Death spiral of the legacy grid: A game-theoretic analysis of modern grid defection processes.

Electrical engineering Energy engineering Energy management Energy modeling

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
21 Apr 2023
Historique:
received: 25 10 2022
revised: 18 12 2022
accepted: 10 03 2023
medline: 11 4 2023
entrez: 10 4 2023
pubmed: 11 4 2023
Statut: epublish

Résumé

Decreasing costs of distributed generation and storage, alongside increasing network charges, provide consumers with a growing incentive to defect from the main grid. On a large scale, this may lead to price inflation, hindrance of the energy transition, and even a "death spiral" - a domino effect of disconnections. Here, we develop a game-theoretic framework that demonstrates how conflicting interests among consumers - an aspect that previous studies overlooked - may lead to complex dynamics of grid defection. Our results reveal that although individual consumers benefit from staying connected at the distribution level, the defection of small energy communities from the grid may lead to the defection of larger communities. We also demonstrate that centralized design approaches may lead to inefficient outcomes, e.g., redundant grid expansions, because of the inherent inability to predict potential defections. However, we indicate how, by properly incorporating defection considerations into the grid's design, social welfare can be improved.

Identifiants

pubmed: 37034989
doi: 10.1016/j.isci.2023.106415
pii: S2589-0042(23)00492-3
pmc: PMC10074203
doi:

Types de publication

Journal Article

Langues

eng

Pagination

106415

Informations de copyright

© 2023 The Author(s).

Déclaration de conflit d'intérêts

The authors declare no competing interests.

Auteurs

Aviad Navon (A)

The Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.

Juri Belikov (J)

The Department of Software Science, Tallinn University of Technology, Tallinn 19086, Estonia.

Ron Ofir (R)

The Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.

Yael Parag (Y)

School of Sustainability, Reichman University, Herzliya 4610101, Israel.

Ariel Orda (A)

The Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.

Yoash Levron (Y)

The Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.

Classifications MeSH