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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Granada, M.E. Rider, M.J. Mantovani, J.R.S. Shahidehpour, M. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. Energy Syst., State Univ. of Campinas, Campinas (Rider, M.J.) || Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL (Shahidehpour, M.) || Electr. Power Syst. Planning Lab., UNESP, Ilha Solteira (Mantovani, J.R.S.) || Univ. Tecnol. de Pereira (UTP), Pereira (Granada, M.E.) |
| Abstract | This paper describes a method for the decentralized solution of the optimal reactive power flow (ORPF) problem in interconnected power systems. The ORPF model is solved in a decentralized framework, consisting of regions, where the transmission system operator in each area operates its system independently of the other areas, obtaining an optimal coordinated but decentralized solution. The proposed scheme is based on an augmented Lagrangian approach using the auxiliary problem principle (APP). An implementation of an interior point method is described to solve the decoupled problem in each area. The described method is successfully implemented and tested using the IEEE two area RTS 96 test system. Numerical results comparing the solutions obtained by the traditional and the proposed decentralized methods are presented for validation. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 473485 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424422173 |
| DOI | 10.1109/TDC-LA.2008.4641869 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-13 |
| Publisher Place | Colombia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Jacobian matrices multi-area power systems Reactive power optimal reactive power flow Decomposition methods VAR planning Generators interior point algorithm Power systems Planning Mathematical model Optimization |
| Content Type | Text |
| Resource Type | Article |
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