Solving Non-convex Power Economic DispatchProblem using Fruit Fly Optimization Algorithm

Solving power economic dispatch (PED) problem isone of the most important issues in power system operations.Mainly it is an optimization problem whose main objective istotal generation cost reduction of units, while satisfyingconstraints. The practical PED problems have non convexobjective functions with equality and inequality constraints thatmake it much harder to find the global optimum using anymathematical algorithms. Many researches are in theliteratureto solve the PED problem. However, modern optimizationalgorithms are often meta-heuristic, and they are very promisingin solving non-convex programming problems. Here, the powereconomic dispatch problem formulation comprises the nonconvexobjective function torepresent real world problems. Thispaper presents a novel approach to determine the feasibleoptimal solution of the non-convex PED problems using therecently developed Fruit Fly Optimization Algorithm (FOA). Theeffectiveness of the proposed algorithm is demonstrated on twotest cases consisting of 6 and 15 generating units with non-convexcost functions. The results of the proposed algorithm arecompared with other algorithms reported in the literature. Theresults substantiate that the proposed algorithm is capable ofyielding promising solution

کلیدواژه ها:

Non-convex Optimization ، Power EconomicDispatch ، nonlinear Constrained ، Fruit Fly OptimizationAlgorithm