Two-stage stochastic programming for the joint dispatch of energy and reserve considering demand response

作     者：Zhang, Menglin Ai, Xiaomeng Fang, Jiakun Wen, Jinyu 

作者机构：Huazhong Univ Sci & Technol State Key Lab Adv Electromagnet Engn & Technol Wuhan Hubei Peoples R China Aalborg Univ Dept Energy Technol Aalborg Denmark 

出 版 物：《JOURNAL OF ENGINEERING-JOE》 

年 卷 期：2019年第2019卷第18期

页      面：5172-5177页

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 

主　　题：pricing power generation economics power markets IEEE standards stochastic programming power generation dispatch thermal power stations wind power plants power generation scheduling joint dispatch two-stage stochastic programming model wind power uncertainty incentive-based demand response day-ahead energy dispatch reserve capacity need IBDR program thermal power units IBDR model maximum response times DR agent wind power scenarios original model 50 DR agents 

摘      要：This paper formulates a two-stage stochastic programming model for energy and reserve joint dispatch considering wind power uncertainty and the participation of incentive-based demand response (IBDR). The model consists two stages, the first stage is to determine the day-ahead energy dispatch and the reserve capacity need, the second stage is to determine the deployment of reserves to accommodate the realisation of wind power uncertainty in real time. The IBDR program and the thermal power units provide reserve together to cope with the uncertainty of wind power. The IBDR model considers the maximum response times of a DR agent during a day to assure the reliability of using electricity for end users. To reduce the computation burden caused by wind power scenarios, the inactive constraints identification method is utilised to eliminate redundant transmission line constraints before solving the original model. Finally, the effectiveness of the proposed model and the solving method are tested on the modified IEEE 118-bus test system with 50 DR agents.