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Open AccessArticle

Development of a Fractional Order Chaos Synchronization Dynamic Error Detector for Maximum Power Point Tracking of Photovoltaic Power Systems

Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
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Academic Editors: Chien-Hung Liu and Takayoshi Kobayashi
Appl. Sci. 2015, 5(4), 1117-1133; https://doi.org/10.3390/app5041117
Received: 6 August 2015 / Revised: 1 November 2015 / Accepted: 6 November 2015 / Published: 12 November 2015
In recent years, the photovoltaic (PV) power generation system has been widely discussed and researched. Research on electric energy focuses on the development of Maximum Power Point Tracking (MPPT) technology, and many methods have been proposed. However, these studies have a common defect: the tracking continues near the maximum power point (MPP), so that the waveform of output power jitters, thus causing power loss and rapid wearing of electronic modules. In order to remedy this defect, this paper proposes a new type of fractional order chaos synchronization dynamic error detector for the MPPT design of a PV power system. In this study, the Sprott chaos synchronization dynamic error system was used to control the pulse width duty cycle of PWM and optimize the power oscillation of a PV power system during steady-state response. The simulation and experimental results showed that the voltage detector proposed in this paper can reduce the power oscillation of a PV power system during steady-state response, and increase the overall system efficiency. From the steady-state responses of MPPT, it can be seen that about 0.2 vibration amplitude can be suppressed with control action. Therefore, about 4% of steady-state vibration energy can be saved. View Full-Text
Keywords: photovoltaic; maximum power point tracking; fractional order Sprott chaos system; incremental conductance method photovoltaic; maximum power point tracking; fractional order Sprott chaos system; incremental conductance method
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Yu, K.-N.; Yau, H.-T.; Liao, C.-K. Development of a Fractional Order Chaos Synchronization Dynamic Error Detector for Maximum Power Point Tracking of Photovoltaic Power Systems. Appl. Sci. 2015, 5, 1117-1133.

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