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Optimum shunt capacitor placement in distribution system—A review and comparative study

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  • Aman, M.M.
  • Jasmon, G.B.
  • Bakar, A.H.A.
  • Mokhlis, H.
  • Karimi, M.

Abstract

Shunt capacitors are commonly used in distribution system for reactive power compensation. Different analytical, numerical programming, heuristic and artificial intelligent based techniques have been proposed in the literature for optimum shunt capacitor bank (SCB) placement. This paper will present a very detailed overview of optimum SCB placement techniques. Six different approaches of optimum SCB placement based on minimization of power losses, weakest voltage bus approach and maximization of system loadability will be applied on four different radial distribution test systems. The results will be compared on the basis of power loss reduction, voltage profile improvement, system loadability maximization and the line limit constraint.

Suggested Citation

  • 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, Elsevier, vol. 30(C), pages 429-439.
    • Handle: RePEc:eee:rensus:v:30:y:2014:i:c:p:429-439
    DOI: 10.1016/j.rser.2013.10.002
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    References listed on IDEAS

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    Cited by:

    1. Bayat, A. & Bagheri, A., 2019. "Optimal active and reactive power allocation in distribution networks using a novel heuristic approach," Applied Energy, Elsevier, vol. 233, pages 71-85.
    2. Jordehi, A. Rezaee, 2015. "Optimisation of electric distribution systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1088-1100.
    3. Das, Sangeeta & Das, Debapriya & Patra, Amit, 2019. "Operation of distribution network with optimal placement and sizing of dispatchable DGs and shunt capacitors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    4. Singh, Bindeshwar & Mukherjee, V. & Tiwari, Prabhakar, 2015. "A survey on impact assessment of DG and FACTS controllers in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 846-882.
    5. Di Silvestre, M.L. & La Cascia, D. & Riva Sanseverino, E. & Zizzo, G., 2016. "Improving the energy efficiency of an islanded distribution network using classical and innovative computation methods," Utilities Policy, Elsevier, vol. 40(C), pages 58-66.

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