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面向电网拓扑调度仿真的采样效率优化方法研究

  • Yingying Zhao
  • , Pusen Dong
  • , Tianchen Zhu
  • , Fan Li
  • , Yun Su
  • , Zhenying Tai
  • , Qingyun Sun
  • , Hang Fan*
  • *此作品的通讯作者
  • State Grid Shanghai Electric Power Company
  • Beihang University
  • North China Electric Power University

科研成果: 期刊稿件文章同行评审

摘要

To address the large simulation computational workload and low simulation speed caused by the scale and complexity of the new power system, a simulation acceleration method for topology scheduling based on the distributed and quantization mechanisms is proposed. The parallelization of topology scheduling models is used to increase the scale of data simulation sampling in unit time. The introduced quantization operators accelerate the computation speed of the topology scheduling model operators, reduces the time cost of the every single simulation. Case studies confirm the effectiveness of the topology simulation acceleration, in which the available transfer capacity of the simulated power system increases by approximately 2 times in unit time and achieves the simulation acceleration by 1.5~ 2.5 times in various-scale power grid scenarios.

投稿的翻译标题Efficiency Optimization Method for Data Sampling in Power Grid Topology Scheduling Simulation
源语言繁体中文
页(从-至)283-295
页数13
期刊Xitong Fangzhen Xuebao / Journal of System Simulation
36
2
DOI
出版状态已出版 - 15 2月 2024

关键词

  • DRL
  • model quantization
  • power grid digital twin
  • sampling efficiency optimization
  • topology scheduling simulation

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