The Impact of Shunt Capacitor Size and Location on Power Losses in Radial Distribution System

Hafiz Wildan Hassan, Madihah Md Rasid, Siti Maherah Hussin, Mohd Shafiq Anuar, Norjulia Mohamad Nordin


High power losses is produced in the distribution side as compared to another subsystem of the power system (transmission and generation). Installation of a shunt capacitor in the distribution is one of the alternative solution for power losses reduction. However, the non-optimal location and size of shunt capacitor may lead to the increment of losses. In order to reduce the power losses, the location and size of shunt capacitor are optimised simultaneously using Particle Swarm Optimization (PSO) algorithm. Different cases are carried out to observe the impact of the shunt capacitor placement. The result shows that the location of shunt capacitor influences the system power losses reduction. The shunt capacitor must be located near to the load. The optimal location and size of shunt capacitor is achieved efficiently using PSO algorithm. The study is tested on the 33-bus test system and is simulated by using MATLAB software.


Particle swarm optimisation; Power losses; Shunt capacitor

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N. Sethi, Optimal capacitor placement in radial distribution system using genetic algorithm, Master Thesis, Electrical & Instrumentation Engineering Department, Thapar University, 2009.

E. F. Fuchs and M. A. S. Masoum, Power Quality in Power Systems and Electrical Machines. New York: Academic/Elsevier, 2008.

A. R. Jordehi and J. Jasni, Parameter selection in particle swarm optimisation: A survey, Journal of Experimental & Theoretical Artificial Intelligence, 25(4), 527–542, 2013.

J. J. Jamian and N. M. Zaid, Optimal distribution network configuration with the interconnected photovoltaic system, IEEE PES Asia-Pacific Power and Energy Engineering Conference, Hong Kong, China, 2014, pp. 1–5.

S. Elsaiah, M. Benidris and J. Mitra, Analytical approach for placement and sizing of distributed generation on distribution systems, IET Generation, Transmission & Distribution, 8(6), 1039–1049, 2014.

A. A. A. El-Ela, A.-M. Kinawy, M. T. Mouwafi and R. A. El-Sehiemy, Optimal sitting and sizing of capacitors for voltage enhancement of distribution systems, 50th International Universities Power Engineering Conference, Stoke on Trent, UK, 2015, pp. 1–6.

S. P. Singh and A. R. Rao, Optimal allocation of capacitors in distribution systems using particle swarm optimization, International Journal of Electrical Power & Energy Systems, 43(1), 1267–1275, 2012.

A. K. Sarma and K. M. Rafi, Optimal selection of capacitors for radial distribution systems using plant growth simulation algorithm, International Journal of Advanced Science and Technology, 30, 43–54, 2011.

M. A. S. Masoum, M. Ladjevardi, A. Jafarian and E. F. Fuchs, Optimal placement, replacement, and sizing of capacitor banks in distorted distribution networks by genetic algorithms, IEEE Transactions on Power Delivery, 19(4), 1794–1801, 2004.

A. A. El-Fergany and A. Y. Abdelaziz, Efficient heuristic-based approach for multi-objective capacitor allocation in radial distribution networks, IET Generation, Transmission & Distribution, 8(1), 70–80, 2014.

M. N. Muhtazaruddin, Distribution network loss minimization via artificial immune bee colony, Ph.D. Thesis, Shibaura Institute of Technology, 2014.

I. Boussaïd, J. Lepagnot and P. Siarry, A survey on optimization metaheuristics, Information Sciences, 237, 82–117, 2013.

O. Ivanov, B. C. Neagu and M. Gavrilas, A parallel PSO approach for optimal capacitor placement in electricity distribution networks, International Conference on Modern Power Systems, Cluj-Napoca, Romania, 2017, pp. 1–5.

A. A. A. El-Ela, R. A. El-Sehiemy, A.-M. Kinawy and M. T. Mouwafi, Optimal capacitor placement in distribution systems for power loss reduction and voltage profile improvement, IET Generation, Transmission & Distribution, 10(5), 1209–1221, 2016.

J. Kennedy and R. Eberhart, Particle swarm optimization, International Conference on Neural Networks, Perth, Australia, 1995, pp. 1942–1948.

K. R. Guerriche and T. Bouktir, Optimal allocation and sizing of distributed generation with particle swarm optimization algorithm for loss reduction, Revue Des Sciences et de La Technologie, 6(1), 59–69, 2015.


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