摘要
为了提高微电网光储联合电站的稳定性和经济性,提出了一种基于全寿命周期的光储系统容量优化的方法。首先分析了光储电站的基本模型;然后基于全寿命周期理论构建储能系统容量优化模型,并综合考虑系统的收支因素;最后对实际案例进行三种方案的仿真分析。仿真结果表明:以最大净现值作为目标对系统容量进行优化配置的方法具有较高的经济性,其净现值比以电能质量为目标和不配置储能两种方法分别高出80.9万元和73.8万元,储能系统容量若超过3 MW将无法发挥最大效益,还造成系统售电收益、考核成本趋于饱和,而电池损耗成本大大上升。通过以最大净现值作为目标对系统容量进行优化配置能够以较低的考核成本和电池损耗成本实现增加系统售电收益和最大净现值,同时对电能质量也有一定改善。
In order to improve the stability and economy of photovoltaic-storage combined power station,a capacity optimization method of photovoltaic-storage system based on the whole life cycle was proposed.The basic model of the station was analyzed.The capacity optimization model of energy storage system was established based on whole life cycle theory.And the revenue and expenditure of the system were considered.The actual case was simulated and analyzed by the three schemes.It can be obtained that the optimal method of system capacity with the maximum net present value as the goal has high economy.The net present value is 809 thousand yuan and 738 thousand yuan higher than the method of taking power quality as the goal and not allocating energy storage,respectively.If the capacity of the energy storage system exceeds 3 MW,it will not give full play to the maximum benefit,it will lead to the saturation of system power sales revenue and assessment cost,then the battery loss cost is increased.The method of optimizing the system capacity by taking the maximum net present value as the goal can reduce assessment cost and battery loss cost,it can also increase the system power sales revenue and maximum net present value,and improve power quality.
作者
苏彦龙
杨君
翁宇游
王玉玲
胡雨
潘士通
SU Yanlong;YANG Jun;WENG Yuyou;WANG Yuling;HU Yu;PAN Shitong(Beijing SGITG Accenture Information Technology Co.,Ltd.,Beijing 100052,China;State Grid Fujian Electric Power Co.,Ltd.Electric Power Research Institute,Fuzhou 350007,Fujian,China)
出处
《电气传动》
2024年第6期60-66,共7页
Electric Drive
基金
国网福建省科技项目(SGFJDK00SZXX2200117)。
关键词
全寿命周期
光储电站
储能系统优化
最大净现值
电能质量
the whole life cycle
photovoltaic-storage power station
energy storage system optimization
maximum net present value
power quality
