Logo
Munich Personal RePEc Archive

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

Jamaledini, Ashkan and Soltani, Ali and Khazaei, Ehsan (2020): Region Search Optimization Algorithm for Economic Energy Management of Grid-Connected Mode Microgrid.

[thumbnail of MPRA_paper_102094.pdf]
Preview
PDF
MPRA_paper_102094.pdf

Download (540kB) | Preview

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.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.