A Solution to Combined Economic Emission Dispatch (CEED) problem using Grasshopper Optimization Algorithm (GOA)

Abstract

The Combined Economic Emission Dispatch (CEED) is a big issue of optimization of the power system service preparation. CEED 's working approach is to determine the best strategy for active generation of engaged units while taking into account both the objectives of reducing cost generation and emission content. This is highly complicated and multi constrained problem. In this paper the solution of CEED are presents by using Grasshopper Optimization Algorithm (GOA). The efficacy of this algorithm was examined by its implementation on three separate standard IEE test system units, such as IEEE three-unit system, IEEE six-unit system and IEEE ten-unit system, the results of which are compared with other meta-heuristic techniques. The distinguished feature of comfort zone operator of GOA assists in extracting stupendous simulations results of minimized fitness of multi objective functions illustrating the efficiency of GOA in term of highly optimal and feasible solution satisfying all the system equality and inequality operational constraint.