Optimal allocation of thermal generating units through Shuffled Frog Leaping Algorithm

Abstract

Most of the electric utilities have used an Integrated Resource Planning (IRP) tactic to spot the finest blend of demand and supply in order to certify system resource competence and consistency at a reasonable cost over a planning horizon. It is the best resource planning carried out by power utilities which take into account the supply-side and demand-side resources as a whole, so as to use them in an efficient, economic and rational way and under the principle of maintaining the energy service level to minimize the total cost of the plan. This paper presents a new loom for the solution of the economic load dispatch problem with a valve-paint effect using Shuffled Frog Leaping Algorithm. Evolutionary algorithms which are being used in many applications in the present decade, to have more optimized value in certain applications. The power system is one such application where the evolutionary algorithms are giving better results than conventional methods. Many meta-heuristic algorithms are available to provide a solution to the economic load dispatch problem. But they are lagging in computational time. In this paper, Shuffled Frog Leaping Algorithm (SFLA) is used to solve the ELD problem which provides optimized results in a fraction of a second. To reveal the effectiveness of the proposed approach, 3 generator system and 6 generator system are considered and the optimal values of power for each of the generator which gives minimum operating cost was found by this time effective Shuffled frog leaping algorithm.