Table of Contents
ISRN Renewable Energy
Volume 2012, Article ID 148563, 13 pages
Research Article

Online Hierarchical Controller for Hybrid Power System

Al Baha University, P.O. Box 1988, Al Baha 61008, Saudi Arabia

Received 5 September 2012; Accepted 23 September 2012

Academic Editors: B. Chen and A. Stoppato

Copyright © 2012 Salem Zerkaoui. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper presents the basis for the development of an intelligent and autonomous energy management strategy for hybrid power system (HPS). Two hierarchical levels are proposed to control and manage the HPS. The low level is performed by a local control unit (DC-DC converters controller) of the different power sources. Dynamic equations describing the coupling of converters are derived, and a robust sliding mode dynamic controller is designed. The high level is performed by the online supervisor unit. This unit is designed by applying on-line Takagi-Sugeno fuzzy logic principles. As a result the robust control system gets rid of the limits of the HPS, which has the imprecision, uncertainty, strong coupling, and nonlinearity, to achieve its tractability, robustness, and low solution cost. Under the operation constraints related to each type of sources, the simulation results show that the optimal operation objective of HPS has been achieved.