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A Multi-Objective Fuzzy-Based Procedure for Reactive Power-Based Preventive Emergency Strategy

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Abstract:

This paper proposes a multi-objective fuzzy linear programming (MFLP) procedure for maximizing the effects of preventive reactive power control actions to overcome any emergency condition when they occurred. The proposed procedure is very significant and seeks to eliminate violation constraints and give an optimal reactive power reserve for multi-operating conditions. The proposed multi-objective functions are: minimizing the real transmission losses, maximizing the reactive power reserve at certain generator and maximizing the reactive power reserve at all generation systems and/or switchable devices. The proposed MFLP is applied to 5-bus test system and the West Delta region system as a part of the Egyptian Unified network. The numerical results show that the proposed MFLP technique achieves a minimum real power loss with maximal reactive reserve for power systems for different operating conditions.

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International Journal of Engineering Research in Africa Vol. 13

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Periodical:

International Journal of Engineering Research in Africa (Volume 13)

Pages:

91-102

DOI:

https://doi.org/10.4028/www.scientific.net/JERA.13.91

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Online since:

December 2014

Authors:

Ragab Abdelaziz El-Sehiemy*, Adel A. Abou El Ela, Abdelallah Shaheen

Keywords:

Emergency, Fuzzy Linear Programming, Preventive Control Actions, Reactive Power Reserve

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] K.R.C. Mamundur, R.D. Chenoweth, Optimal control of reactive power flow for improvements in voltage profiles and for real power loss minimization, IEEE Trans. Power Appar. Systems. 100 (1981), p.3185–3194.

DOI: 10.1109/tpas.1981.316646

[2] O. Gavasheli and L. A. Tuan, Optimal Placement of Reactive Power Supports for Transmission Loss Minimization: The Case of Georgian Regional Power Grid, Large Engineering Systems Conference on Power Engineering Montreal, Quebec, Canada, October 10 to 12, (2007).

DOI: 10.1109/lescpe.2007.4437365

[3] A.J. Conejo, F.D., Galiana and I. Kockar,: Z-bus loss allocation, IEEE Transactions on Power Systems, Vol. 16, No. 1 (2001).

DOI: 10.1109/59.910787

[4] D.I. Sun, B. Ashley, B. Brewar, A. Hughes, W.F. Tinny, Optimal power flow by Newton approach, IEEE Trans. Power Appar. systems. 103 (1984), p.2864–2880.

DOI: 10.1109/tpas.1984.318284

[5] E. Lobato, L. Rouco, M. I. Navarrete, R. Casanova and G. Lopez, An LP-based optimal power flow for transmission losses and generator reactive margins minimization, in Proc. of IEEE porto power tech conference, Portugal, Sept. (2001).

DOI: 10.1109/ptc.2001.964894

[6] F.C. Lu, Y.Y. Hsu, Reactive power/voltage control in a distribution substation using dynamic programming, IEE Proc. Generation Transmission Distribution 142 (1995), p.639–645.

DOI: 10.1049/ip-gtd:19952210

[7] D. Pudjianto, S. Ahmed and G. Strbac, Allocation of VAR support using LP and NLP based optimal power flows, IEE Proc. Generation Transmission Distribution Vol. 149, No. 4, July (2002) pp.377-383.

DOI: 10.1049/ip-gtd:20020200

[8] N. Grudinin, Reactive power optimization using successive quadratic programming method, IEEE Trans. Power Systems., Vol. 13, No. 4, November. (1998), pp.1219-1225.

DOI: 10.1109/59.736232

[9] X. Lin, A. K. David and C. W. Yu, Reactive power optimization with voltage stability consideration in power market systems, IEE Proc. Generation Transmission Distribution., Vol. 150, No. 3, May (2003), pp.305-310.

DOI: 10.1049/ip-gtd:20030198

[10] S. Granville, Optimal reactive power dispatch through interior point methods, IEEE Trans. Power Systems. 9 (1994) p.136–146.

DOI: 10.1109/59.317548

[11] G. A. Bakare, G. K. Venayagamoorthy, and U. O. Aliyu, Reactive power and voltage control of the Nigerian grid system using microgenetic algorithm, in Proc. IEEE Power Eng. Soc. General Meeting, San Francisco, CA, vol. 2, (2005), p.1916–(1922).

DOI: 10.1109/pes.2005.1489424

[12] H. Yoshida et al., A particle swarm optimization for reactive power and voltage control considering voltage security assessment, IEEE Trans. Power Systems., Vol. 15, No. 4, November. 2001, p.1232–1239.

DOI: 10.1109/59.898095

[13] G. Cai, Z. Ren, and T. Yu, Optimal reactive power dispatch based on modified particle swarm optimization considering voltage stability, in Proc. IEEE Power Eng. Soc. General Meeting, (2007), p.1–5.

DOI: 10.1109/pes.2007.386101

[14] M. Varadarajan and K. S. Swarup, Network loss minimization with voltage security using differential evolution, Electeric Power System Research., Vol. 78, (2008), p.815–823.

