Abstract:
In this paper, an efficient quadratic programming has been used for solving economic dispatch problem. The main aim is to obtain minimum fuel cost and emission. Economic emission load dispatch (EELD) problem is solved to minimize the emission of nitrogen oxides and fuel cost, considering both thermal generators and wind turbines. To find the optimum emission dispatch, optimum fuel cost, best compromising emission and fuel cost, a newly developed optimization technique, called Quadratic Programming Method (QPM) has been applied. QPM is based on the Wolfe Modified Simplex Method and Iteration Process. The bus system having six conventional thermal generators has been considered as test system. After placing the wind power sources, those buses have been considered as generator bus. Minimum fuel cost, minimum emission and best compromising solution obtained by QPM.

Keywords: Economic Emission Dispatch, Quadratic Programming, Wolfe’s method