Authors : T. Sree Renga Raja , N.S. Marimuth and N. Albert Sing
Abstract: Reliable power production is critical to the profitability of electricity utilities. Power generators need to be scheduled efficiently to meet electricity demand. Economic load dispatch and economic emission dispatch have been applied to obtain optimal fuel cost and optimal emission of generating units, respectively. Combined economic emission dispatch problem is obtained by considering both the economy and emission objectives. The use of orthogonal polynomials will give a very convenient means to obtain the equivalent cost function of the generating units. This method is sufficiently accurate and easy to implement for real time operation and control of power system. A general formulation and the development of Cascade Correlation algorithm to solve the environmentally constrained dispatch problem are presented. The objective is the minimization of the cost of operation, subject to all the usual and emissions constraints. It is shown that the proposed solution technique is capable of yielding good optimal solution with proper selection of control parameters.
T. Sree Renga Raja , N.S. Marimuth and N. Albert Sing , 2007. A Novel Neural Network for Economic Load Dispatch with Environmental Constraints. International Journal of Electrical and Power Engineering, 1: 7-12.