Real Power Loss Reduction by Enriched Black Fish Optimization Algorithm

Lenin Kanagasabai



In this paper Enriched Black Fish Algorithm (EBA) has been utilized to solve the optimal reactive power problem. Bubble net hunting tactic has been imitated to form the Black Fish Algorithm (BA). Modernized solution is mainly depended on the current best candidate solution in Black fish optimization algorithm (BA). An inertia weight ω ∈ [1, 0] is introduced into Black fish optimization algorithm alike in particle swarm optimization algorithm, to acquire the Enriched black fish optimization algorithm (EBA). Roulette wheel selection method has been used to perk up the convergence rate of proposed enriched black fish optimization algorithm (EBA). The proposed EBA has been tested in standard IEEE 57,118 bus systems and simulation results show clearly about the better performance of the proposed algorithm in reducing the real power loss with control variables within the limit


Alsac.O and B. Scott,(1973) “Optimal load flow with steady state security”,IEEE Transaction. PAS , pp. 745-751.

Lee K.Y ,Paru Y.M,Oritz J.L,(1985) “A united approach to optimal real and reactive power dispatch” , IEEE Transactions on power Apparatus and systems, PAS-104 : 1147-1153

Monticelli.A,M.V.F Pereira ,and S. Granville, (1987) “Security constrained optimal power flow with post contingency corrective rescheduling” , IEEE Transactions on Power Systems :PWRS-2, No. 1, pp.175-182.

Deeb.N ,ShahidehpurS.M, (1990) “Linear reactive power optimization in a large power network using the decomposition approach”,IEEE Transactions on power system, 5(2) : 428-435

Hobson.E, (1980),“Network consrained reactive power control using linear programming”, IEEE Transactions on power systems PAS -99 (4) ,pp 868-877.

Lee .K.Y ,Y.M Park , and J.L Oritz, (1993) “Fuel –cost optimization for both real and reactive power dispatches” , IEE Proc; 131C,(3), pp.85-93.

Mangoli.M.K and K.Y. Lee, (1993), “Optimal real and reactive power control using linear programming” ,Electr.PowerSyst.Res, Vol.26, pp.1-10.

Canizares.C.A, Souza and V.H. Quintana ,(1996) “ Comparison of performance indices for detection of proximity to voltage collapse ,’’vol., pp.1441-1450.

Berizzi.C.Bovo,M.Merlo,andM.Delfanti,(2012), “A ga approach to compare orpf objective functions including secondary voltage regulation,” Electric Power Systems Research, vol. 84, no. 1, pp. 187 – 194.

Roy.P,S.Ghoshal,andS.Thakur,(2012),“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.

Hu.Z,X.Wang, andG.Taylor,(2010),“Stochastic optimal reactive power dispatch: Formulation and solution method,” International Journal of Electrical Power and Energy Systems, vol. 32, no. 6, pp. 615 – 621.

Eleftherios I. Amoiralis, Pavlos S. Georgilakis, Marina A. Tsili, Antonios G. Kladas,(2010), “Ant Colony Optimisation solution to distribution transformer planning problem”, Internationl Journal of Advanced Intelligence Paradigms , Vol.2, No.4 ,pp.316 – 335.

Seyedali Mirjalili,Andrew Lewis,(2016), “ The whale optimization algorithm”Advances in Engineering Software.Volume 95, May 2016, Pages 51–67.

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.

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.

IEEE, “The IEEE 30-bus test system and the IEEE 118-test system”, (1993),

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.

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