Hybrid of Lambda Iteration and Meta-Heuristic Methods for Solving Economic Dispatch Problem

摘要

New optimization algorithms for solving the economic dispatch problem are presented. The constraints of economic dispatch consist of power balance, generator rating, load demand, and transmission loss. In the proposed algorithms, a lambda iteration method is used to find the initial values for the meta-heuristic methods: BCO, PSO, and GA. This process results in the solution boundary being reduced. To verify the effectiveness of the proposed algorithm, two case studies with three and six generators were tested. The simulation results showed that the proposed algorithms can provide better solutions than the others in terms of convergence rate and generation outputs.