大规模风电接入下基于序数效用论的日前低碳调度决策模型  

Day-ahead Low Carbon Scheduling Decision Model Based on the Theory of Ordinal Utility with Significant Wind Power Generation

作　　者：范臻[1] 娄素华[1] 吴耀武[1] 吴迪 刘柏良 FAN Zhen1 , LOU Su-hua1 , WU Yao-wu1 , WU Di2 , LIU Bai-liang3(1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430024, China; 2. State Grid Suzhou Power Supply Company, Suzhou 215000, China; 3. Economy and Technology Institute, State Grid Jiangsu Electric Power Company, Nanjing 210008, Chin)

机构地区：[1]华中科技大学强电磁工程与新技术国家重点实验室,湖北武汉430074 [2]国网江苏省苏州供电公司,江苏苏州215000 [3]国网江苏省电力公司经济技术研究院,江苏南京210008

出　　处：《水电能源科学》2018年第9期212-216,共5页Water Resources and Power

基　　金：国家重点研发计划(2017YFB0902202);国家自然科学基金项目(51677076);国家电网公司总部科技项目

摘　　要：针对电力市场环境下含大规模风电系统的协调运行问题,提出了一种基于序数效用论的兼顾调度费用与碳排放量目标的调度决策方法,建立了大规模风电接入下日前调度决策的两阶段协调优化模型,该模型以序数效用论体现决策者在调度经济性与碳排放量之间的效用偏好,以多场景方法刻画风电出力的不确定性,采用允许适度弃风的系统综合效用最优的调度模式实现风电的合理消纳。最后通过算例应用验证了所提模型的有效性。To cope with the coordinated operation of power system with wind power accommodation in electricity market, considering the economic and CO2 emission objects based on the theory of ordinal utility, this paper established a two-stage stochastic programming problem of day-ahead low-carbon scheduling decision with large-scale wind power. The utility theory was used to reflect the utility preference between economic and emission objects. The uncertainty of wind power was modeled via scenarios method, and the model permitted reasonable curtailment of wind power to achieve reasonable accommodation. The effectiveness of the proposed model was validated by numerical results.

关 键 词：风电消纳 调度决策 序数效用论 电力市场 CO2排放 

分 类 号：TM73[电气工程—电力系统及自动化]