Xu Zhang, Bike Xue, Xinhong Shi, Ziheng Wang, Yuyao Feng
{"title":"Modeling and Implementation of Real-Time Power Market Based on Autonomous Controllable Optimization Solver","authors":"Xu Zhang, Bike Xue, Xinhong Shi, Ziheng Wang, Yuyao Feng","doi":"10.1109/EI256261.2022.10117298","DOIUrl":null,"url":null,"abstract":"The clearing model of real-time power market is a typical linear programming problem. In the current spot market pilot areas, relevant technical support systems use foreign commercial optimization solvers such as CPLEX and GUROBI as tools for real-time power market modeling and calculation. In recent years, domestic optimization solvers have developed rapidly in linear programming. Excellent products such as Cardinal Operations COPT and Alibaba MindOpt have emerged, realizing the independent control of optimization solvers. This paper analyzes and compares the differences between the autonomous controllable optimization solver and foreign mainstream products in parameter setting, algorithm function, function interface function and use mode, and establishes a unified modeling interface suitable for multiple solvers, so as to achieve the effect that different solvers can be called at one modeling. Secondly, according to the mathematical model of real-time power market, the modeling and calculation of real-time power market clearing model are realized based on the unified modeling interface. Finally, the application of real-time solver and controllability in foreign power market is verified by the independent test of real-time solver.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EI256261.2022.10117298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The clearing model of real-time power market is a typical linear programming problem. In the current spot market pilot areas, relevant technical support systems use foreign commercial optimization solvers such as CPLEX and GUROBI as tools for real-time power market modeling and calculation. In recent years, domestic optimization solvers have developed rapidly in linear programming. Excellent products such as Cardinal Operations COPT and Alibaba MindOpt have emerged, realizing the independent control of optimization solvers. This paper analyzes and compares the differences between the autonomous controllable optimization solver and foreign mainstream products in parameter setting, algorithm function, function interface function and use mode, and establishes a unified modeling interface suitable for multiple solvers, so as to achieve the effect that different solvers can be called at one modeling. Secondly, according to the mathematical model of real-time power market, the modeling and calculation of real-time power market clearing model are realized based on the unified modeling interface. Finally, the application of real-time solver and controllability in foreign power market is verified by the independent test of real-time solver.