Reduction of Real Power Loss by Nature Inspired Algorithm

Yıl 2016, Cilt: 4 Sayı: 1, 1 - 4, 30.03.2016

Kanagasabai Lenin , Bhumanapally Ravindhranath Reddy M. Surya Kalavathi

Öz

This paper presents American Buffalo algorithm (AB) to solve reactive power dispatch problem. AB algorithm imitates the American buffalo behaviour and their exploration techniques they utilize in the American forests and grasslands. The American buffalo employs its special intellectual, cooperative and independent approach in its exploration for the optimal path to reach the grassland. This endows it to get results faster than some other exploration agents. Proposed AB algorithm has been verified in standard IEEE 30 bus test system. Simulation results show evidently about the improved performance of the proposed algorithm in reducing the real power loss with control variables within the limits.

Anahtar Kelimeler

American buffalo, Optimization, Optimal reactive power, Transmission loss

Kaynakça

• [1] O. Alsac, and B. Scott, “Optimal load flow with steady state security”, IEEE Transaction. Vol.PAS-93, No.3, pp.745-751, 1974. [2] K.Y. Lee, Y.M. Park, J.L. Oritz, “A united Approach to Optimal Real and Reactive Power Dispatch”, IEEE Transactions on power Apparatus and systems, Vol.PAS-104, No.5, pp.1147-1153, 1985. [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, Vol.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, Vol.5, No.2, pp.428-435, 1990. [5] E. Hobson,”Network Consrained Reactive Power Control Using Linear Programming”, IEEE Transactions on Power Systems, Vol.PAS-99, No.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. Vol.131, No.3, pp.85-93, 1984. [7] M.K. Mangoli, and K.Y. Lee, “Optimal real and reactive power control using linear programming”, Electr.Power System Research, Vol.26, No.1, 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] 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. [10] 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. [11] 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. [12] I.A. Eleftherios, P.S. Georgilakis, M.A. Tsili, G.K. Antonios, “Ant Colony Optimisation Solution to Distribution Transformer Planning Problem”, Internationl Journal of Advanced Intelligence Paradigms , Vol.2, No.4 , pp.316-335, 2010. [13] J.B. Odili, M.N.M. Kahar, “Numerical Function Optimization Solutions Using the African Buffalo Optimization Algorithm”, British Journal of Mathematics & Computer Science, Vol.10, No.1, pp.1-12, 2015. [14] Q.H. Wu, Y.J.Cao, and J.Y. Wen. “Optimal Reactive Power Dispatch Using an Adaptive Genetic Algorithm”, International Journal of Elect. Power Energy Systems, Vol.20. pp.563-569, Aug 1998. [15] B. Zhao, C. X. Guo, and Y.J. CAO, “Multiagent-based Particle Swarm Optimization Approach for Optimal Reactive Power Dispatch”, IEEE Trans. Power Syst. Vol.20, No.2, pp.1070-1078, May 2005. [16] Mahadevan. K, Kannan P. S. “Comprehensive Learning Particle Swarm Optimization for Reactive Power Dispatch”, Applied Soft Computing, Vol.10, No.2, pp.641–52, March 2010. [17] A.H. Khazali, M. Kalantar, “Optimal Reactive Power Dispatch based on Harmony Search Algorithm”, Electrical Power and Energy Systems, vol.33, no.3, pp.684-692, March 2011. [18] S. Sakthivel, M. Gayathri, V. Manimozhi, “A Nature Inspired Optimization Algorithm for Reactive Power Control in a Power System”, International Journal of Recent Technology and Engineering (IJRTE) , vol.2, no.1, pp.29-33, March 2013.