考虑风电波动性的应急筛选与排序

Di Wang, Huaidong Liu, Lezhao Yi, Xiran Wang
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引用次数: 0

摘要

为了避免在应急筛选和排序中只考虑故障严重程度的问题,提出了一种基于概率不安全指数的应急排序方法。本文考虑了风电功率和负荷的随机性、经济性和波动性。并利用风电和负荷的概率密度函数对期望损失模型进行修正。首先,根据典型故障集确定动态安全区域和概率不安全指标;然后将风电和负荷的波动转化为发电机脱扣和减载的波动。最后,基于改进的期望损失模型,计算出故障集中各事件的期望损失所占的比例。然后用这个比例来筛选和排序意外事件。对新英格兰10机39母线系统的仿真结果表明,基于该方法可以合理、准确地筛选和排序事故。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contingency Screening and Ranking Considering Volatility of Wind Power
In order to avoid only considering seriousness of fault in contingency screening and ranking, a new method is proposed which is based on probabilistic insecurity index. In this paper, randomness, economy and volatility of wind power and load are considered. Besides, probability density functions of wind power and load are used to modify the model of expected loss. Firstly, according to typical fault set, dynamic security region and probabilistic insecurity index are determined. Then the volatility of wind power and load could be transformed into the volatility of generator trip and load shedding. Finally, based on modified model of expected loss, the proportion of expected loss of each contingency in fault set can be computed. Then use this proportion to screen and rank contingencies. Simulations on New England 10-generator 39-bus system show that based on this new method, contingencies could be screened and ranked rationally and accurately.
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