Multi-objective optimum generation scheduling using Ant Lion Optimization

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.

[1]  Seyed Mohammad Mirjalili,et al.  The Ant Lion Optimizer , 2015, Adv. Eng. Softw..

[2]  A. T. Johns,et al.  Environmental/economic dispatch using fuzzy logic controlled genetic algorithms , 1997 .

[3]  M. Abido.  Environmental/economic power dispatch using multiobjective evolutionary algorithms , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[4]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[5]  Sheng Liu,et al.  A New Solution to Economic Emission Load Dispatch Using Immune Genetic Algorithm , 2006, 2006 IEEE Conference on Cybernetics and Intelligent Systems.

[6]  Bijay Ketan Panigrahi,et al.  Artificial bee colony optimization for combined economic load and emission dispatch , 2011 .

[7]  P. K. Chattopadhyay,et al.  Application of Biogeography-based Optimization for Solving Multi-objective Economic Emission Load Dispatch Problems , 2010 .

[8]  J. Nanda,et al.  ECONOMIC-EMISSION LOAD DISPHTCH THROUGH GOAL PROGRAMMING TECHNIIJUES , 1988 .

[9]  N. Kumarappan,et al.  ANN approach applied to combined economic and emission dispatch for large-scale system , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

[10]  M. A. Abido,et al.  A niched Pareto genetic algorithm for multiobjective environmental/economic dispatch , 2003 .

[11]  O. Abedinia,et al.  Multi-objective Environmental/Economic Dispatch using firefly technique , 2012, 2012 11th International Conference on Environment and Electrical Engineering.

[12]  H.C.S. Rughooputh,et al.  Elitist multiobjective evolutionary algorithm for environmental/economic dispatch , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[13]  N. Thenmozhi,et al.  Economic emission load dispatch using hybrid genetic algorithm , 2004, 2004 IEEE Region 10 Conference TENCON 2004..

[14]  Taher Niknam,et al.  $\theta$-Multiobjective Teaching–Learning-Based Optimization for Dynamic Economic Emission Dispatch , 2012, IEEE Systems Journal.

[15]  H.C.S. Rughooputh,et al.  Environmental/economic dispatch of thermal units using an elitist multiobjective evolutionary algorithm , 2003, IEEE International Conference on Industrial Technology, 2003.

[16]  A.K. Sinha,et al.  Environmental Constrained Economic Dispatch using Bacteria Foraging Optimization , 2008, 2008 Joint International Conference on Power System Technology and IEEE Power India Conference.

[17]  J.R. Cedeno-Maldonado,et al.  Differential evolution based economic environmental power dispatch , 2005, Proceedings of the 37th Annual North American Power Symposium, 2005..

[18]  Mohamed E. El-Hawary,et al.  Emission-Economic Dispatch using a Novel Constraint Handling Particle Swarm Optimization Strategy , 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

[19]  S. Hemamalini,et al.  Emission constrained economic dispatch with valve-point effect using particle swarm optimization , 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.