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MICRO-GRID OPERATION CONSIDERING THE UNCERTAINTIES RELATED TO THE ELECTRIC VEHICLE PARKING DECK |
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| รหัสดีโอไอ | |
| Creator | Hojat Ansari Satellu, Shahram Mojtahedzadeh |
| Title | MICRO-GRID OPERATION CONSIDERING THE UNCERTAINTIES RELATED TO THE ELECTRIC VEHICLE PARKING DECK |
| Contributor | - |
| Publisher | TuEngr Group |
| Publication Year | 2562 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 10 |
| Journal No. | 8 |
| Page no. | 1091-1104 |
| Keyword | MicroGrid, EV, Genetic Algorithm, Smart Distribution Network. |
| URL Website | http://tuengr.com/Vol10_8.html |
| Website title | ITJEMAST V10(8) 2019 @ TuEngr.com |
| ISSN | 2228-9860 |
| Abstract | Micro Grid known as the building blocks of Smart Grid is the small-scale distribution network with at least one DER and one load with clearly defined electrical and geographical boundaries. Inherent merits of MG cause that DER penetration in the network increases considerably. New trends of EVs with two-way power flows, considering the variability of time, location and amount of charge, has introduced varies challenges and opportunities for power system which causes that, proper management and operation is required to the merits of EVs. On the other hand, high penetration of renewable energies in smart distribution network with uncertainties, adds to the complexity of network operation. In this regards, in this thesis, optimal operation of MG in the presence of EVs uncertainty and also uncertainties of photovoltaic as a dominant distributed generation, is aimed. The proposed scheme aims to supply the consumers demand in possible lowest costs and simultaneously preserving network constraints. In the proposed scheme, Genetic Algorithm as an efficient tool is used to find the optimum solutions. In order to clarify the effectiveness, the proposed scheme and to show the accuracy of the results, simulation studied is done on a sample MG and the results are discussed. |