Sustainable and inclusive demand-side resilience: a semi-dynamic model for outage costs

Safamanesh, A, Ghazizadeh, MS, Habibi, M and Vahidinasab, V ORCID: https://orcid.org/0000-0002-0779-8727, 2023. Sustainable and inclusive demand-side resilience: a semi-dynamic model for outage costs. In: Sandikkaya, MT and Usta, Ö, eds., 2023 IEEE PES GTD international conference and exposition: GTD 2023. Proceedings. IEEE. ISBN 9781728170268

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Abstract

The power system is primarily designed and concerned with supplying electricity to its customers at all times. Nevertheless, power outages are inevitable; therefore, one of the challenges is to accurately determine the costs and damages to consumers in a fair and inclusive manner. Outage events are regularly costed based on a parameter called the Value of Lost Load (VoLL/VOLL). Although some of the influencing factors on outage costs have been identified in the literature, the exact determination of the damage to customers is still considered a big challenge. This work is an effort toward a more sustainable and inclusive demand-side resilience that provides a semi-dynamic model for the assignment of the power outage damage costs to the customers. The results of the proposed method show how using a semi-dynamic model for outage costs leads to more sustainable and inclusive operating decisions in the power system while also leads to a fairer allocation of costs.

Item Type:	Chapter in book
Creators:	Safamanesh, A., Ghazizadeh, M.S., Habibi, M. and Vahidinasab, V.
Publisher:	IEEE
Date:	29 September 2023
ISBN:	9781728170268
Identifiers:	Number Type 10.1109/gtd49768.2023.00058 DOI 1811426 Other
Rights:	© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Ward
Date Added:	04 Oct 2023 14:30
Last Modified:	04 Oct 2023 14:30
URI:	https://irep.ntu.ac.uk/id/eprint/49851

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