IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i7p1831-d157668.html
   My bibliography  Save this article

Shadow Pricing of Electric Power Interruptions for Distribution System Operators in Finland

Author

Listed:
  • Sinan Küfeoğlu

    (Energy Policy Research Group, Judge Business School, University of Cambridge, Cambridge CB2 1AG, UK)

  • Niyazi Gündüz

    (Department of Electrical Engineering and Automation, Aalto University, Espoo 02150, Finland)

  • Hao Chen

    (Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China)

  • Matti Lehtonen

    (Department of Electrical Engineering and Automation, Aalto University, Espoo 02150, Finland)

Abstract

Increasing distributed generation and intermittencies, along with the increasing frequency of extreme weather events, impose a serious challenge for electric power supply security. Understanding the costs of interruption is vital in terms of enhancing the power system infrastructure and planning the distribution grid. Furthermore, customer rights and demand response techniques are further reasons to study the worth of power reliability. In this paper, the authors make use of directional distance function and shadow pricing methods in a case study of Finland. The aim is to calculate the cost of one minute of power interruption from the perspective of the distribution network operator. The sample consists of 78 distribution network operators from Finland, and uses cost and network information between 2013 and 2015.

Suggested Citation

  • Sinan Küfeoğlu & Niyazi Gündüz & Hao Chen & Matti Lehtonen, 2018. "Shadow Pricing of Electric Power Interruptions for Distribution System Operators in Finland," Energies, MDPI, vol. 11(7), pages 1-14, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1831-:d:157668
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/7/1831/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/7/1831/
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Rahmatallah Poudineh and Tooraj Jamasb, 2017. "Electricity Supply Interruptions: Sectoral Interdependencies and the Cost of Energy Not Served for the Scottish Economy," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    2. Luenberger, David G., 1992. "Benefit functions and duality," Journal of Mathematical Economics, Elsevier, vol. 21(5), pages 461-481.
    3. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    4. Abrate, Graziano & Bruno, Clementina & Erbetta, Fabrizio & Fraquelli, Giovanni & Lorite-Espejo, Azahara, 2016. "A choice experiment on the willingness of households to accept power outages," Utilities Policy, Elsevier, vol. 43(PB), pages 151-164.
    5. Coelli, Tim J. & Gautier, Axel & Perelman, Sergio & Saplacan-Pop, Roxana, 2013. "Estimating the cost of improving quality in electricity distribution: A parametric distance function approach," Energy Policy, Elsevier, vol. 53(C), pages 287-297.
    6. Christian Growitsch & Raimund Malischek & Sebastian Nick & Heike Wetzel, 2015. "The Costs of Power Interruptions in Germany: A Regional and Sectoral Analysis," German Economic Review, Verein für Socialpolitik, vol. 16(3), pages 307-323, August.
    7. Fare, Rolf & Grosskopf, Shawna & Weber, William L., 2006. "Shadow prices and pollution costs in U.S. agriculture," Ecological Economics, Elsevier, vol. 56(1), pages 89-103, January.
    8. Kim, Kayoung & Cho, Youngsang, 2017. "Estimation of power outage costs in the industrial sector of South Korea," Energy Policy, Elsevier, vol. 101(C), pages 236-245.
    9. R. G. Chambers & Y. Chung & R. Färe, 1998. "Profit, Directional Distance Functions, and Nerlovian Efficiency," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 351-364, August.
    10. Minnaar, U.J. & Visser, W. & Crafford, J., 2017. "An economic model for the cost of electricity service interruption in South Africa," Utilities Policy, Elsevier, vol. 48(C), pages 41-50.
    11. Lee, Chia-Yen & Zhou, Peng, 2015. "Directional shadow price estimation of CO2, SO2 and NOx in the United States coal power industry 1990–2010," Energy Economics, Elsevier, vol. 51(C), pages 493-502.
    12. Christian Growitsch & Raimund Malischek & Sebastian Nick & Heike Wetzel, 2015. "The Costs of Power Interruptions in Germany: A Regional and Sectoral Analysis," German Economic Review, Verein für Socialpolitik, vol. 16(3), pages 307-323, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Hao & Chen, Xi & Niu, Jinye & Xiang, Mengyu & He, Weijun & Küfeoğlu, Sinan, 2021. "Estimating the marginal cost of reducing power outage durations in China: A parametric distance function approach," Energy Policy, Elsevier, vol. 155(C).
    2. Yuan, Peng & Pu, Yuran & Liu, Chang, 2021. "Improving electricity supply reliability in China: Cost and incentive regulation," Energy, Elsevier, vol. 237(C).
    3. Heinrich, Carsten & Ziras, Charalampos & Jensen, Tue V. & Bindner, Henrik W. & Kazempour, Jalal, 2021. "A local flexibility market mechanism with capacity limitation services," Energy Policy, Elsevier, vol. 156(C).
    4. Talat S. Genc & Stephen Kosempel, 2023. "Energy Transition and the Economy: A Review Article," Energies, MDPI, vol. 16(7), pages 1-26, March.

