Application of Jaya Algorithm for reactive power reserve optimization accounting constraints on voltage stability margin

Application of Jaya Algorithm for reactive power reserve optimization accounting constraints on voltage stability margin

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-51 Number-2
Year of Publication : 2017
Authors : Pradeep Purey, Rajesh Arya
DOI :  10.14445/22315381/IJETT-V51P219

Citation 

Pradeep Purey, Rajesh Arya "Application of Jaya Algorithm for reactive power reserve optimization accounting constraints on voltage stability margin", International Journal of Engineering Trends and Technology (IJETT), V51(2),106-114 September 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Adequate reactive power reserve and voltage stability margin are important issues for secure operation of power system. Adequate reserve and margin is achieved by suitable settings of reactive power control variables. In view of this a novel technique to achieve the above mentioned objectives has been described in this paper. A quadratic performance index which minimizes deviation of reactive power generation from average generation output of the generators. This assures adequate reactive power reserve at various PV-buses on the lower as well as upper bound sides. The fitness function has been minimized using Jaya algorithm subject to desired voltage stability margin and accounting all equality and inequality operating constraints. The developed algorithm has been implemented on two standard test systems. The result obtained has been compared with those obtained using Teaching Learning Based Optimization technique (TLBO), Differential Evolution (DE) and Coordinated Aggregation Particle Swarm Optimization (CAPSO).

