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Decentralized electricity system sizing and placement in distribution networks

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  • Niemi, R.
  • Lund, P.D.

Abstract

A rapid method for sizing and placing of distributed electricity generation (DES) systems in an electric transmission network in respect to voltage has been developed and successfully validated. The new tool presented is in particularly useful for avoiding overvoltage situations, which are critical for the whole electricity system. The results show that DES placement closer to the transformer side is always more beneficial in terms of voltage than at the end of the line. Depending on the size of the DES unit, both up and downstream flow of power may occur. The method can be used for investigating a range of different placement and sizing configurations.

Suggested Citation

  • Niemi, R. & Lund, P.D., 2010. "Decentralized electricity system sizing and placement in distribution networks," Applied Energy, Elsevier, vol. 87(6), pages 1865-1869, June.
    • Handle: RePEc:eee:appene:v:87:y:2010:i:6:p:1865-1869
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    References listed on IDEAS

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    1. Paatero, Jukka V. & Lund, Peter D., 2007. "Effects of large-scale photovoltaic power integration on electricity distribution networks," Renewable Energy, Elsevier, vol. 32(2), pages 216-234.
    2. Lund, H. & Münster, E., 2003. "Management of surplus electricity-production from a fluctuating renewable-energy source," Applied Energy, Elsevier, vol. 76(1-3), pages 65-74, September.
    3. Lund, H. & Siupsinskas, G. & Martinaitis, V., 2005. "Implementation strategy for small CHP-plants in a competitive market: the case of Lithuania," Applied Energy, Elsevier, vol. 82(3), pages 214-227, November.
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    Cited by:

    1. Dashti, Reza & Afsharnia, Saeed & Ghasemi, Hassan, 2010. "A new long term load management model for asset governance of electrical distribution systems," Applied Energy, Elsevier, vol. 87(12), pages 3661-3667, December.
    2. Abdullah, M.A. & Agalgaonkar, A.P. & Muttaqi, K.M., 2014. "Assessment of energy supply and continuity of service in distribution network with renewable distributed generation," Applied Energy, Elsevier, vol. 113(C), pages 1015-1026.
    3. Jasiūnas, Justinas & Lund, Peter D. & Mikkola, Jani & Koskela, Liinu, 2021. "Linking socio-economic aspects to power system disruption models," Energy, Elsevier, vol. 222(C).
    4. Anaya, Karim L. & Pollitt, Michael G., 2015. "Options for allocating and releasing distribution system capacity: Deciding between interruptible connections and firm DG connections," Applied Energy, Elsevier, vol. 144(C), pages 96-105.
    5. Andoni, Merlinda & Robu, Valentin & Früh, Wolf-Gerrit & Flynn, David, 2017. "Game-theoretic modeling of curtailment rules and network investments with distributed generation," Applied Energy, Elsevier, vol. 201(C), pages 174-187.
    6. Yao Liu & Jianmai Shi & Zhong Liu & Jincai Huang & Tianren Zhou, 2019. "Two-Layer Routing for High-Voltage Powerline Inspection by Cooperated Ground Vehicle and Drone," Energies, MDPI, vol. 12(7), pages 1-20, April.
    7. Niemi, R. & Mikkola, J. & Lund, P.D., 2012. "Urban energy systems with smart multi-carrier energy networks and renewable energy generation," Renewable Energy, Elsevier, vol. 48(C), pages 524-536.

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