Lyapunov-based switched extremum seeking for photovoltaic power maximization

被引：59

作者：

Moura, Scott J. ^{[1
]}

Chang, Yiyao A. ^{[2
]}

机构：

[1] Univ Calif San Diego, La Jolla, CA 92093 USA

[2] Natl Instruments, Sci Res & Lead User Programs, Austin, TX 78759 USA

来源：

CONTROL ENGINEERING PRACTICE | 2013年 / 21卷 / 07期

关键词：

Adaptive control; Nonlinear control; Lyapunov methods; Photovoltaic systems; Renewable energy; POINT TRACKING; SYSTEMS; OPTIMIZATION; MODEL; MPPT;

D O I：

10.1016/j.conengprac.2013.02.009

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a practical variation of extremum seeking (ES) that guarantees asymptotic convergence through a Lyapunov-based switching scheme (Lyap-ES). Traditional ES methods enter a limit cycle around the optimum. Lyap-ES converges to the optimum by exponentially decaying the perturbation signal once the system enters a neighborhood around the extremum. As a case study, we consider maximum power point tracking (MPPT) for photovoltaics. Simulation results demonstrate how Lyap-ES is self-optimizing in the presence of varying environmental conditions and produces greater energy conversion efficiencies than traditional MPPT methods. Experimentally measured environmental data is applied to investigate performance under realistic operating scenarios. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：971 / 980

页数：10

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