Optimization of Hybrid AC/DC Microgrid in Grid-Connected Mode 
Nabil Qachchachi1, Hassane Mahmoudi2, Abdennebi El Hasnaoui3
1Engineering School, Mohammed-V University, Rabat, Morocco.
2Mahmoudi Hassane, Electrical Engineering Department, Mohammedia Engineering School, Mohammed-V University, Rabat, Morocco.
3Abdennebi El Hasnaoui, Electromechanical Department, Rabat School of Mines, Rabat, Morocco.
Manuscript received on April 05, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 209-214 | Volume-9 Issue-4, April 2020. | Retrieval Number: D6699049420/2020©BEIESP | DOI: 10.35940/ijeat.D6699.049420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The instability of the production of renewable energy resources (RESs) is a major problem for its installation and integration with the utility grid. A hybrid AC/DC microgrid facilitates the good operation of RESs with a storage system in grid-tied mode and the possibilities of smart energy management. The present work is being carried out on smart control strategy for a hybrid AC/DC microgrid (HMG). This paper deals with a real-time Hybrid control system (HCS) for a grid-connected HMG where the supervisory control based totally on fixing an optimization hassle objectives to minimize operating cost with the maximum usage of renewable resources, minimum usage of the utility grid, extending energy storage systems (ESS) lifetime. The power references for renewable energy resources (RESs) are scheduled by the use of CPLEX solver which uses as input strength measurement, archived facts and stored climate forecast statistics previously measured regarding the modern status. The experimental study verifies well the supervision methodology; thus, the proposed algorithm respects the optimization in real-time operation under different constraints.
Keywords: Hybrid ac/dc microgrid, optimization, CPLEX, mixed-integer programming.