Open Access Open Access  Restricted Access Subscription or Fee Access

Power Loss Reduction in Distribution Network by Using Particle Swarm Optimization

S. Sathies Kumar, M. Kalidasan, Dr. T. Guna Sekar, S. Dinesh Kumar

Abstract


In this paper, a new evolutionary approach has been discussed for reactive power dispatch (loss reduction) with the contribution of particle swarm optimization. Proposed algorithm has been applied to achieve the major objective as the system loss minimization with satisfied equality and inequality constraints. Tap settings of transformer, voltage at generator bus and shunt capacitor banks have been considered as control variables. Successful application of proposed algorithm is done on different IEEE bus systems. In comparison of other previous work, this proposed algorithm provides the better results.


Keywords


Power Loss, Distribution Network, PSO, STATCOM

Full Text:

PDF

References


Mamandur KRC and Chenoweth RD 1981. Optimal control of reactive power flow for improvements in voltage profiles and for real power loss minimization. IEEE Trans Power Appar Syst; PAS-100(7).

Thanushkodi K., Vijaya Pandian S. Muthu, Apragash R.S.Dhivy, Jothikumar M., sriramnivas S. and Vindoh K. 2008. An Efficient Particle Swarm Optimization for Economic Dispatch Problems with Non-smooth cost functions. WSEAS Transactions on Power Systems, Issue 4, Volume 3, (April 2008). , pp. 257-266

Kennedy J. 1997. The Particle Swarm: Social Adaptation of Knowledge. Proceedings of IEEE.

R. Sirkami, A. Mohamed, H. Shareef,“Optimal Placement and Sizing of Shunt FACTS Device in Power System Using Heurestic Optimization Techniques: a Comprehensive Survey“, PRZEGLĄD ELEKTROTECHNICZNY (Electrical Review), ISSN 0033-2097, R. 88, NR 10b/2012, pp. 341-335

Chebbo M. and. Irving M. R. 1995. Combined active and reactive despatch {Part 1: Problem formu- lation and solution algorithm, IEE Proc. Gener. Transm. Distrib. vol.142, no.4, pp.393-400.

Shi Y, Eberhart R. 2000. Comparing inertia weights and constriction factors in particle swarm optimization. EvolComput; 1:84.

Hirotaka Yoshida. 2000. "A Particle Swarm Optimization for Reactive Power and Voltage Control Considering Voltage Security Assessment", IEEE Transactions on Power Systems, Vol. 15, No. 4, (November 2000), pp. 1232-1239.

Bhattacharyya B, Goswami SK. 2007. Combined heuristic and evolutionary approach for reactive power planning problem. J Electric Syst; 3 (4):203–13.

N. Mancer, B. Mahdad, K. Srairi, "MultiObjective Optimal Reactive Power Flow Based STATCOM Using Three Variant of PSO", International Journal of Energy Engineering 2012, 2(2), pp. 1-7.

Y. del Valle, J. C. Hernandez, G. Venayagamoorthy, R. G. Harley, "Multiple STATCOM allocation and sizing using particle swarm optimization" ,Proc. IEEE PES Power Systems Conf. Expo, 2006, pp.1884 –1891.

Y. del Valle, J. Hernandez, G. Venayagamoorthy, R. Harley, "Optimal STATCOM sizing and placement using particle swarm optimization", Proc. IEEE PES Transm. And Distrib. Conf. Expo–TDC'06, Latin America, 2006, pp.1-6.

Devaraj D. and Preetha Roselyn J. 2010. Genetic algorithm based reactive power dispatch for voltage stabilityimprovement, Electrical Power and Energy Systems vol. 32, pp. 1151-1156


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.