摘要
光伏微网内部容量配置较小,导致光伏并网自我消纳能力不足,造成经济损失。为了解决这个问题,提出了电力物联网光伏微网多目标容量配置优化研究。建立运行成本、投资成本、年收益目标函数,以经济最优为目标,构建多目标容量配置目标函数。在改进乌鸦搜索算法中引入最优粒子群算法,求解目标函数,以乌鸦评判感知率为依据,输出配置结果最优解。实验结果表明,该方法光伏负荷曲线与理想光伏负荷曲线一致,总收益比理想收益高1 410万元,说明使用该方法经济效益较高。
The internal capacity configuration of the photovoltaic microgrid is small,which leads to insufficient self absorption capacity of the photovoltaic grid connection and economic losses.In order to solve this problem,a multi-objective capacity allocation optimization study of photovoltaic microgrid in the power Internet of things is proposed.Establish the objective function of operation cost,investment cost and annual income,and build the objective function of multi-objective capacity allocation with the goal of economic optimization.In the improved crow search algorithm,the optimal particle swarm optimization algorithm is introduced to solve the objective function,and the optimal solution of the configuration result is output based on the crow’sevaluation perception rate.The experimental results show that the photovoltaic load curve of this method is consistent with the ideal photovoltaic load curve,and the total income is 14.1 million yuan higher than the ideal income,indicating that the economic benefit of using this method is high.
作者
李明
尹晓宇
董小菱
宫帅
吴金淦
LI Ming;YIN Xiaoyu;DONG Xiaoing;GONG Shuai;WU Jingan(Information and Communication Branch,State Grid Anhui Electric Power Co.,Ltd.,Hefei 230061,China;Anhui Jiyuan Software Co.,Ltd.,Hefei 230088,China)
出处
《电子设计工程》
2024年第5期165-168,173,共5页
Electronic Design Engineering
基金
国网安徽电力-物联管理平台深化应用项目(B36818210403)。
关键词
电力物联网
光伏微网
多目标容量
改进乌鸦搜索算法
power Internet of Things
photovoltaic microgrid
multi-objective capacity
improved crow search algorithm
