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Multistage distribution substations planning considering reliability and growth of energy demand

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  • Esmaeeli, M.
  • Kazemi, A.
  • Shayanfar, H.A.
  • Haghifam, M.-R.

Abstract

The reliability of energy distribution is not usually considered in the planning of LV (low voltage) networks. However, the reliability cost has increased because of the appearance of the penalty schemes for the customer energy outage. In this paper, an approach is proposed for the planning of the LV distribution networks in which the distribution transformers are optimally organized. The size, number, and placement of the distribution transformers are optimally determined in order to improve the system reliability and to minimize the power and energy losses under the energy demand growth. An objective function is constituted, composed of the investment cost, maintenance cost, losses cost, and reliability cost. The proposed approach is applied to a test system consisting of 42 electric load points. It is observed that the appropriate placement of the distribution substation can reduce the interruption cost considerably, while the investment cost increased slightly. The total cost of the planning also decreased.

Suggested Citation

  • Esmaeeli, M. & Kazemi, A. & Shayanfar, H.A. & Haghifam, M.-R., 2015. "Multistage distribution substations planning considering reliability and growth of energy demand," Energy, Elsevier, vol. 84(C), pages 357-364.
    • Handle: RePEc:eee:energy:v:84:y:2015:i:c:p:357-364
    DOI: 10.1016/j.energy.2015.03.002
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    References listed on IDEAS

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    Cited by:

    1. Sedghi, Mahdi & Ahmadian, Ali & Aliakbar-Golkar, Masoud, 2016. "Assessment of optimization algorithms capability in distribution network planning: Review, comparison and modification techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 415-434.
    2. Esmaeeli, Mostafa & Kazemi, Ahad & Shayanfar, Heidarali & Chicco, Gianfranco & Siano, Pierluigi, 2017. "Risk-based planning of the distribution network structure considering uncertainties in demand and cost of energy," Energy, Elsevier, vol. 119(C), pages 578-587.
    3. Ehsan Gord & Rahman Dashti & Mojtaba Najafi & Hamid Reza Shaker, 2019. "Real Fault Section Estimation in Electrical Distribution Networks Based on the Fault Frequency Component Analysis," Energies, MDPI, vol. 12(6), pages 1-29, March.
    4. Arasteh, Hamidreza & Sepasian, Mohammad Sadegh & Vahidinasab, Vahid, 2016. "An aggregated model for coordinated planning and reconfiguration of electric distribution networks," Energy, Elsevier, vol. 94(C), pages 786-798.
    5. Kavousi-Fard, Abdollah & Abbasi, Alireza & Rostami, Mohammad-Amin & Khosravi, Abbas, 2015. "Optimal distribution feeder reconfiguration for increasing the penetration of plug-in electric vehicles and minimizing network costs," Energy, Elsevier, vol. 93(P2), pages 1693-1703.
    6. Luis Hernández-Callejo, 2019. "A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids," Energies, MDPI, vol. 12(9), pages 1-50, April.

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