Hybrid Renewable Energy Sources (HRES) integrated into a microgrid (MG) are a cost-effective and convenient solution to supply energy to off-grid and rural areas in developing countries. This research paper focuses on the optimization of an HRES connected to a stand-alone microgrid system consisting of photovoltaics (PV), wind turbines (WT), batteries (BT), diesel generators (DG), and inverters to meet the energy demand of fifteen residential housing units in the city of Djelfa, Algeria. In this context, the multiobjective salp swarm algorithm (MOSSA), which is among the latest nature-inspired metaheuristic algorithms recently introduced for hybrid microgrid system (HMS) optimization, has been proposed in this paper for solving the optimization of an isolated HRES. The proposed multiobjective optimization problem takes into account the cost of energy (COE) and loss of power supply probability (LPSP) as objective functions. The proposed approach is applied to determine three design variables, which are the nominal power of photovoltaic, the number of wind turbines, and the number of battery autonomy days considering higher reliability and minimum COE. In order to perform the optimum size of HMG, MOSSA is combined with a rule-based energy management strategy (EMS). The role of EMS is the coordination of the energy flow between different system components. The effectiveness of using MOSSA in addressing the optimization issue is investigated by comparing its performance with that of the multiobjective dragonfly algorithm (MODA), multiobjective grasshopper optimization algorithm (MOGOA), and multiobjective ant lion optimizer (MOALO). The MATLAB environment is used to simulate HMS. Simulation results confirm that MOSSA achieves the optimum system size as it contributed 0.255 USD/kW h of COE and LPSP of 27.079% compared to MODA, MOGOA, and MOALO. In addition, the optimization results obtained using the proposed method provided a set of design solutions for the HMS, which will help designers select the optimal solution for the HMS.

The Adrar site located in the south of Algeria, presents the most important windy and sunny site in Algeria that can be exploited. In this context for the exploitation of the two complimentary sources of this site (wind and sun) based on the meteorological data, the present paper focuses on the study of a Hybrid System (HS) based on an interconnection between a Wind Energy Conversion System (WECS) and a Photovoltaic System (PVS) which is planted in the DC-link bus of the back-to-back converter feeding the Double Feed Induction Generator (DFIG) rotor of the WECS. The objective of using this proposed coupling topology is to exploit the two available complementary renewable sources in the same time, to enhance the exploitation rate of the un-resized WECS back-to-back converter which remains at low power in the weak wind case or in the synchronism case and to eliminate the PVS inverter. Consequently the overall cost of the HS can be reduced. On the other side, to solve the energy quality problem; a modified MPPT mode control technique is proposed and compared with two other conventional techniques, the first one uses the PVS to offset only the WECS power rapid fluctuations and the second one uses a Battery Storage Unit (BSU) to ensure the produced energy smoothing. This BSU plays also an interesting role to store the surplus of energy when the maximum power level of the WECS converter is reached in case of wind and/or irradiation abundances.

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