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2020 | OriginalPaper | Chapter

4. Global Extremum Seeking Algorithms

Author : Nicu Bizon

Published in: Optimization of the Fuel Cell Renewable Hybrid Power Systems

Publisher: Springer International Publishing

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Abstract

The main goal of this chapter is to analyze the asymptotic Perturbed-based Extremum Seeking Control (aPESC) schemes. Comparative analysis of the aPESC schemes and their variant for global search is made based on performance indicators such as searching speed, searching accuracy, tracking efficiency, and searching resolution for renewable hybrid energy systems based on renewable energy sources (such as photovoltaic and wind energy). The performance indicators such as fuel economy and electrical energy efficiency have been used for the fuel cell system. Designing and stability analysis of the global aPESC schemes is performed in case of a nonlinear system with a fast or slow dynamic part such as hybrid power systems based on renewable energy and fuel cell sources, respectively. Modeling for local search based on same case studies is also presented.

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previous chapter Optimization Algorithms and Energy Management Strategies
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Metadata
Title
Global Extremum Seeking Algorithms
Author
Nicu Bizon
Copyright Year
2020
Book
Optimization of the Fuel Cell Renewable Hybrid Power Systems

Print ISBN: 978-3-030-40240-2

Electronic ISBN: 978-3-030-40241-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-40241-9_4