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融合区块链的能源协同降碳电力交易福利模型 被引量:3

The power trading welfare model of synergistic energy decarbonization based on blockchain
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摘要 我国可再生能源电力存在信息流通不及时、供需不匹配等现象,导致能源消纳结构中传统能源占比居高不下、碳排放量高、可再生能源电力交易双方福利不高等问题。为此,构建了融合区块链的能源协同降碳电力交易系统,利用区块链技术改进用电方的效用函数,提出一种融合区块链的传统能源和可再生能源协同降碳电力交易福利模型。利用区块链信息共享特性整合多种类能源信息,收集供电侧的电力属性和用电侧的用电偏好进行有效的电力匹配。仿真结果表明:基于新模型的电力交易策略可以有效提高可再生能源消纳量,改善用电方的电力能源结构,提高可再生能源电力消耗占比,减少碳排放量。 There are some phenomena in renewable electricity resources in China,such as untimely information flow and mismatch between supply and demand,which lead to problems like a high proportion of traditional energies in the energy consumption structure,high carbon emissions,and a low welfare of both supply and demand sides in renewable energy transactions.In this regard,this paper constructs a power trading system for synergistic energy decarbonization that integrates blockchain.In this system,blockchain technology is utilized to improve the utility function of the electricity users,and an electricity trading welfare model of synergistic decarbonization of both traditional energies and renewable energies that integrates blockchain is put forward.In the model,the information sharing characteristics of blockchain are used to integrate multiple kinds of energy information,and to collect power attributes from the supply side and the preference of the user side for effective power matching.The simulation results show that the power trading strategy based on the model can effectively increase the consumption of renewable energies,improve energy structure of users,increase the use of electricity in renewable energy consumption,and reduce carbon emissions.
作者 赵璐钰 李军祥 王茹 ZHAO Luyu;LI Junxiang;WANG Ru(Business School,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处 《重庆理工大学学报(自然科学)》 CAS 北大核心 2022年第11期234-240,共7页 Journal of Chongqing University of Technology:Natural Science
基金 国家自然科学基金项目(72701130,71871144)。
关键词 降碳 可再生能源 微网 区块链 遗传算法 carbon reduction renewable energy micro grid blockchain genetic algorithm
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