Tiered billing scheme for residential load scheduling with bidirectional energy trading

Byung Gook Kim, Shaolei Ren, Mihaela Van Der Schaar, Jang Won Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Future generation smart grids will allow customers to trade energy bidirectionally. Specifically, each customer will be able to not only buy energy from the aggregator during its peak hours but also sell its surplus energy during its off-peak hours. In these emerging energy trading markets, a key component will be the deployment of effective energy billing schemes which consider the customers residential load scheduling. In this paper, we consider a residential load scheduling problem with bidirectional energy trading. Compared with the previous work, in which customers are assumed to be obedient and agree to maximize the social welfare of the smart grid system, in this paper, we consider a non-collaborative approach, where consumers are self-interested. We model the energy scheduling problem as a non-cooperative game, where each customer determines its load scheduling and energy trading to maximize its own profit. In order to resolve the unfairness between heavy and light customers, we propose a novel tiered billing scheme that can control the electricity rates for customers according to their different energy consumption levels. We also propose a distributed energy scheduling algorithm that converges to the unique Nash equilibrium of the studied non-cooperative game. Through the numerical results, we study the impact of the proposed tiered billing scheme on the selfish customers' behavior and on their incentives to participate in the energy trading market.

Original languageEnglish
Title of host publication2013 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2013
PublisherIEEE Computer Society
Pages363-368
Number of pages6
ISBN (Print)9781479900565
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2013 - Turin, Italy
Duration: 2013 Apr 142013 Apr 19

Other

Other2013 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2013
CountryItaly
CityTurin
Period13/4/1413/4/19

Fingerprint

Scheduling
Scheduling algorithms
Profitability
Energy utilization
Electricity

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Kim, B. G., Ren, S., Van Der Schaar, M., & Lee, J. W. (2013). Tiered billing scheme for residential load scheduling with bidirectional energy trading. In 2013 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2013 (pp. 363-368). [6562889] IEEE Computer Society. https://doi.org/10.1109/INFCOMW.2013.6562889
Kim, Byung Gook ; Ren, Shaolei ; Van Der Schaar, Mihaela ; Lee, Jang Won. / Tiered billing scheme for residential load scheduling with bidirectional energy trading. 2013 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2013. IEEE Computer Society, 2013. pp. 363-368
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Kim, BG, Ren, S, Van Der Schaar, M & Lee, JW 2013, Tiered billing scheme for residential load scheduling with bidirectional energy trading. in 2013 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2013., 6562889, IEEE Computer Society, pp. 363-368, 2013 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2013, Turin, Italy, 13/4/14. https://doi.org/10.1109/INFCOMW.2013.6562889

Tiered billing scheme for residential load scheduling with bidirectional energy trading. / Kim, Byung Gook; Ren, Shaolei; Van Der Schaar, Mihaela; Lee, Jang Won.

2013 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2013. IEEE Computer Society, 2013. p. 363-368 6562889.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kim BG, Ren S, Van Der Schaar M, Lee JW. Tiered billing scheme for residential load scheduling with bidirectional energy trading. In 2013 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2013. IEEE Computer Society. 2013. p. 363-368. 6562889 https://doi.org/10.1109/INFCOMW.2013.6562889