Zhang, Jiuchuan (2014) Modeling, design and simulation of a low cost supervisory controller for Ramea hybrid power system. Masters thesis, Memorial University of Newfoundland.
PDF (Migrated (PDF/A Conversion) from original format: (application/pdf))
- Accepted Version
Available under License - The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
Conventional energy sources, such as coal and fossil oil, are considered the main source of air pollution, and it is desired to use clean energies sources such as wind, hydro, solar, and geothermal. One problem of using renewable energies is the fluctuation problem from the sources, therefore proper modeling and controlling for renewable systems is very challenging. In this research, a low order dynamic model is developed for the Ramea hybrid power system. A detailed literature review showed that a number of researchers have used a similar approach to model and control hybrid power systems. System components are modeled in MATLAB/Simulink and represented by transfer functions and nonlinear functions for simplification purpose. Five case studies are developed based on the Matlab Simulink models. The system was simulated for five case studies, and system performance as well as transient response was analyzed. The control algorithm is based on the priority of the equipment in the system and its objective is to maximize use of renewable energy. The proposed control algorithm is deployed on a microcontroller PIC18F4550, and system outputs are represented by LEDs. Some system data is displayed on a GLCD and recorded on a microSDcard. Data can also be plotted and extracted to an excel file by running a simple MATLAB code.
|Item Type:||Thesis (Masters)|
|Additional Information:||Includes bibliographical references (pages 83-87).|
|Department(s):||Engineering and Applied Science, Faculty of|
|Library of Congress Subject Heading:||Renewable energy sources--Simulation methods; Hybrid power systems--Simulation methods;Electric power systems--Control--Simulation methods|
Actions (login required)