徐程炜,周天皓,周子青,杨滢,魏炜,王业舟
XU Chengwei,ZHOU Tianhao,ZHOU Ziqing,YANG Ying,WEI Wei,WANG Yezhou

• 1:国网浙江省电力有限公司电力科学研究院
• 2:中国能源建设集团浙江省电力设计院有限公司
• 3:智能电网教育部重点实验室(天津大学)

摘要(Abstract)：

电网检修、运行方式调整、设备投运等因素会造成电力现货市场长周期仿真过程中电网拓扑动态变化，若网架每次发生变动均重新搭建完整电网模型，将显著降低长周期仿真运算效率。为此，基于3种典型场景下的转移因子快速修正方法，提出以广义支路闭合为基本操作单元的统一表征框架，建立通用的广义支路闭合表征模型，将原本需要分别处理的多种复杂拓扑变化场景等效转化为单一支路闭合操作的组合；在此基础上，构建计及电网拓扑动态变化的长周期仿真流程，实现拓扑时变特性与长时间尺度市场仿真的深度融合。算例分析结果表明，所提方法在不同规模电网及不同拓扑变化幅度下均具备高效稳定的计算性能，且电网规模越大其效率优势越明显。
Grid maintenance, operating mode adjustments, and equipment commissioning may lead to dynamic changes in grid topology during long-term electricity spot market simulations. Rebuilding a complete power grid model whenever the grid topology changes significantly reduces the computational efficiency of long-term market simulations. To address this issue, this paper proposes a unified representation framework based on fast shift factor updating methods for three typical scenarios, with generalized branch closing serving as the basic operational unit. A generalized branch closing representation model is established to equivalently transform various complex topologychange scenarios that would otherwise require separate treatment into combinations of single branch-closing operations. On this basis, a long-term simulation workflow considering dynamic changes in grid topology is developed, enabling effective integration of time-varying topological characteristics with long-timescale market simulation. Numerical case studies demonstrate that the proposed method delivers efficient and stable computational performance across power grids of different scales and under different extents of topology change. Moreover, its computational efficiency advantage becomes increasingly pronounced as the grid scale increases.

关键词(KeyWords)： 电力现货市场;长周期仿真;电网动态演化;转移因子;广义支路闭合
electricity spot market;long-term simulation;dynamic changes in grid topology;shift factor;generalized branch closing

Abstract:

Keywords:

基金项目(Foundation): 天津市自然科学基金（52277119）

作者(Author): 徐程炜,周天皓,周子青,杨滢,魏炜,王业舟
XU Chengwei,ZHOU Tianhao,ZHOU Ziqing,YANG Ying,WEI Wei,WANG Yezhou

DOI: 10.19585/j.zjdl.202608003

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