A Modified Ant Lion Optimization Technique for Economic Emission Dispatch Including Biomass

Abstract

Economic load and emission dispatch (ELED) method is playing a crucial role in power systems operation. The main objective of ELED is to schedule the committed generating units to supply power at optimum operation and minimum fossil fuel emission. In this paper, biomass energy is integrated gradually into an IEEE 30 bus test system comprising 6 generating units to reduce the conventional fuel ratio and maintain the total generated power up to seven hundred megawatts. Adding biomass as a fuel will drastically reduce the emissions from the conventional fossil fuels. The model consists of the fuel cost objective function, emission-level target produced by conventional thermal generators and the operational cost generated partially by biomass. The effectiveness of the suggested ELED model is tested on the conventional thermal generation system and the modified biomass-thermal power generation system using a modified ant lion optimization algorithm (MALO). The results of the optimized ELED biomass-using MALO are tested and validated using three different optimization techniques. These techniques are Simulated Annealing (SA), BAT and Quadratic Programming and Equal Increment Cost Criterion (QPEICC) algorithms. The results prove the effectiveness of the integrated biomass model based on MALO algorithm by minimizing the emission value, the fuel cost, and the power losses.