Distributed coordinative transaction of a community integrated energy system based on a tri-level game model
Haiyang Wang,
Chenghui Zhang,
Ke Li,
Shuai Liu,
Shuzhen Li and
Yu Wang
Applied Energy, 2021, vol. 295, issue C, No S0306261921004463
Abstract:
As the energy market shifts from vertically integrated structures to interactive competitive structures, the transaction mechanism for resident users faces significant challenges because of its large numbers and small size. This paper proposes a distributed coordinative transaction mechanism of a community integrated energy system utilizing a tri-level game model. The vertical trading aspect is formulated as a dual-Stackelberg game, wherein the load aggregators serve as an intermediary between the energy hubs and resident users. Horizontal bidding among the energy hubs is modeled as a non-cooperative game, wherein each stakeholder pursues the optimal benefit. The equilibrium of this tri-level game is proven to exist and is solved by means of a distributed algorithm. The tri-level model is initially transformed into a bi-level problem through the Karush–Kuhn–Tucker condition and convexification, and is then solved using the distributed iterative algorithm. Finally, the effectiveness of the proposed tri-level game model and distributed solution algorithm was verified by case study, which confirmed that all stakeholders could benefit from the proposed transaction mechanism.
Keywords: Game theory; Community integrated energy system; Market transaction; Energy hub; Load aggregator; Demand response (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261921004463
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:appene:v:295:y:2021:i:c:s0306261921004463
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2021.116972
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().