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Improved Invasive Weed Optimization for Solving Optimal Reactive Power Problem

K. Lenin1

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 576-580, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.576580

Online published on Jun 30, 2018

Copyright © K. Lenin . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: K. Lenin , “Improved Invasive Weed Optimization for Solving Optimal Reactive Power Problem,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.576-580, 2018.

MLA Style Citation: K. Lenin "Improved Invasive Weed Optimization for Solving Optimal Reactive Power Problem." International Journal of Computer Sciences and Engineering 6.6 (2018): 576-580.

APA Style Citation: K. Lenin , (2018). Improved Invasive Weed Optimization for Solving Optimal Reactive Power Problem. International Journal of Computer Sciences and Engineering, 6(6), 576-580.

BibTex Style Citation:
@article{Lenin_2018,
author = {K. Lenin },
title = {Improved Invasive Weed Optimization for Solving Optimal Reactive Power Problem},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {576-580},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2224},
doi = {https://doi.org/10.26438/ijcse/v6i6.576580}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.576580}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2224
TI - Improved Invasive Weed Optimization for Solving Optimal Reactive Power Problem
T2 - International Journal of Computer Sciences and Engineering
AU - K. Lenin
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 576-580
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

This paper presents Improved Invasive Weed Optimization (IIWO) for solving optimal reactive power problem. Particle Swarm Optimization (PSO) has been combined with Invasive weed optimization (IWO) to enhance exploration & exploitation capability for solving the optimal reactive power Problem. In this paper, the idea of intelligent swarming, social cooperation, competition, and reproduction in an optimization meta-algorithm has been merged.In order to evaluate the efficiency of the proposed algorithm; it has been tested on IEEE 57 bus system and simulation results reveals about the best performance of the proposed algorithm in reducing the real power loss.

