Scholarlink

<p>In recent years, the increasing frequency of extreme natural disasters has significantly exposed the vulnerability of distribution networks. To address this challenge, this study proposes a resilience enhancement strategy that integrates 5G base stations with multiple flexible resources. First, a disaster scenario modeling framework is developed by considering typhoon wind speed, line outage probability, and renewable generation curtailment, and representative scenarios are extracted using Latin Hypercube Sampling (LHS) and K-means++ clustering. Subsequently, a coordinated optimization model is established with the objectives of minimizing critical load loss and economic cost, in which the energy storage of 5G base stations is utilized not only to guarantee communication loads but also to participate in system dispatch. Meanwhile, distributed generation, electric vehicles, and mobile energy storage systems are coordinately scheduled, combined with network reconfiguration to achieve complementary utilization of multiple resources. The bi-objective problem is then reformulated into a mixed-integer second-order cone programming (MISOCP) model using second-order cone relaxation and the weighted-sum method, and efficiently solved. Finally, case studies conducted on a modified IEEE 33-bus system demonstrate that, compared with uncoordinated operation under extreme disaster conditions, the proposed strategy reduces critical load loss by 84.6%, decreases economic losses by 76.9%, and improves the comprehensive objective value by 83.7%. Furthermore, by coordinating 5G base stations with mobile energy storage to support islanded areas, the overall comprehensive objective is further improved by 89.1%.</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

Resilience enhancement strategies for distribution networks considering the coordination of 5G base stations and multiple flexible resources

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月16日

查看全文
  • Hui Wang,
  • Jiazheng Ge,
  • Yiqiong Zhao,
  • Jun GU,
  • Chenggang Li,
  • Chen Liu

摘要

In recent years, the increasing frequency of extreme natural disasters has significantly exposed the vulnerability of distribution networks. To address this challenge, this study proposes a resilience enhancement strategy that integrates 5G base stations with multiple flexible resources. First, a disaster scenario modeling framework is developed by considering typhoon wind speed, line outage probability, and renewable generation curtailment, and representative scenarios are extracted using Latin Hypercube Sampling (LHS) and K-means++ clustering. Subsequently, a coordinated optimization model is established with the objectives of minimizing critical load loss and economic cost, in which the energy storage of 5G base stations is utilized not only to guarantee communication loads but also to participate in system dispatch. Meanwhile, distributed generation, electric vehicles, and mobile energy storage systems are coordinately scheduled, combined with network reconfiguration to achieve complementary utilization of multiple resources. The bi-objective problem is then reformulated into a mixed-integer second-order cone programming (MISOCP) model using second-order cone relaxation and the weighted-sum method, and efficiently solved. Finally, case studies conducted on a modified IEEE 33-bus system demonstrate that, compared with uncoordinated operation under extreme disaster conditions, the proposed strategy reduces critical load loss by 84.6%, decreases economic losses by 76.9%, and improves the comprehensive objective value by 83.7%. Furthermore, by coordinating 5G base stations with mobile energy storage to support islanded areas, the overall comprehensive objective is further improved by 89.1%.