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Content Provider | IEEE Xplore Digital Library |
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Author | Nwesaty, W. Bratcu, A.I. Hably, A. |
Copyright Year | 2013 |
Description | Author affiliation: Control Syst. Dept., Grenoble Inst. of Technol., St. Martin d'Hères, France (Nwesaty, W.; Bratcu, A.I.; Hably, A.) |
Abstract | This paper proposes a modified Perturb and Observe (P&O) Extremum Seeking Control (ESC) technique in presence of multiple maxima. ESC is applied to single-phase grid-connected photovoltaic (PV) arrays which have to provide maximum power irrespective of solar irradiance conditions. In particular, partially shadow conditions may lead to steady-state power curves exhibiting multiple maxima. The power harvested from the PV generator is injected in the single-phase power grid by using two power converter stages: step-up DC-DC converter and DC-AC inverter. When multiple power maxima exist, the amplitude of the perturbation signal plays an important role in successfully tracking the global maximum. Two amplitude modulation strategies are analyzed for the same case study: amplitude modulation by using a first-order-system-response signal and amplitude modulation by using small duty ratio square-wave signal, respectively. $MATLAB^{®}/Simulink^{®}$ numerical simulations are presented in order to assess the two approaches comparatively. |
Sponsorship | IEEE Ind. Appl. Soc. |
Starting Page | 85 |
Ending Page | 90 |
File Size | 571445 |
Page Count | 6 |
File Format | |
ISBN | 9781479914647 |
DOI | 10.1109/ICRERA.2013.6749731 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-10-20 |
Publisher Place | Spain |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Photovoltaic systems Hill climbing Clouds Cascade control Amplitude modulation Extremum Seeking Control Generators Inverters Steady-state Voltage control Optimal control Modulation Renewable energy systems Perturb and observe |
Content Type | Text |
Resource Type | Article |
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