New optimization algorithm inspired by fluid mechanics for combined economic and emission dispatch problem

New optimization algorithm inspired by fluid mechanics for combined economic and emission dispatch problem

With the increasing concern over environmental protection, the combined economic emission dispatch (CEED)problem has received much attention. It needs to minimize both fuel cost and emission pollution. This study aims topropose a new metaheuristic algorithm inspired by fluid mechanics to solve the CEED problem with the weighted summethod. The new algorithm simulates the inverse process of fluid flowing spontaneously from high pressure to lowpressure, similar to the optimization process of the CEED problem. When applied in two real-world cases, the newalgorithm achieves better performance compared with other algorithms in the literature

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  • Zhang Y, Gong DW, Ding Z. A bare-bones multi-objective particle swarm optimization algorithm for environmental/economic dispatch. Inform Sci 2012; 192: 213-227.
  • Farag A, Al-Baiyat S, Cheng TC. Economic load dispatch multiobjective optimization procedures using linear programming techniques. IEEE T Power Syst 1995; 10: 731-738.
  • Fan JY, Zhang L. Real-time economic dispatch with line flow and emission constraints using quadratic programming. IEEE T Power Syst 1998; 13: 320-325.
  • Zhan JP, Wu QH, Guo CX, Zhou XX. Fast lambda-iteration method for economic dispatch with prohibited operating zones. IEEE T Power Syst 2014; 29: 990-991.
  • Gjorgiev B, Epin M. A multi-objective optimization based solution for the combined economic-environmental power dispatch problem. Eng Appl Artif Intel 2013; 26: 417-429.
  • Jadoun VK, Gupta N, Niazi KR, Swarnkar A. Modulated particle swarm optimization for economic emission dispatch. Int J Elec Power 2015; 73: 80-88.
  • Ela AAAE, Abido MA, Spea SR. Differential evolution algorithm for emission constrained economic power dispatch problem. Electr Pow Syst Res 2010; 80: 1286-1292.
  • Özyön S, Yaşar C, Durmuş B, Temurtaş H. Opposition-based gravitational search algorithm applied to economic power dispatch problems consisting of thermal units with emission constraints. Turk J Elec Eng & Comp Sci 2015; 23: 2278-2288.
  • Chatterjee A, Ghoshal SP, Mukherjee V. Solution of combined economic and emission dispatch problems of power systems by an opposition-based harmony search algorithm. Int J Elec Power 2012; 39: 9-20.
  • Benasla L, Belmadani A, Rahli M. Spiral optimization algorithm for solving combined economic and emission dispatch. Int J Elec Power 2014; 62: 163-174.
  • Liang YC, Juarez JRC. A normalization method for solving the combined economic and emission dispatch problem with meta-heuristic algorithms. Int J Elec Power 2014; 54: 163-186.
  • Jevtic M, Jovanovic N, Radosavljevic J, Klimenta D. Moth swarm algorithm for solving combined economic and emission dispatch problem. Elektron Elektrotech 2017; 23: 21-28.
  • Abdelaziz AY, Ali ES, Elazim SMA. Combined economic and emission dispatch solution using flower pollination algorithm. Int J Elec Power 2016; 80: 264-274.
  • Hota PK, Barisal AK, Chakrabarti R. Economic emission load dispatch through fuzzy based bacterial foraging algorithm. Int J Elec Power 2010; 32: 794-803.
  • Özyön S, Temurtaş H, Durmuş B, Kuvat G. Charged system search algorithm for emission constrained economic power dispatch problem. Energy 2012; 46: 420-430.
  • Horn J, Nafpliotis N, Goldberg DE. A niched Pareto genetic algorithm for multiobjective optimization. In: IEEE Conference on Evolutionary Computation; 27–29 June 1994; Orlando, FL, USA. New York, NY, USA: IEEE. pp. 82-87.
  • Abido MA. Multiobjective evolutionary algorithms for electric power dispatch problem. IEEE T Evolut Comput 2006; 10: 315-329.
  • Hazra J, Sinha AK. A multi-objective optimal power flow using particle swarm optimization. Eur T Electr Power 2011; 21: 1028-1045.
  • Silva MDACE, Klein CE, Mariani VC, Coelho LDS. Multiobjective scatter search approach with new combination scheme applied to solve environmental/economic dispatch problem. Energy 2013; 53: 14-21.
  • Roy PK, Bhui S. Multi-objective quasi-oppositional teaching learning based optimization for economic emission load dispatch problem. Int J Elec Power 2013; 53: 937-948.
  • Qu BY, Liang JJ, Zhu YS, Wang ZY, Suganthan PN. Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm. Inform Sci 2016; 351: 48-66.
  • Wollenberg AJ, Bruce F. Power generation, operation, and control. Fuel and Energy Abstracts 1996; 37: 90-93.
  • Basu M. Economic environmental dispatch using multi-objective differential evolution. Appl Soft Comput 2011; 11: 2845-2853.
  • Yaşar C, Özyön S. Solution to scalarized environmental economic power dispatch problem by using genetic algorithm. Int J Elec Power 2012; 38: 54-62.
  • Nabil E. A modified flower pollination algorithm for global optimization. Expert Syst Appl 2016; 57: 192-203.
  • Haupt RL, Haupt SE. Practical Genetic Algorithms. 2nd ed. New York, NY, USA: Wiley, 2004.
  • Zou D, Li S, Li Z, Kong X. A new global particle swarm optimization for the economic emission dispatch with or without transmission losses. Energ Convers Manage 2017; 139: 45-70.
  • Panigrahi BK, Pandi VR, Das S, Das S. Multiobjective fuzzy dominance based bacterial foraging algorithm to solve economic emission dispatch problem. Energy 2010; 35: 4761-4770.
  • Afzalan E, Joorabian M. Emission, reserve and economic load dispatch problem with non-smooth and non-convex cost functions using epsilon-multiobjective genetic algorithm variable. Int J Electr Power Energy Syst 2013; 52: 55-67.
  • Modiri-Delshad M, Rahim NA. Multi-objective backtracking search algorithm for economic emission dispatch problem. Appl Soft Comput 2016; 40: 479-494.
  • Singh M, Dhillon JS. Multiobjective thermal power dispatch using opposition based greedy heuristic search. Int J Electr Power Energy Syst 2016; 82: 339-353.
Turkish Journal of Electrical Engineering and Computer Sciences-Cover
  • ISSN: 1300-0632
  • Yayın Aralığı: 6
  • Yayıncı: TÜBİTAK
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