计及激励型响应不确定性的变电站规划分布鲁棒优化方法  

Distributionally Robust Optimization Method for Substation Planning Considering Incentive-based Response Uncertainty

作　　者：葛少云[1] 范庆飞 刘洪[1] 韩俊 程亮 徐正阳 蔡超 GE Shaoyun;FAN Qingfei;LIU Hong;HAN Jun;CHENG Liang;XU Zhengyang;CAI Chao(Key Laboratory of the Ministry of Education on Smart Power Grids(Tianjin University),Tianjin 300072,China;Economic and Technology Research Institute of State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210008,China;State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210000,China)

机构地区：[1]智能电网教育部重点实验室(天津大学),天津市300072 [2]国网江苏省电力有限公司经济技术研究院,江苏省南京市210008 [3]国网江苏省电力有限公司,江苏省南京市210000

出　　处：《电力系统自动化》2023年第24期80-89,共10页Automation of Electric Power Systems

基　　金：国家电网公司总部科技项目(适应新型配电系统的能源网格规划优化技术研究,5400-202218151A-1-1-ZN)。

摘　　要：针对现有变电站规划未充分考虑因激励型需求响应不确定性而带来的方案不够精细的问题,提出一种变电站规划的分布鲁棒优化方法。首先,综合考虑需求响应的签约成本、响应成本与惩罚收益,建立计及源荷匹配和激励型需求响应的变电站选址定容混合整数线性规划模型;其次,构建基于1-范数和∞-范数的需求响应与分布式电源出力的不确定模糊集,在对混合整数线性规划模型改进的基础上,建立基于多离散场景的两阶段三层分布鲁棒优化模型;然后,采用基于列与约束生成的主问题-子问题迭代算法,利用商业求解器实现求解;最后,通过某地区实际算例,验证了文中提出方法的有效性和实用性。A distributionally robust optimization method for substation planning is proposed to address the problem that the existing substation planning has not fully considered the lack of fine-grained solutions due to the uncertainty of incentive-based demand response.Firstly,comprehensively considering the contracting cost,response cost and penalty benefit of the demand response,a mixed-integer linear programming(MILP)model for the substation location and capacity determination is developed by taking into account the source-load matching and incentive-based demand response.Secondly,an uncertain fuzzy set based on 1-norm and∞-norm demand response and distributed generator output is constructed,and a two-stage three-level distributionally robust optimization model based on multiple discrete scenarios is established according to the improvement of MILP model.Then,a master problem and sub-problem iterative algorithm based on column-and-constraint generation(C&CG)is used to achieve the solution using a commercial solver.Finally,the effectiveness and practicality of the proposed method are verified by a practical arithmetic case in a region.

关 键 词：变电站规划 需求响应 不确定性 分布鲁棒优化 

分 类 号：TM63[电气工程—电力系统及自动化]