Control Strategy of Hybrid AC/DC Microgrid in Standalone Mode

*Nabil Qachchachi  -  Electrical Engineering Department, Mohammedia Engineering School, Mohammed-V University, Rabat,, Morocco
Hassane Mahmoudi  -  Electrical Engineering Department, Mohammedia Engineering School, Mohammed-V University, Rabat,, Morocco
Abdennebi El Hassnaoui  -  Electromechanical Department, Rabat School of Mines, Rabat,, Morocco
Received: 26 Jan 2020; Revised: 27 Mar 2020; Accepted: 30 Apr 2020; Published: 15 Jul 2020; Available online: 20 May 2020.
Open Access Copyright (c) 2020 The Authors. Published by Centre of Biomass and Renewable Energy (CBIORE)
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract
The fluctuation of production of renewable energy resources (RESs) is a big problem for its installation and integration in isolated residential buildings. A hybrid AC/DC microgrid facilitates the good operation of RESs with a storage system in standalone mode and the possibilities of smart energy management. In this paper optimization research of the hybrid ac/dc microgrid in isolated mode of operation is presented. The power system is supplied by various Renewable Energy Resources (RESs), Photovoltaic arrays (PVA), a Wind Turbine Generator (WTG), Diesel Generator (DG) and supported by Batteries Storage System (BSS) for short term storage. The main objective of this study is to optimize power flow within a hybrid ac/dc microgrid with regards to reliability in islanded mode. First a mathematical model optimized by mixed integer linear programming and solved by CPLEX solver with JAVA language is developed for an islanded RES system and then, based on the developed model, the power system control is simulated for different cases of off-grid mode. Simulation results have shown that the management strategy can maintain power balancing while performing optimized control and give a controllable loads and batteries charging/discharging powers, even with unpredictability of RESs powers outputs and arbitrary energy tariffs. Finally, the proposed algorithm respects the optimization in real-time operation under various constraints.%.
Keywords: Hybrid ac/dc microgrid; Isolated mode; Optimization; Control.

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Section: Original Research Article
Language: EN
In Vol 9, No 2 (2020): July 2020
Statistics: 1104 626
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  17. Zahboune, H., Zouggar, S., Krajacic, G., Varbanov, P.S., Elhafyani, M., Ziani, E. (2016). Optimal hybrid renewable energy design in autonomous system using Modified Electric System Cascade Analysis and Homer software. Energy Conversion and Management, 126, 909-922. https://doi.org/10.1016/j.enconman.2016.08.061

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