An Efficient Approach for Voltage Stability Improvement Based on Artificial Bee Colony Algorithm

Abstract:

Voltage stability assessment plays an important role in planning and operation of secured power system economically. In this paper an effective algorithm based on Artificial Bee Colony approach is developed to solve reactive power control problem for the improvement of voltage in all load buses. This algorithm employs optimal settings of control variables to achieve best solution for the objective functions. The proposed formulation is examined in standard IEEE 30 bus test system with the objective function of real power loss minimization as well as minimization of voltage stability index for the improvement of voltage stability. The test results are compared with the existing approach explained in the literature. From the test results it is absorbed that the voltage stability is improved satisfactorily.

• Periodical: Advanced Materials Research (Volumes 984-985)
• Pages: 990-995
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.984-985.990
• Online since: July 2014
• Authors: D. Godwin Immanuel*, G.Selva Kumar, C. Christober Asir Rajan
• Keywords: Artificial Bee Colony, Volt Ampere Reactive, Voltage Stability Index

References

[1] Kessel P, Glavitsch H. Estimating the voltage stability of power systems. IEEE Trans Power System 1986; 1: 346-354.

DOI: 10.1109/tpwrd.1986.4308013

[2] Van Cutsem T. A method to compute reactive power margins with respect to voltage collapse. IEEE Trans Power System 1991; 6: 145-156.

DOI: 10.1109/59.131057

[3] Grudinin N. Reactive power optimization using successive quadratic programming method. IEEE Trans Power System 1998; 13: 1219-1225.

DOI: 10.1109/59.736232

[4] Lai LL, Ma J T. Application of evolutionary programming to reactive power planning-comparison with non-linear programming approach. IEEE Trans Power System 1997; 12: 198-206.

DOI: 10.1109/59.574940

[5] Su C. T and Lin C. T, Fuzzy based voltage/reactive power scheduling for voltage security improvement and loss reduction, IEEE Transaction on power delivery, April 2001, vol. 16, No. 2, pp.319-323.

DOI: 10.1109/61.915501

[6] A.A. Salam, A.M. Khafagha, An artificial neural network application to alleviate voltage instability problem. Large Engineering Systems conference on Power Engineering, pp.133-141, June (2002).

DOI: 10.1109/lescpe.2002.1020679

[7] D. Godwin Immanuel, Dr. C. Christober Asir Rajan, An Genetic Algorithm Approach for Reactive Power Control Problem, IEEE International Conference on Circuit, Power and Computing Technologies, Noorul Islam Centre for Higher Education, Thuckalay, March 2013, Page No. 74-78.

DOI: 10.1109/iccpct.2013.6528940

[8] Altaf Q.H. Badar , B.S. Umre, Reactive power control using dynamic Particle Swarm Optimization for real power loss minimization, Electrical Power and Energy Systems, April2012, vol. 41, pp.133-136.

DOI: 10.1016/j.ijepes.2012.03.030

[9] Chaohua Dai, Weirong Chen, Seeker optimization algorithm for optimal reactive power dispatch. IEEE Trans Power System vol. 24, pp.1218-1230, Aug (2009).

DOI: 10.1109/tpwrs.2009.2021226

[10] D. Godwin Immanuel, Dr. G. Selva Kumar, Dr. C. Christober Asir Rajan, Differential Evolution Algorithm Based Optimal Reactive Power Control for Voltage StabilityImprovement, Applied Mechanics and Materials, Volumes. 448-453 , October 2013, Page No. 2357-2362.

DOI: 10.4028/www.scientific.net/amm.448-453.2357

[11] Dervis Karaboga and Bahriye Basturk, Artificial Bee Colony (ABC) OptimizationAlgorithm forSolving Constrained Optimization Problems, LNAI 4529, Springer-Verlag Berlin Heidelberg 2007, p.789–798.

DOI: 10.1007/978-3-540-72950-1_77

[12] Luong Le Dinh, Dieu Vo Ngoc, 2 and Pandian Vasant3 Artificial Bee Colony Algorithm for Solving OptimalPower Flow Problem, The ScientificWorld Journal, Volume 2013, pp.1-9.

DOI: 10.1155/2013/159040

[13] Alsac O, Scott B, Optimal load flow with steady state security, IEEE Transaction on pwer Apparatus system 1974, pp.187-202.