Abstract
This paper proposes a new algorithm for solving a type of complicated optimal power flow (OPF) problems in power systems, i.e., OPF problems with transient stability constraints (OTS). The OTS is converted into a semi-infinite programming (SIP) via some suitable function analysis. Then based on the KKT system of the reformulated SIP, a smoothing quasi-Newton algorithm is presented in which the numerical integration is used. The convergence of the algorithm is established. An OTS problem in power system is tested, which shows that the proposed algorithm is promising.
Original language | English |
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Pages (from-to) | 432-447 |
Number of pages | 16 |
Journal | Journal of Computational and Applied Mathematics |
Volume | 217 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Aug 2008 |
Keywords
- Optimal power flow
- Quasi-Newton algorithm
- Semi-infinite programming
- Transient stability constraint
ASJC Scopus subject areas
- Computational Mathematics
- Applied Mathematics