智能城市弹性电网

iEnergy Pub Date : 2022-09-01 DOI:10.23919/IEN.2022.0043
Yonghua Song;Can Wan;Xuejun Hu;Hongpei Qin;Kengweng Lao
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引用次数: 7

摘要

现代电网在智慧城市运行中发挥着基础性作用。然而,高影响、低概率的极端事件给城市电网安全带来了严峻挑战。随着人们对这些威胁的日益关注,城市电网的恢复能力已成为现代智能城市的优先课题。一个有弹性的电网可以抵御、适应并及时从中断中恢复。它有四个特点,即预期、吸收、适应和恢复。本文旨在系统研究智能城市弹性电网的发展。首先,本文对影响电网的高影响低概率极端事件类别进行了综述,可分为极端天气和自然灾害、人为恶意攻击和社会危机。然后,讨论了弹性评估框架和量化指标。此外,现有的各种弹性增强策略,基于微电网、主动配电网、集成和多能源系统、分布式能源和柔性资源、网络物理系统,以及一些弹性增强方法,包括概率预测和分析、人工智能驱动方法,并对其他前沿技术进行了总结。最后,本文提出了城市电网弹性研究的进一步可能方向和发展,重点是电力电子化城市配电网、灵活的分布式资源聚合、网络物理社会系统、多能源系统、智能电力交通和人工智能以及大数据技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resilient power grid for smart city
Modern power grid has a fundamental role in the operation of smart cities. However, high impact low probability extreme events bring severe challenges to the security of urban power grid. With an increasing focus on these threats, the resilience of urban power grid has become a prior topic for a modern smart city. A resilient power grid can resist, adapt to, and timely recover from disruptions. It has four characteristics, namely anticipation, absorption, adaptation, and recovery. This paper aims to systematically investigate the development of resilient power grid for smart city. Firstly, this paper makes a review on the high impact low probability extreme events categories that influence power grid, which can be divided into extreme weather and natural disaster, human-made malicious attacks, and social crisis. Then, resilience evaluation frameworks and quantification metrics are discussed. In addition, various existing resilience enhancement strategies, which are based on microgrids, active distribution networks, integrated and multi energy systems, distributed energy resources and flexible resources, cyber-physical systems, and some resilience enhancement methods, including probabilistic forecasting and analysis, artificial intelligence driven methods, and other cutting-edge technologies are summarized. Finally, this paper presents some further possible directions and developments for urban power grid resilience research, which focus on power-electronized urban distribution network, flexible distributed resource aggregation, cyber-physical-social systems, multi-energy systems, intelligent electrical transportation and artificial intelligence and Big Data technology.
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