Solving the Grid-Connected Microgrid Operation by Teaching Learning Based Optimization Algorithm
Ashkan Jamaledini,
Ehsan Khazaei and
Mohammad Bitaraf
MPRA Paper from University Library of Munich, Germany
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.
Keywords: Microgrid; TLBO; Optimization; Grid-connected operation (search for similar items in EconPapers)
JEL-codes: A1 A10 C0 C02 P0 (search for similar items in EconPapers)
Date: 2019-06-02
New Economics Papers: this item is included in nep-cmp and nep-ore
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:94276
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