Key-Words / Index Term

Invasive weed, optimal reactive Power dispatch,Transmission loss

References

[1]. O.Alsac,and B. Scott, “Optimal load flow with steady state security”,IEEE Transaction. PAS -1973, pp. 745-751.
[2]. Lee K Y ,Park Y M , Oritz J L –A united approach to optimal real and reactive power dispatch , IEEE Transactions on power Apparatus and systems 1985: PAS-104 : 1147-1153
[3]. A.Monticelli , M .V.F Pereira ,and S. Granville , “Security constrained optimal power flow with post contingency corrective rescheduling” , IEEE Transactions on Power Systems :PWRS-2, No. 1, pp.175-182.,1987.
[4]. DeebN ,Shahidehpur S.M ,Linear reactive power optimization in a large power network using the decomposition approach. IEEE Transactions on power system 1990: 5(2) : 428-435
[5]. E. Hobson ,’Network consrained reactive power control using linear programming, ‘ IEEE Transactions on power systems PAS -99 (4) ,pp 868=877, 1980
[6]. K.Y Lee ,Y.M Park , and J.L Oritz, “Fuel –cost optimization for both real and reactive power dispatches” , IEE Proc; 131C,(3), pp.85-93.
[7]. M.K. Mangoli, and K.Y. Lee, “Optimal real and reactive power control using linear programming” , Electr.PowerSyst.Res, Vol.26, pp.1-10,1993.
[8]. C.A. Canizares , A.C.Z.de Souza and V.H. Quintana , “ Comparison of performance indices for detection of proximity to voltage collapse ,’’ vol. 11. no.3 , pp.1441-1450, Aug 1996 .
[9]. S.R.Paranjothi ,andK.Anburaja, “Optimal power flow using refined genetic algorithm”, Electr.PowerCompon.Syst , Vol. 30, 1055-1063,2002.
[10]. D. Devaraj, and B. Yeganarayana, “Genetic algorithm based optimal power flow for security enhancement”, IEE proc-Generation.Transmission and. Distribution; 152, 6 November 2005.
[11]. A.Berizzi, C. Bovo, M. Merlo, and M. Delfanti, “A ga approach to compare orpf objective functions including secondary voltage regulation,” Electric Power Systems Research, vol. 84, no. 1, pp. 187 – 194, 2012.
[12]. C.-F. Yang, G. G. Lai, C.-H. Lee, C.-T. Su, and G. W. Chang, “Optimal setting of reactive compensation devices with an improved voltage stability index for voltage stability enhancement,” International Journal of Electrical Power and Energy Systems, vol. 37, no. 1, pp. 50 – 57, 2012.
[13]. P. Roy, S. Ghoshal, and S. Thakur, “Optimal var control for improvements in voltage profiles and for real power loss minimization using biogeography based optimization,” International Journal of Electrical Power and Energy Systems, vol. 43, no. 1, pp. 830 – 838, 2012.
[14]. B. Venkatesh, G. Sadasivam, and M. Khan, “A new optimal reactive power scheduling method for loss minimization and voltage stability margin maximization using successive multi-objective fuzzy lp technique,” IEEE Transactions on Power Systems, vol. 15, no. 2, pp. 844 – 851, may 2000.
[15]. W. Yan, S. Lu, and D. Yu, “A novel optimal reactive power dispatch method based on an improved hybrid evolutionary programming technique,” IEEE Transactions on Power Systems, vol. 19, no. 2, pp. 913 – 918, may 2004.
[16]. W. Yan, F. Liu, C. Chung, and K. Wong, “A hybrid genetic algorithminterior point method for optimal reactive power flow,” IEEE Transactions on Power Systems, vol. 21, no. 3, pp. 1163 –1169, aug. 2006.
[17]. J. Yu, W. Yan, W. Li, C. Chung, and K. Wong, “An unfixed piecewiseoptimal reactive power-flow model and its algorithm for ac-dc systems,” IEEE Transactions on Power Systems, vol. 23, no. 1, pp. 170 –176, feb. 2008.
[18]. F. Capitanescu, “Assessing reactive power reserves with respect to operating constraints and voltage stability,” IEEE Transactions on Power Systems, vol. 26, no. 4, pp. 2224–2234, nov. 2011.
[19]. Z. Hu, X. Wang, and G. Taylor, “Stochastic optimal reactive power dispatch: Formulation and solution method,” International Journal of Electrical Power and Energy Systems, vol. 32, no. 6, pp. 615 – 621, 2010.
[20]. A.Kargarian, M. Raoofat, and M. Mohammadi, “Probabilistic reactive power procurement in hybrid electricity markets with uncertain loads,” Electric Power Systems Research, vol. 82, no. 1, pp. 68 – 80, 2012.
[21]. J. Kennedy and R.C. Eberhart, “Particle swarm optimization,” in Proc. IEEE Int. Conference on Neural Networks, Piscataway, NJ, pp. 1942–1948, 1995.
[22]. Y. Shi and R. C. Eberhart, “A modified particle swarm optimizer,” in Proc. IEEE Int. Conference on Evolutionary Computation, Piscataway, NJ, pp 69–73, 1998.
[23]. H. Sepehri-Rad and C. Lucas, “A recommender system based on invasive weed optimization algorithm,” in Proc. IEEE Congress on Evolutionary Computation, 2007, pp. 4297–4304.
[24]. B. Dadalipour, A. R. Mallahzadeh, Z. Davoodi-Rad, “Application of the invasive weed optimization technique for antenna configurations,” in Proc. Loughborough Antennas and Propagation Conf., Loughborough, pp. 425-428, Mar. 2008.
[25]. M. Sahraei-Ardakani, M. Roshanaei, A. Rahimi-Kian, C. Lucas, “A Study of Electricity Market Dynamics Using Invasive Weed Optimization,” in Proc. IEEE Symposium on Computational Intelligence and Games, Perth, Australia, Dec. 2008.
[26]. Chaohua Dai, Weirong Chen, Yunfang Zhu, and Xuexia Zhang, “Seeker optimization algorithm for optimal reactive power dispatch,” IEEE Trans. Power Systems, Vol. 24, No. 3, August 2009, pp. 1218-1231.
[27]. J. R. Gomes and 0. R. Saavedra, “Optimal reactive power dispatch using evolutionary computation: Extended algorithms,” IEE Proc.-Gener. Transm. Distrib.. Vol. 146, No. 6. Nov. 1999.