李军祥;周继儒;何建佳;

• 1:上海理工大学管理学院

摘要(Abstract)：

区块链作为一种去中心化的数据库技术可有效实现电网数据的分布式信息交互和共同维护。在对基于区块链的电力系统的混合博弈架构进行分析的基础上,改进了用户用电的效用函数,构建了内嵌供电商合作博弈的供需双方主从博弈模型。仿真结果表明,区块链去中心化的特点可将分散的供电商整合为一个供电合作联盟,有效地提高了微网可再生能源的利用率。同时,用户也作为独立节点参与到电网决策中,区块链交易平台信息的公开透明可提高用户用电决策的精准性和用电福利。基于区块链的电网实时定价混合博弈可有效实现电力的供需平衡,增加供需两侧的福利,提高可再生能源的利用率。

关键词(KeyWords)： 微网;可再生能源;区块链;混合博弈;实时定价

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(71572113,71871144);国家自然科学基金匹配项目(1P16303003,2020KJFZ034,2019KJFZ048,2018KJFZ035);; 上海理工大学大学生创新训练计划项目(XJ2020135,XJ2020144,XJ2020148,XJ2020177)~~

作者(Author): 李军祥;周继儒;何建佳;

Email:

DOI: 10.13335/j.1000-3673.pst.2019.2578

参考文献(References)：

• [1]张莉,高岩,刘松涛,等．具有时间耦合约束的多时段智能电网实时电价[J]．系统工程理论与实践,2019,39(10):2599-2609.Zhang Li,Gao Yan,Liu Songtao,et al.Multi-time slots real-time pricing for smart grid with time-coupled constraints[J].Systems Engineering-Theory&Practice,2019,39(10):2599-2609(in Chinese)．
• [2]张莉,高岩,朱红波,等．考虑用电量不确定性的智能电网实时定价策略[J]．电网技术,2019,43(10):3622-3631.Zhang Li,Gao Yan,Zhu Hongbo,et al.Real-time pricing strategy based on uncertainty of power consumption in smart grid[J].Power System Technology,2019,43(10):3622-3631(in Chinese)．
• [3]陶莉,高岩,朱红波,等．有可再生能源和电力存储设施并网的智能电网优化用电策略[J]．中国管理科学,2019,27(2):150-157.Tao Li,Gao Yan,Zhu Hongbo,et al.Optimal scheduling for smart grids with the integration of renewable resources and storage devices[J].Chinese Journal of Management Science,2019,27(2):150-157(in Chinese)．
• [4]赵琳,高岩．具有可替换能源的智能电网实时电价研究[J]．上海理工大学学报,2018,40(6):511-518.Zhao Lin,Gao Yan.Real-time pricing strategy based on alternative energy in smart grid[J].Journal of University of Shanghai for Science and Technology,2018,40(6):511-518(in Chinese)．
• [5]Nakamoto S.Bitcoin:a peer-to-peer electronic cash system[J].Consulted,2008．
• [6]邰雪,孙宏斌,郭庆来．能源互联网中基于区块链的电力交易和阻塞管理方法[J]．电网技术,2016,40(12):3630-3638.Tai Xue,Sun Hongbin,Guo Qinglai.Electricity transactions and congestion management based on blockchain in energy internet[J].Power System Technology,2016,40(12):3630-3638(in Chinese)．
• [7]平健,陈思捷,张宁,等．基于智能合约的配电网去中心化交易机制[J]．中国电机工程学报,2017,37(13):3682-3690.Ping Jian,Chen Sijie,Zhang Ning,et al.Decentralized transactive mechanism in distribution network based on smart contract[J].Proceedings of the CSEE,2017,37(13):3682-3690(in Chinese)．
• [8]宁晓静,张毅,林湘宁,等．基于物理-信息-价值的能源区块链分析[J]．电网技术,2018,42(7):2312-2323.Ning Xiaojing,Zhang Yi,Lin Xiangning,et al.Block chain analysis of energy based on physics-information-value[J].Power System Technology,2018,42(7):2312-2323(in Chinese)．
• [9]马天男,彭丽霖,杜英,等．区块链技术下局域多微电网市场竞争博弈模型及求解算法[J]．电力自动化设备,2018,38(5):191-203.Ma Tiannan,Peng Lilin,Du Ying,et al.Local multimicro grid market competition game model and solving algorithm under block chain technology[J].Electric Power Automation Equipment,2018,38(5):191-203(in Chinese)．
• [10]潘明明,刘连光,叶远誉,等．能源互联网中用户参与负荷转移的混合博弈[J]．电网技术,2015,39(11):3088-3093.Pan Mingming,Liu Lianguang,Ye Yuanyu,et al.A game-theoretic analysis for customers’load shifting in energy Internet[J].Power System Technology,2015,39(11):3088-3093(in Chinese)．
