Convex economic emission dispatch using particle swarm optimization with time varying acceleration coefficients

In this paper, particle swarm optimization with time varying acceleration coefficients (PSO-TVAC) is applied for solving the combined economic and emission dispatch problem with convex cost function. The proposed PSO-TVAC method utilizes a novel parameter automation strategy to efficiently control the local and global search, such that premature convergence is avoided and global solutions are achieved. The proposed approach is applied for solving the EED problem considering 11-unit test system. The results of the proposed method are compared with other methods. The satisfying comparative results demonstrate the effectiveness of the proposed method.