计及经济性和低碳性的光储充一体化电站多目标优化配置

Multi-objective optimization based capacity accommodation of PIS considering its ecomomic construction and low-carbon operation

为充分挖掘光储充一体化电站经济效益及碳减排效益,实现站内组成单元合理配置,文中提出一种计及经济性和低碳性的光储充一体化电站多目标优化配置方法。首先,根据充电站内各模块的功能及需求,探究光储充电站中碳排放的来源,建立站内各模块成本、碳排放的数学模型。然后,以系统年投资运行成本和碳排放量最小为目标,使用基于三黑洞捕获策略的多目标粒子群算法,对不同负荷场景下电站各组成模块进行优化配置,得出各场景下电站各组成模块的最优配置方案。对比结果表明,文中所提方法可有效降低规划运行时的成本和碳排放量,提高电站经济及环境效益。最后,采用逼近理想解排序法得出最优场景下的折衷优化方案,可为当前光储充一体化电站的投资建设提供参考。

In order to explore the economic and carbon reduction benefits of photovoltaic-storage-charging integrated stations and achieve reasonable configuration of internal components,a multi-objective optimization configuration method for stations that takes into account economic and low-carbon aspects is proposed.Firstly,based on the functions and requirements of each module in the charging station,the sources of carbon emissions generated by station is explored,and a mathematical model for the cost and carbon emissions of each module in the station is established.Then,with the goal of minimizing the annual investment and operating cost of the system and carbon emissions,a multi-objective particle swarm optimization algorithm based on three-black-hole capturing strategy is used to optimize the configuration of various modules of stations in different load scenarios,and the optimal configuration plan for each component module of the station under three scenarios is obtained.The comparative results show that the method proposed in this article can effectively reduce the cost and carbon emissions during planning and operation,and improve the economic and environmental benefits of stations.Finally,the technique for order preference by similarity to ideal solution is used to provide a compromise optimization plan for the optimal scenario,which can provide reference for the current investment and construction of photovoltaic-storage-charging integrated stations.