Robust transmission expansion planning model considering multiple uncertainties and active load

作     者：Wensheng Li Long Zhao Yin Bo Weilun Wang Mingqiang Wang Shuai Liu Rui Liu Xian Wang Wensheng Li;Long Zhao;Yin Bo;Weilun Wang;Mingqiang Wang;Shuai Liu;Rui Liu;Xian Wang

作者机构：Economic&Technology Research InstituteState Grid Shandong Electric Power CompanyJinan 250021Shandong ProvinceP.R China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of EducationShandong UniversityJinan 250061Shandong ProvinceP.R China Global Energy Interconnection Group Co.Ltd.Xicheng District100031BeijingP.R.China 

出 版 物：《Global Energy Interconnection》 (全球能源互联网（英文版）)

年 卷 期：2021年第4卷第5期

页      面：476-484页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

基　　金：supported by a project of the State Grid Shandong Electric Power Company(52062520000Q) the National Key Research and Development Program of China(2019YFE0118400) 

主　　题：Benders decomposition Transmission expansion planning Robust optimization Uncertainty 

摘      要：Uncertainty must be well addressed in transmission expansion planning(TEP)problem,and it significantly affects the reliability and cost-effectiveness of power *** to the complex operating environment of power systems,it is crucial to consider different types of uncertainties during the planning *** this paper,a robust TEP model is proposed by considering multiple uncertainties and active ***,in this model,the uncertainties of wind power output and contingency probability are considered *** uncertainties are described by scenario and interval,and the Benders decomposition technique is applied to solve the *** feasibility and effectiveness of the proposed model are illustrated using the IEEE RTS and IEEE 118-node systems.