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Modified Genetic Algorithm Framework for Optimal Scheduling of Single Microgrid Combination with Distribution System Operator

Ashkan Jamaledini, Ehsan Khazaei and Mehdi Toran

MPRA Paper from University Library of Munich, Germany

Abstract: In this paper, new reformed genetic algorithm (GA) according to the multicellular organism mechanism is developed for power management of single microgrid incorporation with the distribution system operator (DSO). Integration of single microgrid into the conventional grids cann enhance the complexity of the problem due to ability of disconnecting from the main grid as a standalone small electricity network. Hence, in this paper, a new evolutionary algorithm is developed to address the complexity of the problem. The main objective of the proposed model is to minimize the total operation cost of the microgrid in both utility connected and off utility connected modes; that means the objective is based on the economic consideration. To demonstrates the high performance and ability of the proposed method, a modified IEEE 33 distribution bus test network is selected and examined. Finally, the results are compared with the famous evolutionary algorithms such as particle swarm optimization (PSO). In it worth noting that the results are only based on the economic consideration.

Keywords: Optimal energy management; Microgrid; Economic consideration (search for similar items in EconPapers)
JEL-codes: L00 L59 (search for similar items in EconPapers)
Date: 2018-10-08
New Economics Papers: this item is included in nep-cmp
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