“Modeling of a Power Plant (A Case Study of Savannah Sugar Power Plant).” North-Eastern Nigeria.

The system under scrutiny in this paper is a thermal power plant in Savannah Sugar Company Numan (SSCN) factory, Nigeria. The final power output of the plant is affected by random events such as equipment failures. Whenever such random events occur, the power plant's output is unstable due to the electrical power demand by the factory instruments and estate. Unavailability of plant means shorter production periods and hence profit loss, these effects should be minimized, which is not a trivial matter because the plant is a highly complex system. This paper presents the principal dynamic phenomena that determine the model of boiler-turbine-generator system. The formation of the model is based on fundamental physical and thermodynamic laws. The nonlinear nature of the model is made up of differentials and algebraic equations, steam tables and the use of algebraic polynomial formulae provided the means of obtaining required data for the modelling. Raw data was taken from this power plant for period of two years. The derived model is realized in the MATLAB/SIMULINK 7.10 environment using the SSCN power plant raw input data. Validation result shows that the plant's outputs (Steam Pressure and Electrical Power) are within acceptable range of the manufacturer's recommended values. This model can be said to be the true representation of SSCN power plant.