A NOVEL HYBRIDIZED ALGORITHM FOR REDUCTION OF REAL POWER LOSS
DOI:
https://doi.org/10.29121/granthaalayah.v5.i11.2017.2358Keywords:
Simulated Annealing, Gravitational Search Algorithm, Optimal Reactive Power, Transmission LossAbstract [English]
This paper proposes Hybridization of Gravitational Search algorithm with Simulated Annealing algorithm (HGS) for solving optimal reactive power problem. Individual position modernize strategy in Gravitational Search Algorithm (GSA) may cause damage to the individual position and also the local search capability of GSA is very weak. The new HGS algorithm introduced the idea of Simulated Annealing (SA) into Gravitational Search Algorithm (GSA), which took the Metropolis-principle-based individual position modernize strategy to perk up the particle moves, & after the operation of gravitation, Simulated Annealing operation has been applied to the optimal individual. In order to evaluate the efficiency of the proposed Hybridization of Gravitational Search algorithm with Simulated Annealing algorithm (HGS), it has been tested on standard IEEE 118 & practical 191 bus test systems and compared to the standard reported algorithms. Simulation results show that HGS is superior to other algorithms in reducing the real power loss and voltage profiles also within the limits.
Downloads
References
O.Alsac, and B. Scott, “Optimal load flow with steady state security”, IEEE Transaction. PAS -1973, pp. 745-751. DOI: https://doi.org/10.1109/TPAS.1974.293972
Lee K Y ,Paru 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 DOI: https://doi.org/10.1109/TPAS.1985.323466
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. DOI: https://doi.org/10.1109/TPWRS.1987.4335095
Deeb N, ShahidehpurS.M, Linear reactive power optimization in a large power network using the decomposition approach. IEEE Transactions on power system 1990: 5(2) : 428-435 DOI: https://doi.org/10.1109/59.54549
E. Hobson ,’Network consrained reactive power control using linear programming, ‘ IEEE Transactions on power systems PAS -99 (4) ,pp 868-877, 1980 DOI: https://doi.org/10.1109/TPAS.1980.319715
K.Y Lee, Y.MPark, and J.L Oritz, “Fuel –cost optimization for both real and reactive power dispatches” , IEE Proc; 131C,(3), pp.85-93. DOI: https://doi.org/10.1049/ip-c.1984.0012
M.K. Mangoli, and K.Y. Lee, “Optimal real and reactive power control using linear programming” , Electr.Power Syst.Res, Vol.26, pp.1-10,1993. DOI: https://doi.org/10.1016/0378-7796(93)90063-K
S.R.Paranjothi, and K.Anburaja, “Optimal power flow using refined genetic algorithm”, Electr.Power Compon.Syst, Vol. 30, 1055-1063, 2002. DOI: https://doi.org/10.1080/15325000290085343
D. Devaraj, and B. Yeganarayana, “Genetic algorithm based optimal power flow for security enhancement”, IEE proc-Generation.Transmission and. Distribution; 152, 6 November 2005. DOI: https://doi.org/10.1049/ip-gtd:20045234
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.
Esmat Rashedi, Hossein Nezamabadipour, Saeid Saryazdi.GSA: A Gravitational Search Algorithm. Information Sciences, 179(13):2232-2248, 2009.
Suman B, Kumar P. A survey of simulated annealing as a tool for single and multi-objective optimization. Journal of the Operational Research Society, 57 (10):1143-1160, 2006. DOI: https://doi.org/10.1057/palgrave.jors.2602068
El-Bouri A, Azizi N, Zolfaghari S.A comparative study of a new heuristic based on fitness memory programming and simulated annealing: the case of job shop scheduling.European Journal of Operational Research, 177:1894-1910, 2007.
Tan K C, Chew Y H, Lee L H.A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems.European Journal of Operational Research, 172:855-885,2006. DOI: https://doi.org/10.1016/j.ejor.2004.11.019
TONG Chengyi, Gravitational Search Algorithm Based on Simulated Annealing, Journal of Convergence Information Technology (JCIT) Volume9, Number2, March 2014.
IEEE, “The IEEE 30-bus test system and the IEEE 118-test system”, (1993), http://www.ee.washington.edu/trsearch/pstca/.
Jiangtao Cao, Fuli Wang and Ping Li, “An Improved Biogeography-based Optimization Algorithm for Optimal Reactive Power Flow”, International Journal of Control and Automation Vol.7, No.3 (2014), pp.161-176.
Downloads
Published
How to Cite
Issue
Section
License
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.