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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Benoit, C. Mercier, A. Besanger, Y. Wurtz, F. |
| Copyright Year | 2013 |
| Description | Author affiliation: G2Elab, Grenoble Inst. of Technol., Grenoble, France (Benoit, C.; Mercier, A.; Besanger, Y.; Wurtz, F.) |
| Abstract | This paper investigates a formulation of the Optimal Power Flow (OPF) problem, which aims to find the predictive optimal operational state of a low voltage smart grid. The optimization problem includes distributed generations (DG), distributed storage (DS), and smart buildings. Active and reactive power management is done through DG and DS control, and soft load shedding. It takes into account networks constraints, through a full AC power flow calculation. The low-voltage distribution network is modeled as a three-phased four-wire system. Several objective functions are described. Finally, a case study is solved using KNITRO [1], a robust and efficient solver for large, nonlinear and constrained problems, after being modeled in GAMS [2]. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 429735 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781467356695 |
| DOI | 10.1109/PTC.2013.6652502 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-16 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optimization Reactive power Energy management Low voltage Mathematical model Wires Equations deterministic optimization Low Voltage Smart grid Distribution Management System Demand-side energy management Predictive energy management Optimal Power Flow |
| Content Type | Text |
| Resource Type | Article |
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