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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. • The traditional LCOE underestimates the cost by about 15%. • The system cost of wind generation is estimated. • Several indexes are developed to assist the grid parity analysis. • The impacts of UHV lines on the grid parity are investigated. • The grid parity analysis is based on 2367 wind generators. [ABSTRACT FROM AUTHOR]