Solving Combined Economic and Emission Load Dispatch Using Cohesive Meta-heuristic Approach

Abstract

This paper proposes a new approach of solving optimization problem especially in combined economic emission load dispatch (CEELD) called cohesive meta-heuristic. CEELD is one of the challenging power system operation problems which considering the minimization of cost of power generation as well as emission level simultaneously. These two objectives are contrary each other which is difficult to solve and for this paper, these two objectives are convert into a single objective by introducing weightage and cost penalty factor. Cohesive meta-heuristic on the other hand is the new terminology of cooperation of existing meta-heuristic algorithms to obtain a better solution. In order to show the effectiveness of proposed method, 40-units generators system will be utilized and compared with the other methods. KeywordsBarnacles mating optimizer • Cohesive meta-heuristic • Combined economic & emission dispatch • Grey wolves optimizer • Moth flame optimizer 1 IntroductionEconomic Load Dispatch (ELD) problem is one of the challenging tasks in power system operation. The main objective of ELD is to find the optimal combination of power generations so that the minimum cost can be obtained. Since most of the power system generations in the world still using the thermal type of generators that can eventually give bad impacts to the environmental issue, the ELD research is extended to not only to find best combination of power output that minimize the cost, but also minimize the emission to the environment, called as Economic and Emission Load Dispatch (EELD). EELD can be solve in two ways: by using multi-objective approach and combined them into single objective called Combined Economic &