Research Article | Open Access
Volume 1 | Issue 10 | Year 2014 | Article Id. IJEEE-V1I10P102 | DOI : https://doi.org/10.14445/23488379/IJEEE-V1I10P102Optimal Power Flow Problem Analysis Incorporating TCSC Using Multi-Swarm Optimization Algorithm
D.Vijay Kumar, A.V.Naresh Babu,S.Sivanagaraju
Citation :
D.Vijay Kumar, A.V.Naresh Babu,S.Sivanagaraju, "Optimal Power Flow Problem Analysis Incorporating TCSC Using Multi-Swarm Optimization Algorithm," International Journal of Electrical and Electronics Engineering, vol. 1, no. 10, pp. 6-11, 2014. Crossref, https://doi.org/10.14445/23488379/IJEEE-V1I10P102
Abstract
This paper presents optimal power flow technique namely multi swarm optimization with FACTS device. This method is used to solve the nonlinear and non-convex optimization problem. The proposed method has been examined and tested on the standard IEEE 30-bus test system with and without TCSC. The results are promising and show the effectiveness and robustness of the method.
Keywords
Cost Minimization, Optimization Techniques, Optimal Power Flow, Multi Swarm Optimization Algorithm, Thyristor-controlled series compensation.
References
[1] J. Carpentier; Optimal Power Flows; Electrical Power & Energy Systems, Butterworths; Vol. 1 , April 1979.
[2] A.V.Naresh Babu and S.Sivanagaraju, “A solution to the optimal power flow problem: A new approach based on two step initialization,” Proc. of IEEE India International Conference (INDICON) on Engineering Sustainable Solutions, BITS, Hyderabad, India, Dec. 2011.
[3] H.W. Dommel, W.F. Tinney; Optimal Power Flow Solutions; IEEE Transactions on Power Apparatus and Systems, Vol. 8, pp. 1866-1867,Oct. 1968.
[4] Salgado.R, Brameller.A, Optimal power flow solutions using the gradient projection method. II. Modelling of the power system equations , Generation Transmission and Distribution, IEE Proceedings C , Vol.137 , Issue. 6,pp.429-435,Nov.1990.
[5] D.I. Sun, B. Ashley, B. Brewer, A. Hughes, W.F. Tinney; Optimal Power Flow by Newton Method; IEEE Transactions on Power Apparatus Vol 42,pp-256-260,2007 .
[6] R.Gnanadass, P.Venkatesh and Narayana Prasad Padhy, “Evolutionary programming based optimal power flow for units with non-smooth fuel cost functions,” Electric Power Components and Systems, vol.33, pp.349-361, 2005.
[7] Zhiwen Yu, Hau-San Wong, Knowledge learning based evolutionary algorithm for unconstrained optimization problem, IEEE World Congress, pp.572-579, June. 2008.
[8] Bangia, S. Sharma, P.R, Comparison of artificial intelligence techniques for the enhancement of power quality , Power Energy and Control (ICPEC) International Conference ,pp.537-541,Feb.2013.
[9] Ah King, R.T.F , Using artificial intelligence techniques for solving power systems problems at undergraduate level, IEEE International Conference, Vol.1 , Issue. 6,pp.42-47,Dec.2003.
[10] Salgado.R, Brameller.A, Optimal power flow solutions using the gradient projection method. II. Modelling of the power system equations , Generation Transmission and Distribution, IEE Proceedings C , Vol.137 , Issue. 6,pp.429-435,Nov.1990.
[11] J. Kennedy and R. Eberhart , “ Particle swarm optimization , ” in Proc. IEEE Int. Conf. Neural Networks , Perth, Australia, vol. 4, pp. 1942 – 1948, 1995.
[12] Antonio Bolufé Röhler and Stephen Chen, “An Analysis of Sub-swarms in Multi-swarm Systems”, in Lecture Notes in Artificial Intelligence, Vol. 7106, pp. 271–280,2011.
[13] S. Z. Zhao, J. J. Liang, P. N. Suganthan, and M. F. Tasgetiren, “Dynamic Multi-Swarm Particle Swarm Optimizer with Local Search for Large Scale Global Optimization,” in Proceedings IEEE Congress on Evolutionary Computation, pp. 3845–3852,2008.
[14] T. Hendtlass, “WoSP: A Multi-Optima Particle Swarm Algorithm,” in Proceedings IEEE Congress on Evolutionary Computation, pp. 727–734,2003.
[15] S. Chen, “Locust Swarms – A New Multi-Optima Search Technique”, in Proceedings of the IEEE Congress on Evolutionary Computation, pp. 1745–1752,2009.
[16] Totonchi. I, Al Akash.H, the IEEE 30 bus system using load-flow studies , Electric Power and Energy Conversion Systems (EPECS) 3rd International Conference,pp.1-6,oct.2013.
[17] Wu Shouyuan, Zhou Xiaoxin, Design and simulation on TCSC analog model and controller, Power System Technology POWERCON International Conference , Vol.1,pp .430 – 435,aug 1998.
[18] Al.Rashidi, M.R, El-Hawary, Approach for Solving the Discrete OPF Problem Considering the Valve Loading Effects , IEEE Transactions, Vol.22 , Issue. 4 ,pp.2030-2038, Nov. 2007.
[19] Abido MA. “Optimal power flow using particle swarm optimization,” Electr Power Energy Syst, Vol.24, pp.563–71, 2002.