Achieving Social Optimality for Energy Communities via Dynamic NEM Pricing

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

We propose a social welfare maximizing mechanism for an energy community that aggregates individual and shared community resources under a general net energy metering (NEM) policy. Referred to as Dynamic NEM, the proposed mechanism adopts the standard NEM tariff model and sets NEM prices dynamically based on the total shared renewables within the community. We show that Dynamic NEM aligns the individual member's incentive with that of the overall community; each member optimizing individual surplus under Dynamic NEM results in maximum community's social welfare. We further show that Dynamic NEM guarantees a higher benefit to each community member than possible outside the community. Dynamic NEM is also shown to satisfy the cost-causation principle. Empirical studies using real data on a hypothetical energy community demonstrate the benefits to community members and grid operators.

Original languageEnglish
Title of host publication2023 IEEE Power and Energy Society General Meeting, PESGM 2023
PublisherIEEE Computer Society
ISBN (Electronic)9781665464413
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 IEEE Power and Energy Society General Meeting, PESGM 2023 - Orlando, United States
Duration: 16 Jul 202320 Jul 2023

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2023-July
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Country/TerritoryUnited States
CityOrlando
Period16/07/2320/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • distributed energy resources aggregation
  • energy community
  • net metering
  • pricing mechanism

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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