风电场可靠性评估的简化等效方法

Zece Zhang, Xiuli Wang, Zechen Wu, Tianshi Shen
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引用次数: 1

摘要

对于仅由传统发电机组成的电力系统,由于发电机可以看作是一个双态模型,因此用蒙特卡罗仿真方法易于对其可靠性进行评估。但由于风的随机性和间歇性,在大规模风力发电的电力系统中,不能将风力发电机组视为双状态模型。然而,本文提出了一种简化的风电场可靠性评估等效方法,并将由不同类型和数量的WTG组成的大型风电场在可靠性评估意义上转化为仅一台等效发电机。将传统算法中的基本参数平均故障时间(MTTF)和平均修复时间(MTTR)替换为平均振动时间(MTTS)和等效平均修复时间(EMTTR)。改进后的RTS79系统验证了该方法的有效性。利用该等效方法计算了EENS和LOLE等可靠性指标,并与传统的蒙特卡罗仿真结果进行了比较。本文为简化风电机组群模型提供了一种新的思路,对考虑大规模风电并网的电力系统可靠性评估具有一定的指导作用。
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A simplified equivalent method of wind farm for reliability evaluation
The power system that only consists of traditional generators is easy to assess the reliability using Monte Carlo simulation because the generator can be seen as a two-state model. But the wind turbine generator cannot be treated as a two-state model in a power system with large scale wind power for the randomness and intermittent of wind. However, a simplified equivalent method of wind farm for reliability evaluation is proposed in this paper and used to turn a large scale wind farm that consists of different types and numbers of WTG to just one equivalent generator in the sense of reliability evaluation. The basic parameters in traditional algorithm such as the mean time to failure (MTTF) and the mean time to repair (MTTR) are replaced by the mean time to shake (MTTS) and the equivalent mean time to repair (EMTTR). The validity of the method is proved by the improved RTS79 system. The reliability index like EENS and LOLE are calculated using this equivalent method and its outcome are compared to that using traditional Monte Carlo simulation. This paper provide a new thought to simplify the model of wind turbines group and has some guiding effects on the power system reliability assessment considering large-scale wind power integration.
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