Optimal Power Dispatch Solution Through Multi Objective Formulation

摘要

This paper deals with a multi-objective solution for power dispatch complexity. This complexity is represented in terms of a nonlinear constraints based optimization considering real power losses, operational cost (Fuel Cost) of generation, and emissions (like NOx, COx and SOx) are to be minimized simultaneously. An approach based on Non-Dominated Sorting Genetic Algorithm (NSGA-II) has been presented in this paper to tackle the problem. It serves as a true multi-objective solution for complex and precise objective. Moreover solution to such problem has been solved by fuzzy set theory approach extorting one of the Pareto optimal solution as the optimal solution. This multi-objective algorithm is applied on the six generators test system. The obtained results are viable and have potential to solve multi-objective power dispatch problem by providing well distributed Pareto optimal front.