Journal
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Volume 42, Issue 28, Pages 17645-17654Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2016.11.173
Keywords
Extremum Seeking Control (ESC); Photovoltaic (PV); Partially Shaded Conditions (PSCs); Global Maximum Power Point Tracking (GMPPT); Multimodal pattern
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Funding
- Cost-Efficient Data Collection for Smart Grid and Revenue Assurance (CERA-SG) [77594]
- ERA-Net Smart Grids Plus, Experimental validation of a propulsion system with hydrogen fuel cell for a light vehicle Mobility with Hydrogen Demonstrator [PNIII P2-2.1-PED-2016-1223]
- ERA-Net Smart Grids Plus, System for acquisition, monitoring, analysis and recognition of the vibration protection of critical infrastructure [PN-III-P2-2.1-PTE- 2016-0215]
- Erasmus + project Innovative European Studies on Renewable Energy Systems [2015-1-TR01-KA203-021342]
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This paper presents the capability of the Asymptotic Perturbed Extremum Seeking Control (aPESC) scheme to track the Global Extreme on multimodal patterns. The multimodal patterns are simulated based on power characteristics generated by a photovoltaic (PV) array under Partial Shading Conditions (PSCs). The aPESC scheme is tested to evaluate the performance of locating, searching and tracking of the Global Maximum Power Point (GMPP). The following performance indicators such as the searching resolution, tracking accuracy, tracking efficiency, and tracking speed are used to compare the performance of the GMPP tracking (GMPPT) algorithms. The aPESCH1 scheme proposed has been implemented in MATLAB/Simulink package to evaluate the performance indicators mentioned above. The results prove that the proposed aPESCH1 scheme is effective and simple to be implemented. (C) 2016 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
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