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In the last two decades renewable resources have gained more attention due to continuing energy demand, along with the depletion in fossil fuel resources and their environmental effects to the planet. This paper presents a novel approach in monitoring PV power stations. The monitoring system enables system degradation early detection by calculating the residual difference between the model predicted and the actual measured power parameters. The model being derived using the MATLAB/SIMULINK software package and is designed with a dialog box to enable the user input of the PV system parameters. The performance of the developed monitoring system was examined and validated under different operating condition and faults e.g. dust, shadow and snow. Results were simulated and analyzed using the environmental parameters of irradiance and temperature. The irradiance and temperature data is gathered from a 28.8kW grid connected solar power system located on the tower block within the MMU campus in central Manchester. These real-time parameters are used as inputs of the developed PV model. Repeatability and reliability of the developed model performance were validated over a one and half year's period.