Optimal Capacitor Allocation in Distribution System Using Particle Swarm Optimization

Abstract:

Capacitor installation is one of the most commonly used methods for reactive power compensation in the distribution networks. In this paper, the optimum capacitor placement and its sizing has been applied in the distribution network in terms of power losses minimization and voltage profile improvement. The maximum and minimum bus voltage and the maximum possible capacitor size are the constraints of optimum capacitor placement and sizing problem. There are considered as the penalty factor in the objective function. In order to evaluate the obtained objective function, the Particle Swarm Optimization (PSO) is utilized to find the best possible capacitor placement and capacity. The OpenDSS software has then been utilized to solve the power flow through Matlab coding interface. To validate the functionality of the proposed method, the IEEE 13-bus test system is implemented and the obtained results have been compared with the IEEE standard case without capacitor compensation. The results show that the proposed algorithm is more cost effective and has lower power losses as compared to the IEEE standard case. In addition, the voltage profile has been improved, accordingly.

• Periodical: Applied Mechanics and Materials (Volume 699)
• Pages: 770-775
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.699.770
• Online since: November 2014
• Authors: Ihsan Jabbar Hasan, Chin Kim Gan, Meysam Shamshiri, Mohd Ruddin Ab Ghani, Ismadi bin Bugis
• Keywords: Capacitor Allocation, Distribution Networks, OpenDSS, PSO

References

[1] A. Eajal and M. El-Hawary, Optimal capacitor placement and sizing in distorted radial distribution systems part III: Numerical results, 4th International Conference on Harmonics and Quality of Power (ICHQP), (2010) 1 – 8.

DOI: 10.1109/ichqp.2010.5625474

[2] M. Medeiros, A memetic algorithm based on mixed ant colony optimization and genetic algorithm for optimal capacitor placement, 16th International Conference on Intelligent System Application to Power Systems (ISAP), (2011) 1–6.

DOI: 10.1109/isap.2011.6082188

[3] S.A. Taher, A. Karimian, and M. Hasani, A new method for optimal location and sizing of capacitors in distorted distribution networks using PSO algorithm, Simulation Modelling Practice and Theory, 19(2) (2011) 662–672.

DOI: 10.1016/j.simpat.2010.09.001

[4] 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) (2014) 1794–1801.

DOI: 10.1109/tpwrd.2004.835438

[5] R. Dugan, OpenDSS introductory training level 1 introduction, 2009. [Online]. Available: http: /www. smartgrid. epri. com/doc/OpenDSS Level 1 Training. pdf.

[6] M. Shamshiri, C. K. Gan, K. Jusoff, I. J. Hasan, M. Ruddin, M. Yusoff, E. Engineering, M. Utem, H. T. Jaya, D. Tunggal, and T. Jaya, Using particle swarm optimization algorithm in the distribution system planning, Australian Journal of Basic and Applied Sciences (AJBAS), 7(3) (2013).

[7] X. Yu, X. Xiong, and Y. Wu, A PSO-based approach to optimal capacitor placement with harmonic distortion consideration, Electric Power Systems Research, 71(1) (2004) 27–33.

DOI: 10.1016/j.epsr.2004.01.002

[8] A. K. Sarma and K. M. Rafi, Optimal selection of capacitors for radial distribution systems using plant growth simulation algorithm, 30 (2011) 43–54.

[9] Y. Baghzouz and S. Ertem, Shunt capacitor sizing for radial distribution feeders with distorted substation voltages, IEEE Transactions on Power Delivery, 5(2), (1990) 650–657.

DOI: 10.1109/61.53067

[10] W. Kersting, Radial distribution test feeders, Power Engineering Society Winter Meeting, IEEE, 2 (2001) 908–912.

DOI: 10.1109/pesw.2001.916993