浙江电力

2025, v.44;No.349(05) 66-75

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基于时序运行模拟的新能源电力系统典型场景生成方法
A typical scenario generation method for renewable energy power systems based on time-sequenced operational simulations

彭竹弈,宋杉,许偲轩,顾康慧,葛毅,王荃荃,孙文涛
PENG Zhuyi,SONG Shan,XU Sixuan,GU Kanghui,GE Yi,WANG Quanquan,SUN Wentao

摘要(Abstract):

传统基于源荷信息的聚类方法难以准确描述新能源电力系统的时序运行特征。为此,考虑电力系统交流潮流分布和机组启停策略,提出一种基于时序运行模拟的新能源电力系统典型场景生成方法。首先,构建计及交流潮流约束的机组组合模型,采用基于二阶锥松弛的两阶段求解策略,在多时段最优潮流模型中开展8 760 h时序模拟;其次,根据时序模拟结果的新能源出力水平、线路阻塞情况、机组启停情况等数据特征,采用改进的K-means算法提取典型场景;最后,通过算例分析验证提出方法的有效性,为新能源电力系统规划和调度提供参考依据。
Traditional clustering methods based on source-load information struggle to accurately describe the timesequenced operational characteristics of renewable energy power systems. To address this, a typical scenario generation method for renewable energy power systems based on time-sequenced operational simulations is proposed, considering both the AC power flow distribution and startup-shutoff strategies for units. Firstly, a unit combination model that incorporates AC power flow constraints is constructed, and a two-stage solution strategy based on secondorder cone relaxation is adopted to perform 8,760-hour time-sequenced simulations in the multi-period optimal power flow model. Secondly, based on data characteristics such as renewable energy output levels, line congestion conditions, and unit startup-shutoff from the time-sequenced simulation results, an improved K-means algorithm is employed to extract typical scenarios. Finally, the validity of the proposed method is verified through a case study, providing a reference for renewable energy power system planning and scheduling.

关键词(KeyWords): 全时序运行模拟;最优潮流;机组组合;二阶锥松弛;典型场景
full-time sequence simulation;optimal power flow;unit combination;second-order cone relaxation;typical scenario

Abstract:

Keywords:

基金项目(Foundation): 国网江苏省电力有限公司科技项目(J2023149)

作者(Author): 彭竹弈,宋杉,许偲轩,顾康慧,葛毅,王荃荃,孙文涛
PENG Zhuyi,SONG Shan,XU Sixuan,GU Kanghui,GE Yi,WANG Quanquan,SUN Wentao

DOI: 10.19585/j.zjdl.202505007

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