Programs
- M. Tech. in Automotive Engineering -
- Clinical Fellowship in Laboratory Genetics & Genomics - Fellowship
Publication Type : Conference Paper
Source : 13th National Conference on Technological Trends (NCTT)
Url : https://irjet.com/archives/V2/i7/IRJET-V2I7173.pdf
Campus : Coimbatore
School : School of Artificial Intelligence
Year : 2012
Abstract : The use of renewable energy technology to meet the energy demands has been increasing for the past few years. However, the important drawbacks associated with renewable energy systems are their inability to guarantee reliability and their intermittent nature. At present, standalone solar photovoltaic and wind systems have been promoted on a larger scale. Standalone solar photovoltaic energy system cannot provide reliable power during night time or non-sunny days. The standalone wind system cannot satisfy constant load demands due to fluctuations in the magnitude of wind speeds from hour to hour throughout the year. Therefore, energy storage systems will be required for each of these systems in order to satisfy the power demands which are expensive and the size has to be reduced to a minimum possible for the renewable energy system to be cost effective. Hybrid power systems can be used to reduce energy storage requirements and for economical operation it is desirable to operate the system in its maximum power point value. The proposed method is to operate the wind solar hybrid system at its maximum power point by using sufficient power electronic devices and corresponding control method. The system is modeled in MATLAB SIMULINK and simulation results show that maximum power is tracked from a hybrid system at varying environmental conditions.
Cite this Research Publication : Binu Krishnan U, A Bisharath Beevi, "Maximum power point tracking of grid connected solar wind hybrid system," 13th National Conference on Technological Trends (NCTT) 2012, College of Engineering, Trivandrum.