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Area- and time-specific marginal capacity costs of electricity distribution

Author

Listed:
  • Woo, C.K.
  • Orans, Ren
  • Horii, Brian
  • Pupp, Roger
  • Heffner, Grayson

Abstract

Marginal costs of electricity vary by time and location. In the past, researchers attributed the variations to factors related to electricity generation and transmission. These authors, however, have not analyzed possible variations in marginal distribution capacity costs (MDCC). The objectives of this paper are: 1.(i) to show that large MDCC variations are due to the dispersion in distribution capital expenditures by time and space,2.(ii) to propose a method for quantifying the area- and time-specific MDCC in the presence of lumpy investments, and3.(iii) to compare our MDCC estimates to those commonly used in the electric utility industry. Our proposed method and its results were adopted by the California Public Utilities Commission (CPUC) in 1992 for Pacific Gas and Electric Company (PG&E), the largest privately owned electric utility in the U.S.

Suggested Citation

  • Woo, C.K. & Orans, Ren & Horii, Brian & Pupp, Roger & Heffner, Grayson, 1994. "Area- and time-specific marginal capacity costs of electricity distribution," Energy, Elsevier, vol. 19(12), pages 1213-1218.
    • Handle: RePEc:eee:energy:v:19:y:1994:i:12:p:1213-1218
    DOI: 10.1016/0360-5442(94)90023-X
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    Citations

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    Cited by:

    1. Malik, Arif S. & Sumaoy, Cecilio U., 2003. "A case study of local integrated resource planning," Energy, Elsevier, vol. 28(7), pages 711-720.
    2. Baskette, C. & Horii, B. & Kollman, E. & Price, S., 2006. "Avoided cost estimation and post-reform funding allocation for California's energy efficiency programs," Energy, Elsevier, vol. 31(6), pages 1084-1099.
    3. Pupp, Roger & Woo, Chi-Keung & Orans, Ren & Horii, Brian & Heffner, Grayson, 1995. "Load research and integrated local T&D planning," Energy, Elsevier, vol. 20(2), pages 89-94.
    4. Swisher, Joel & Orans, Ren, 1995. "The use of area-specific utility costs to target intensive DSM campaigns," Utilities Policy, Elsevier, vol. 5(3-4), pages 185-197.
    5. Keen, Jeremy F. & Apt, Jay, 2019. "How much capacity deferral value can targeted solar deployment create in Pennsylvania?," Energy Policy, Elsevier, vol. 134(C).
    6. Woo, C.K. & Sreedharan, P. & Hargreaves, J. & Kahrl, F. & Wang, J. & Horowitz, I., 2014. "A review of electricity product differentiation," Applied Energy, Elsevier, vol. 114(C), pages 262-272.
    7. Rauschkolb, Noah & Limandibhratha, Nathalie & Modi, Vijay & Mercadal, Ignacia, 2021. "Estimating electricity distribution costs using historical data," Utilities Policy, Elsevier, vol. 73(C).
    8. Dashti, Reza & Afsharnia, Saeed & Ghaderi, Farid, 2010. "AGA (Asset Governance Assessment) for analyzing affect of subsidy on MC (Marginal Cost) in electricity distribution sector," Energy, Elsevier, vol. 35(12), pages 4996-5007.
    9. Sreedharan, P. & Miller, D. & Price, S. & Woo, C.K., 2012. "Avoided cost estimation and cost-effectiveness of permanent load shifting in California," Applied Energy, Elsevier, vol. 96(C), pages 115-121.

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