A Prediction Method of Wind Power In-Place Consumption Capacity. (June 2020)

• Record Type: Journal Article
• Authors: Chen, Xiaoguang; Hao, Wenbo; Guan, Wanlin; Hu, Yuanting; Cui, Jiapeng; Liu, Jin; Rong, Shuang
• Is Part Of: Journal of physics. Volume 1549:Number 5(2020)
• Publication Date: 2020-06
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1549/5/052024
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: In Heilongjiang Province, China, the generated wind power is mainly consumed in-place, the uncertainty of wind power variability and electric load lead the difficulty in wind power in-place consumption capacity prediction. In this paper a wind power in-place consumption capacity predition model based on scenario-markov chain simulation (SMCS) is proposed. The wind velocity and wind power output could be accurately predicted for the calculation of wind power in-place consumption capacity by the presented prediction model. The case study results of a real region power system verify effectiveness of the proposed model.