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10007208
Non-Convex Multi Objective Economic Dispatch Using Ramp Rate Biogeography Based Optimization
Abstract:
Multi objective non-convex economic dispatch problems of a thermal power plant are of grave concern for deciding the cost of generation and reduction of emission level for diminishing the global warming level for improving green-house effect. This paper deals with ramp rate constraints for achieving better inequality constraints so as to incorporate valve point loading for cost of generation in thermal power plant through ramp rate biogeography based optimization involving mutation and migration. Through 50 out of 100 trials, the cost function and emission objective function were found to have outperformed other classical methods such as lambda iteration method, quadratic programming method and many heuristic methods like particle swarm optimization method, weight improved particle swarm optimization method, constriction factor based particle swarm optimization method, moderate random particle swarm optimization method etc. Ramp rate biogeography based optimization applications prove quite advantageous in solving non convex multi objective economic dispatch problems subjected to nonlinear loads that pollute the source giving rise to third harmonic distortions and other such disturbances.
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References:

[1] Nagendra Singh, Yogendra Kumar, “Constrained Economic Load Dispatch Using Evolutionary Technique”, Asian Journal of Technology & Management Research (ISSN: 2249 –0892) Vol. 03 – Issue: 02 (Jul - Dec 2013).
[2] Aniruddha Bhattacharya, Member, IEEE, and Pranab Kumar Chattopadhyay, “Biogeography-Based Optimization for Different Economic Load Dispatch Problems”, IEEE Transactions On Power Systems, Vol. 25, No. 2, May 2010. .
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[7] Ali Nazari, Amin Hadidi, “Biogeography Based Optimization Algorithm for Economic Load Dispatch of Power System” American Journal of Advanced Scientific Research, Vol. 1, Issue. 3, pp. 99-105, 2012.
[8] Bhuvnesh Khokhar, K. P. Singh Parmar, Surender Dahiya, “Application of Biogeography-based Optimization for Economic Dispatch Problems”, International Journal of Computer Applications (0975 – 888), Volume 47– No.13, June 2012.
[9] Hardiansyah, “A Modified Particle Swarm Optimization Technique for Economic Load Dispatch with Valve-Point Effect”, I.J. Intelligent Systems and Applications, 2013, 07, 32-41 Published Online June 2013 in MECS DOI:10.5815/ijisa.2013.07.05.
[10] Jyoti Jain, Rameshwar Singh, “Biogeography-Based Optimization Algorithm for Load Dispatch in Power System”, International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 7, July 2013)
[11] Bhuvnesh Khokhar, K. P. Singh Parmer, Surrender Dahiya, “Application of Biogeography-based Optimization for Economic Dispatch Problems”, International Journal of Computer Applications (0975 – 888) Volume 47– No.13, June 2012.
[12] Hardiansyah, “Solving Economic Dispatch Problem with Valve-Point Effect using a Modified ABC Algorithm”, International Journal of Electrical and Computer Engineering, Vol 3(3), pp.377-385, June 2013.
[13] G. Sreenivasan, Dr. C. H. Saibabu, Dr.S. Sivanagaraju, “Solution of Dynamic Economic Load Dispatch (DELD) Problem with Valve Point Loading Effects and Ramp Rate Limits Using PSO” International Journal of Electrical and Computer Engineering (IJECE) Vol.1, No.1, pp. 59-70, September 2011.
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