杨策;孙伟卿;韩冬;田坤鹏;

• 1:上海理工大学光电信息与计算机工程学院
• 2:上海理工大学机械工程学院

摘要(Abstract)：

随着大规模可再生能源参与到电力系统运行中,其波动性和间歇性增加了电力系统经济调度的困难和挑战。考虑可再生能源出力不确定,以发电成本、可再生能源削减成本和旋转备用成本最小为目标,提出了一种两阶段分布鲁棒经济调度模型。假设风电发电的波动性服从未知概率分布,利用可获取的风电出力历史数据矩信息,建立分布鲁棒模糊集以刻画风电出力特性。采用条件风险价值理论对分布鲁棒模型进行转换,进而得到具有数学可解性的优化模型。基于随机对偶动态规划方法,提出一种改进的迭代算法求解模型,该算法通过反复进行向前和向后迭代,能够快速收敛到模型最优解。最后,以IEEE 6节点系统和IEEE 118节点系统作为仿真系统,通过分析文中所提算法收敛度、置信度和样本量3个评价指标与总成本关系,验证提出的模型和方法的有效性。

关键词(KeyWords)： 主备调度;分布鲁棒;条件风险价值;随机对偶动态规划方法

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51777126)~~

作者(Author): 杨策;孙伟卿;韩冬;田坤鹏;

Email:

DOI: 10.13335/j.1000-3673.pst.2020.0367

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