Using the Barnacles Mating optimizer for economic emission load dispatch problems

• Autorzy: Sulaiman, Mohd Herwan , Mustaffa, Zuriani , Saari, Mohd Mawardi

Warianty tytułu

PL

Wykorzystanie algorytmu Barnbacles Mating do optymalizacji przesyłu energii uwzględniającej emisję

• Języki publikacji: EN

Abstrakty

EN

This paper proposes a recent nature inspired algorithm namely Barnacle Mating Optimizer (BMO) for solving the economic emission load dispatch (EELD) problems. BMO is based on the mating behaviour of barnacles and is treated as an evolutionary computation algorithm in solving the optimization problems. Three cases have been tested using the proposed BMO: 3-units, 10 -units and 40-units system and the performances of BMO are compared with other recent selected algorithms to show the effectiveness of the proposed BMO in solving the EELD problems.

PL

W artykule zaprezentowany inspirowany naturą algorytm nazwany Barnacle Mating przeznaczony do rozwiązywania problemu optymalizacji dystrybucji energii uwzglęa)dniające emisję. Analizowano trzy przypadki – system trzech, dziesięciu I czterdziestu jednostek.

Słowa kluczowe

PL

algorytm Barnacles Mating; optymalizacja przesyłu energii; emisja

EN

Barnacles Mating optimizer; economic emission load dispatch; evolutionary computation; price penalty factor

• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2020
• Tom: R. 96, nr 7
• Strony: 141--144
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Sulaiman, Mohd Herwan

• Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang 26600 Pekan Pahang, Malaysia,

autor

Mustaffa, Zuriani

• Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang 26600 Pekan Pahang, Malaysia,

autor

Saari, Mohd Mawardi

• Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang 26600 Pekan Pahang, Malaysia,

Bibliografia

• [1] M. Rahli and L. A. Koridak, "Optimization of the emission and economic dispatch by the genetic algorithm," Przegląd Elektrotechniczny, vol. 2010, p. 363, 2010.
• [2] N. Thenmozhi and D. Mary, "Economic emission load dispatch using hybrid genetic algorithm," in 2004 IEEE Region 10 Conference TENCON 2004., 2004, pp. 476-479 Vol. 3.
• [3] Q. Zhong, S. Xue, Z. Wang, J. Duan, M. Zeng, and G. Zhang, "Environmental and Economic Dispatch Model for Smart Microgrid Based on Shuffled Frog Leap Algorithm Optimized by Random Nelder Mead," Przegląd Elektrotechniczny, vol. 2013, p. 147, 2013.
• [4] M. H. Sulaiman, Z. Mustaffa, M. R. Mohamed, and N. R. H. Abdullah, "An application of Cuckoo Search Algorithm for solving combined economic and emission dispatch problem," in 2015 International Conference on Informatics, Electronics & Vision (ICIEV), 2015, pp. 1-5.
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• [6] A. Y. Abdelaziz, E. S. Ali, and S. M. Abd Elazim, "Flower pollination algorithm to solve combined economic and emission dispatch problems," Engineering Science and Technology, an International Journal, vol. 19, pp. 980-990, 2016/06/01/ 2016.
• [7] E. E. Elattar, "Modified harmony search algorithm for combined economic emission dispatch of microgrid incorporating renewable sources," Energy, vol. 159, pp. 496-507, 2018/09/15/ 2018.
• [8] N. Daryani and K. Zare, "Multiobjective power and emission dispatch using modified group search optimization method," Ain Shams Engineering Journal, vol. 9, pp. 319-328, 2018/09/01/ 2018.
• [9] H. Rezaie, M. H. Kazemi-Rahbar, B. Vahidi, and H. Rastegar, "Solution of combined economic and emission dispatch problem using a novel chaotic improved harmony search algorithm," Journal of Computational Design and Engineering, vol. 6, pp. 447-467, 2019/07/01/ 2019.
• [10] R. M. Rizk-Allah, R. A. El-Sehiemy, and G.-G. Wang, "A novel parallel hurricane optimization algorithm for secure emission/economic load dispatch solution," Applied Soft Computing, vol. 63, pp. 206-222, 2018/02/01/ 2018.
• [11] D. C. Secui, "Large-scale multi-area economic/emission dispatch based on a new symbiotic organisms search algorithm," Energy Conversion and Management, vol. 154, pp. 203-223, 2017/12/15/ 2017.
• [12] M. Amiri, S. Khanmohammadi, and M. A. Badamchizadeh, "Floating search space: A new idea for efficient solving the Economic and emission dispatch problem," Energy, vol. 158, pp. 564-579, 2018/09/01/ 2018.
• [13] A. Belmadani, L. Benasla, and M. Rahli, "Harmony Search Algorithm to solve Dynamic Economic Environmental Dispatch (DEED) " Przegląd Elektrotechniczny, vol. 2011, 2011.
• [14] M. H. Sulaiman, Z. Mustaffa, M. M. Saari, H. Daniyal, M. R. Daud, S. Razali, et al., "Barnacles Mating Optimizer: A Bio- Inspired Algorithm for Solving Optimization Problems," in 2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2018, pp. 265-270.
• [15] M. H. Sulaiman, Z. Mustaffa, M. M. Saari, H. Daniyal, I. Musirin, and M. R. Daud, "Barnacles Mating Optimizer: An Evolutionary Algorithm for Solving Optimization," in 2018 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), 2018, pp. 99-104.
• [16] P. Venkatesh, R. Gnanadass, and N. P. Padhy, "Comparison and application of evolutionary programming techniques to combined economic emission dispatch with line flow constraints," IEEE Transactions on Power Systems, vol. 18, pp. 688-697, 2003.
• [17] M. Barazandeh, C. S. Davis, C. J. Neufeld, D. W. Coltman, and A. R. Palmer, "Something Darwin didn’t know about barnacles: spermcast mating in a common stalked species," Proceedings of the Royal Society B: Biological Sciences, vol. 280, pp. 1-5, 2013.
• [18] A. L. Devi and O. V. Krishna, "Combined Economic and Emission Dispatch Using Evolutionary Algorithms-A Case Study " ARPN Journal of Engineering and Applied Sciences vol. 3, pp. 28-35, 2008.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).

Identyfikatory

DOI

10.15199/48.2020.07.26