面向电网拓扑调度仿真的采样效率优化方法研究  

Efficiency Optimization Method for Data Sampling in Power Grid Topology Scheduling Simulation

作　　者：赵莹莹 董普森 朱天晨 李凡 苏运 邰振赢 孙庆赟 凡航 Zhao Yingying;Dong Pusen;Zhu Tianchen;Li Fan;Su Yun;Tai Zhenying;Sun Qingyun;Fan Hang(State Grid Shanghai Electrical Power Research Institute,Shanghai 200437,China;State Grid Shanghai Municipal Electric Power Company,Shanghai 200125,China;Beihang University,Beijing 100191,China;North China Electric Power University,Beijing 100096,China)

机构地区：[1]国网上海市电力公司电力科学研究院,上海200437 [2]国网上海市电力公司,上海200125 [3]北京航空航天大学,北京100191 [4]华北电力大学,北京100096

出　　处：《系统仿真学报》2024年第2期283-295,共13页Journal of System Simulation

基　　金：国网上海市电力公司科技项目(B3094022000D);上海电力人工智能工程技术研究中心研究项目(19DZ2252800)。

摘　　要：为解决新型电力系统的规模性与复杂性导致的仿真计算量较大,仿真速度相对变缓的问题,提出了一种基于分布式与量化机制的拓扑调度仿真加速方法。通过拓扑调度模型的并行,增大了单位时间内数据仿真采样的规模;引入了量化算子,加快拓扑调度模型算子计算,减少单次仿真的时间成本。算例分析验证了拓扑仿真加速的有效性,在单位时间内将仿真电力系统的可用传输容量提升了约2倍,并在不同规模电网算例实现了1.5~2.5倍的仿真加速。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.

关 键 词：拓扑调度仿真 深度强化学习 采样效率优化 模型量化 电网数字孪生 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TM769[自动化与计算机技术—计算机科学与技术]