A Data-driven Variable Reduction Approach for Transmission-constrained Unit Commitment of Large-scale Systems

作     者：Yuzhou Zhou Qiaozhu Zhai Lei Wu Moammad Shahidehpour 

作者机构：Systems Engineering InstituteMOEKLINNS LabXi’an Jiaotong UniversityXi’an 710049China Electrical and Computer Engineering DepartmentStevens Institute of TechnologyHobokenU.S. Electrical and Computer Engineering DepartmentIllinois Institute of TechnologyChicagoU.S. IEEE 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2023年第11卷第1期

页      面：254-266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 in part by the National Natural Science Foundation of China(No.61773309) 

主　　题：Unit commitment accelerated algorithm data driven variable reduction 

摘      要：This paper presents a data-driven variable reduction approach to accelerate the computation of large-scale transmission-constrained unit commitment(TCUC).Lagrangian relaxation(LR)and mixed-integer linear programming(MILP)are popular approaches to solving ***,with many binary unit commitment variables,LR suffers from slow convergence and MILP presents heavy computation *** proposed data-driven variable reduction approach consists of offline and online calculations to accelerate computational performance of the MILP-based large-scale TCUC problems.A database including multiple nodal net load intervals and the corresponding TCUC solutions is first built offline via the data-driven and all-scenario-feasible(ASF)approaches,which is then leveraged to efficiently solve new TCUC instances ***/off statuses of considerable units can be fixed in the online calculation according to the database,which would reduce the computation burden while guaranteeing good solution quality for new TCUC instances.A feasibility proposition is proposed to promptly check the feasibility of the new TCUC instances with fixed binary variables,which can be used to dynamically tune parameters of binary variable fixing strategies and guarantee the existence of feasible UC solutions even when system structure *** tests illustrate the efficiency of the proposed approach.