谢云云;谷志强;王晓丰;卓一;王珂;耿建;

• 1:南京理工大学自动化学院
• 2:温州港集团有限公司
• 3:浙江华云信息科技有限公司
• 4:中国电力科学研究院有限公司

摘要(Abstract)：

由于光伏出力和电力市场价格存在不确定性,现有研究常采用基于概率场景的随机优化方法,但准确的光伏发电和电力市场价格概率密度函数较难获取,且可能由于难以满足投标功率而受到惩罚。为此,提出了基于鲁棒模型预测控制的运行策略。以光储系统在能量和调频市场的联合收益最大为目标函数,计及光伏发电的出力约束和储能的充放电约束、功率约束、电量约束,考虑光伏出力和实时市场价格的不确定性,建立了多时步双层鲁棒优化模型。利用对偶理论将该模型转化为一个混合整数线性规划模型,并采用CPLEX求解该模型。最后,利用实际光伏和储能数据及ERCOT电价数据验证了所提运行策略的有效性。

关键词(KeyWords)： 光储系统;能量市场;调频市场;鲁棒模型预测控制;鲁棒优化

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51807181,61673213);; 中央高校基本科研业务费专项资金项目(30918011330);; 国家电网公司总部科技项目“虚拟电厂参与电力现货市场关键技术研究”~~

作者(Author): 谢云云;谷志强;王晓丰;卓一;王珂;耿建;

Email:

DOI: 10.13335/j.1000-3673.pst.2019.1363

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