Abstract
This study presents a new approach based on a hybrid algorithm consisting of particle swarm optimization (PSO) and pattern search (PS) techniques for solving the economic load dispatch problem. The objective is to minimize the nonlinear function, which is the total fuel cost of thermal generating units, subject to the usual constraints. The proposed method hybrid PSO–PS algorithm has been examined and tested for standard 15 thermal units system. The hybrid PSO–PS method is demonstrated and compared with conventional method and the intelligence heuristic algorithm. From simulation results, it has been found that hybrid PSO–PS algorithm method is highly competitive for its better general convergence performance.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Alberto P, Nogueira F, Rocha H, Vicente LN (2004) Pattern search methods for user-provided points: application to molecular geometry problems. SIAM J Optim 14:1216–1236
Al-Othman AK, Ahmed NA, AlSharidah ME, AlMekhaizim HA (2013) A hybrid real coded genetic algorithm–pattern search approach for selective harmonic elimination of PWM AC/AC voltage controller. Electr Power Energy Syst 44:123–133
Alsumait JS, Sykulski JK (2009) Solving economic dispatch problem using hybrid GA–PS–SQP method. EUROCON ‘09. IEEE, May, 2009, p 333–338
Alsumait JS, Sykulski JK, Al-Othman AK (2007) Application of pattern search method to power system economic load dispatch. In: Third IASTED Asian conference power and energy systems, Phuket, Thailand, 2007, p 90–95
Alsumait JS, Sykulski JK, Al-Othman AK (2010) Ahybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems. Science Direct, Applied Energy 87:1773–1781
Araújo TF, Uturbey W (2013) Performance assessment of PSO, DE and hybrid PSO–DE algorithms when applied to the dispatch of generation and demand. Electr Power Energy Syst 47:205–217
Gao H, Xu W (2011) Particle swarm algorithm with hybrid mutation strategy. Appl Soft Comput 11(8):5129–5142
Haibing G, Chi Z, Liang G (2005) Particle swarm optimization based algorithm for economic load dispatch load dispatch. International symposium on intelligence computation and applications (ISICA 2005), Wuhan, China, 2006, 4–6, p 594–599
Hooke R, Jeeves TA (1961) Direct search solution of numerical and statistical problems. J Assoc Comput Mach 8:212–229
Jia DL, Zheng GX, Qu BY, Khan MK (2011) A hybrid particle swarm optimization algorithm for high-dimensional problems. Comput Ind Eng 61(4):1117–1122
Lee KY, El-Sharkawi MA (2002) Tutorial on modern heuristic optimization techniques with applications to power systems. IEEE Power Engineering Society, IEEE Catalog Number 02TP160, Piscataway, NJ, 2002
Lewis RM, Torczon V, Trosset MW (2000) Direct search methods: then and now. J Comput Appl Math 124:191–207
Lim SY, Montakhad M, Nouri H (2009) Economic dispatch of power system using particle swarm optimization with constriction factor. Int J Innova Energy Syst Power 4:29–34
Nickabadi A, Ebadzadeh MM, Safabakhsh R (2011) A novel particle swarm optimization algorithm with adaptive inertia weight. Appl Soft Comput 11:3658–3670
Nur Gabere M (2007) Simulated annealing driven pattern search algorithms for global optimization. Master Thesis, University of the Witwatersrand, Johannesburg, August 16, 2007
Ongsakul W, Tantimaporn T (2006) Optimal powers flow by improved evolutionary programming. Electr Power Comput Syst 34:79–95
Pothiya S, Ngamroo I, Kongprawechnon W (2008) Application of multiple tabu search algorithm to solve dynamic economic dispatch considering generator constraints. Energy Convers Manag 49:506–516
Stevenson WD (1982) Elements of power system analysis. McGraw Hill International editions, New York
Thenmozhi N, Mary D (2004) Economic emission load dispatch using hybrid genetic algorithm. Chiang Mai, Thailand, pp 476–479
Thitithamrongchai C, Eua-arporn B (2007) Self-adaptive differential evolution based optimal power flow for units with non-smooth fuel cost functions. J Electr Syst 3–2:88–99
Victoire TAA, Jeyakumar AE (2004) Hybrid PSO–SQP for economic dispatch with valve-point effect. Electr Power Syst Res 71:51–59
Wang SK, Chiou JP, Liu CW (2007) Non-smooth/non-convex economic dispatch by a novel hybrid differential evolution algorithm. IET Gener Transm Dis 1:793–803
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Labbi, Y., Attous, D.B. A hybrid particle swarm optimization and pattern search method to solve the economic load dispatch problem. Int J Syst Assur Eng Manag 5, 435–443 (2014). https://doi.org/10.1007/s13198-013-0186-1
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13198-013-0186-1