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Interruption Insurance for Generation and Distribution of Electric Power

Author

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  • Oren, Shmuel S
  • Doucet, Joseph A

Abstract

The authors describe a simple insurance scheme for use in an environment in which consumers of electricity are differentiated by their value of uninterrupted service as well as their location. Location plays a determining role in the model, in that reliability of distribution is allowed to vary throughout the network. Consumers choose a level of compensation for service interruption and pay a premium that depends on this compensation, as well as the distribution reliability at their location. In the event of power shortages, the utility will interrupt consumers according to their selected compensation so as to minimize compensation payments. The premium schedule is designed to induce consumer self-selection which results in efficient rationing, i.e., consumers are interrupted in increasing order of their interruption losses. The tariff has the added feature of inducing consumers to purchase full insurance and thus transfers all of the risk to the utility. It is shown that with proper "tuning" the proposed insurance scheme is Pareto superior to a uniform service charge with random rationing. Copyright 1990 by Kluwer Academic Publishers

Suggested Citation

  • Oren, Shmuel S & Doucet, Joseph A, 1990. "Interruption Insurance for Generation and Distribution of Electric Power," Journal of Regulatory Economics, Springer, vol. 2(1), pages 5-19, March.
    • Handle: RePEc:kap:regeco:v:2:y:1990:i:1:p:5-19
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    Cited by:

    1. Bernard, Jean-Thomas & Roland, Michel, 2000. "Load management programs, cross-subsidies and transaction costs: the case of self-rationing," Resource and Energy Economics, Elsevier, vol. 22(2), pages 161-188, May.
    2. Farhad Billimoria & Filiberto Fele & Iacopo Savelli & Thomas Morstyn & Malcolm McCulloch, 2021. "On the Design of an Insurance Mechanism for Reliability Differentiation in Electricity Markets," Papers 2106.14351, arXiv.org.
    3. Heggie, Alastair & Eager, Dan & McKinnon, Ken & Van Der Weijde, Adriaan H., 2018. "Power rationing in a long-term power shortage," Energy Policy, Elsevier, vol. 121(C), pages 202-210.
    4. Mier, Mathias, 2021. "Efficient pricing of electricity revisited," Energy Economics, Elsevier, vol. 104(C).
    5. Billimoria, Farhad & Fele, Filiberto & Savelli, Iacopo & Morstyn, Thomas & McCulloch, Malcolm, 2022. "An insurance mechanism for electricity reliability differentiation under deep decarbonization," Applied Energy, Elsevier, vol. 321(C).
    6. Farhad Billimoria & Filiberto Fele & Iacopo Savelli & Thomas Morstyn & Malcolm McCulloch, 2023. "An Insurance Paradigm for Improving Power System Resilience via Distributed Investment," Papers 2302.01456, arXiv.org.
    7. Ananth V. Iyer & Vinayak Deshpande & Zhengping Wu, 2003. "A Postponement Model for Demand Management," Management Science, INFORMS, vol. 49(8), pages 983-1002, August.

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