    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. Gunduz, N & Kufeoglu, S. & Winzer, C. & Lehtonen, M., 2018. "Regional Differences in Economic Impacts of Power Outages in Finland," Cambridge Working Papers in Economics 1841, Faculty of Economics, University of Cambridge.
    2. Jin, Taeyoung & Lee, Tae Eui & Kim, Dowon, 2023. "Value of lost load estimation for the South Korea's manufacturing sector—finding the gap between the supply and demand side," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    3. Deng, Zhongqi & Jiang, Nan & Pang, Ruizhi, 2021. "Factor-analysis-based directional distance function: The case of New Zealand hospitals," Omega, Elsevier, vol. 98(C).
    4. Fangqing Wei & Junfei Chu & Jiayun Song & Feng Yang, 2019. "A cross-bargaining game approach for direction selection in the directional distance function," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(3), pages 787-807, September.
    5. Wei, Xiao & Zhang, Ning, 2020. "The shadow prices of CO2 and SO2 for Chinese Coal-fired Power Plants: A partial frontier approach," Energy Economics, Elsevier, vol. 85(C).
    6. Lee, Chia-Yen, 2016. "Nash-profit efficiency: A measure of changes in market structures," European Journal of Operational Research, Elsevier, vol. 255(2), pages 659-663.
    7. Chen, Hao & Chen, Xi & Niu, Jinye & Xiang, Mengyu & He, Weijun & Küfeoğlu, Sinan, 2021. "Estimating the marginal cost of reducing power outage durations in China: A parametric distance function approach," Energy Policy, Elsevier, vol. 155(C).
    8. Zhang, Ning & Huang, Xuhui & Liu, Yunxiao, 2021. "The cost of low-carbon transition for China's coal-fired power plants: A quantile frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    9. Zhang, Ning & Huang, Xuhui & Qi, Chao, 2022. "The effect of environmental regulation on the marginal abatement cost of industrial firms: Evidence from the 11th Five-Year Plan in China," Energy Economics, Elsevier, vol. 112(C).
    10. Fukuyama, Hirofumi & Matousek, Roman, 2018. "Nerlovian revenue inefficiency in a bank production context: Evidence from Shinkin banks," European Journal of Operational Research, Elsevier, vol. 271(1), pages 317-330.
    11. Annageldy Arazmuradov, 2016. "Economic prospect on carbon emissions in Commonwealth of Independent States," Economic Change and Restructuring, Springer, vol. 49(4), pages 395-427, November.
    12. Flavius Badau & Nicholas Rada, 2022. "Disequilibrium effects from misallocated markets: An application to agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 53(4), pages 592-604, July.
    13. Kristiaan Kerstens & Ignace Van de Woestyne, 2018. "Enumeration algorithms for FDH directional distance functions under different returns to scale assumptions," Annals of Operations Research, Springer, vol. 271(2), pages 1067-1078, December.
    14. Bogetoft, Peter & Leth Hougaard, Jens, 2004. "Super efficiency evaluations based on potential slack," European Journal of Operational Research, Elsevier, vol. 152(1), pages 14-21, January.
    15. Ravelojaona, Paola, 2019. "On constant elasticity of substitution – Constant elasticity of transformation Directional Distance Functions," European Journal of Operational Research, Elsevier, vol. 272(2), pages 780-791.
    16. Badau, Flavius & Färe, Rolf & Gopinath, Munisamy, 2016. "Global resilience to climate change: Examining global economic and environmental performance resulting from a global carbon dioxide market," Resource and Energy Economics, Elsevier, vol. 45(C), pages 46-64.
    17. Yuan, Peng & Pu, Yuran & Liu, Chang, 2021. "Improving electricity supply reliability in China: Cost and incentive regulation," Energy, Elsevier, vol. 237(C).
    18. Tovar, Beatriz & Wall, Alan, 2015. "Can ports increase traffic while reducing inputs? Technical efficiency of Spanish Port Authorities using a directional distance function approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 128-140.
    19. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis," Energy Economics, Elsevier, vol. 48(C), pages 217-229.
    20. Managi, Shunsuke & Jena, Pradyot Ranjan, 2008. "Environmental productivity and Kuznets curve in India," Ecological Economics, Elsevier, vol. 65(2), pages 432-440, April.

    More about this item

    Keywords

    power interruption; distribution system operator; interruption cost; shadow price;
    All these keywords.

    JEL classification:

    • L42 - Industrial Organization - - Antitrust Issues and Policies - - - Vertical Restraints; Resale Price Maintenance; Quantity Discounts

    Statistics

    Access and download statistics

    Corrections

    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:gam:jeners:v:11:y:2018:i:7:p:1831-:d:157668. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.