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Maximum Power Point Tracking Using Constrained Model Predictive Control for Photovoltaic Systems | ||
Journal of Solar Energy Research | ||
مقاله 2، دوره 2، شماره 2، تیر 2017، صفحه 19-24 اصل مقاله (607.24 K) | ||
نوع مقاله: Original Article | ||
نویسندگان | ||
M. Razzazan* 1؛ Z. Mirbagheri2؛ A. Ramezani3 | ||
1Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
2Dept of Electrical and Electronic Engineering, University of Melbourne, Melbourne, Australia | ||
3Dept of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran | ||
چکیده | ||
Photovoltaic (PV) systems offers clean source for the generation of electricity, which is however costly today. Due to the variable and stochastic behavior of the solar energy resource, Maximum Power Point Tracking (MPPT) of photovoltaic systems is required to ensure continuous operation at the maximum power point to generate the most electrical energy. This paper presents the use of a model predictive controller (MPC) considering constraints for safe operation in order to maximize the power output from a PV system. Analysis and simulation of the proposed system is discussed in details through the paper. The simulation results show that the designed controller can track Maximum Power Point quickly, accurately and effectively. | ||
کلیدواژهها | ||
Photovoltaic systems؛ Maximum Power Point Tracking؛ Constrained Model Predictive Control | ||
آمار تعداد مشاهده مقاله: 433 تعداد دریافت فایل اصل مقاله: 503 |