基于电力计量大数据的电源规划研究

Research on Generation Planning Based on Big Data of Electricity Metering

传统的电源规划方法已经难以满足大型风电并网系统对安全稳定性的要求。针对这一问题,运用大数据技术对风电出力信息充分挖掘,实现对并网风电波动风险的定量分析。在此基础上,建立以风电穿透功率最大和并网风险最小为目标的大型风电基地电源规划数学模型,并应用讨价还价博弈理论算法对该双目标模型进行求解。最后以某含风电地区电力系统为算例,验证提出的基于电力计量大数据的电源规划方法的正确性。

It has been difficult for the traditional power grid planning to meet the requirements of the safety for large-scale wind power system.To solve this problem,the information of wind power output is fully exploited using big data technology,and the quantitative analysis of wind power fluctuation risk is achieved.On this basis,the source-network-load coordinated planning model is established taking maximum wind power penetration and minimum grid-connected risk as the object,and game theory is applied to the twin goals of bargaining to solve it.Finally,taking a power system with wind power in the northwest region for example,the correctness of the proposed coordinated generation planning method based on big data of electricity metering is verified.