The week's pick
Reseach Article
Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 178 - Number 49 |
| Year of Publication: 2019 |
| Authors: Priyanka Shankya, Ashalam Parwaz, Vivek Kumar Jain |
10.5120/ijca2019919392
|
Priyanka Shankya, Ashalam Parwaz, Vivek Kumar Jain . Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem. International Journal of Computer Applications. 178, 49 ( Sep 2019), 8-10. DOI=10.5120/ijca2019919392
Abstract
This paper proposes an artificial bee colony (ABC) algorithm for solving optimal reactive power flow problem. The proposed ABC can deal with different objectives of the problem such as minimizing the real power losses, improving the voltage profile, and enhancing the voltage stability and properly handle various constraints for reactive power limits of generators and switchable capacitor banks, bus voltage limits, tap changer limits for transformers, and transmission line limits. The proposed approach has been observed and tested on different IEEE bus test system. The performance of ABC to be better in terms of solution superiority and computational time.
References
- J.A. Momoh, S. X. Guo, E. C. Ogbuobiri, and R. Adapa, “The quadratic interior point method Solving power system optimization problems,”IEEE Trans. Power Systems, vol. 9, pp. 1327-1336, Aug. 1994.
- Z. L. Gaing, “Particle swarm optimization to solving the economic dispatch considering the generator constraints,” IEEE Trans. Power Systems, vol. 18, pp. 1187-1195, Mar. 2003
- K. Y. Lee, Y. M. Park, and J. L. Ortiz, “A united approach to optimal real and reactive power Dispatch,” IEEE Trans. Power Systems, vol. 104, pp. 1147-1153, May 1985.
- J. Liu, Y. Y. Tang, and Y. C. Cao, “An evolutionary autonomous agents approach to image feature extraction,” IEEE Trans. Evolutionary Computation, vol. 1, pp.141-158, Feb. 1997.
- Y. C. Wu, A. S. Debs, and R. E. Marsten, “A direct nonlinear predictor-corrector primal-dual interior point algorithm for optimal power flows,” IEEETrans. Power Systems, vol. 9, pp. 876-883, May1994.
- Abdul Rahman, K.H. and Shahidehpour, S.M. 1993 A fuzzy based optimal reactive power control IEEE Transactions on Power Systems, 8 (1993) 662-670.
- K. Iba, “Reactive power optimization by genetic algorithm”, IEEE Trans. Power Systems, Vol. 9, No. 2, pp. 685-692, May 1994.
- B. Bhattacharyya and S.K. Goswami, “SA based genetic algorithm for reactive power optimization”, The Journal of CPRI, Vol. 3, No. 1, pp. 59-64, Sept. 2006
- Bhagat Singh Prajapati, Laxmi Srivastava, “Multi-Objective Reactive Power Optimization Using Artificial Bee Colony Algorithm”, International Journal of Engineering and Innovative Technology (IJEIT) Volume 2, Issue 1, July 2012.
- Ali Ozturk, Serkan Cobanli, Pakize Erdogmus and salih Tosun (2010) “Reactive power optimization with ABC algorithm” Scientific Research and Essays Vol.5 (19) pp.2852
- A.A. Abou El Ela, M.A. Abido, S.R. Spea , “Differential Evolution algorithm for optimal reactive power dispatch ”, Electric Power Systems Research 81 (2011) 458–464.
- M. Varadarajan, K.S. Swarup, “Network loss minimization with voltage security using differential evolution”, Electric Power Systems Research 78 (2008) 815–823.
- M.A. Abido, J.M. Bakhashwain , “ Optimal VAR dispatch using a multi objective evolutionary algorithm”, Electrical Power Energy Systems 27 (2005) 13–20.
- M.A. Abido, “Optimal power flow using particle swarm optimization”, Electrical Power Energy Systems 24(7) (2002) 563–571.
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