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.
| Original language | English |
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| Title of host publication | IEEE Power & Energy Society general meeting, 2015 : 26-30 July 2015, Denver, CO, USA |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 978-1-4673-8040-9 |
| DOIs | |
| Publication status | Published - 2015 |
| Externally published | Yes |
| Event | 2015 IEEE Power and Energy Society General Meeting, PESGM 2015 - Sheraton Denver Downtown Hotel, Denver, United States Duration: 26 Jul 2015 → 30 Jul 2015 http://www.pes-gm.org/2015/ |
Conference
| Conference | 2015 IEEE Power and Energy Society General Meeting, PESGM 2015 |
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| Abbreviated title | PESGM 2015 |
| Country/Territory | United States |
| City | Denver |
| Period | 26/07/15 → 30/07/15 |
| Other | "Powering Up the Next Generation" |
| Internet address |