Computer Science and Electrical Engineering Session:

Title:            Intelligent controller for wind-solar hybrid systems
Authors:       S. Govindaraju, A. Vasuki, K. Kavitha, S. Sangeetha
Abstract:      This paper proposes a novel algorithm for intelligent control of wind – solar energy hybrid systems. There is an urgent need to develop alternative energy sources due to rapid depletion of non-renewable sources based on fossil fuels. India, being a tropical country, both wind and solar resources are available in abundance albeit non-uniformly. Though the installation costs are high, both wind and solar systems are environment as well as eco-friendly and are examples of green and clean systems. These hybrid systems are normally employed in places where there is reasonable availability of solar as well as wind energy. Further, the outputs produced from these renewable energy sources are not uniform during the course of day and also there are seasonal variations. Therefore, it is of utmost importance to synchronize the output vis-a-vis distribution and storage. Such systems could also meet power requirements of small and standalone units. An intelligent neuro-fuzzy controller to optimize the usage of generated power has been proposed. The system stores electrical energy in a battery and also optimizes the power delivered to the load. The development of such wind – solar hybrid systems greatly mitigate the requirements of the electricity grid and also needs to be synchronized. The performance measures such as voltage, current and power delivered will be evaluated.

Keywords:    Hybrid, Intelligent Controller, Solar Systems, Wind Energy
Pages:          543-545

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