DocumentCode :
2215640
Title :
Intelligence technique to solve combined economic and emission dispatch
Author :
Gopalakrishnan, R. ; Krishnan, A.
Author_Institution :
Dept. of EEE, KSR Coll. of Eng., Tiruchengode, India
fYear :
2012
fDate :
21-23 March 2012
Firstpage :
347
Lastpage :
352
Abstract :
A power system operation at minimum cost is no longer the only measure for electrical power dispatch. Combined Economic Emission Dispatch (CEED) problem is attained by considering both the economy and emission objectives with necessary constraints. The stability of the power system is also considered as an important factor in the performance of the power system. Several optimization techniques are slow for such complex optimization tasks and are not suitable for on-line use. This paper presents an effective optimization algorithm, for solving security constrained combined economic emission dispatch problem. Also, the power system stability plays an important role in power system. Power system stability criteria are also considered in this paper for better performance of the entire power system. In this paper, an efficient optimization technique called Modified Artificial Bee Colony Optimization is used to solve the CEED problem. The performance of the proposed approach is compared with the other optimization techniques. The experimental result shows that the proposed system results in better solution for CEED problem with the maintenance of system stability.
Keywords :
optimisation; power generation dispatch; power system stability; CEED; combined economic emission dispatch problem; electrical power dispatch; intelligence technique; modified artificial bee colony optimization; power system operation; power system stability criteria; Economics; Generators; Genetic algorithms; Optimization; Power system stability; Production; Stability criteria; Artificial Bee Colony Optimization; Economic Dispatch; Emission Dispatch; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, Informatics and Medical Engineering (PRIME), 2012 International Conference on
Conference_Location :
Salem, Tamilnadu
Print_ISBN :
978-1-4673-1037-6
Type :
conf
DOI :
10.1109/ICPRIME.2012.6208370
Filename :
6208370
Link To Document :
بازگشت