2019
DOI: 10.11159/cdsr19.129
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Supplying a Direct Current Electricity to the Isolated Dwellings through MPP Tracked PV System Based on Artificial Neural Network

Abstract: The difficulties of the grid electricity supplying to certain locations like far, high lands, or countryside leads to concentrate on the solutions of the renewable photovoltaic stand-alone system supported by an efficient maximum power point tracker. In addition, the difficulties of the alternating current system which are represented by a complicated controller, system size, and high cost due to the necessity of involving an inverter, a high order filter and a step up or an insulation transformer. From this p… Show more

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Cited by 3 publications
(1 citation statement)
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“…The width of the PWM pulses can be controlled based on ANN predicting to the duty cycle which is required to compensate the phase shift between the grid voltage and the grid current. Based on the fact of that the artificial neural network ANN can quickly predict the suitable numerical value by considering the instantaneous numerical values of the input variables of the related system's parameters [16][17][18]. So, a new ANN algorithm has designed in this paper to predict the suitable duty cycle to have 100 percent matching between the grid voltage and grid current that consequently lead to have unity PF.…”
mentioning
confidence: 99%
“…The width of the PWM pulses can be controlled based on ANN predicting to the duty cycle which is required to compensate the phase shift between the grid voltage and the grid current. Based on the fact of that the artificial neural network ANN can quickly predict the suitable numerical value by considering the instantaneous numerical values of the input variables of the related system's parameters [16][17][18]. So, a new ANN algorithm has designed in this paper to predict the suitable duty cycle to have 100 percent matching between the grid voltage and grid current that consequently lead to have unity PF.…”
mentioning
confidence: 99%