Capacitor placement in Power Distribution Networks using Particle Swarm Optimization: Case Study Savannakhet Province

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Suttichai Premrudeepreechacharn
Phavixa Vongvilasack
Kanchit Ngamsanroj


This research represents the optimal capacitor placement on medium voltage (MV) distribution system with distributed generation (DG) connection applied particle swarm optimization (PSO) algorithm. This paper purposes to reduction losses in system and minimize expense of the installation shunt capacitors. Loss sensitivity factor is utilized for selection applicant bus and the optimal bus and size for installed capacitor is applied particle swarm optimization (PSO) algorithm. Case studies consist of the consideration fixed and switched type of capacitor in case with/without DG connect to the real power distribution of Savannakhet province. The simulation of study and the proposed method are employed through DIgSILENT PowerFactory and MATLAB software. The result of the study demonstrates that the proposed method can be reduced power losses and improved the bus voltage because of the decreasing current flow through the distribution network from installing capacitor banks for compensated reactive power.


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Author Biography

Phavixa Vongvilasack, Electrical Engineering Program, Chiang Mai University

Mr.Phavixa Vongvilasack is Master’s student in Electrical Engineering Program, Chiang Mai University Gradedual school, Thailand


Abul’Wafa, A. R. (2013). Optimal capacitor allocation in radial distribution systems for loss reduction: A two stage method. Electric Power Systems Research, 95, 168-174.

Aman, M. M., Jasmon, G. B., Bakar, A. H. A., Mokhlis, H., & Karimi, M. (2014). Optimum shunt capacitor placement in distribution system—A review and comparative study. Renewable and Sustainable Energy Reviews, 30, 429-439.

Baran, M. E., & Wu, F. F. (1989). Optimal capacitor placement on radial distribution systems. IEEE Transactions on power Delivery, 4(1), 725-734.

Baran, M., & Wu, F. F. (1989). Optimal sizing of capacitors placed on a radial distribution system. IEEE Transactions on power Delivery, 4(1), 735-743.

Cho, M. Y., & Chen, Y. W. (1997). Fixed/switched type shunt capacitor planning of distribution systems by considering customer load patterns and simplified feeder model. IEE Proceedings-Generation, Transmission and Distribution, 144(6), 533-540.


Cook, R. F. (1961). Optimizing the application of shunt capacitors for reactive-volt-ampere control and loss reduction. Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems, 80(3), 430-441.

Díaz, P., Pérez-Cisneros, M., Cuevas, E., Camarena, O., Martinez, F. A. F., & González, A. (2018). A swarm approach for improving voltage profiles and reduce power loss on electrical distribution networks. IEEE Access, 6, 49498-49512.

Hung, D. Q., Mithulananthan, N., & Bansal, R. C. (2015). A combined practical approach for distribution system loss reduction. International Journal of Ambient Energy, 36(3), 123-131.

Jafari, A., Ganjehlou, H. G., Khalili, T., Mohammadi-Ivatloo, B., Bidram, A., & Siano, P. (2020). A two-loop hybrid method for optimal placement and scheduling of switched capacitors in distribution networks. IEEE Access, 8, 38892-38906.

Moondee, W., & Srirattanawichaikul, W. (2019, October). Reactive Power Management of MV Distribution Grid with Inverter-based PV Distributed Generations using PSO Algorithm. In IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society (pp. 2239-2244). IEEE.

Ng, H. N., Salama, M. M. A., & Chikhani, A. Y. (2000). Classification of capacitor allocation techniques. IEEE Transactions on power delivery, 15(1), 387-392.

Nojavan, S., Jalali, M., & Zare, K. (2014). Optimal allocation of capacitors in radial/mesh distribution systems using mixed integer nonlinear programming approach. Electric Power Systems Research, 107, 119-124.

Prakash, K., & Sydulu, M. (2006, October). A novel approach for optimal location and sizing of capacitors on radial distribution systems using loss sensitivity factors and/spl alpha/-coefficients. In 2006 IEEE PES Power Systems Conference and Exposition (pp. 1910-1913). IEEE.

Shuaib, Y. M., Kalavathi, M. S., & Rajan, C. C. A. (2015). Optimal capacitor placement in radial distribution system using gravitational search algorithm. International Journal of Electrical Power & Energy Systems, 64, 384-397.

Singh, S. N., & Yadagiri, J. (2009, November). Application of advanced particle swarm optimization techniques to wind-thermal coordination. In 2009 15th International Conference on Intelligent System Applications to Power Systems (pp. 1-6). IEEE.

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

Su, C. T., & Tsai, C. C. (1996, December). A new fuzzy-reasoning approach to optimum capacitor allocation for primary distribution systems. In Proceedings of the IEEE International Conference on Industrial Technology (ICIT'96) (pp. 237-241). IEEE.

World Bank Group. (2018). Electric power transmission and distribution losses (% of output). Retrieved from:

Shaheen, A. M., & El-Sehiemy, R. A. (2020). Optimal coordinated allocation of distributed generation units/capacitor banks/voltage regulators by EGWA. IEEE Systems Journal, 15(1), 257-264.