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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guamán, W.H. Ojeda, D. Vargas, A. |
| Copyright Year | 2010 |
| Description | Author affiliation: Electrical Energy Institute IEE, from National University of San Juan, Argentina (Guamán, W.H.; Ojeda, D.; Vargas, A.) |
| Abstract | In the framework of the electric industry where the generation is competitive, the regulation visualizes different schemes of transmission network expansion planning, among them the Centralized Transmission Expansion Planning CTEP is recognized, which is important in the Latin American environment. Very little effort has been assigned to solve the dynamic model of the CTEP, because of the complexity of the optimization problem, which has been simplified in static and multi-stage models to reduce the calculation time, but from this viewpoint the commissioning year in service has been ignored. In this research, a methodology for the decision-making in the CTEP solution process, under a deterministic framework is proposed. A hybrid approach in order to solve the dynamic model of the CTEP is developed, based on: a meta-heuristic evolutionary algorithm, a heuristic procedure and the classic dynamic programming method. |
| Starting Page | 581 |
| Ending Page | 588 |
| File Size | 891866 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781457704888 |
| e-ISBN | 9781457704888 |
| DOI | 10.1109/TDC-LA.2010.5762941 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-11-08 |
| Publisher Place | Brazil |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | optimal investment sequence Heuristic algorithms Power system dynamics dynamic programming multi-period transmission planning heuristic procedure Optimization Investments evolutionary meta-heuristic algorithm Competitive markets Planning Dynamic programming Mathematical model dynamic model long-term |
| Content Type | Text |
| Resource Type | Article |
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