تعداد نشریات | 418 |
تعداد شمارهها | 9,997 |
تعداد مقالات | 83,560 |
تعداد مشاهده مقاله | 77,800,502 |
تعداد دریافت فایل اصل مقاله | 54,843,309 |
Per Unit Coding for Combined Economic Emission Load Dispatch using Smart Algorithms | ||
International Journal of Smart Electrical Engineering | ||
مقاله 3، دوره 05، شماره 01، اردیبهشت 2016، صفحه 11-21 اصل مقاله (430.74 K) | ||
نوع مقاله: Research Paper | ||
نویسندگان | ||
Naser Ghorbani* 1؛ Ebrahim Babaei2؛ Sara Laali3؛ Payam Farhadi4 | ||
1Eastern Azarbayjan Electric Power Distribution Company, Faculty of Electrical and Computer Engineering, University of Tabriz | ||
2Faculty of Electrical and Computer Engineering, University of Tabriz, | ||
3Faculty of Electrical and Computer Engineering, University of Tabriz | ||
4Young Researchers Club, Parsabad Moghan Branch, Islamic Azad University | ||
چکیده | ||
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. | ||
کلیدواژهها | ||
Smart grid Economic emission dispatch؛ Multi-objective؛ Optimization؛ particle swarm optimization؛ per unit coding | ||
آمار تعداد مشاهده مقاله: 932 تعداد دریافت فایل اصل مقاله: 953 |