首页|极端灾害下提升电力数字孪生系统韧性的设备检修顺序优化决策方法

极端灾害下提升电力数字孪生系统韧性的设备检修顺序优化决策方法

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
极端灾害情况下，因设备损坏引起的电力数字孪生系统监测模块数据丢失、监测失效等情况极易发生，对电力物理实体系统的状态监测造成极大影响。文章针对极端灾害后电力数字孪生系统的监测设备开展检修方案问题进行优化。首先，分析了电力物理实体系统和数字孪生系统的构成及灾后二者的恢复方式;其次，分析了中央数据处理单元、通讯路由器以及同步向量测量单元的信息传递方式并再次基础上建立了设备恢复模型;再次，以最大化数字孪生系统监测能力为目标构建灾后设备恢复数学优化模型，并通过分枝定界法进行求解;最后通过对IEEE-14节点算例进行分析，验证文章所提方法的有效性，研究结果表面，本文所提分算法能够在资源有限的情况下尽快提升系统的观测能力，为电力系统的稳定运行和应急响应提供了有力支持。
Optimal decision-making method for equipment maintenance to enhance the resilience of power digital twin system under extreme disaster
Digital twins and the physical assets of electric power systems face the potential risk of data loss and monitoring failures owing to catastrophic events,causing surveillance and energy loss.This study aims to refine maintenance strategies for the monitoring of an electric power digital twin system post disasters.Initially,the research delineates the physical electric power system along with its digital counterpart and post-disaster restoration processes.Subsequently,it delves into communication and data processing mechanisms,specifically focusing on central data processing(CDP),communication routers(CRs),and phasor measurement units(PMUs),to re-establish an equipment recovery model based on these data transmission methodologies.Furthermore,it introduces a mathematical optimization model designed to enhance the digital twin system's post-disaster monitoring efficacy by employing the branch-and-bound method for its resolution.The efficacy of the proposed model was corroborated by analyzing an IEEE-14 system.The findings suggest that the proposed branch-and-bound algorithm significantly augments the observational capabilities of a power system with limited resources,thereby bolstering its stability and emergency response mechanisms.

Phasor measurement unitsThrough-sequence optimizationResilience enhancementCommunication networksDigital twins

高松、王伟、陈璟毅、吴欣昱、邵俊言

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Electric Power Scientific Research Institute,State Grid Jilin Electric Power Co,Ltd,Changchun,132000,P.R.China

Department of Electrical Engineering,Northeast Electric Power University,Jilin,132012,P.R.China

同步向量测量单元 贯序优化 韧性提升 通信网络 数字孪生

State Grid Jilin Province Electric Power Co,Ltd-Research and Application of Power Grid Resilience Assessment and Coordinated

B32342210001

2024

10.1016/j.gloei.2024.06.005

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CSTPCDEI
ISSN：2096-5117
年,卷(期)：2024.7(3)