Region Search Optimization Algorithm for Economic Energy Management of Grid-Connected Mode Microgrid

Ashkan Jamaledini, Ali Soltani and Ehsan Khazaei

MPRA Paper from University Library of Munich, Germany

Abstract: Economic energy management of grid-connected microgrid has been widely investigated. However, due to the binary variables of the generation unit’s status, the optimal result of the grid-connected microgrid is very hard. Thus, in this paper, the region search optimization algorithm (RSOA) is developed and adopted for the energy management of the grid-connected microgrid. The developed technique has higher convergence speed and accuracy, compared to the well-known heuristic techniques, such as genetic algorithm and particle swarm optimization. Results shows the effectiveness of the developed model.

Keywords: Grid-connected microgrid; economic energy management; industry microgrid (search for similar items in EconPapers)
JEL-codes: A1 A30 G1 G10 G14 L0 O1 P0 (search for similar items in EconPapers)
Date: 2020-03-11
New Economics Papers: this item is included in nep-cmp, nep-ene and nep-ore
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:102094

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