Scholarlink

<p>The paradigm shift from "source-follow-load" to integrated "source-grid-load" power systems escalates operational risks for virtual power plants (VPPs), necessitating resilient architectures against low-probability, high-impact disruptions. This study proposes a network resilience assessment framework integrating three dimensions: multilayer network construction, extreme event simulation, and multicriteria quantification. Our methodology combines heterogeneous network modelling with varied coupling strategies to identify resilience-optimal topologies. A hybrid analytical approach fuses node criticality assessment and Monte Carlo sampling, enabling concurrent evaluation of component vulnerability and system survivability. Macroscopic structural robustness metrics are synergistically combined with microscopic failure propagation indices to establish comprehensive resilience benchmarks. Experimental validation on standard test systems confirms the framework's efficacy in quantifying resilience trade-offs and informing robust VPP configurations. This work bridges theoretical resilience modelling with practical requirements for next-generation power infrastructure.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Virtual power plant information-physical convergence network construction and its resilience assessment

  • 期刊论文

  • 发表日期：

    2026年1月9日

查看全文
  • Yue Meng,
  • Hongli Zhang,
  • Xinkai Li

摘要

The paradigm shift from "source-follow-load" to integrated "source-grid-load" power systems escalates operational risks for virtual power plants (VPPs), necessitating resilient architectures against low-probability, high-impact disruptions. This study proposes a network resilience assessment framework integrating three dimensions: multilayer network construction, extreme event simulation, and multicriteria quantification. Our methodology combines heterogeneous network modelling with varied coupling strategies to identify resilience-optimal topologies. A hybrid analytical approach fuses node criticality assessment and Monte Carlo sampling, enabling concurrent evaluation of component vulnerability and system survivability. Macroscopic structural robustness metrics are synergistically combined with microscopic failure propagation indices to establish comprehensive resilience benchmarks. Experimental validation on standard test systems confirms the framework's efficacy in quantifying resilience trade-offs and informing robust VPP configurations. This work bridges theoretical resilience modelling with practical requirements for next-generation power infrastructure.