Economic emission dispatch by modified imperialistic competition algorithm considering carbon capture power plants

Abstract

With the advent of carbon capture and storage technology (CCS), carbon capture power plant (CCPP) has become a vital part of modern day power systems. However, introduction of CCPPs in power systems has a significant impact on dispatch strategies as CCS consumes energy for their operation though they reduce emission. In this work a Modified Imperialistic Competition Algorithm (MICA) based solution procedure is proposed for solving multi-objective Economic Emission Dispatch problem (EED) in a power system with CCPP. A fuzzy set theory based selection method is adopted for selecting the best compromise solution out of a set of non-dominated Pareto solutions of EED problem. Proposed approach is implemented on a 6-generator test system. Results demonstrate the effects of CCPP on economy and emission of the system and effectiveness of MICA in handling multi-objective non-linear optimization problems.