全球能源互联网（英文）2023，Vol.6Issue(6)：738-750,13.DOI:10.1016/j.gloei.2023.11.007
面向"源-网-储"协同风电消纳的需求响应管理鲁棒优化模型
A robust optimization model for demand response management with source-grid-load collaboration to consume wind-power
摘要
Abstract
To accommodate wind power as safely as possible and deal with the uncertainties of the output power of wind-driven 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
新型电力系统/风电消纳/"源-网-荷"协同/负荷需求响应/两阶段鲁棒优化模型Key words
Renewable power system/Optimal dispatching/Wind-power consumption/Source-grid-load collaboration/Load demand response/Two-stage robust optimization model引用本文复制引用
周祥峰,蔡春元,李永健,詹耀国,孙烨桦..面向"源-网-储"协同风电消纳的需求响应管理鲁棒优化模型[J].全球能源互联网（英文）,2023,6(6):738-750,13.基金项目
This work was supported by the Special Research Project on Power Planning of the Guangdong Power Grid Co.,Ltd. （）
