电力系统一致性识别和孤岛:实际限制和未来展望

IF 1.6 Q4 ENERGY & FUELS IET Energy Systems Integration Pub Date : 2022-09-06 DOI:10.1049/esi2.12081
Harold R. Chamorro, Edgar O. Gomez-Diaz, Mario R. A. Paternina, Manuel A. Andrade, Emilio Barocio, Jose L. Rueda, Francisco Gonzalez-Longatt, Vijay K. Sood
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引用次数: 7

摘要

电力系统不断升级为自动化程度更高的网络,能够识别和应对可能引发不良情况的不同事件。在惯性和阻尼水平不断降低的电力系统中,在扰动之后持续或不断增长的振幅阻尼不良的振荡可能最终导致不稳定并引发诸如停电之类的重大事件。此外,随着可再生能源发电的不断增加和相当大的份额,在提出针对不稳定机电(如衰铃)振荡的保护方案时,必须考虑前所未有的操作挑战。在紧急情况下,孤岛操作可以将电网分割成独立的小网络,以防止全面停电。由于这些变化,确定振荡相干的潜在类型和孤岛协议对于将持续更新过程纳入现有电力系统监测和控制任务是必要的。本文分析了现有的评估方法和孤岛协议,并基于最新的数据分析技术提出了一个更新的操作指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Power system coherency recognition and islanding: Practical limits and future perspectives

Electrical power systems are continuously upgrading into networks with a higher degree of automation capable of identifying and reacting to different events that may trigger undesirable situations. In power systems with decreasing inertia and damping levels, poorly damped oscillations with sustained or growing amplitudes following a disturbance may eventually lead to instability and provoke a major event such as a blackout. Additionally, with the increasing and considerable share of renewable power generation, unprecedented operational challenges shall be considered when proposing protection schemes against unstable electro-mechanical (e.g. ringdown) oscillations. In an emergency situation, islanding operations enable splitting a power network into separate smaller networks to prevent a total blackout. Due to such changes, identifying the underlying types of oscillatory coherency and the islanding protocols are necessary for a continuously updating process to be incorporated into the existing power system monitoring and control tasks. This paper examines the existing evaluation methods and the islanding protocols as well as proposes an updated operational guideline based on the latest data-analytic technologies.

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来源期刊
IET Energy Systems Integration
IET Energy Systems Integration Engineering-Engineering (miscellaneous)
CiteScore
5.90
自引率
8.30%
发文量
29
审稿时长
11 weeks
期刊最新文献
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