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Contribution Analysis of Influential Factors for Wind Power Curtailment Caused by Lack of Load-Following Capability Based on BP-MIV

In recent years, wind power curtailment has become an important issue in China. It is necessary to analyze influential factors of wind power curtailment and how much these factors affect wind power curtailment. This paper proposes a novel method to quantify influential factors of wind power curtailment caused by lack of load-following capability. First, Back-propagation neural network is applied to model the correlation between influential factors and wind power curtailment caused by lack of load-following capability. Then, Mean Impact Value is utilized to compute contributions of influential factors. Finally, case study on a provincial power grid in northwest region of China is carried out to validate the proposed method. The study result indicates that the proposed method can quantify the importance of each influential factor.