Determining the optimal trading price of electricity for energy consumers and prosumers

Jongbaek An, Taehoon Hong and Minhyun Lee

Renewable and Sustainable Energy Reviews, 2022, vol. 154, issue C

Abstract: This study proposed an optimal trading price of electricity by considering electricity billing system and corresponding government policies in South Korea. To this end, this study calculated the maximum and minimum trading prices of electricity by defining the profit structure from the viewpoint of the energy consumer and prosumer, based on which the optimal trading price of electricity was derived from a genetic algorithm (GA) and Pareto optimal solution.

Keywords: Distributed solar generation; Peer to peer electricity trading; Energy prosumer; Optimal trading price of electricity; Levelized cost of electricity; Electricity trading market (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032121011187
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:154:y:2022:i:c:s1364032121011187

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic

DOI: 10.1016/j.rser.2021.111851

Access Statistics for this article

Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski

More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().