基于高斯混合聚类的海上风电出力特征曲线提取方法及其在电量平衡计算中的应用

Extraction Method of Offshore Wind Power Output Characteristic Curve Based on Gaussian Mixture Model and Its Application in Electric Quantity Balance

[目的]为了减少化石能源消耗和改善环境污染问题,海上风力发电是解决问题的有效方式之一。然而,海上风电存在间歇性强、波动性大、双向调峰性等问题,研究其出力特性曲线对海上风电消纳具有重要意义。[方法]提出一种基于贝叶斯信息准则的高斯混合聚类模型,对海上风电原始出力曲线进行分类和特征曲线提取。[结果]得到能够反映不同海风区域特点的海上风力特性曲线,并应用于海上风电出力的电量平衡计算。[结论]最后,以沿海某省份海上风电15 GW装机规模下不同海风区域原始海上风电出力曲线为研究对象,验证所提方法的有效性。

[Introduction]To reduce fossil energy consumption and mitigate environmental pollution,offshore wind power is one of the effective ways to solve the problem.However,there are some problems in offshore wind power,such as strong intermittency,large volatility and bidirectional peak shaving.Therefore,it is of great significance to study the output characteristic curve of offshore wind power.[Method]In this paper,a Gaussian Mixture Model(GMM)based on Bayesian Information Criterion was proposed.The original output curve of offshore wind power was classified and the characteristic curve was extracted.[Result]The characteristic curve of offshore wind power which can reflect the characteristics of different wind areas is obtained,and it is applied to the calculation of electric quantity balance of offshore wind power output.[Conclusion]At last,the effectiveness of the proposed method is verified by taking the original offshore wind power output curves of different sea wind areas under the installed capacity of 15 GW of offshore wind power in a coastal province as the research object.