作者: Yong Fu , Zuyi Li , Lei Wu
DOI: 10.1109/TPWRS.2013.2272518
关键词: Lagrangian relaxation 、 Key (cryptography) 、 Power system simulation 、 Engineering 、 Network security 、 Iterative method 、 Software 、 Integer programming 、 Mathematical optimization 、 Electric power system
摘要: Security-constrained unit commitment (SCUC), as one of key components in power system operation, is being widely applied vertically integrated utilities and restructured systems. The efficient solution framework to implement iterations between a master problem (unit commitment) subproblems (network security evaluations). In industrial applications, both Lagrangian relaxation mixed-integer programming are commonly for the problem, linear sensitivity factor Benders cut methods used generate additional constraints phase network evaluations. This paper evaluates capabilities performances each algorithm through technical discussion numerical testing. Special topics on large-scale SCUC engine development also discussed this paper, such input data screening, inactive constrains elimination, contingency management, infeasibility handling, parallel computing, model simplification. will benefit academic researchers, software developers, operators when they design, develop assess effective models algorithms solving problems.