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The Optimal Power Flow Calculation of Power System Based on the Annealing Algorithm

Abstract PP. 797-802
DOI: 10.4236/epe.2013.54B153    4,953 Downloads   5,974 Views   Citations
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ABSTRACT

The result of OPF whose task is to compute the voltage and angle of each node in power system is the basic of stability calculation and failure analysis in power system. For this goal, the idea of simulated annealing method is introduced, mixed with the greedy randomized algorithm (GRASP), and then the hybrid SA algorithm is obtained. The algorithm is applied to the multi-objective optimal power flow calculation of power system, and the effectiveness of the algorithm given in this paper is verified by analysis of examples.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

X. Yu, "The Optimal Power Flow Calculation of Power System Based on the Annealing Algorithm," Energy and Power Engineering, Vol. 5 No. 4B, 2013, pp. 797-802. doi: 10.4236/epe.2013.54B153.

References

[1] W. D. Rosehart, C. A. Caniares and V. H. Quintana, “Multi-objective Optimal Power Flow to Evaluate Voltage Sedcurity Costs in Power Networls,” IEEE Transactions on Power Systems, Vol. 18, No. 2, 2003, pp. 578-587. doi:10.1109/TPWRS.2003.810895
[2] J. A. Momoh, M. E. EI-Hawary and R. Adapa, “Nonlinear and Quadratic Programming Approaches, Part I,” A Review of Selected Optimal Power Flow Literature to 2003, Vol. 14, No. 1, 2005, pp. 96-104.
[3] A. G. Bakirtzis, et al., “Optimal Power Flow by Enhanced Genetic Algorithm,” IEEE Transactions on Power Systems, 2008, Vol. 17, No. 2, pp. 229-236. doi:10.1109/TPWRS.2002.1007886
[4] X. Zhang, R. W. Dunn and F. Li, “Stability Constrained Optimal Power Flow for the Balancing Market Using Genetic A lgorithms,” Proceedings of IEEE PES General Meeting, Toronto(Canada):2003.

  
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