DOI: 10.1016/j.epsr.2007.06.005

[15] M. Varadarajan and K. S. Swarup, Differential evolutionary algorithm for optimal reactive power dispatch, International Journal of Electrical Power & Energy Systems., Vol 30, October (2008), p.435–441.

DOI: 10.1016/j.ijepes.2008.03.003

[16] US-Canada Power System Outage Task Force, Final Report on the August 14, 2003 Blackout in the United States and Canada: Causes and Recommendations, Issued April (2004).

[17] H. Wu, C.W. Yu, N. Xu, X. J. Lin, An OPF based approach for assessing the minimal reactive power support for generators in deregulated power systems, International Journal of Electrical Power & Energy Systems 30(1), (2008), p.23–30.

DOI: 10.1016/j.ijepes.2007.06.002

[18] R. He, G. A. Taylor, Y. H. Song Multi-objective optimal reactive power flow including voltage security and demand profile classification, International Journal of Electrical Power & Energy Systems 30(5), (2008), p.327–36.

DOI: 10.1016/j.ijepes.2007.12.001

[19] L.D. Arya, L.S. Titare and D.P. Kothari Improved particle swarm optimization applied to reactive power reserve maximization, Electrical Power and Energy Systems 32 (2010) p.368–374.

DOI: 10.1016/j.ijepes.2009.11.007

[20] T. Hiyama, and K. Tomsovic, Current status of fuzzy system applications in power systems" Systems, Man, and Cybernetics, 1999. IEEE, SMC , 99 Conference Proceedings 1999 IEEE International Conference on Publication Date: Vol. 6, (1999).

DOI: 10.1109/icsmc.1999.816607

[21] K. Tomsovic, M.Y. Chow, Tutorial on fuzzy logic applications in power systems, Prepared for the IEEE-PES Winter Meeting in Singapore January, (2000).

[22] J.A. Momoh SM, X.W. MA, and K Tomsovic Overview and literature survey of fuzzy set theory in power system, IEEE, Vol 10, No 3, August1995.

[23] A. A. Abou EL-Ela, M. Bishr, S. Allam, and R. El–Sehiemy, Optimal power dispatch using different fuzzy constraints power systems, International Energy Journal, Volume 8, Issue 3, September (2007).

DOI: 10.1016/j.epsr.2006.04.004

[24] A. A. Abou EL-Ela, M. Bishr, S. Allam, and R. El–Sehiemy, Optimal Preventive Control Actions Using Multi- Objective Fuzzy Linear Programming Technique, Electric Power System Research Journal, Vol. 74, Issue 1, April (2005), pp.147-155.

DOI: 10.1016/j.epsr.2004.08.014

[25] A. Khorsandi, S. H. Hosseinian, A. Ghazanfari, Modified artificial bee colony algorithm based on fuzzy multi-objective technique for optimal power flow problem, Electr. Power Syst. Res., 2013, 95, p.206–213.

DOI: 10.1016/j.epsr.2012.09.002

[26] M.E. Jahromi, M. Ehsan, A. F. Meyabadi,: A dynamic fuzzy interactive approach for DG expansion planning, Int. J. Electr. Power Energy Syst., 2012, 43, (1), p.1094–1105.

DOI: 10.1016/j.ijepes.2012.06.017

[27] J. Talaq, Optimal power system stabilizers for multi machine systems, Int. J. Electr. Power Energy Syst., 2012, 43, (1), p.793–803.

DOI: 10.1016/j.ijepes.2012.06.030

[28] A. Khodabakhshian, R. Hemmati, Multi-machine power system stabilizer design by using cultural algorithms, Int. J. Electr. Power Energy Syst., 2013, 44, (1), p.571–580.

DOI: 10.1016/j.ijepes.2012.07.049

[29] V. S. Vakula, K.R. Sudha, Design of differential evolution algorithm-based robust fuzzy logic power system stabilizer using minimum rule base, IET. Gener. Transm. Distrib., 2012, 6, (2), p.121–132.

DOI: 10.1049/iet-gtd.2011.0195

[30] I. G. Sardou, M. Banejad, R.A., Hooshmand, A. Dastfan, Modified shuffled frog leaping algorithm for optimal switch placement in distribution automation system using a multi-objective fuzzy approach, IET. Gener. Transm. Distrib., 2012, 6, (6), p.493.

DOI: 10.1049/iet-gtd.2011.0177

[31] A.A. Abou, R. El–Sehiemy, and A. M. Shaheen, Multi-Objective Fuzzy Based Procedure for Optimal Reactive Power Dispatch Problem", Proceedings of the 14th International Middle East Power Systems Conference (MEPCON, 10), Cairo University, Egypt, December 19-21, (2010).

DOI: 10.21608/iceeng.2012.30813

[32] R. El Sehiemy, A. El-Ela, A. Shaheen, Multi-objective fuzzy-based procedure for enhancing reactive power management, IET Gener., Transm. & Distrib., 7, 12 (2013): 1453-1460.

DOI: 10.1049/iet-gtd.2013.0051