A robust optimization model for demand response management with source-grid-load collaboration to consume wind-power  

作　　者：Xiangfeng Zhou Chunyuan Cai Yongjian Li Jiekang Wu Yaoguo Zhan Yehua Sun 

机构地区：[1]Zhongshan Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Zhongshan 528401,Guangdong,P.R.China [2]School of Automation,Guangdong University of Technology,Guangzhou 510006,Guangdong,P.R.China

出　　处：《Global Energy Interconnection》2023年第6期738-750,共13页全球能源互联网（英文版）

基　　金：supported by the Special Research Project on Power Planning of the Guangdong Power Grid Co.,Ltd.

摘　　要：To accommodate wind power as safely as possible and deal with the uncertainties of the output power of winddriven generators,a min-max-min two-stage robust optimization model is presented,considering the unit commitment,source-network load collaboration,and control of the load demand response.After the constraint functions are linearized,the original problem is decomposed into the main problem and subproblem as a matrix using the strong dual method.The minimum-maximum of the original problem was continuously maximized using the iterative method,and the optimal solution was finally obtained.The constraint conditions expressed by the matrix may reduce the calculation time,and the upper and lower boundaries of the original problem may rapidly converge.The results of the example show that the injected nodes of the wind farms in the power grid should be selected appropriately;otherwise,it is easy to cause excessive accommodation of wind power at some nodes,leading to a surge in reserve costs and the load demand response is continuously optimized to reduce the inverse peak regulation characteristics of wind power.Thus,the most economical optimization scheme for the worst scenario of the output power of the generators is obtained,which proves the economy and reliability of the two-stage robust optimization method.

关 键 词：Renewable power system Optimal dispatching Wind-power consumption Source-grid-load collaboration Load demand response Two-stage robust optimization model 

分 类 号：TM614[电气工程—电力系统及自动化]