The grid parity analysis of onshore wind power in China: A system cost perspective

Hao Chen, Xin-Ya Gao, Jian-Yu Liu, Qian Zhang, Shiwei Yu, Jia-Ning Kang, Rui Yan and Yi-Ming Wei

Renewable Energy, 2020, vol. 148, issue C, 22-30

Abstract: The grid parity of wind generation has drawn increasing attention owing to the serious subsidy funding shortages in China, but scientific evidences for the grid parity feasibility are still not sufficient, because most studies have neglected the additional balancing cost and grid-connection cost caused by the wind generation. We hence develop an integrated methodology to analyze the grid parity of onshore wind generation from a system cost perspective, coupling a system generation cost model, a grid parity index model and a learning curve model. Key findings are summarized as follows: (1) The average system cost of wind generation declined from 0.84 yuan/kWh in 2006 to 0.57 yuan/kWh in 2017. Guangdong has the highest system cost, while Xinjiang costs the least. (2) The traditional LCOE approach underestimates the wind generation cost by about 15%, resulting in biased conclusions regarding the grid parity. (3) All the provincial grid parity indexes have values more than 1, indicating that the current grid parity of wind generation is impractical. (4) The national average grid parity time of wind generation are forecasted to be 2021, 2023 and 2026 when the on-grid coal generation prices are 0.50 yuan/kWh, 0.45 yuan/kWh and 0.40 yuan/kWh, respectively.

Keywords: Wind; Grid parity; System cost; LCOE; China (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:148:y:2020:i:c:p:22-30

DOI: 10.1016/j.renene.2019.11.161

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