Title :
Multi-objective optimum generation scheduling using Ant Lion Optimization
Author :
Nitish Chopra;Shivani Mehta
Author_Institution :
Electrical department, D.A.V.I.E.T, Jalandhar, India
Abstract :
This paper presents ant lion optimization method for multi-objective optimum generation scheduling problem (MOGS) in various test power systems. Ant Lion Optimization (ALO) is a novel meta-heuristic motivated by hunting mechanism of ant lions in nature. Diverse emission gases considered for the case studies are SOx, NOx and COx. The proposed technique is applied on different test systems for solving the MOGS. Comparison of the obtained results is carried out with other techniques stated in literature which shows that ALO is effective to solve MOGS.
Keywords :
"Optimal scheduling","Generators","Job shop scheduling","Fuels","Partial discharges","Mathematical model","Economics"
Conference_Titel :
India Conference (INDICON), 2015 Annual IEEE
Electronic_ISBN :
2325-9418
DOI :
10.1109/INDICON.2015.7443839
