تعداد نشریات | 29 |

تعداد شمارهها | 630 |

تعداد مقالات | 6,368 |

تعداد مشاهده مقاله | 9,731,385 |

تعداد دریافت فایل اصل مقاله | 6,362,828 |

## Woodpecker Mating Algorithm for Optimal Economic Load Dispatch in a Power System with Conventional Generators | ||

International Journal of Industrial Electronics Control and Optimization | ||

مقاله 7، دوره 4، شماره 2، تیر 2021، صفحه 221-234 اصل مقاله (1.11 M)
| ||

نوع مقاله: Research Articles | ||

شناسه دیجیتال (DOI): 10.22111/ieco.2020.35116.1296 | ||

نویسندگان | ||

Morteza Karimzadeh Parizi^{*} ^{1}؛ Farshid Keynia^{2}؛ Amid Khatibi Bardsiri^{1}
| ||

^{1}Department of Computer Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran | ||

^{2}Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran | ||

چکیده | ||

The Economic Dispatch (ED) is one of the most important optimization problems in power systems the ultimate goal of the ED is to minimize the cost of operations in a power generation. In this paper, the Woodpecker Mating Algorithm (WMA) is used to solve the ED problem considering the nonlinear properties of generators such as valve point effects (VPE), prohibited operating zones (POZ), ramp rate limits, multiple fuel options, and transmission loss. The WMA algorithm is a novel metaheuristic algorithm inspired by the mating behavior of woodpeckers and sound intensity (a physical quantity). The WMA is implemented on six test systems of different operational dimensions and characteristics to show its capacity for solving the ED problem. The results are compared with the latest and most efficient methods introduced in the literature. Proving the efficiency of the WMA to solve the ED problem, simulation results are promising and offer the optimal fuel cost of production. | ||

کلیدواژهها | ||

Woodpecker Mating Algorithm؛ Economic Dispatch؛ Valve Point Effects؛ Nonlinear Optimization | ||

