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How detailed value of lost load data impact power system reliability decisions

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  • Ovaere, Marten
  • Heylen, Evelyn
  • Proost, Stef
  • Deconinck, Geert
  • Van Hertem, Dirk

Abstract

The value of lost load (VOLL) is an essential parameter for power system reliability. It represents the cost of unserved energy during power interruptions. Various studies have estimated this parameter for different countries and more recently, for different interruption characteristics – such as interruption duration, time of interruption and interrupted consumer. However, it is common practice in system operation and the literature to use only one uniform VOLL. Our theoretical analysis shows that using more-detailed VOLL data leads to more cost-effective transmission reliability decisions. Using actual consumer- and time-differentiated VOLL data from Norway, Great Britain and the United States, numerical simulations of short-term power system reliability management indicate a potential operational cost decrease of up to 43% in a five-node network, and between 2% and 18% in a more realistic 118-node network – mainly because of lower preventive redispatch costs in response to lower expected interruption costs. However, changed reliability practices could lead to opposition, if some consumers are disproportionately interrupted and not adequately compensated. Although the first policy measures to collect more detailed and harmonized VOLL data have been taken, future policy should improve transmission-distribution coordination and enable the participation of all consumers in curtailment programs, through smart meters and smart appliances.

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  • Ovaere, Marten & Heylen, Evelyn & Proost, Stef & Deconinck, Geert & Van Hertem, Dirk, 2019. "How detailed value of lost load data impact power system reliability decisions," Energy Policy, Elsevier, vol. 132(C), pages 1064-1075.
  • Handle: RePEc:eee:enepol:v:132:y:2019:i:c:p:1064-1075
    DOI: 10.1016/j.enpol.2019.06.058
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    3. 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).
    4. Ward Romeijnders & Machiel Mulder, 2022. "Optimal WACC in tariff regulation under uncertainty," Journal of Regulatory Economics, Springer, vol. 61(2), pages 89-107, April.
    5. Astier, Nicolas & Ovaere, Marten, 2022. "Reliability standards and generation adequacy assessments for interconnected electricity systems," Energy Policy, Elsevier, vol. 168(C).
    6. Goran Slipac & Mladen Zeljko & Damir Šljivac, 2019. "Importance of Reliability Criterion in Power System Expansion Planning," Energies, MDPI, vol. 12(9), pages 1-18, May.
    7. Ovaere, Marten, 2023. "Cost-efficiency and quality regulation of energy network utilities," Energy Economics, Elsevier, vol. 120(C).
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    10. Dongwei Zhao & Hao Wang & Jianwei Huang & Xiaojun Lin, 2022. "Insurance Contract for High Renewable Energy Integration," Papers 2209.10363, arXiv.org.

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    More about this item

    Keywords

    Value of lost load; Electric power system reliability; Power system management; Interruption costs; Power interruption characteristics;
    All these keywords.

    JEL classification:

    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • H40 - Public Economics - - Publicly Provided Goods - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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