期刊
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
卷 8, 期 1, 页码 279-290出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2016.2598240
关键词
Design; dynamic modeling; fuzzy logic control (FLC); genetic algorithms (GA); maximum power point tracker (MPPT); pumping system; small signal analysis; state-space model
资金
- Office of Naval Research
- Cultural Affairs and Missions Sector, Ministry of Higher Education, Egypt
This paper presents a cost effective control algorithm for standalone batteryless photovoltaic (PV) systems. The control is driven by a fuzzy-based maximum power point tracker which has the capabilities to maintain high-energy conversion efficiency under different weather and load conditions. General design considerations are presented based on the linearization of the dynamic model of the entire system which consists of PV panel, Cuk converter, and motor load. For our particular fuzzy-MPPT controller, these design considerations are combined with an artificial intelligent technique to achieve the optimum control design. Furthermore, the developed control algorithm has voltage regulation capability to protect the load from overvoltage during light load conditions and a fast digital overload protection. The transient and steady-state performance of the entire system was modeled by a nonlinear state-space representation. The proposed control is simulated in MATLAB and experimentally tested under the fast variation of climatic conditions for verification purposes A very good agreement has been shown between theoretical, simulations, and experimental results
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