Multi-Angle Reliability Evaluation of Grid-Connected Wind Farms with Energy Storage Based on Latin Hypercube Important Sampling

Weixin Yang, Yangfan Zhang, Yu Wang, Kai Liang, Hongshan Zhao and Ao Yang ()
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Weixin Yang: North China Electric Power Research Institute Co., Ltd., Beijing 100045, China
Yangfan Zhang: North China Electric Power Research Institute Co., Ltd., Beijing 100045, China
Yu Wang: North China Electric Power Research Institute Co., Ltd., Beijing 100045, China
Kai Liang: North China Electric Power Research Institute Co., Ltd., Beijing 100045, China
Hongshan Zhao: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Ao Yang: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China

Energies, 2023, vol. 16, issue 18, 1-18

Abstract: Aiming to combat the problems of slow speed and poor accuracy of reliability evaluation of the power system in wind farms with energy storage, this paper proposes a method of reliability evaluation based on Latin hypercube important sampling (LHIS). Firstly, we aimed to establish the Latin hypercube important sampling evaluation model by combining the Latin hypercube sampling method with the important sampling method. Secondly, we aimed to optimize the sample probability distribution of the components and conduct hierarchical sampling of the system. Then, the comprehensive risk indicator (CRI) was proposed to evaluate the operational risk and the wind storage generation interrupted energy benefit (WSGIEB) was proposed to evaluate the contribution of the reliability. Finally, simulation experiments were carried out through various power system operation scenarios. The simulation results show that the proposed method is 47% higher than the improving importance sampling method (IM-IS) in evaluation speed and 33% higher than the improving importance sampling method in calculation accuracy.

Keywords: energy storage system; wind farm grid connection; Latin hypercube importance sampling; power grid reliability assessment; multi-angle evaluation indicator (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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