Performance analysis of the tracking of the global extreme on multimodal patterns using the Asymptotic Perturbed Extremum Seeking Control scheme

Bizon N., KURT E.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, vol.42, no.28, pp.17645-17654, 2017 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 42 Issue: 28
  • Publication Date: 2017
  • Doi Number: 10.1016/j.ijhydene.2016.11.173
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.17645-17654
  • Keywords: Extremum Seeking Control (ESC), Photovoltaic (PV), Partially Shaded Conditions (PSCs), Global Maximum Power Point Tracking (GMPPT), Multimodal pattern, MAXIMUM POWER POINT, PHOTOVOLTAIC SYSTEMS, FUEL-CELL, ENERGY, ALGORITHM, DESIGN, MODEL
  • Gazi University Affiliated: Yes


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.