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New optimal placement of capacitors and dispersed generators using bacterial foraging oriented by particle swarm optimization algorithm in distribution systems

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Abstract

The shunt capacitor devices are utilized in distribution systems to possibly reduce reactive component of power losses. Besides, the dispersed generator (DG) units can be used to supply active power of loads and reduce active component of power losses. In this paper, by applying the multi-objective problem, optimal placements of these devices are determined based on bacterial foraging (BF) oriented by particle swarm optimization (PSO) algorithm (BF-PSO). The considered objective function includes the cost reduction of power losses and installation costs of shunt capacitor devices and DG units. Also, the problem solution at different load levels and the utilization of capacitor discrete values are performed for optimization. Finally, the proposed method is compared with genetic algorithm (GA), differential evolution (DE), and PSO methods. They are investigated on the IEEE 69-bus distribution system. The simulation results indicate the advantages of the proposed method for the optimization problem.

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References

  1. Reddy MD, Reddy VC (2008) Optimal capacitor placement using fuzzy and real coded genetic algorithm for maximum savings. J Theor Appl Inf Technol 4(3): 219–226

    Google Scholar 

  2. Huang T, Hsiao Y, Jiang CJ (2008) Optimal placement of capacitors in distribution systems using an immune multi-objective algorithm. Int J Electr Power Energy Syst 30(3): 184–192

    Article  Google Scholar 

  3. Hattacharya SK, Goswami SK (2009) A new fuzzy based solution of the capacitor placement problem in radial distribution system. Expert Syst Appl 36(3): 4207–4212

    Article  Google Scholar 

  4. Rao RS, Narasimham SVL (2009) Optimal capacitor placement in large-scale distribution system using particle swarm optimization with differential evolution. Int J Inf Commun Technol 4(1): 1–7

    Google Scholar 

  5. Kim KH, Rhee SB, Kim SN, You SK (2003) Application of ESGA hybrid approach for voltage profile improvement by capacitor placement. IEEE Trans Power Deliv 18(4): 1516–1522

    Article  Google Scholar 

  6. Das D (2008) Optimal placement of capacitors in radial distribution system using a fuzzy-GA method. Int J Electr Power Energy Syst 30(6): 361–367

    Article  Google Scholar 

  7. Hooshmand R, Ataei M (2007) Optimal capacitor placement in actual configuration and operational conditions of distribution system using RCGA. J Electr Eng 58(4): 189–199

    Google Scholar 

  8. Wang JC, Chiang H, Miu KN, Darling G (1997) Capacitor placement and real time control in large-scale unbalanced distribution systems: loss reduction formula, problem formulation, solution methodology and mathematical justification. IEEE Trans on Power Deliv 12(2): 953–958

    Article  Google Scholar 

  9. Gallego RA, Monticelli AJ, Romero R (2001) Optimal capacitor placement in radial distribution systems. IEEE Trans Power Syst 16: 630–637

    Article  Google Scholar 

  10. Calovi M, Sari A, Djukanovi M (1996) Dynamic programming based multi-stage optimization of shunt capacitors in radial distribution systems. Electr Eng (Archiv fur Elektrotechnik) 79(6): 479–488

    Article  Google Scholar 

  11. Dlfanti M, Granelli GP, Maranninio P (2000) Optimal capacitor placement using deterministic and genetic algorithm. IEEE Trans Power Syst PWRS 15(3): 1041–1046

    Article  Google Scholar 

  12. Kim KH, You SK (1999) Voltage profile improvement by capacitor placement and control in unbalanced distribution systems using GA. IEEE Power Eng Soc Summer Meeting 2: 18–22

    Google Scholar 

  13. Huang YC, Yang HT, Huang CL (1996) Solving the capacitor placement problem in a radial distribution system using Tabu search approach. IEEE Trans Power Syst 11(4): 1868–1873

    Article  MathSciNet  Google Scholar 

  14. Sochuliakova D, Niebur D, Nwankpa CO, Fischl R, Richardson D (1999) Identification of capacitor position in a radial system. IEEE Trans Power Deliv 14(4): 1368–1373

    Article  Google Scholar 

  15. Carmen LT, Djalma M (2003) Impact of distributed generation allocation and sizing on reliability, losses and voltage profile. IEEE Conference on Power Technology, Bologna, Italy, pp 1–5

  16. Zahedi A, Hallenstain J (2007) Effect of non-technical factors on the electricity cost of the photovoltaic (PV) systems. Desalination 209: 108–112

    Article  Google Scholar 

  17. Basuony E, Abdel-Salam TS, Attia AS, Badr MA (2004) Power system efficiency and voltage regulation as affected by dispersed generation, vol 3. Universities Power Engineering Conference, 2004. UPEC 2004. 39th International, pp 1337–1341

  18. Agalgaonkar AP, Muttaqi KM, Perera S (2008) Optimization of distributed generation units and shunt capacitors for economic operation of distribution systems. Universities Power Engineering Conference; AUPEC ‘08. Australasian, pp 1–7

  19. Passino KM (2002) Biomimicry of bacterial foraging for distributed optimization and control. IEEE Control Syst Mag 22(3): 52–67

    Article  MathSciNet  Google Scholar 

  20. Tripathy M, Mishra S (2007) Bacteria foraging-based solution to optimize both real power loss and voltage stability limit. IEEE Trans Power Syst 22(1): 240–248

    Article  Google Scholar 

  21. Korani VM (2008) Bacterial foraging oriented by particle swarm optimization strategy for PID tuning. In: Proceedings of the 2008 GECCO conference companion on genetic and evolutionary computation, USA, pp 1823–1826

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Correspondence to Rahamat Allah Hooshmand.

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Hooshmand, R.A., Mohkami, H. New optimal placement of capacitors and dispersed generators using bacterial foraging oriented by particle swarm optimization algorithm in distribution systems. Electr Eng 93, 43–53 (2011). https://doi.org/10.1007/s00202-010-0191-1

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  • DOI: https://doi.org/10.1007/s00202-010-0191-1

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