电力物联网光伏微网多目标容量配置优化研究

Research on multi⁃objective capacity allocation optimization of photovoltaic microgrid in power Internet of Things

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.