谢敏;熊靖;刘明波;周尚筹;

• 1:华南理工大学电力学院

摘要(Abstract)：

随着大规模风电并网,构建一个能准确描述风电场出力随机性和彼此间相关性的模型,对电网安全有效地利用风能意义重大。构建了基于Copula理论的多风电场出力联合分布函数模型,并引入相关性和拟合性指标,提出了基于熵权属性识别理论的最优模型选取方法。然后,给出了基于蒙特卡洛抽样和Copula联合分布的风电场出力相关性场景在电力系统经济调度中的应用。最后,以美国加州沿海风电场出力历史同步数据为样本验证Copula建模的有效性,结果表明,t-Copula不仅能很好地刻画原变量之间的相关性,而且能精准地拟合原样本经验分布函数。通过含多风电场的IEEE 118节点系统的动态经济调度算例,说明了考虑多风电场间相关性的建模对制定合理调度计划是必要且有效的。

关键词(KeyWords)： Copula理论;秩相关系数;熵权属性识别;动态经济调度

Abstract:

Keywords:

基金项目(Foundation): 国家重点基础研究发展计划项目(973项目)(2013CB228205);; 国家自然科学基金青年基金资助项目(50907023)~~

作者(Author): 谢敏;熊靖;刘明波;周尚筹;

Email:

DOI: 10.13335/j.1000-3673.pst.2016.04.018

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