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紧急功率支援下自适应重合闸附加稳定控制策略
引用本文:李振兴,张萌萌,万佳灵,翁汉琍,李振华,佘双喜.紧急功率支援下自适应重合闸附加稳定控制策略[J].电力系统保护与控制,2023,51(10):78-87.
作者姓名:李振兴  张萌萌  万佳灵  翁汉琍  李振华  佘双喜
作者单位:1.三峡大学电气与新能源学院,湖北 宜昌 443002;2.梯级水电站运行与控制湖北省重点实验室(三峡大学), 湖北 宜昌443002;3.国网湖北省电力有限公司咸宁供电公司,湖北 咸宁 437100
基金项目:国家自然科学基金项目资助(52077120)
摘    要:能源分布和负荷需求逆向分布特征促成了我国形成多个大规模电力电能外送系统,在非预期大扰动下会出现系统首摆失稳且自适应重合闸仍难以改善系统稳定性的局面。基于此,提出了一种紧急功率支援下自适应重合闸附加稳定控制策略。首先分析了系统首摆失稳的场景以及失稳条件,并提出了基于功角超实时预测的首摆稳定性预判方法,论证了长时间要求的预测最优阶数。然后结合直流通道提供紧急功率支援能够消纳系统不平衡能量,提出基于超前预控的自适应重合闸附加稳定控制策略。结合失稳判断,分析预判控制时序。基于紧急功率支援协同最佳重合闸时间最大程度上减小了系统功角摇摆,解决了瞬时性故障首摆失稳时重合闸方案的缺失问题。最后,基于PSCAD/EMTDC建立大规模电力外送模型,仿真验证了所提自适应重合闸附加稳定控制策略的有效性。

关 键 词:大规模电力外送系统  功角超实时预测  首摆稳定性预判  紧急功率支援  最佳重合闸时间
收稿时间:2022/7/29 0:00:00
修稿时间:2022/9/6 0:00:00

Adaptive reclosure additional stability control strategy with emergency power support
LI Zhenxing,ZHANG Mengmeng,WAN Jialing,WENG Hanli,LI Zhenhu,SHE Shuangxi.Adaptive reclosure additional stability control strategy with emergency power support[J].Power System Protection and Control,2023,51(10):78-87.
Authors:LI Zhenxing  ZHANG Mengmeng  WAN Jialing  WENG Hanli  LI Zhenhu  SHE Shuangxi
Affiliation:1. College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China; 2. Key Laboratory of Operation and Control of Cascade Hydropower Station of Hubei Province (China Three Gorges University), Yichang 443002, China; 3. Xianning Power Supply Company, State Grid Hubei Electric Power Company, Xianning 437100, China
Abstract:The reverse distribution characteristics of energy distribution and load demand have contributed to the formation of multiple large-scale power and energy transmission systems in China. Under unexpected large disturbances, a first pendulum instability of the system will occur and the adaptive reclosure finds it difficult to improve system stability. Therefore an additional stability control strategy for adaptive reclosure under emergency power support is proposed. First, the scenario of system first pendulum instability and the instability conditions are analyzed, and the prediction method of the first pendulum stability based on the ultra-real-time prediction of power angle is established, and the optimal prediction order required for a long period is demonstrated. Further, combined with the DC channel to provide emergency power support to absorb the unbalanced energy of the system, the adaptive reclosure additional stability control strategies based on advanced pre-control are given. From the results of instability judgment, the predictive control timing is elucidated. The emergency power support based on optimal reclosure time reduces the power angle pendulum of the system to the greatest extent. This solves the problem of the lack of a reclosure scheme when the first pendulum of the transient fault is unstable. Finally, a large-scale power transmission model is established based on PSCAD/EMTDC, and the effectiveness of the proposed adaptive reclosure additional stability control strategy is verified by simulation.
Keywords:large-scale power delivery system  ultra-real-time prediction of power angle  stability prediction of first pendulum  emergency power support  optimal reclosure time
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