Optimization of the power generation scheduling in oil-rig platforms using Genetic Algorithm

The paper focuses on the optimal scheduling of the diesel generators in the oil rig platform for the fuel optimization problem. The Specific Fuel Consumption (SFC) of the Diesel Generator is not properly modeled in the literature. An accurate model of SFC using cubic spline interpolation method is also presented. Optimization of fuel consumption at various loading conditions has been analyzed with efficient use of load scheduling of the diesel generators. The SFC model consists of discrete and non linear equations and hence conventional method fail to provide optimal solution. The Genetic Algorithm (GA) is proposed for the optimum load scheduling of diesel generators of both equal and unequal ratings. A comparison of all the methods is also presented to obtain the probable optimal solution of the problem. It is concluded that proposed SFC model is more accurate and GA gives better results than conventional methods. The proposed schemes can be used in marine power plant design and are equally applicable for any other technology.