Simulation and optimization of hybrid PV-wind renewable energy system

Fulzele, Jyoti B.; Daigavane, M. B.

doi:10.1049/cp.2016.1512

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…Seeking the optimum design of economically feasible HES to feed a load which had seasonal variations, Fulzele et al used iHOGA to simulate and optimize the system [28]. The results showed that 99% of the required load was covered by the system, subject to operational constraints and control strategies.…”

Section: Other Applications Of Different Packagesmentioning

confidence: 99%

Hybrid Wind and Solar Systems Optimization

Badr¹

2020

Modeling, Simulation and Optimization of Wind Farms and Hybrid Systems

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Solar and wind energy systems are considered as promising power-generating sources due to their availability and advantages in local power generation. However, a drawback is their unpredictable nature. This problem can be partially overcome by integrating these two resources or more in a proper combination to form a hybrid energy system. Nevertheless, the harmonization of different energy sources, energy storage, and load requirements is a challenging task. Thus, the performance of various possible configurations has to be investigated to reach the optimum combination using a simulation program. The number of simulations and time required for calculation increases with the increase in number of optimization variables. Therefore, the selection of a quick and accurate optimization technique is very important. Different software packages, such as HOMER and iHOGA, were developed, where each of them is based on a different optimization algorithm.

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Section: Other Applications Of Different Packagesmentioning

confidence: 99%

Hybrid Wind and Solar Systems Optimization

Badr¹

2020

Modeling, Simulation and Optimization of Wind Farms and Hybrid Systems

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“…Combined energy systems in different applications are known. Reference [3] presented a wind-PV generator coupled with a DC load, while [4] developed a model of a PV-wind system implemented in Matlab/Simulink. Reference [5] focused on the converter design, while [6] presented a design of a controller for the energy sources.…”

Section: Introductionmentioning

confidence: 99%

Smart and Renewable Energy System to Power a Temperature-Controlled Greenhouse

et al. 2021

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This paper presents the modeling and simulation of a Multi-Source Power System (MSPS)—composed of two renewable energy sources and supported by a Battery Energy Storage System (BESS)—to supply the ventilation and heating system for a temperature-controlled agricultural greenhouse. The first one is a photovoltaic (PV) generator connected to a DC/AC inverter and the second one is a wind turbine connected to a Permanent Magnet Synchronous Generator (PMSG). The temperature contribution in the model of the PV generator is deeply studied. A Maximum Power Point Tracking (MPPT) control based on fuzzy logic is used to drive a SEPIC converter to feed the maximum power to the greenhouse actuators. The operation of the actuators (ventilation and heating systems), on the basis of the mismatch between the internal temperature and the reference one, is controlled by a PI controller optimized by fuzzy logic, for more robust results. The simulation of the system is carried out in a Matlab/Simulink environment and its validation is based on the comparison between the simulated and experimental data for a test greenhouse, located in the Faculty of Science in Tunis. The results show that the proposed system provides an efficient solution for controlling the microclimate of the agricultural greenhouse in different periods of the year.

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