This paper is focused on grid integration of a hybrid photovoltaic (PV) and doubly fed induction generator (DFIG) based wind energy system. An intelligent controller was developed to generate maximum power from the above renewable energy sources and to solve the grid integration issue while improving the generated power quality. This paper has three major parts. The first pertains the design of a fuzzy logic controller to maximize power point tracking of photovoltaic power system and to generate maximum power under various weather conditions. The second part explains the design of a fuzzy logic controller for DFIG based wind energy conversion system to improve the system performance. The third part integrates the above two renewable energy sources and develop a hybrid fuzzy logic controller for solving grid integration issues and improving the power quality. The proposed system simulation results are evaluated with IEEE 1547 standard for showing the effectiveness of the system. The fuzzy controller has been developed for maximum power point tracking for 10 KW photovoltaic power systems and analysed with various weather conditions.
All Science Journal Classification (ASJC) codes
- Numerical Analysis
- Computer Science Applications
- Computational Theory and Mathematics
- Applied Mathematics