z-logo
open-access-imgOpen Access
Multifunction converter based on Lyapunov function used in a photovoltaic system
Author(s) -
Trung Nhan Nguyen,
An Luo
Publication year - 2014
Publication title -
turkish journal of electrical engineering and computer sciences
Language(s) - English
Resource type - Journals
eISSN - 1303-6203
pISSN - 1300-0632
DOI - 10.3906/elk-1210-7
Subject(s) - photovoltaic system , lyapunov function , correctness , computer science , control theory (sociology) , controller (irrigation) , harmonic , reliability (semiconductor) , distributed generation , harmonics , grid , power (physics) , function (biology) , control engineering , renewable energy , nonlinear system , engineering , control (management) , voltage , electrical engineering , mathematics , quantum mechanics , evolutionary biology , agronomy , programming language , physics , geometry , biology , artificial intelligence
The development of distributed generations (DGs) is essential to help solve energy crises and improve the reliability of electricity supplies. However, the involvement of a DG in a grid along with an increase of the nonlinear load will reduce the power quality. To solve this problem, we want the converter used in the DG to work exibly, intelligently, and more accurately. To contribute to the improvement of quality of the DG, this paper proposes a multifunction converter (MFC) model. With the proposed model, the photovoltaic generator, which can be operated at harmonic suppression, and the power injection are more exible than in the conventional controller used in DG. The controller of the MFC, which is designed based on the Lyapunov function, always ensures the stability of the system. Simulations and experimental results are presented to validate the correctness and eectiveness of the proposed model.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom