Advertisement

FIS and hybrid ABC-PSO based optimal capacitor placement and sizing for radial distribution networks

  • Sarika SharmaEmail author
  • Smarajit Ghosh
Original Research
  • 9 Downloads

Abstract

Electric power generated from the power stations can be distributed to the consumers using different networks. Among those the radial distribution network is the attractive one. Power loss occurred in this network can be reduced and the voltage profile can be improved by placing optimal sized capacitors. There are various algorithms and techniques, which have been used previously to inspect the situation where the capacitors are needed to be placed at suitable nodes with optimal sized. This paper proposes another near approach, which will decide the most appropriate nodes on the essential feeders, laterals and sublaterals of any radial distribution network for ideal capacitor integration in order to enhance power loss reduction and also to enhance the voltage profile utilizing loss sensitivity factor (LSF) strategy and hybrid ABC-PSO calculation. The established LSF approach is utilized here to locate the most appropriate nodes and the optimal capacitor size can be settled with the hybrid ABC-PSO calculation. Capacitor size is an exceedingly nonlinear issue and henceforth fuzzy inference system (FIS) technique is chosen as the most suitable transports for the capacitor position. The sizes of the capacitors relating to least genuine power misfortune are resolved. The proposed technique has been implemented on IEEE 69-node and 34-node radial distribution networks.

Keywords

Capacitor placement Fuzzy inference system (FIS) Hybrid ABC-PSO algorithm Loss sensitivity factor (LSF) Optimal capacitor sizing Radial distribution network (RDN) Sensitive nodes 

Notes

References

  1. Ahmadi H, Marti JR (2015) Distribution system optimization based on a linear power-flow formulation. IEEE Trans Power Deliv 30(1):25–33CrossRefGoogle Scholar
  2. Babu VP, Singh SP (2016) Capacitor allocation in radial distribution system for maximal energy savings. In: Power systems conference (NPSC), 2016 National, pp 1–6Google Scholar
  3. Basyarach NA, Penangsang O, Soeprijanto A (2017) Optimal capacitor placement and sizing in radial distribution system using accelerated particle swarm optimization. In: Intelligent technology and its applications (ISITIA), 2017 international seminar on, pp 93–97Google Scholar
  4. Chen SX, Eddy YSF, Gooi HB, Wang MQ, Lu SF (2015) A centralized reactive power compensation system for LV distribution networks. IEEE Trans Power Syst 30(1):274–284CrossRefGoogle Scholar
  5. Choi JY, Swaminathan M (2011) Decoupling capacitor placement in power delivery networks using MFEM. IEEE Trans Compon Packag Manuf Technol 1(10):1651–1661CrossRefGoogle Scholar
  6. Chopade P, Bikdash M (2011) Minimizing cost and power loss by optimal placement of capacitor using ETAP. In: The proceedings of IEEE 43rd southeastern symposium on system theory (SSST) pp 24–29Google Scholar
  7. Chung-Fu C (2008) Reconfiguration and capacitor placement for loss reduction of distribution systems by ant colony search algorithm. IEEE Trans Power Syst 23(4):1747–1755CrossRefGoogle Scholar
  8. Eajal AA, El-Hawary ME (2010) Optimal capacitor placement and sizing in unbalanced distribution systems with harmonics consideration using particle swarm optimization. IEEE Trans Power Deliv 25(3):1734–1741CrossRefGoogle Scholar
  9. Flourentzou N, Agelidis VG, Demetriades GD (2009) VSC-based HVDC power transmission systems: an overview. IEEE Trans Power Electron 24(3):592–602CrossRefGoogle Scholar
  10. Ghahremani E, Kamwa I (2013) Optimal placement of multiple-type FACTS devices to maximize power system load ability using a generic graphical user interface. IEEE Trans Power Syst 28(2):764–778CrossRefGoogle Scholar
  11. Ghosh S, Das D (1999) Method for load-flow solution of radial distribution networks. IEE Proc Gener Transm Distrib 146(6):641CrossRefGoogle Scholar
  12. Jiang W, Wu G, Yu L, Li H, Chen W (2018) Manipulator multi-objective motion optimization control for high voltage power cable mobile operation robot. J Ambient Intell Humaniz Comput.  https://doi.org/10.1007/s12652-018-0835-y Google Scholar
  13. Kannan SM, Renuga P, Kalyani S, Muthukumaran E (2011) Optimal capacitor placement and sizing using Fuzzy-DE and Fuzzy-MAPSO methods. Appl Soft Comput 11(8):4997–5005CrossRefGoogle Scholar
  14. Khalil TM, Gorpinich AV, Elbanna GM (2013) Combination of capacitor placement and reconfiguration for loss reduction in distribution systems using selective PSO. In: Proceedings of 22nd international conference and exhibition on electricity distribution (CIRED 2013) pp 1–4Google Scholar
  15. Kleinberg MR, Miu K, Segal N, Lehmann H, Figura TR (2014) A partitioning method for distributed capacitor control of electric power distribution systems. IEEE Trans Power Syst 29(2):637–644CrossRefGoogle Scholar
  16. Kocar I, Mahseredjian J, Karaagac U, Soykan G, Saad O (2014) Multiphase load-flow solution for large-scale distribution systems using MANA. IEEE Trans Power Deliv 29(2):908–915CrossRefGoogle Scholar
  17. Lo KL, Lin YJ, Trecat J, Crappe M (1997) Improvement of FACTS incorporated power systems stability performance through fuzzy control. In: Proceedings of 3rd IPEC Conference, Singapore, pp 160–165Google Scholar
  18. Lo KL, Lin YJ, Siew WH (1999) Fuzzy-logic method for adjustment of variable parameters. Proc IEE Gen Trans Dist 146(3):276–282CrossRefGoogle Scholar
  19. Loia V, S Tomasiello, Vaccaro A (2017) Using fuzzy transform in multi-agent based monitoring of smart grids. Inf Sci 388:209–224CrossRefGoogle Scholar
  20. Mandal S, Mandal KK, Tudu B (2016) A new hybrid particle swarm optimization technique for optimal capacitor placement in radial distribution systems. In: Control, instrumentation, energy & communication (CIEC), 2016 2nd international conference on, pp 536–540Google Scholar
  21. Meena S, Chitra K (2018) An approach of firefly algorithm with modified brightness for PID and I-PD controllers of SISO systems. J Ambient Intell Humaniz Comput.  https://doi.org/10.1007/s12652-018-0747-x Google Scholar
  22. Neelima S, Subramanyam PS (2012) Optimal capacitor placement in distribution networks for loss reduction using differential evolution incorporating dimension reducing load flow for different load levels. In: The proceeding of IEEE energy tech pp 1–7Google Scholar
  23. Niroomand S, Bazyar A, Alborzi M, Mahmoodirad A (2018) A hybrid approach for multi-criteria emergency center location problem considering existing emergency centers with interval type data: a case study. J Ambient Intell Humaniz Comput 9(6):1–10CrossRefGoogle Scholar
  24. Olamaei J, Moradi M, Kaboodi T (2013) A new adaptive modified firefly algorithm to solve optimal capacitor placement problem. In: The proceedings of 18th conference on electrical power distribution networks (EPDC) pp 1–6Google Scholar
  25. Prakash K, Sydulu M (2007) Particle swarm optimization based capacitor placement on radial distribution system. In: Proceedings, 2007 IEEE power engineering society general meeting, Tampa, Florida, pp 1–5Google Scholar
  26. Ravichandran KS, Alsheyuhi SSS (2011) FELM based intelligent optimal switching capacitor placement. In: The proceedings of 2011 eighth international conference on fuzzy systems and knowledge discovery (FSKD) 1:366–371Google Scholar
  27. Sirjani R, Mohamed A, Shareef H (2011) An improved harmony search algorithm for optimal capacitor placement in radial distribution systems. In: The proceedings of 5th international power engineering and optimization conference (PEOCO) pp 323–328Google Scholar
  28. Tao LY, Wei J, Xiaoping D, Zhaoqing J (2012) Realization of reactive power compensation in distribution transformer monitoring system. In: The proceedings of China international conference on electricity distribution (CICED) pp 1–4Google Scholar
  29. Trach I, Zubiuk Y (2013) A combined approach to multi-objective optimization of capacitor placement in radial distribution networks. In: The proceedings of 3rd international conference on electric power and energy conversion systems (EPECS) pp 1–5Google Scholar
  30. Vlachogiannis JG (2001) Fuzzy logic application in load flow studies. IET Gener Transm Distrib 148(1):34CrossRefGoogle Scholar
  31. Vuletić J, Todorovski M (2014) Optimal capacitor placement in radial distribution systems using clustering based optimization. Int J Electr Power Energy Syst 62:229–236CrossRefGoogle Scholar
  32. Xu Y, Dong ZY, Wong KP, Liu E, Yue B (2013) Optimal capacitor placement to distribution transformers for power loss reduction in radial distribution systems. IEEE Trans Power Syst 28(4):4072–4079CrossRefGoogle Scholar
  33. Yang L, Guo Z (2008a) Comprehensive optimization for energy loss reduction in distribution networks. In: The proceedings of power and energy society general meeting—conversion and delivery of electrical energy in the 21st century, (2008 IEEE) pp 1–8Google Scholar
  34. Yang L, Guo Z (2008b) Reconfiguration of electric distribution networks for energy losses reduction. In: The proceeding of third international conference on electric utility deregulation and restructuring and power technologies (DRPT 2008) pp 662–667Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Electrical EngineeringGovernment Polytechnic CollegeAmbala CityIndia
  2. 2.Department of Electrical and Instrumentation EngineeringThapar Institute of Engineering and TechnologyPatialaIndia

Personalised recommendations