Reliability-Driven SOP Siting and Sizing Under Multi-Line Failure Scenarios in Resource-Complementary Island Microgrids

IF 5.3 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Transactions on Sustainable Computing Pub Date : 2026-03-01 Epub Date: 2026-03-12 DOI:10.1109/TSUSC.2026.3673142
Ziyao Wang;Yingrui Zhao;Wei Chen;Yusi Cheng;Jimmy Chih-Hsien Peng
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Abstract

Island microgrids face major challenges arising from the spatial mismatch between renewable generation and load centers as well as their heightened susceptibility to line failures. Traditional strategies such as full-line reinforcement are often impractical for islands due to the extremely high investment cost. This paper proposes a reliability-driven planning framework for microgrids under various failure scenarios, introducing Soft Open Points (SOPs) as flexible interconnection devices. Line failure rates are estimated based on component health indices and submarine cable lengths, and a scenario-based mixed-integer linear programming (MILP) model is developed to jointly optimize distributed energy resource scheduling and SOP siting and sizing. The proposed framework is validated on the Orkney Islands microgrid. Case studies demonstrate that optimal SOP deployment can reduce load shedding and renewable curtailment, improve voltage profiles, and lower total operational costs by over 50%, without the need for large-scale infrastructure upgrades. The results provide practical insights into enhancing the reliability and cost-effectiveness of island microgrids under reliability constraints.
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资源互补型孤岛微电网多线路故障情景下可靠性驱动SOP选址与规模研究
岛屿微电网面临的主要挑战是可再生能源发电和负荷中心之间的空间不匹配,以及它们对线路故障的高度敏感性。传统的策略,如全线加固往往不切实际的岛屿,由于极高的投资成本。本文提出了微电网在各种故障情况下的可靠性驱动规划框架,并引入软开放点(sop)作为柔性互联设备。基于组件健康指数和海底电缆长度估算线路故障率,建立基于场景的混合整数线性规划(MILP)模型,共同优化分布式能源调度和SOP选址规模。提议的框架在奥克尼群岛微电网上得到了验证。案例研究表明,优化的SOP部署可以减少减载和可再生能源弃电,改善电压分布,并将总运营成本降低50%以上,而无需大规模的基础设施升级。研究结果为在可靠性约束下提高孤岛微电网的可靠性和成本效益提供了实践见解。
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来源期刊
IEEE Transactions on Sustainable Computing
IEEE Transactions on Sustainable Computing Mathematics-Control and Optimization
CiteScore
7.70
自引率
2.60%
发文量
54
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