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Using insurance to manage reliability in the distributed electricity sector: Insights from an agent-based model

Fuentes, Rolando, Sengupta, Abhijit (2020) Using insurance to manage reliability in the distributed electricity sector: Insights from an agent-based model. Energy Policy, 139 . ISSN 0301-4215. (doi:10.1016/j.enpol.2020.111251) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:80528)

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Language: English

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https://doi.org/10.1016/j.enpol.2020.111251

Abstract

High penetration of distributed technologies would call for a different way to manage electricity reliability for semi-independent households. One option could be to allow customers to withdraw power from the grid when their home system fails. This behavior, however, could constitute an existential threat for utilities: if consumers use the network less, and continue to pay according to their usage, the utility might be unable to recover its costs. This paper investigates whether the creation of a reliability insurance market would help to deal with these concerns. We propose a business model where utilities offer insurance to semi-independent, yet risk averse households, against the prospect of a blackout, when a pay as you go system is no longer available. With the use of an Agent Based Model, we test if contracts from this market can converge into a theoretical optimal contract where bounded perception of risks and losses impact the price of insurance and potential revenues of utilities. We find that such a market could exist as consumers efficiently transfer all or a portion of their risk to the utility, based on their willingness to pay and risk profiles, which allows them to avoid blackouts at the margin.

Item Type: Article
DOI/Identification number: 10.1016/j.enpol.2020.111251
Uncontrolled keywords: Distributed energy resources; New business models; Utilities of the future; Agent based models; Utility death spiral
Subjects: H Social Sciences
Divisions: Faculties > Social Sciences > Kent Business School
Depositing User: Abhijit Sengupta
Date Deposited: 17 Mar 2020 09:38 UTC
Last Modified: 18 Mar 2020 10:06 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/80528 (The current URI for this page, for reference purposes)
Sengupta, Abhijit: https://orcid.org/0000-0002-2450-0208
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