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Rui-jing Shi, Xiao-chao Fan and Ying He
Renewable and Sustainable Energy Reviews, 2017, vol. 69, issue C, pages 461-471
Abstract: China's wind power installed capacity is the largest in the world, but the utilization of wind power equipment is not very good, far behind USA. In this paper, the development of China's wind power is reviewed, and the present wind power curtailment restricts the sound development of China's wind power industry. The characteristics of China's wind farm are summered. With the insatiability and intermittence, wind power is not welcome to China's electric grid, and large-scale wind power construction does not match with the existing power grid, therefore, wind power curtailment is serious and the level of wind power utilization is very low. To solve the wind power curtailment rationing problem, in this paper, combined with the characteristics of China's wind farm operation, the wind power utilization level evaluation index system has been built, reflecting the wind resource characteristics, wind power equipment type, wind power output, wind power curtailment, grid technology, operation management and so on. Taking Hami wind farm in Xinjiang province as an example, wind power utilization level is evaluated comprehensively, combined the improved analytic hierarchy process (IAHP) analysis and fuzzy comprehensive evaluation method (FCEM). The results show that the establishment of wind power utilization level comprehensive evaluation index system is helpful to find the main factors which effect the level of wind power utilization and improve the wind power field operation, which can provide reference for the planning and design of wind farm, and the results have certain value on theoretical significance and engineering application.
Keywords: Wind power farm in China; Wind power curtailment; Comprehensive evaluation index system; Wind power utilization level; Improved analytic hierarchy process (IAHP); Fuzzy comprehensive evaluation method (FCEM) (search for similar items in EconPapers)
Date: 2017
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Date: 2017
References: View references in EconPapers View complete reference list from CitEc
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