含高渗透新能源电力系统中考虑变时段控制的火/储/荷日前优化调度

Day-ahead Optimal Dispatch of Thermal/Storage/Load Systems Considering Variable Time Period Control in Power System With High Penetration of New Energy

新能源高渗透电力系统中以风电、光伏为代表的新能源具有的不确定性,使得火电机组难以满足调度计划的精度需求。为提高火电机组调度计划的准确性,提出考虑变时段控制的新能源高渗透电力系统中火/储/荷日前优化调度策略:首先使用高斯混合模型将净负荷按时序特性聚类成3种时段类型,然后按各时段特点设计火-储-荷的变时段控制规则以优化日前调度,利用需求响应优化抽水蓄能电站利用率;其次以系统总成本最小为目标,综合考虑所提策略形成的各类型机组约束建立火-储-荷调度模型,形成火-储-荷的日前调度计划;最后通过算例分析验证所提策略的有效性。

The uncertainty of the new energy represented by wind power and photovoltaics in the new energy high penetration power system makes it difficult for the thermal power units to meet the accuracy requirements of the dispatching plan. In order to improve the accuracy of the thermal power unit dispatching plan, a day-ahead optimal dispatching strategy is proposed for the thermal-storage-load systems in a new energy high-penetration power system considering variable time period control. First, the Gaussian mixture model is used to cluster the net load into those in three types of time periods according to the time series characteristics. Then the variable time period control rules of the thermal-storage-load systems are designed according to the characteristics of each time period to optimize the day-ahead scheduling. The demand response is used to optimize the utilization rate of the pumped storage power station. Second, aiming at the minimum total system costs, a thermal-storageload scheduling model is established by comprehensively considering the constraints of various types of units formed by the proposed strategy, and a day-ahead scheduling plan of thermal-storage-load is formed. Finally, the effectiveness of the proposed strategy is verified by an example analysis.