通过预防性控制和虚拟振荡器来提高电力系统在极端天气条件下的弹性
Chenghao Li1, Di Zhang1, Ji Han2
1Electric Power Research Institute of State Grid Henan Electric Power Company, Zhengzhou 450000, China.
Sensors (Basel, Switzerland)
|March 28, 2024
概括
本研究引入了一种新方法,用于提高极端天气期间的电力系统弹性,使用先进的故障预测和虚拟振荡器 (VO) 控制. 与传统方法相比,虚拟振荡器控制策略显著提高了频率稳定性.
科学领域:
- 电气工程 电气工程
- 电力系统工程 电力系统工程
- 控制系统 控制系统
背景情况:
- 极端天气事件对电力系统的稳定性和可靠性构成重大威胁.
- 传统的频率控制方法往往难以应对快速干扰并实现快速稳定.
研究的目的:
- 开发一种多层次的操作方法,以提高电力系统对极端天气的抵御力.
- 提高电力系统频率调节和故障预测的速度和准确性.
主要方法:
- 一种用于预测极端天气期间电力系统故障之间的时间间隔的新型模型.
- 在故障发生之前,考虑系统升级和传输限制的预防性控制策略.
- 基于虚拟振荡器 (VO) 的自适应频率控制策略.
主要成果:
- 准确预测线路故障发生时间,最大误差为3分钟.
- 虚拟振荡器控制 (VOC) 在2秒内实现了频率稳定.
- 挥发性有机物表现优于传统的垂落控制,其表现出超过20秒的波动.
结论:
- 拟议的方法在极端天气条件下提高了电力系统的弹性和可靠性.
- 虚拟振荡器控制在频率稳定和控制方面表现出优越的有效性,相比下降控制.
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