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Methods of Simulated Annealing and Particle Swarm Applied to the Optimization of Reactive Power Flow in Electric Power SystemsPIJARSKI, P. , KACEJKO, P.
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optimization, heuristic algorithms, power systems, reactive power control, compensation
power(12), optimization(7), systems(6), swarm(6), fuzzy(4), control(4)
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About this article
Date of Publication: 2018-11-30
Volume 18, Issue 4, Year 2018, On page(s): 43 - 48
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.04005
Web of Science Accession Number: 000451843400005
SCOPUS ID: 85058812305
Electric power system is characterized by relatively high demand for lagging reactive power. From the economic viewpoint, reactive power sources should be installed close to its demand. Optimal compensation should ensure minimal costs of the reactive power generation and transmission within the considered system. The optimization of activities related to reactive power compensation concerns the location and power of compensation devices. This is to optimize voltage levels and reactive power flows in the system. The article presents methods of simulated annealing and particle swarm applied to solve an optimization task of the reactive power flow. It has been assumed that active power losses in a power system are the objective function.
|References|||||Cited By «-- Click to see who has cited this paper|
| A. Meier, "Electric Power Systems: Conceptual Introduction", pp. 144-228, Wiley-IEEE Press, 2006.
 J. Machowski, J. Bialek, J. Bumby, "Power system dynamics stability and control", pp. 15-122, John Wiley & Sons, 2008.
 L. L. Grigsby, "Power systems", pp. 46-56, CRC Press, 2012.
 J. Zhu, "Optimization of Power System Operation", pp. 1-50, Wiley-IEEE Press, 2015.
 W. Zhang, Y. Liu, "Multi-objective reactive power and voltage control based on fuzzy optimization strategy and fuzzy adaptive particle swarm," International Journal of Electrical Power & Energy Systems, vol. 30, no. 9, pp. 525-532, 2008.
[CrossRef] [Web of Science Times Cited 130] [SCOPUS Times Cited 177]
 C. Wang, G. Yao, X. Wang et al., "Reactive Power Optimization Based on Particle Swarm Optimization Algorithm in 10kV Distribution Network," Advances in Swarm Intelligence, vol. 6728, pp. 157-164, 2011.
[CrossRef] [SCOPUS Times Cited 4]
 A. Q. H. Badar, B. S. Umre,, A. S. Junghare, "Reactive power control using dynamic Particle Swarm Optimization for real power loss minimization," International Journal of Electrical Power & Energy Systems, vol. 41, no. 1, pp. 133-136, 2012.
[CrossRef] [Web of Science Times Cited 83] [SCOPUS Times Cited 96]
 S. Biswas, K. K. Manadal, N. Chakraborty, "Simulated Annealing Based Real Power Loss Minimization Aspect for a Large Power Network," Swarm, Evolutionary, and Memetic Computing, vol. 8297, pp. 345-353, 2013.
[CrossRef] [SCOPUS Times Cited 1]
 M. A. Abido, "Multiobjective Optimal VAR Dispatch Using Strength Pareto Evolutionary Algorithm," 2006 IEEE International Conference on Evolutionary Computation, Vancouver, pp. 16-21, 2006.
[CrossRef] [Web of Science Times Cited 29]
 M. S. Bazaraa, H. D. Sherali, C. M. Shetty, "Nonlinear Programming: Theory and Algorithms", pp. 1-313, Wiley, 2006.
 Z. Michalewicz, D. B. Fogel, "How to Solve It. Modern Heuristics", pp. 145-487, Springer , 2004.
 X.-S. Yang, "Nature-inspired metaheuristic algorithms", pp. 11-108, Luniver Press, 2010.
 P. J. Braspenning, F. Thuijsman, A. J. M. M. Weijters, "Artificial Neural Networks: An Introduction to ANN Theory and Practice", pp.1-100, Springer, 1995.
 W. Pedrycz, "Fuzzy control and fuzzy systems", pp. 1-78, John Wiley & Sons, 1996.
 L. J. Fogel, Owens, A., J., M., J. Walsh, "Artificial Intelligence through Simulated Evolution", pp. 11-66, John Wiley & Sons, 1966.
 S. Kirkpatrick, C. D. Gelatt, M. P. Vecchi, "Optimization by Simulated Annealing," Science, vol. 220, no. 4598, pp. 671-680, 1983.
[CrossRef] [Web of Science Times Cited 23131] [SCOPUS Times Cited 27827]
 H. Bersini, J. Varela, Francisco, "Hints for adaptive problem solving gleaned from immune networks," Parallel Problem Solving from Nature, vol. 496, pp. 343-354, 1990.
[CrossRef] [SCOPUS Times Cited 78]
 R. Eberhart, J. Kennedy, "A new optimizer using particle swarm theory," in MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science, pp. 39-43, IEEE, 1995.
 A. Colorni, M. Dorigo, V. Maniezzo, "Distributed Optimization by Ant Colonies," Appeared in Procedings of ECAL91, pp. 134-142, 1991.
 F. Glover, "Tabu SearchPart I," ORSA Journal on Computing, vol.1, no. 3, pp. 190-206, 1989.
 D. T. Pham, A. Ghanbarzadeh, E. Koc et al., "The Bees Algorithm A Novel Tool for Complex Optimisation," Intelligent Production Machines and Systems, pp. 454-459, 2006,
[CrossRef] [SCOPUS Times Cited 711]
 X.-S. Yang, S. Deb, "Cuckoo Search via Lévy flights," 2009 World Congress on Nature & Biologically Inspired Computing, pp. 210-214, 2009.
[CrossRef] [Web of Science Times Cited 2909] [SCOPUS Times Cited 4081]
 J. E. Freund, B. M. Perles, "Modern Elementary Statistics", pp. 43-93, Pearson, 2006.
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