Solving Combined Economic and Emission Dispatch Problem Using the Slime Mould Algorithm

Abstract

In this paper, a novel optimization method called Slime Mould Algorithm (SMA) for solving the ELD and CEED problem is presented. To investigate the effectiveness of the proposed algorithm, the 10 and 40 units considering the valve point loading effect test has been executed. The solving the Economic Load Dispatch (ELD) and Combined Economic and Emission Dispatch (CEED) are crucial task in modern power systems. The aim of ELD is assigning the best generation scheduling for minimum cost generation with satisfying the load demands while the CEED means assigning the best generation scheduling for cost and emission reduction simultaneously. The effectiveness of the proposed algorithm is compared with other algorithms.

Modified Social Group Optimization to Solve the Problem of Economic Emission Dispatch with the Incorporation of Wind Power

“…the best compromise solution determined by SGO and MSGO. Comparison of solutions from the Pareto front of MSGO with BCSs obtained using other algorithms: In the case of C1c, in order to test the ability of MSGO to identify solutions from the Pareto front, it was compared with BCSs obtained using a group of algorithms (denoted G1) presented in the literature G1 = {EMOCA [24], MODE [42], NSGA II [42], TLBO [26], GSA [70], PDE [42], SMA [71], εv-MOGA [49], SPES-2 [42]}. To highlight the Pareto front solutions obtained using MSGO and BCSs obtained using competing algorithms in the G1 group, in Figure 6, a detail of the Cost-Emission plan is shown.…”