基于大数据分析的大规模电网电源规划方法研究

Research on Large-scale Power Grid Power Planning Method Based on Big Data Analysis

为解决因电容错误配比而造成的电网扩展空间受限问题,实现对电网存储电量的按需配比调度,提出基于大数据分析的大规模电网电源规划方法。以电子配比电路作为待存储电量的原始输入端,确定必要的有效载荷能力条件,完成电源电网建模。在此基础上,建立目标规划函数,通过计算可靠性电源指标的方式,完成大规模电网电源规划方法的研究。结果表明,大数据分析型电源规划方法所能承载的电量容错值水平较高,能够有效解决因电容错误配比而造成的电网扩展空间受限问题,从而提升电网存储电量的按需配比调度准确性。

In order to solve the problem of limited space of grid expansion caused by wrong ratio of capacitance,and realize the dispatching of the storage power according to demand,a large-scale power supply planning method based on big data analysis is proposed.The electronic proportioning circuit is used as the original input of the electricity to be stored,and the necessary payload capacity conditions are determined and the power grid modeling is completed.On this basis,the objective planning function is established,and the research on the power planning method of large-scale power grid is completed by calculating the reliability power supply index.The results show that the power generation fault tolerance level of big data analysis power planning method is high,and it can effectively solve the problem of limited space of grid expansion caused by wrong ratio of capacitance,and improve the accuracy of power grid storage power dispatching on demand.