增强电力-交通耦合网络对台风的抵御能力:多资源三阶段整合策略

IF 5.6 2区 工程技术 Q2 ENERGY & FUELS
Xianglong Lian, Lei Qiu, Chenkai Song, Lijun Liu, Zhezhuang Xu
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引用次数: 0

摘要

随着极端灾害事件的日益频繁和严重,提高城市电网的抗灾害能力变得至关重要。大多数研究都集中在配电网上,而没有考虑运输网络与配电网之间重要的耦合关系。本文通过提出一种结合柔性资源的电力运输耦合网络(ptn)的三级弹性改进方法来解决这一差距。该方法包括三个模型:(1)基于脆弱性防御指标的线路强化策略的预分配模型;(2)分析台风对PTN影响并使DN负荷减少最小化的故障响应模型;(3)通过线性规划优化的集成应急维修人员和移动储能的恢复模型。利用IEEE 33总线配电测试系统及其相应的TN对该方法的性能进行了评估,结果表明,采用该方法可以有效地增强PTN的弹性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing resilience of power-transportation coupled networks to typhoons: A tri-stage integration strategy of multi-resources
With the increasing frequency and severity of extreme disaster events, enhancing the resilience of urban power grids has become critical. Most studies focus on distribution networks (DNs) without considering the important coupling relationship between transportation networks (TNs) and DNs. This paper addresses this gap by proposing a tri-stage resilience improvement method for power–transportation coupled networks (PTNs), incorporating flexible resources. The approach includes three models: (1) a pre-allocation model with a line hardening strategy based on vulnerability index for defense, (2) a failure response model that analyzes the impact of typhoons on PTN and minimizes load reduction in the DN, and (3) a restoration model that integrates emergency repair crews and mobile energy storage, optimized via linear programming. The performance of the proposed method is evaluated using a PTN with the IEEE 33-bus distribution test system and its corresponding TN. Results demonstrate that the resilience of PTN can be enhanced effectively by applying the proposed tri-stage method.
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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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