Per Unit Coding for Combined Economic Emission Load Dispatch using Smart Algorithms
محورهای موضوعی : مهندسی هوشمند برق
Naser Ghorbani
1
(Eastern Azarbayjan Electric Power Distribution Company,
Faculty of Electrical and Computer Engineering, University of Tabriz)
Ebrahim Babaei
2
(Faculty of Electrical and Computer Engineering, University of Tabriz,)
Sara Laali
3
(Faculty of Electrical and Computer Engineering, University of Tabriz)
Payam Farhadi
4
(Young Researchers Club, Parsabad Moghan Branch, Islamic Azad University)
کلید واژه: particle swarm optimization, Optimization, Multi-objective, Smart grid Economic emission dispatch, per unit coding,
چکیده مقاله :
This paper proposes per unit coding for combined economic emission load dispatch problem. In the proposed coding, it is possible to apply the percent effects of elements in any number and with high accuracy in objective function. In the proposed per unit coding, each function is transformed into per unit form based on its own maximum value and has a value from 0 to 1. In this paper, particle swarm optimization is used for solving economic emission load dispatch problem. In order to show the advantages of the proposed method, 25 independent case studies are conducted on systems holding three and six power units with different influence percentages of each function are investigated. The obtained results are compared with those of other methods such as Biogeography Based Optimization, Tabu Search, NSGA-II and etc. The obtained results properly show the superiority of the proposed method to combine economic emission dispatch problem over the penalty factor technique and other conventional combined approaches.