مراجع | ||

[1] D. Singh and J. Dhillon, "Ameliorated grey wolf optimization for economic load dispatch problem," Energy, vol. 169, pp. 398-419, 2019. [2] X. He, Y. Rao, and J. Huang, "A novel algorithm for economic load dispatch of power systems," Neurocomputing, vol. 171, pp. 1454-1461, 2016. [3] V. K. Kamboj, S. Bath, and J. Dhillon, "Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer," Neural Computing and Applications, vol. 27, pp. 1301-1316, 2016. [4] J. X. V. Neto, G. Reynoso-Meza, T. H. Ruppel, V. C. Mariani, and L. dos Santos Coelho, "Solving non-smooth economic dispatch by a new combination of continuous GRASP algorithm and differential evolution," International Journal of Electrical Power & Energy Systems, vol. 84, pp. 13-24, 2017. [5] M. Pradhan, P. K. Roy, and T. Pal, "Grey wolf optimization applied to economic load dispatch problems," International Journal of Electrical Power & Energy Systems, vol. 83, pp. 325-334, 2016. [6] Q. Zhang, D. Zou, N. Duan, and X. Shen, "An adaptive differential evolutionary algorithm incorporating multiple mutation strategies for the economic load dispatch problem," Applied Soft Computing, vol. 78, pp. 641-669, 2019. [7] S. Pan, J. Jian, H. Chen, and L. Yang, "A full mixed-integer linear programming formulation for economic dispatch with valve-point effects, transmission loss and prohibited operating zones," Electric Power Systems Research, vol. 180, p. 106061, 2020. [8] H. Sharifzadeh, "Solving economic load dispatch by a new hybrid optimization method," International Journal of Industrial Electronics, Control and Optimization, 2020. [9] M. Gholamghasemi, E. Akbari, M. B. Asadpoor, and M. Ghasemi, "A new solution to the non-convex economic load dispatch problems using phasor particle swarm optimization," Applied Soft Computing, vol. 79, pp. 111-124, 2019. [10] M. A. Al-Betar, M. A. Awadallah, A. T. Khader, A. L. a. Bolaji, and A. Almomani, "Economic load dispatch problems with valve-point loading using natural updated harmony search," Neural Computing and Applications, vol. 29, pp. 767-781, 2018. [11] N. Ghorbani and E. Babaei, "Exchange market algorithm for economic load dispatch," International Journal of Electrical Power & Energy Systems, vol. 75, pp. 19-27, 2016. [12] W. T. Elsayed, Y. G. Hegazy, M. S. El-bages, and F. M. Bendary, "Improved random drift particle swarm optimization with self-adaptive mechanism for solving the power economic dispatch problem," IEEE Transactions on Industrial Informatics, vol. 13, pp. 1017-1026, 2017. [13] B. Taheri, G. Aghajani, and M. Sedaghat, "Economic dispatch in a power system considering environmental pollution using a multi-objective particle swarm optimization algorithm based on the Pareto criterion and fuzzy logic," International Journal of Energy and Environmental Engineering, vol. 8, pp. 99-107, 2017. [14] M. Pradhan, P. K. Roy, and T. Pal, "Oppositional based grey wolf optimization algorithm for economic dispatch problem of power system," Ain Shams Engineering Journal, vol. 9, pp. 2015-2025, 2018. [15] F. Mohammadi and H. Abdi, "A modified crow search algorithm (MCSA) for solving economic load dispatch problem," Applied Soft Computing, vol. 71, pp. 51-65, 2018. [16] P. Zakian and A. Kaveh, "Economic dispatch of power systems using an adaptive charged system search algorithm," Applied Soft Computing, vol. 73, pp. 607-622, 2018. [17] C. Fu, S. Zhang, and K.-H. Chao, "Energy Management of a Power System for Economic Load Dispatch Using the Artificial Intelligent Algorithm," Electronics, vol. 9, p. 108, 2020. [18] X. Chen, "Novel dual-population adaptive differential evolution algorithm for large-scale multi-fuel economic dispatch with valve-point effects," Energy, p. 117874, 2020. [19] X.-l. Chen, P.-h. Wang, Q. Wang, and Y.-h. Dong, "A Two-Stage strategy to handle equality constraints in ABC-based power economic dispatch problems," Soft Computing, vol. 23, pp. 6679-6696, 2019. [20] H. Rezaie, M. 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. [21] G. Chen and X. Ding, "Optimal economic dispatch with valve loading effect using self-adaptive firefly algorithm," Applied Intelligence, vol. 42, pp. 276-288, 2015. [22] M. A. Al-Betar and M. A. Awadallah, "Island bat algorithm for optimization," Expert Systems with Applications, vol. 107, pp. 126-145, 2018. [23] B. Adarsh, T. Raghunathan, T. Jayabarathi, and X.-S. Yang, "Economic dispatch using chaotic bat algorithm," Energy, vol. 96, pp. 666-675, 2016. [24] M. Modiri-Delshad, S. H. A. Kaboli, E. Taslimi-Renani, and N. Abd Rahim, "Backtracking search algorithm for solving economic dispatch problems with valve-point effects and multiple fuel options," Energy, vol. 116, pp. 637-649, 2016. [25] A. Bhadoria, V. K. Kamboj, M. Sharma, and S. Bath, "A solution to non-convex/convex and dynamic economic load dispatch problem using moth flame optimizer," INAE Letters, vol. 3, pp. 65-86, 2018. [26] M. Elhameed and A. A. El-Fergany, "Water cycle algorithm-based economic dispatcher for sequential and simultaneous objectives including practical constraints," Applied Soft Computing, vol. 58, pp. 145-154, 2017. [27] G. Xiong and D. Shi, "Orthogonal learning competitive swarm optimizer for economic dispatch problems," Applied Soft Computing, vol. 66, pp. 134-148, 2018. [28] V. C. Pandey, V. K. Jadoun, N. Gupta, K. Niazi, and A. Swarnkar, "Improved fireworks algorithm with chaotic sequence operator for large-scale non-convex economic load dispatch problem," Arabian Journal for Science and Engineering, vol. 43, pp. 2919-2929, 2018. [29] S. M. A. Bulbul, M. Pradhan, P. K. Roy, and T. Pal, "Opposition-based krill herd algorithm applied to economic load dispatch problem," Ain Shams Engineering Journal, vol. 9, pp. 423-440, 2018. [30] D. Zou, S. Li, G.