Reference
[1] P. Kundur, ‘Power system stability and control ‘TMH, Edition, 1994.
[2] A. Tiranuchit and R.J. Thomas, ‘A posturing strategy against voltage instabilities in electric power systems’ IEEE Trans. on PS, 1988,Vol.3 , No.1, pp.81-93.
[3] M.M. Begovic and A.G. Phadke, ‘Control of voltage stability using sensitivity analysis ‘ IEEE Trans. on PS, 1992, Vol.7 , No.1 , pp. 114-123.
[4] A.M. Chebbo, M.R. Irving, and M.J.H. Sterling, ‘Reactive power dispatch incorporating voltage stability’ Proc. IEEE Part-C, 1992, Vol.139, No.3, pp.253-260.
[5] V. Ajjarapu, P.L. Lau and S. Battula, ‘An optimal reactive power planning strategy against voltage collapse ’ IEEE Trans on PS, 1994, Vol.9, No.2, pp.906-917.
[6] Bansilal, D. Thukaram, and K. Parthsarthy, ‘optimal reactive power dispatch algorithm for voltage stability improvement’ Int. J. of Electrical Power and Energy systems, Vol.18, No.7, 1996 pp.461-468.
[7] P. Kessel and H. Glavitsch, ‘Estimating the voltage stability of power systems’ IEEE Trans. on PWRD, Vol.1, No.3, pp. 346-354.
[8] L.D. Arya, S.C. Choube and D.P. Kothari, ‘Reactive power optimization using static voltage stability index’,‘Int. J. of Elect. Power components and systems’ Vol.29, March 2001, pp. 615-628.
[9] L.D. Arya, D.K. Sakravdia and D.P. Kothari, ‘corrective rescheduling for static voltage stability control’ Int. J. of Elec. Power and Energy systems, Vol.27, Jan.2005, pp.3-12.
[10] V.S. Pande, L.D. Arya and S.C. Choube, ‘Artificial neural network based reactive reserve management for voltage stability enhancement’ Proc. Int. Conf. on Power systems, Kathmandu, Nepal, Dec.3-6, 2004.
[11] L.S. Titare and L.D. Arya, ‘An approach to mitigate voltage collapse accounting uncertainties using improved particle swarm optimization’ Applied soft Computing Journal, Vol.19, No.4, sept.2009, pp.1197-1207.
[12] R. Taghavi, A.R. Seifi and M.N. Pourahmadi, ‘Fuzzy reactive power optimization in hybrid power systems’ Int. J Electrical power Energy systems, Vol.42, No.1, 2012, pp 375-383.
[13] A.H. Khazali and M. Kalantar, ‘optimal reactive power dispatch based on harmony search algorithm’ Int. J Electrical Power Energy Systems, Vol.33, No.3, 2011, pp.684-692.
[14] D. Devraj and J.P. Roselyn, ‘Genetic algorithm based reactive power dispatch for voltage stability improvement’ Int. J. Electrical power Energy system. Vol.32, No.10, 2010, pp.1151-1156.
[15] O.A. Mousavi, M. Bozorg and R. Cherkaowi, ‘Preventive reactive power management for improving voltage stability margin’ Electric Power system Research, Vol.96, 2013, pp 36-46.
[16] H. Singh and L. Shrivastava , ‘Modified differential evolution algorithm for multi objective VAR management’ Int. J. of Electrical Power Energy systems, Vol.55, 2014 , pp. 731-740.
[17] L.S. Titare, P. Singh, L.D. Arya and S.C. Choube, ‘Optimal reactive power rescheduling based EPSDE algorithm to enhance static voltage stability’ Int. J. of Electrical Power and Energy systems, Vol.63, 2014, pp. 588-599
[18] S. Fang, H. Cheng, G. Xu, Q. Zhou, H. He and P. Zeng, ‘Stochastic reactive power dispatch considering voltage areas’ Int. Trans. on Electrical Energy system , Vol.27, No.3, March 2017, Doi 10.10.02/etep.2269
[19] B. Bhattacharya and S. Raj, ‘Differential evolution technique for the optimization of reactive power reserves’ Journal of circuits systems and computers (world’s scientific), Vol.26, No.10, October 2017, p.1750155
[20] Q. Sun, H. Cheng and Y. Song, ‘Bi-objective reactive power reserve optimization to co- ordinate long and short term voltage stability’ IEEE Access, Date of publication 9, May 2017, DOI : 10.1109/ ACCESS. 2017.2701826
[21] S. Fang, H. Cheng, Y. Song, Z. Ma, Z. Zhu, P. Zeng and L. Yao, ‘Interval optimal reactive power dispatch considering generator rescheduling.’ IET Generation, Transmission and distribution , Vol.10, No.8, May 2016, pp. 1833-1841
[22] D.G. Rojar, J.L. Lezma and W. Villa, ‘Meta heuristic Techniques Applied to the optimal reactive power dispatch : a review IEEE Latin America Transactions, Vol.14, No.5, May 2016, pp. 2253-2263
[23] R. Venkata Rao, ‘Jaya ; A simple and new optimization algorithm for solving constraints and un- constrained optimization problems’ International Journal of Industrial Engineering Computations, Vol.7, No.1, 2016, pp. 19-34.
[24] R.V.Rao, V.J.Savsani and D.P. Vakharia, ‘Teachinglearning- based optimization: An optimization method for continuous non-linear large scale problems’, Information Sciences, 2012, Vol. 183, No.1, pp. 1-15.
[25] R.Storn and K.Price,‘Differential evolution – a simple and efficient heuristic for global optimization over continuous spaces’ Journal Global Optimization, Vol. 11, No. 4, December 1997, pp. 341-359.
[26] G.J. Vlachogiannis and K.Y. Lee, ‘A comparative study on particle swarm optimization for optimal steady state performance of power systems’ IEEE Transactions on Power Systems, Vol. 21, No. 4, 2006, pp. 1318-1328.
[27] Kreyszig, E.W., ‘Advance engineering mathematics’ John Wiley & Sons, Inc.; 2001 (Book).
[28] L.D. Arya and A. Koshti, ‘Anticipatory load shedding for line overload alleviation using Teaching learning based optimization (TLBO)’s, International Journal of Electrical Power & Energy Systems, vol. 63, 2014, pp. 862-877.

Keywords
voltage stability margin, reactive power reserve, reactive power control variables, jaya algorithm.