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Commercial operation models of agricultural energy internet based on market biddingOA

中文摘要

This paper conducts an in-depth study on the Agricultural Energy Internet(AEI),covering multiple key areas including business models,market mechanisms,trading markets,bidding models,and trading platform systems.Regarding business models,it analyzes the architecture centered on the deep integration of energy and information,exploring various model types and their operational characteristics.Quantitative results show that AEI business models can improve energy utilization efficiency in agricultural scenarios by 20%–30%.Research on market mechanisms involves the roles of different participants,multi-timescale trading mechanisms,and bidding strategies.The study of renewable energy certificates and carbon markets reveals their critical role in accelerating the decarbonization of agriculture,with multi-modal trading schemes supporting policy compliance and profit generation.A reinforcement learning-based bidding model for electric agricultural machinery is constructed,which reduces electricity procurement costs by an average of 15%,based on simulation training using over 1,000 sets of historical transaction data.The trading platform system,built on the Internet of Energy and blockchain technologies,provides a secure and efficient environment for energy and carbon trading.Overall,the research demonstrates the significant potential of AEI in promoting sustainable agricultural development and supporting the global transition to a low-carbon economy.At the same time,it identifies key challenges and opportunities in areas such as technology application,interdisciplinary integration,policy improvement,and international collaboration.

Kun Zheng;Zhiyuan Sun;Mosi Liu;Dechang Yang

Electric Power Research Institute of Guangxi Power Grid Co.,Ltd.,Nanning,ChinaElectric Power Research Institute of Guangxi Power Grid Co.,Ltd.,Nanning,ChinaElectric Power Research Institute of Guangxi Power Grid Co.,Ltd.,Nanning,ChinaCollege of Information and Electrical Engineering,China Agricultural University,Beijing,China

管理科学

Agricultural Energy InternetMarket ParticipantsTrading MechanismsCarbon TradingReinforcement LearningElectric Agricultural Machinery

《Information Processing in Agriculture》 2026 (1)

P.72-85,14

supported by the National Key Research and Development Program of China(Grant No.2022YFE0129400)Science and technology projects of Guangxi Grid Company Limited(Grant No.WT0400550000000987).

10.1016/j.inpa.2025.08.002

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