• [11]常源,刘宗歧,黄珊,等．风火网混合博弈协调规划及利益分配方法[J]．电网技术,2019,43(11):3899-3907.Chang Yuan,Liu Zongqi,Huang Shan,et al.Coordinated planning and profit distribution of wind power,thermal power and grid based on mixed game theory[J].Power System Technology,2019,43(11):3899-3907(in Chinese)．
• [12]Juhar A,Khaled S.Peer to peer distributed energy trading in smart grids:a survey[J].Energies,2018,11(6):1560-1581．
• [13]袁勇,王飞跃．区块链技术发展现状与展望[J]．自动化学报,2016,42(4):481-494.Yuan Yong,Wang Feiyue.Blockchain:the state of the art and future trends[J].Acta Automatica Sinica,2016,42(4):481-494(in Chinese)．
• [14]Dong Zhaoyang,Luo Fengji,Liang Gaoqi.Blockchain:a secure,decentralized,trusted cyber infrastructure solution for future energy systems[J].Journal of Modern Power Systems and Clean Energy,2018,6(5):118-127．
• [15]Du Mingxiao,Ma Xiaofeng,Zhang Zhe,et al.A review on consensus algorithm of blockchain[C]//2017 IEEE International Conference on Systems,Man and Cybernetics (SMC).2017:2567-2572．
• [16]Tan Senpeng,Yang Chao.Research and improvement of blockchain’s DPoS consensus mechanism[J].Modern Computer,2019(6):11-14．
• [17]张运贵,李晖照,王雪,等．基于双层博弈的实时电价定价策略研究[J]．电工技术,2018(4):36-39.Zhang Yungui,Li Huizhao,Wang Xue,et al.Study on pricing strategy of real-time electricity price based on double game[J].Electric Engineering,2018(4):36-39(in Chinese)．
• [18]Samadi P,Mohsenian-Rad A,Schober R,et al.Optimal real-time pricing algorithm based on utility maximization for smart grid[C]//2010 First IEEE International Conference on Smart Grid Communications.Gaithersburg,MD:IEEE,2010:415-420．
• [19]李军祥,潘婷婷,高岩．智能电网互补能源供用电实时定价算法研究[J]．计算机应用研究,2020,37(4):1092-1096.Li Junxiang,Pan Tingting,Gao Yan.Real-time pricing algorithm for supply and demand of complementary energy on smart grid[J].Application Research of Computers,2020,37(4):1092-1096(in Chinese)．
• [20]刘念,赵璟,王杰,等．基于合作博弈论的光伏微电网群交易模型[J]．电工技术学报,2018,33(8):1903-1910.Liu Nian,Zhao Jing,Wang Jie,et al.A trading model of PV microgrid cluster based on cooperative game theory[J].Transactions of China Electrotechnical Society,2018,33(8):1903-1910(in Chinese)．
• [21]刘博,李军祥,高岩．智能电网分类用户实时电价算法研究[J]．计算机应用研究,2017,34(9):2605-2609.Liu Bo,Li Junxiang,Gao Yan.Research on real-time pricing algorithm for classified subscribers on smart grid[J].Application Research of Computers,2017,34(9):2605-2609(in Chinese)．
• [22]薛振宇,益西措姆,李敬如,等．扶贫光伏发电典型接入方式及经济效益评估[J]．供用电,2019,36(4):79-85.Xue Zhenyu,Yixicuomu,Li Jingru,et al.The typical access mode and economic benefit evaluation of photovoltaic generation for poverty alleviation[J].Distribution&Utilization,2019,36(4):79-85(in Chinese)．
• [23]刘睿,翟相彬．中国燃煤电厂碳排放量计算及分析[J]．生态环境学报,2014,23(7):1164-1169.Liu Rui,Zhai Xiangbin.Calculation and analysis of carbon emission from coal-fired power plants in China[J].Ecology and Environmental Sciences,2014,23(7):1164-1169(in Chinese).