| Title |
Distribution System Reconfiguration in Economic Dispatch with High Wind Penetration |
| Authors |
Bizuayehu, Abebe W. , SÁNCHEZ DE LA NIETA LÓPEZ, AGUSTÍN ALEANDRO, Catalao, Joao P. S. , Meneses de Quevedo, Pilar , Contreras, Javier |
| External publication |
Si |
| Means |
IEEE Power Energy Soc. Gen. Meet. |
| Scope |
Proceedings Paper |
| Nature |
Científica |
| SJR Impact |
0.40500 |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84956859284&doi=10.1109%2fPESGM.2015.7286251&partnerID=40&md5=af84a7cf2f01248bbf13194296c37c14 |
| Publication date |
01/01/2015 |
| ISI |
000371397502170 |
| Scopus Id |
2-s2.0-84956859284 |
| DOI |
10.1109/PESGM.2015.7286251 |
| Abstract |
This paper presents the analysis of a distribution system subject to reconfiguration with high wind penetration over a period of 24 hours. In order to meet this objective, the reconfiguration problem is solved through mixed integer linear programming considering the stochasticity of the variables, where the balance between load and generation has to be satisfied at the lowest cost in each period. The model considers a wind profile that follows an Auto-Regressive (AR) pattern to take into account uncertainty in wind generation, bus loads for a typical demand profile, and non-renewable distributed generation, all implemented for a 33-bus case study representing a weakly meshed distribution network. Test results from the case study show the effects on voltages, currents and substation behaviors as well as the power loss and the overall cost of the system. |
| Keywords |
Distributed generation; distribution system reconfiguration (DSR); operation costs; stochastic mixed integer linear problem; wind power |
| Universidad Loyola members |
|
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