A hybrid genetic algorithm for optimal reactive power planningbased upon successive linear programming

摘要

A hybrid methodology is presented for the solution of the problemnof the optimal allocation of reactive power sources. The technique isnbased upon a modified genetic algorithm, which is applied at an uppernlevel stage, and a successive linear program at a lower level stage. Thenobjective is the minimization of the total cost associated to theninstallation of the new sources. The genetic algorithm is devoted tondefining the location of the new reactive power sources, and thereforento handle the combinatorial nature of the fixed costs problem. At thenlower level, the variable cost problem is solved by calculating thenmagnitude of the sources to be installed at the previously determinednlocations by means of a linear program iterated successively with a fastndecoupled load flow. Results are presented for the application of thenproposed methodology when applied to the Venezuelan electric network