A novel intelligent fuzzy logic based load frequency control and frequency corrected short term wind power forecasting

Abstract

Air pollutants like CO2, NO2 etc., produced by fossil fuel based newlinepower plants result in severe environmental issues like acid rain and global newlinewarming. These issues have made the governments and other industries all newlinearound the world to graze towards the utilization of Renewable Energy newlineSources (RES) for electrical power generation. newlineGenerally, integrating RES s in a power system decreases newlinedependence on fossil fuel, improves voltage profile and increase the reliability newlineof power system. The high penetration of RESs can lead to critical frequency newlinestability challenges. Consequently, there may be serious issues with frequency newlinestability as a result of the substantial penetration of RESs. Power electronics newlinebased converters are typically used to connect these variable speed wind newlineturbines with the power network, which can effectively decouple the inertia of newlinethe wind turbine from reducing system transients. As a result, switching to newlineRESs from conventional sources will result in less inertia. Due to this newlinereduction in inertia, Rate of Change of Frequency (ROCOF) in a power newlinesystem could activate the load shedding controller even when the system is newlineunbalanced. newline