Fuzzy logic based intelligent energy monitoring and control for renewable energy

Renewable energy is an essential area of development in many countries and has attracted a great deal of investment. The use of micro-generator wind turbines is encouraged for individuals to set up their own power generator which will create a positive environmental impact. Power generated from a micro-generator can also be exported back to the national grid with many micro-generation schemes available. The export capacity is usually restricted by these schemes, which require resistive load banks (energy dumps) to be employed to limit the export capacity back to the grid. This leads to energy wastage and resource in-efficiency. To overcome this problem there is a need to measure levels of electricity generation and facility power requirements and provide advanced control. In this paper, we will present a singleton type-1 Fuzzy logic system which monitors the energy generated by a wind turbine, and controls distribute it efficiently power loads which are required and send the excessive energy back to the grid, while avoiding energy dumping. The complete fuzzy logic control system has been developed and performances have been evaluated.