Jamaledini, Ashkan and Khazaei, Ehsan and Bitaraf, Mohammad (2019): Solving the Grid-Connected Microgrid Operation by Teaching Learning Based Optimization Algorithm.
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Abstract
In this paper, the grid-connected operation of microgrid is investigated where the microgrid can exchange power with the main grid. The proposed problem is modeled as the mixed-integer linear programming (MILP) and is solved by an evolutionary algorithm known as the teaching learning-based optimization (TLBO). Finally, the proposed model is tested on a modified IEEE 33 bus test system to show the performance of the method.
Item Type: | MPRA Paper |
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Original Title: | Solving the Grid-Connected Microgrid Operation by Teaching Learning Based Optimization Algorithm |
English Title: | Solving the Grid-Connected Microgrid Operation by Teaching Learning Based Optimization Algorithm |
Language: | English |
Keywords: | Microgrid, TLBO, Optimization, Grid-connected operation |
Subjects: | A - General Economics and Teaching > A1 - General Economics A - General Economics and Teaching > A1 - General Economics > A10 - General C - Mathematical and Quantitative Methods > C0 - General C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods P - Economic Systems > P0 - General |
Item ID: | 94276 |
Depositing User: | Dr. Ehsan Khazaei |
Date Deposited: | 05 Jun 2019 21:06 |
Last Modified: | 30 Sep 2019 12:44 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/94276 |