Abstract
In this paper the invasive weed optimization algorithm has been applied to a variety of economic dispatch (ED) problems. The ED problem is concerned with minimizing the fuel cost by optimally loading the electrical generators which are committed to supply a given demand. Some involve prohibited operating zones, transmission losses and valve point loading. In general, they are non-linear non-convex optimization problems which cannot be directly solved by conventional methods. In this work the invasive weed algorithm, a meta-heuristic method inspired by the proliferation of weeds, has been applied to four numerical examples and has resulted in promising solutions compared to published results.
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Lee F N, Breipohl A M. Reserve constrained economic dispatch with prohibited operating zones. IEEE Transactions on Power Systems, 1993, 8(1): 246–254
Fan J Y, McDonald J D. A practical approach to real time economic dispatch considering unit’s prohibited operating zones. IEEE Transactions on Power Systems, 1994, 9(4): 1737–1743
Orero S O, Irving M R. Economic dispatch of generators with prohibited operating zones: a genetic algorithm approach. IEE Proceedings. Generation, Transmission and Distribution, 1996, 143(6): 529–534
Jayabarathi T, Sadasivam G, Ramachandran V. Evolutionary programming based economic dispatch of generators with prohibited operating zones. Electric Power Systems Research, 1999, 52(3): 261–266
Liang Z X, Glover J D. A zoom feature for a dynamic programming solution to economic dispatch including transmission losses. IEEE Transactions on Power Systems, 1992, 7(2): 544–550
Yang X S, Hosseini S S S, Gandomi A H. Firefly algorithm for solving non-convex economic dispatch problems with valve loading effect. Applied Soft Computing, 2010, 12(3): 1180–1186
Jeyakumar D N, Jayabarathi T, Raghunathan T. Particle swarm optimization for various types of economic dispatch problems. International Journal of Electrical Power & Energy Systems, 2006, 28(1): 36–42
Sinha N, Chakrabarti R, Chattopadhyay P K. Evolutionary programming techniques for economic load dispatch. IEEE Transactions on Evolutionary Computation, 2003, 7(1): 83–94
Mehrabian A R, Lucas C. A novel numerical optimization algorithm inspired from weed colonization. Ecological Informatics, 2006, 1(4): 355–366
Ghosh A, Das S, Chowdhury A, Giri R. An ecologically inspired direct search method for solving optimal control problems with Bézier parameterization. Engineering Applications of Artificial Intelligence, 2011, 24(7): 1195–1203
Mehrabian A R, Yousefi-Koma A. A novel technique for optimal placement of piezoelectric actuators on smart structures. Journal of the Franklin Institute, 2011, 348(1): 12–23
Basak A, Pal S, Das S, Abraham A, Snasel V. A modified invasive weed optimization algorithm for time-modulated linear antenna array synthesis. In: Proceedings of 2010 IEEE Congress on Evolutionary Computation, Barcelona, Spain, 2010, 1–8
Kundu D, Suresh K, Ghosh S, Das S, Panigrahi B K, Das S. Multiobjective optimization with artificial weed colonies. Information Sciences, 2011, 181(12): 2441–2454
Sedighy S H, Mallahzadeh A R, Soleimani M, Rashed-Mohassel J. Optimization of printed yagi antenna using invasive weed optimization (IWO). IEEE Antennas and Wireless Propagation Letters, 2010, 9: 1275–1278
Hajimirsadeghi H, Lucas C. A hybrid IWO/PSO algorithm for fast and global optimization. In: Proceedings of IEEE EUROCON 2009. St. Petersburg, Russia, 2009, 1964–1971
Giri R, Chowdhury A, Ghosh A, Das S, Abraham A, Snasel V. A modified invasive weed optimization algorithm for training of feed-forward neural networks. In: Proceedings of 2010 IEEE International Conference on Systems Man and Cybernetics, Istanbul, Turkey, 2010, 3166–3173
Sharma R, Nayak N, Krishnanand K R, Rout P K. Modified invasive weed optimization with dual mutation technique for dynamic economic dispatch. In: Proceedings of 2011 International Conference on Energy, Automation, and Signal (ICEAS). Bhubaneswar, India, 2011, 1–6
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Jayabarathi, T., Yazdani, A. & Ramesh, V. Application of the invasive weed optimization algorithm to economic dispatch problems. Front. Energy 6, 255–259 (2012). https://doi.org/10.1007/s11708-012-0202-1
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DOI: https://doi.org/10.1007/s11708-012-0202-1