A bi-level peer-to-peer interactive trading optimization model and distributed solution algorithm for rural distributed energy system group based on Stackelberg-Nash game strategy

Xin Qi, Liwei Ju, Shenbo Yang, Wei Gan, Gen Li and Xiping Bai

Energy, 2025, vol. 318, issue C

Abstract: With the in-depth promotion of Rural Revitalization Strategy and the problem of low utilization of distributed resources, it is becoming increasingly common and intense for rural distributed energy system(RDES) to participate in energy market trading. Therefore, to increase the competitiveness of trading, this paper takes the RDES group, formed by multi-RDES through electricity-carbon-biomass peer-to-peer trading, as a foundational participant in the market, and establishes a Stackelberg game model between RDES group and the energy supplier(ES). Secondly, a lower-level Asymmetric Nash bargaining model combining marginal contribution rate and multi-energy-sharing contribution rate is constructed. Then, an improved distributed solution algorithm is designed to protect the privacy of the systems during trading. Finally, three RDESs in Lankao County, Henan Province, China are taken as an example, multiple scenarios are set up for analysis. The results shows that the bilevel peer-to-peer interactive trading model proposed in this paper reduces cost by 24.91 %, improves the efficiency of renewable energy consumption, environmental benefits and the benefits allocation satisfaction, and realizes connectivity, energy sharing and win-win outcomes among multi-RDES.

Keywords: Rural distributed energy system; Electricity-carbon-biomass peer to peer trading; Stackelberg game; Asymmetric Nash bargaining; Distributed solution (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225004098
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:energy:v:318:y:2025:i:c:s0360544225004098

DOI: 10.1016/j.energy.2025.134767

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

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