过采用多目标万有引力搜索算法,实现对风光储发电单元的优化配置。建立发电单元的输出功率模型,包括风力发电机输出功率模型、光伏电池输出功率模型和储能电池输出功率模型;采用某地区 2015年 1月至 12月的风光数据,得出风机、光伏电池一年的输出功率。以风机、光伏电池及蓄电池的容量为决策变量,以成本、能源浪费率及缺电率最小为优化目标,得到最优风光储容量配置组合。 |
英文摘要: |
For the poor operation reliability and low econom.ic benefit of large.scale wind.solar.storage generation system, thispaper 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, includingwind turbine model, photovoltaic generator model and storage bat.tery model.Wind speed, irradiation and temperature data of an areafrom 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 wastagerate as optimal objective. |
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