-G. Wang, Z. Li, and H. Ouyang, "An improved differential evolution algorithm for the economic load dispatch problems with or without valve-point effects," Applied Energy, vol. 181, pp. 375-390, 2016. [31] C.-L. Chiang, "Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels," IEEE transactions on power systems, vol. 20, pp. 1690-1699, 2005. [32] V. K. Kamboj, A. Bhadoria, and S. Bath, "Solution of non-convex economic load dispatch problem for small-scale power systems using ant lion optimizer," Neural Computing and Applications, vol. 28, pp. 2181-2192, 2017. [33] Y. Labbi, D. B. Attous, H. A. Gabbar, B. Mahdad, and A. Zidan, "A new rooted tree optimization algorithm for economic dispatch with valve-point effect," International Journal of Electrical Power & Energy Systems, vol. 79, pp. 298-311, 2016. [34] S. H. A. Kaboli and A. K. Alqallaf, "Solving non-convex economic load dispatch problem via artificial cooperative search algorithm," Expert Systems with Applications, vol. 128, pp. 14-27, 2019. [35] M. Ghasemi, I. F. Davoudkhani, E. Akbari, A. Rahimnejad, S. Ghavidel, and L. Li, "A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO)," Engineering Applications of Artificial Intelligence, vol. 92, p. 103666, 2020. [36] T. Niknam, H. D. Mojarrad, and H. Z. Meymand, "Non-smooth economic dispatch computation by fuzzy and self adaptive particle swarm optimization," Applied Soft Computing, vol. 11, pp. 2805-2817, 2011. [37] J.-B. Park, Y.-W. Jeong, J.-R. Shin, and K. Y. Lee, "An improved particle swarm optimization for nonconvex economic dispatch problems," IEEE Transactions on power systems, vol. 25, pp. 156-166, 2009. [38] M. Ghasemi, E. Akbari, A. Rahimnejad, S. E. Razavi, S. Ghavidel, and L. Li, "Phasor particle swarm optimization: a simple and efficient variant of PSO," Soft Computing, vol. 23, pp. 9701-9718, 2019. [39] Z. Xin-gang, L. Ji, M. Jin, and Z. Ying, "An improved quantum particle swarm optimization algorithm for environmental economic dispatch," Expert Systems with Applications, p. 113370, 2020. [40] P. Jangir, S. A. Parmar, I. N. Trivedi, and R. Bhesdadiya, "A novel hybrid particle swarm optimizer with multi verse optimizer for global numerical optimization and optimal reactive power dispatch problem," Engineering Science and Technology, an International Journal, vol. 20, pp. 570-586, 2017. [41] H. Barati and M. Sadeghi, "An efficient hybrid MPSO-GA algorithm for solving non-smooth/non-convex economic dispatch problem with practical constraints," Ain Shams Engineering Journal, vol. 9, pp. 1279-1287, 2018. [42] M. Kumar and J. Dhillon, "Hybrid artificial algae algorithm for economic load dispatch," Applied Soft Computing, vol. 71, pp. 89-109, 2018. [43] M. Karimzadeh Parizi, F. Keynia, and A. Khatibi Bardsiri, "Woodpecker Mating Algorithm (WMA): a nature-inspired algorithm for solving optimization problems," International Journal of Nonlinear Analysis and Applications, vol. 11, pp. 137-157, 2020. [44] M. Karimzadeh Parizi and F. Keynia, "OWMA: An improved self-regulatory woodpecker mating algorithm using opposition-based learning and allocation of local memory for solving optimization problems," Journal of Intelligent & Fuzzy Systems, pp. 1-28. [45] Z.-L. Gaing, "Particle swarm optimization to solving the economic dispatch considering the generator constraints," IEEE transactions on power systems, vol. 18, pp. 1187-1195, 2003. [46] Y. Labbi and D. B. Attous, "A Hybrid Big Bang–Big Crunch optimization algorithm for solving the different economic load dispatch problems," International Journal of System Assurance Engineering and Management, vol. 8, pp. 275-286, 2017. [47] G. Dhiman, "MOSHEPO: a hybrid multi-objective approach to solve economic load dispatch and micro grid problems," Applied Intelligence, vol. 50, pp. 119-137, 2020. [48] B. Sharma, R. Prakash, S. Tiwari, and K. Mishra, "A variant of environmental adaptation method with real parameter encoding and its application in economic load dispatch problem," Applied Intelligence, vol. 47, pp. 409-429, 2017. [49] V. S. Aragón, S. C. Esquivel, and C. C. Coello, "An immune algorithm with power redistribution for solving economic dispatch problems," Information Sciences, vol. 295, pp. 609-632, 2015. [50] Z. Huang, J. Zhao, L. Qi, Z. Gao, and H. Duan, "Comprehensive learning cuckoo search with chaos-lambda method for solving economic dispatch problems," Applied Intelligence, pp. 1-21, 2020. [51] M. Kumar and J. Dhillon, "A conglomerated ion-motion and crisscross search optimizer for electric power load dispatch," Applied Soft Computing, vol. 83, p. 105641, 2019. [52] Q. Qin, S. Cheng, X. Chu, X. Lei, and Y. Shi, "Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization," Applied Soft Computing, vol. 59, pp. 229-242, 2017. [53] E. Bijami, M. Jadidoleslam, A. Ebrahimi, J. Askari, and M. M. Farsangi, "Implementation of imperialist competitive algorithm to solve non-convex economic dispatch problem," Journal of the Chinese Institute of Engineers, vol. 37, pp. 232-242, 2014. [54] D. C. SECUI, G. Bendea, and H. Cristina, "A modified harmony search algorithm for the economic dispatch problem," Studies in Informatics and Control, vol. 23, p. 144, 2014. [55] W. T. El-Sayed, E. F. El-Saadany, H. H. Zeineldin, and A. S. Al-Sumaiti, "Fast initialization methods for the nonconvex economic dispatch problem," Energy, p. 117635, 2020. [56] K. Alawode, A. Jubril, L. Kehinde, and P. O. Ogunbona, "Semidefinite programming solution of economic dispatch problem with non-smooth, non-convex cost functions," Electric Power Systems Research, vol. 164, pp. 178-187, 2018. | ||

آمار تعداد مشاهده مقاله: 454 تعداد دریافت فایل اصل مقاله: 324 |