极端天气对碳中和电力系统运行方案的影响:四川省 2060 年案例研究

IF 9 1区 工程技术 Q1 ENERGY & FUELS
Weiqi Li , Weijia Yang , Fan Zhang , Shuang Wu , Zheng Li
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引用次数: 0

摘要

日益频繁和剧烈的气候变化事件对电力供应和消费的影响已成为许多国家关注的问题。本研究通过对四川电网的实证案例研究,评估了极端天气对电力系统经济性和安全性的影响,以解决碳中和情景下不同极端天气事件带来的不确定性。首先,本文通过联合考虑负荷曲线和可再生能源出力曲线的区域小时差异,提出了四季典型日的 CNPSSO 模型。然后,该模型在各种情景分析的基础上,创造性地引入了极端天气对电力供需曲线的影响。基于优化模型,利用各种发电技术提供了最具成本效益的输出策略。最后,选择以水电为主的四川省作为实证案例进行研究。研究结果表明,极端天气对四川电力系统的每小时运行和调度方案有很大影响。与 "正常天气情况 "相比,水电的比例从 83.3% 骤降至 46.1%,而抽水蓄能在夏季极端炎热和干燥天气下激增了 71 亿千瓦时。在干燥情景、极度炎热干燥情景和极度寒冷情景下,进口电力分别增加 24.4%、30.5% 和 24.8%。此外,极端天气还会增加碳排放(主要来自火力发电和进口电力)和成本。具体而言,与正常天气相比,极端干旱、极端高温干旱和极端寒冷分别导致碳排放量增加 32.9%、33.5% 和 12.3%。在平准化电力成本(LCOE)方面,"极端干旱情景"、"极端高温干旱情景 "和 "极端寒冷情景 "分别导致平准化电力成本增加 7.2%、9.2% 和 4.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extreme weather impact on carbon-neutral power system operation schemes: A case study of 2060 Sichuan Province
The impact of increasingly frequent and intense climate change events on power supply and consumption has become a concern for many countries. This study evaluated the impact of extreme weather on the power system economy and security by conducting an empirical case study of the Sichuan power network to address uncertainty attributed to different extreme weather events under carbon neutrality scenarios. First, our paper proposed a CNPSSO model of four seasonal typical days by jointly considering the regional hourly disparities of load curves and renewable power output curves. Then, the model creatively introduced the effects of extreme weather on the power supply and demand curves based on various scenario analyses. The most cost-effective output strategy using various generation technologies was provided based on optimization models. Finally, Sichuan Province, a hydropower-dominated province was selected as an empirical case study. The results indicate that extreme weather significantly affects the hourly operational and dispatching schemes of Sichuan's power system. Compared to the "Normal weather scenario”, hydropower's share plummets from 83.3 % to 46.1 %, while pumped storage surges 7.1 billion kWh in summer in extremely hot and dry weather. Imported electricity rises by 24.4 %, 30.5 % and 24.8 % in dry scenario, extremely hot and dry scenario, and extremely cold scenario, respectively. Furthermore, extreme weather increases carbon emissions (mainly from thermal power and imported electricity) and costs. Specifically, when juxtaposed against normal weather, extreme drought, extreme heat drought and extremely cold lead to respective increases in carbon emissions by 32.9 %, 33.5 %, and 12.3 %. Regarding the levelized cost of electricity (LCOE), "Extremely dry scenario”, "Extremely hot and dry scenario”, and "Extremely cold scenario” drive up the LCOE by 7.2 %, 9.2 %, and 4.2 %, respectively.
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来源期刊
Energy
Energy 工程技术-能源与燃料
CiteScore
15.30
自引率
14.40%
发文量
0
审稿时长
14.2 weeks
期刊介绍: Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics. The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management. Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.
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