Papers by Chaabane BOUALI
Energies, Jun 12, 2019
Exact models are a necessary prerequisite for optimal hardware configuration and the design of hi... more Exact models are a necessary prerequisite for optimal hardware configuration and the design of high-performance controllers. The photovoltaic system is considered a dynamic nonlinear multimodal system, where an optimization method must be used to resolve non-linearity and to identify the parameters describing the models of such systems. This has incited several researchers to work on and to develop several optimization methods. Recently, a number of methods have been proposed, including deterministic approaches, as well as probabilistic and stochastic numerical approaches, that aimed at obtaining a more accurate model for the PV cell and module array. This paper demonstrates the application of a performance optimization method based on discrete symbiotic organism search (DSOS), that mimics the behaviors of an organism in an ecosystem to survive. The high performance of such a method is attributable to the simplicity of the algorithm used; this algorithm is different from other heuristic algorithms, in that the GA needs two tuning parameters, i.e., the cross over and mutation rate, while the harmony search needs three rules to adjust and improvise new harmony, being memory consideration, pitch adjustment, and random choosing. Meanwhile, in the ABC algorithm, three phases are introduced to find the best food source, that is, the employed bee, the onlooker bee, and the scout bee phases, while the DSOS algorithm did not need any tuning parameters, wherein the proposed algorithm was used in both a single diode and double diode model across three test cases in the study. Compared to other previously published works, the level of performance of the algorithm is high in both implementation and accuracy; the DSOS algorithm is more capable of reaching the best set of solutions. The Mann-Whitney-Wilcoxon test to evaluate the discrete solutions of the algorithm for multiple runs with a 5% degree of confidence was evaluated and performed with a good level of accuracy.
International Journal on Energy Conversion (IRECON), 2019
This paper focuses on the power quality improvement with active power filter supplied by a photov... more This paper focuses on the power quality improvement with active power filter supplied by a photovoltaic system which consists of a conventional DC/DC boost converter for the impedance matching between the PV array and DC link, a conventional DC/AC inverter and a power grid model with a non-linear load. A three-phase grid connected photovoltaic generation system for improving the power factor taking into account the influence of variable solar radiation is presented. Using the instantaneous power theory (p-q), a reduced inverter model and different control strategies are proposed and compared such as conventional PID controller, Fuzzy logic controller and hysteresis current controller. It is shown that with an extended P&O maximum power extraction algorithm, the hardware required to achieve performance improvement can be reduced to few components such as a single inverter and a boost converter. In this paper, the solution to improve the power quality, in particular the harmonic reduction through active power filters, passive power filters and hybrid power filters, is carefully studied and implemented in a fully scaled three-phase simulation environment. Extensive simulations show how the harmonics from a solar power generation system can be eliminated and how a stable steady state is rapidly achieved after an asymmetrical grid fault (opened phase fault in the point of common coupling) is occurred.
Energies, 2019
Exact models are a necessary prerequisite for optimal hardware configuration and the design of hi... more Exact models are a necessary prerequisite for optimal hardware configuration and the design of high-performance controllers. The photovoltaic system is considered a dynamic nonlinear multimodal system, where an optimization method must be used to resolve non-linearity and to identify the parameters describing the models of such systems. This has incited several researchers to work on and to develop several optimization methods. Recently, a number of methods have been proposed, including deterministic approaches, as well as probabilistic and stochastic numerical approaches, that aimed at obtaining a more accurate model for the PV cell and module array. This paper demonstrates the application of a performance optimization method based on discrete symbiotic organism search (DSOS), that mimics the behaviors of an organism in an ecosystem to survive. The high performance of such a method is attributable to the simplicity of the algorithm used; this algorithm is different from other heuri...
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Papers by Chaabane BOUALI