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基于区域的联网微电网极端天气韧性评估与量化方法

Region-Based Resilience Evaluation and Quantification Method for Networked Microgrids Under Extreme Weather

作者 Yijie Hu · Zhihao He · Gang Huang · Licheng Wang · Chuangxin Guo · Zuyi Li
期刊 IEEE Transactions on Industry Applications
出版日期 2025年10月
卷/期 第 62 卷 第 2 期
技术分类 系统集成
技术标签 微电网 储能变流器PCS 构网型GFM 调峰调频
相关度评分 ★★★★★ 5.0 / 5.0
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中文摘要

针对极端天气下联网微电网(NMGs)韧性评估缺乏运行安全裕度表征的问题,本文提出网络化微电网韧性区域(NMRR)概念,通过投影多故障重构场景下的可行域至可调度变量空间,并设计外渐进逼近算法高效求解,支撑主动调度决策。

English Abstract

The resilience level of networked microgrids (NMGs) has become a critical topic due to the increasing frequency of extreme weather events and the growing integration of renewable energy sources. Existing resilience evaluation and quantification methods primarily employ performance curve-based metrics or graph theory-based metrics. However, metrics such as expected load shedding or other outcome-based indices often fail to capture the security margin of current operating points, offering limited guidance for operators during extreme events. To address this gap, this paper proposes a region-based resilience evaluation and quantification method for NMGs that enables more intuitive resilience assessment and supports proactive dispatch. Specifically, the concept of the networked microgrids resilience region (NMRR) is introduced. The NMRR is constructed by projecting the intersection of feasible regions under all foreseeable failure-induced topology reconfiguration scenarios onto dispatchable variables accessible to system operators. A theoretical derivation of the NMRR’s analytical expression is provided. To efficiently compute the NMRR within dispatch timescales, an outer progressive approximation algorithm is developed. Two NMRR-based metrics are then proposed to quantify the resilience level of NMGs and the security margin of operating points, offering actionable dispatch insights. Case studies show that the proposed method aligns with traditional resilience indices while offering greater intuitiveness and operational relevance.
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SunView 深度解读

该方法高度契合阳光电源PowerTitan、PowerStack等构网型储能系统在极端天气下的韧性运行需求,可直接赋能iSolarCloud平台实现NMRR在线可视化与调度建议生成。建议将NMRR算法嵌入ST系列PCS的本地能量管理模块,提升光储柴氢多源协同系统的黑启动能力与故障后快速恢复性能,强化工商业及地面电站场景下‘源网荷储’一体化韧性管控。