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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rueda-Medina, A.C. Lopez-Lezama, J.M. Padilha-Feltrin, A. |
| Copyright Year | 2010 |
| Description | Author affiliation: Universidad de Antioquia (UdeA), Efficient Energy Management Research Group (GIMEL), Medellin, Colombia (Lopez-Lezama, J.M.) || Universidade Estadual Paulista (UNESP), Ilha Solteira SP, Brasil (Rueda-Medina, A.C.; Padilha-Feltrin, A.) |
| Abstract | Due to the renewed interest in distributed generation (DG), the number of DG units incorporated in distribution systems has been rapidly increasing in the past few years. This situation requires new analysis tools for understanding system performance, and taking advantage of the potential benefits of DG. This paper presents an evolutionary multi-objective programming approach to determine the optimal operation of DG in distribution systems. The objectives are the minimization of the system power losses and operation cost of the DG units. The proposed approach also considers the inherent stochasticity of DG technologies powered by renewable resources. Some tests were carried out on the IEEE 34 bus distribution test system showing the robustness and applicability of the proposed methodology. |
| Starting Page | 257 |
| Ending Page | 262 |
| File Size | 553291 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457704888 |
| e-ISBN | 9781457704888 |
| DOI | 10.1109/TDC-LA.2010.5762891 |
| 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 | Uncertainty Monte Carlo methods Power losses Programming Markov processes Minimization Probabilistic logic Distributed generation Evolutionary multi-objective programming Optimization |
| Content Type | Text |
| Resource Type | Article |
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