Solar-Thermal Power Scheduling by Inserting α-Constrained Method to Nonlinear Simplex Method with Mutations

Sun is the biggest source of renewable energy, which is sustainable, inexhaustible, readily available, free of cost, non-polluting and most abundant. Earth and its atmosphere are continuously accepting about 1.7 X 10(17) W solar radiations. If only one percent of these radiations can be transformed into electrical energy with 10 percent efficiency, then all the energy needs of the whole world can be fulfilled. A few years ago, it wasn't used more frequently as an electrical power source because of its unreliability. Now modern technology has changed the picture to a great extent. Solar PV has become the most competitive choice for power generation in increasing number of sites for residential and commercial purposes. Many countries have inducted ample solar power into their electrical grids to reduce their dependence on fossil fuels. In this paper, economic- environmental, solar-thermal power scheduling problem of an integrated system is recommended and it is optimized by using alpha- constrained simplex method, which is composed after inserting alpha -constrained method to nonlinear simplex method along with mutations. Justifiability of the presented method has been tested on five test systems.