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文章摘要
区块链技术下考虑碳排放权的电力现货交易模型
Electricity spot trading model considering carbon emission allowance based on blockchain technology
Received:October 19, 2021  Revised:November 11, 2021
DOI:10.19753/j.issn1001-1390.2022.07.016
中文关键词: 区块链  电力现货市场  碳排放权  双链交易  可再生能源
英文关键词: blockchain, electricity spot market, carbon emission allowance, double chain transaction, renewable energy
基金项目:国网辽宁省电力有限公司科技项目资助(SGNYX00DFJS2100060)
Author NameAffiliationE-mail
Zhang Ye Marketing Service Center of State Grid Liaoning Electric Power Co., Ltd. 15234676359@126.com 
chenhongyu* Marketing Service Center of State Grid Liaoning Electric Power Co., Ltd. chenhongyu202@126.com 
Guan Yan Marketing Service Center of State Grid Liaoning Electric Power Co., Ltd. 15247866399@126.com 
Lu Xinyi, Marketing Service Center of State Grid Liaoning Electric Power Co., Ltd. 15899672159@126.com 
Xia, Jingyi Marketing Service Center of State Grid Liaoning Electric Power Co., Ltd. 15148796635@126.com 
Sun Jiayin Marketing Service Center of State Grid Liaoning Electric Power Co., Ltd. 15021459638@126.com 
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中文摘要:
      在低碳化电力市场发展的背景下,为提高参与电力现货市场中各个交易主体的积极性、经济效益与交易效率,本文提出了区块链技术下考虑碳排放权的电力现货交易模型。首先,本文结合去中心化的区块链技术,构建了兼顾电能和碳排放权交易的区块链现货交易机制,其次,以各个电力交易主体收益最大为目标,建立基于双链交易机制的电力现货市场出清决策模型,最后通过算例仿真验证本文所提电力现货交易方法的可行性和优越性。
英文摘要:
      In the context of the development of low-carbon power market. In order to improve the enthusiasm, economic benefits and transaction efficiency of each transaction subject participating in the power spot market, this paper proposes the electricity spot trading model considering carbon emission allowance based on blockchain technology. Firstly, combined with decentralized blockchain technology, this paper constructs a blockchain spot trading mechanism that takes into account electricity and carbon emission rights trading. Then, Aiming at maximizing the benefits of each power trading subject, a clearing decision model of power spot market based on double chain transaction mechanism is established. Finally, case study is performed to verify validity and superiority of the model.
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