Assessment of the influence of climate change on power grid transmission capacity

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS
Montaña-Salas Sergio, Michiorri Andrea
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引用次数: 0

Abstract

In order to propose effective solutions to mitigate the effects of climate change on the electrical power system, it is essential to have a comprehensive understanding and quantification of the relevant issues. This article explores the impact of climate on transmission network capacity, employing established thermal models and a regional expansion plan, fed by historical and climatic projections on a 0.25° grid resolution over the European continent. The results indicate that, under the high greenhouse gas emissions scenario (RCP 8.5), the area studied will experience average reductions of 1.53%, 2.1%, and 0.2% capacity by 2070, for overhead lines, power transformers, and underground cables, respectively. We propose a quasi-dynamic thermal rating method to estimate maximum capacity. This results in a capacity improvement of up to 22% for power transformers in winter and up to 17% for overhead lines during nighttime hours. This solution represents a viable alternative for electricity operators seeking to solve the dilemma of temperature-driven capacity reduction in the context of challenging network reinforcements.
气候变化对电网输送能力影响的评估
为了提出有效的解决方案来缓解气候变化对电力系统的影响,对相关问题有一个全面的认识和量化是必不可少的。本文探讨了气候对输电网容量的影响,采用已建立的热模型和区域扩展计划,以欧洲大陆0.25°电网分辨率的历史和气候预测为依据。结果表明,在高温室气体排放情景(RCP 8.5)下,到2070年,研究地区的架空线路、电力变压器和地下电缆的容量将分别平均减少1.53%、2.1%和0.2%。我们提出了一种准动态热评定方法来估计最大容量。这使得冬季电力变压器的容量提高了22%,夜间架空线路的容量提高了17%。该解决方案为电力运营商提供了一个可行的替代方案,以解决在具有挑战性的网络增强背景下,温度驱动的容量减少的困境。
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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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