IDEAS home Printed from
   My bibliography  Save this paper

Flexible Transmission Network Planning Considering the Impacts of Distributed Generation



The restructuring of global power industries has introduced a number of challenges, such as conflicting planning objectives and increasing uncertainties,to transmission network planners. During the recent past, a number of distributed generation technologies also reached a stage allowing large scale implementation, which will profoundly influence the power industry, as well as the practice of transmission network expansion. In the new market environment, new approaches are needed to meet the above challenges. In this paper, a market simulation based method is employed to assess the economical attractiveness of different generation technologies, based on which future scenarios of generation expansion can be formed. A multi-objective optimization model for transmission expansion planning is then presented. A novel approach is proposed to select transmission expansion plans that are flexible given the uncertainties of generation expansion, system load and other market variables. Comprehensive case studies will be conducted to investigate the performance of our approach. In addition, the proposed method will be employed to study the impacts of distributed generation, especially on transmission expansion planning.

Suggested Citation

  • Junhua Zhao & John Foster, 2010. "Flexible Transmission Network Planning Considering the Impacts of Distributed Generation," Energy Economics and Management Group Working Papers 01, School of Economics, University of Queensland, Australia.
  • Handle: RePEc:qld:uqeemg:01

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Carley, Sanya, 2009. "Distributed generation: An empirical analysis of primary motivators," Energy Policy, Elsevier, vol. 37(5), pages 1648-1659, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gucciardi Garcez, Catherine, 2017. "Distributed electricity generation in Brazil: An analysis of policy context, design and impact," Utilities Policy, Elsevier, vol. 49(C), pages 104-115.
    2. Pätäri, Satu & Puumalainen, Kaisu & Jantunen, Ari & Sandstrüm, Jaana, 2011. "The interface of the energy and forest sectors--Potential players in the bioenergy business," International Journal of Production Economics, Elsevier, vol. 131(1), pages 322-332, May.
    3. Siler-Evans, Kyle & Morgan, M. Granger & Azevedo, Inês Lima, 2012. "Distributed cogeneration for commercial buildings: Can we make the economics work?," Energy Policy, Elsevier, vol. 42(C), pages 580-590.
    4. Trachtman, Samuel, 2020. "What drives climate policy adoption in the U.S. states?," Energy Policy, Elsevier, vol. 138(C).
    5. Streimikiene, Dalia & Baležentis, Tomas, 2013. "Multi-criteria assessment of small scale CHP technologies in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 183-189.
    6. López-González, A. & Domenech, B. & Ferrer-Martí, L., 2018. "Lifetime, cost and fuel efficiency in diesel projects for rural electrification in Venezuela," Energy Policy, Elsevier, vol. 121(C), pages 152-161.
    7. John Foster & Liam Wagner & Phil Wild & Junhua Zhao & Lucas Skoofa & Craig Froome & Ariel Liebman, 2011. "Market and Economic Modelling of the Intelligent Grid: End of Year Report 2010," Energy Economics and Management Group Working Papers 10, School of Economics, University of Queensland, Australia.
    8. Sanya Carley & Richard Andrews, 2012. "Creating a sustainable U.S. electricity sector: the question of scale," Policy Sciences, Springer;Society of Policy Sciences, vol. 45(2), pages 97-121, June.
    9. Wouters, Carmen & Fraga, Eric S. & James, Adrian M., 2015. "An energy integrated, multi-microgrid, MILP (mixed-integer linear programming) approach for residential distributed energy system planning – A South Australian case-study," Energy, Elsevier, vol. 85(C), pages 30-44.
    10. Anaya, Karim L. & Pollitt, Michael G., 2015. "Integrating distributed generation: Regulation and trends in three leading countries," Energy Policy, Elsevier, vol. 85(C), pages 475-486.
    11. Ren, Hongbo & Gao, Weijun, 2010. "A MILP model for integrated plan and evaluation of distributed energy systems," Applied Energy, Elsevier, vol. 87(3), pages 1001-1014, March.
    12. Ibrahim Alotaibi & Mohammed A. Abido & Muhammad Khalid & Andrey V. Savkin, 2020. "A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources," Energies, MDPI, Open Access Journal, vol. 13(23), pages 1-41, November.
    13. Zeng, Zheng & Yang, Huan & Zhao, Rongxiang & Cheng, Chong, 2013. "Topologies and control strategies of multi-functional grid-connected inverters for power quality enhancement: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 223-270.
    14. John Foster & Liam Wagner & Phil Wild & William Paul Bell & Junhua Zhao & Craig Froome, 2011. "Market and Economic Modelling of the Intelligent Grid: Interim Report 2011," Energy Economics and Management Group Working Papers 11, School of Economics, University of Queensland, Australia.
    15. Poppen, Silvia, 2014. "Auswirkungen dezentraler Erzeugungsanlagen auf das Stromversorgungssystem: Ausgestaltungsmöglichkeiten der Bereitstellung neuer Erzeugungsanlagen," Arbeitspapiere 146, University of Münster, Institute for Cooperatives.
    16. Brown, Jason P. & Coupal, Roger & Hitaj, Claudia & Kelsey, Timothy W. & Krannich, Richard S. & Xiarchos, Irene M., 2017. "New Dynamics in Fossil Fuel and Renewable Energy for Rural America," USDA Miscellaneous 260676, United States Department of Agriculture.
    17. Mehigan, L. & Deane, J.P. & Gallachóir, B.P.Ó. & Bertsch, V., 2018. "A review of the role of distributed generation (DG) in future electricity systems," Energy, Elsevier, vol. 163(C), pages 822-836.
    18. Rai, Varun & Reeves, D. Cale & Margolis, Robert, 2016. "Overcoming barriers and uncertainties in the adoption of residential solar PV," Renewable Energy, Elsevier, vol. 89(C), pages 498-505.
    19. Krasko, Vitaliy A. & Doris, Elizabeth, 2013. "State distributed PV policies: Can low cost (to government) policies have a market impact?," Energy Policy, Elsevier, vol. 59(C), pages 172-181.
    20. Viardot, Eric, 2013. "The role of cooperatives in overcoming the barriers to adoption of renewable energy," Energy Policy, Elsevier, vol. 63(C), pages 756-764.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:qld:uqeemg:01. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (SOE IT). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.