Jamaledini, Ashkan and Soltani, Ali and Khazaei, Ehsan (2020): Region Search Optimization Algorithm for Economic Energy Management of Grid-Connected Mode Microgrid.
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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.
Item Type: | MPRA Paper |
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Original Title: | Region Search Optimization Algorithm for Economic Energy Management of Grid-Connected Mode Microgrid |
English Title: | Region Search Optimization Algorithm for Economic Energy Management of Grid-Connected Mode Microgrid |
Language: | English |
Keywords: | Grid-connected microgrid, economic energy management, industry microgrid, |
Subjects: | A - General Economics and Teaching > A1 - General Economics A - General Economics and Teaching > A3 - Collective Works > A30 - General G - Financial Economics > G1 - General Financial Markets G - Financial Economics > G1 - General Financial Markets > G10 - General G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency ; Event Studies ; Insider Trading L - Industrial Organization > L0 - General O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development P - Economic Systems > P0 - General |
Item ID: | 102094 |
Depositing User: | Dr. Ashkan Jamaledini |
Date Deposited: | 31 Jul 2020 08:45 |
Last Modified: | 31 Jul 2020 08:45 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/102094 |