基于电力大数据的用户储能最优配置

Optimal Configuration of Customer Energy StorageBased on Power Big Data

以地区电力用户为研究对象,开展储能投资潜力分析。以用户投资储能的全寿命周期收益最高和最快回收成本建立目标函数,基于电力大数据排查适合投资的储能用户并计算容量配置,根据目标约束函数,结合当下储能相关参数和电价情况,得到营利用户储能配置容量的边界值,筛选出用户容量大于配置容量的用户,即为可发展储能配置的潜在用户。继而构建磷酸铁锂电池测算模型,通过对潜在用户可调资源的容量、时长以及效益测算,得到用户最优储能投资方案。采用配置储能电池和分时电价相结合的方式进一步降低储能成本,得到更高的经济性。

Taking regional power users as the research object,the analysis of energy storage investment potentiality is carried out.The objective function is established based on the highest life-cycle return and the fastest cost recovery of the user’s investment in energy storage.Based on the big data of electric power,the suitable users for energy storage investment are identified and the capacity configuration is calculated.According to the objective constraint function,combined with the current energy storage related parameters and electricity price,the boundary value of profitable user energy storage configuration capacity is obtained.Screening out users with a user capacity greater than the configured capacity is a potential user for developing energy storage configurations.Then,a calculation model for lithium iron phosphate batteries is constructed,and the optimal energy storage investment plan for potential users is obtained by calculating the capacity,duration,and benefits of adjustable resources for potential users.The energy storage cost is further reduced and a higher economic efficiency is obtained through the combination of configuring energy storage batteries and time-of-use electricity prices.