意大利输电系统中弹性导向规划的方法论

E. Ciapessoni, Diego Cirio Andrea Pitto, P. Faggian, G. Pirovano, F. Marzullo, F. Falorni, A. Lazzarini, Francesca Scavo
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引用次数: 1

摘要

在过去几年中,极端天气事件的频率和范围不断增加,要求输电网的规划和运营方法能够应对这些挑战,从而提高系统的弹性。在这方面,世界各地的输电和配电系统运营商已采取行动,通常是为了遵守监管机构制定的具体要求。本文介绍了由意大利TSO和RSE联合开发的一种基于风险的弹性评估方法,旨在捕捉电网加固干预带来的极端天气事件对系统弹性的好处,重点关注对意大利输电系统影响最大的两种威胁,即湿雪和风。最终目标是根据意大利能源监管机构对所有电力公司的要求,支持弹性增强计划的成本效益分析。一个重要的目标是将气候变化模型纳入电网规划,以及典型的规划驱动因素,即供应安全、市场效率和可再生能源整合。该案例研究集中在电网的一部分,证明了架空线路计算的停电恢复周期与从历史数据集得出的实际故障率之间的良好匹配,以及在分析两种威胁的情况下,成本效益分析在优先考虑强化干预措施方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Methodology for Resilience-oriented Planning in the Italian Transmission System
The increasing frequency and extension of extreme weather events in the last few years require transmission grid planning and operation approaches able to cope with these challenges, thus increasing system resilience. In this regard, initiatives have been launched by transmission and distribution system operators worldwide, often to comply with specific requirements set by regulators. This paper describes a risk-based resilience assessment methodology jointly developed by the Italian TSO and RSE aimed to capture the benefits for system resilience against extreme weather events, brought by grid hardening interventions, with a focus on the two most impacting threats for the Italian transmission system, namely wet snow and wind. The final objective is to support cost-benefit analyses in resilience-boosting plans, as required by the Italian energy regulating entity to all electric utilities. An important target is to include climate change modelling in grid planning, together with the typical planning drivers i.e. security of supply, market efficiency and renewable integration. The case study, focused on a portion of the grid, demonstrates the good matching between the outage return periods calculated for the overhead lines and the actual failure rates derived from historical datasets, as well as the effectiveness of the cost benefit analysis in prioritizing the hardening interventions in case of the two analysed threats.
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