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基于用户偏好的电力资源去中心化配置方法
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1. 郑州大学软件技术学院, 河南省郑州市 450000; 2. 郑州大学互联网医疗与健康服务河南省协同创新中心, 河南省郑州市 450000; 3. 河南省水环境治理与生态修复院士工作站, 河南省郑州市 450002

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国家重点研发计划资助项目(SQ2018YFB1201403);国家自然科学基金资助项目(61602422);河南省产学研合作项目(182107000053)


Decentralization Configuration Method of Power Resources Based on User Preference
Author:
Affiliation:

1. School of Software Technology, Zhengzhou University, Zhengzhou 450000, China; 2. Cooperative Innovation Center of Internet Healthcare, Zhengzhou University, Zhengzhou 450000, China; 3.Water Environment Governance and Ecological Restoration Academician Workstation of Henan Province, Zhengzhou 450002, China

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    摘要:

    针对大规模、高频次能量流和信息流在多元用户传输与交互过程中存在的安全问题,提出一种基于用户偏好的电力资源去中心化配置方法。首先,将电力市场中的节点区分为能源节点和能源区块代理路由器两类主体;随后,对能源供需中的偏好按照历史供能习惯划分为环境友好型、输电资源节约型和经济高效型三类;进而提出一类能量信息匹配算法及综合评估函数,用于满足多用户环境下的最优电力资源配置。仿真实验表明,该方法可提高清洁能源在市场交易中的消费占比,促进能量就近消纳,提高电网的资源配置能力。

    Abstract:

    To solve at the security problems of large-scale and high-frequency energy and information flow in the process of multi-user transmission and interaction, this paper proposes a decentralization configuration method of power resources based on user preference. Firstly, the nodes in the energy market are divided into two parts: energy nodes and energy block agent router. Then, the preferences in energy supply and demand are classified into three categories: environment-friendly, transport resource-saving and cost-effective according to historical energy supply habits. A kind of energy information matching algorithm and comprehensive evaluation function are proposed to meet the optimal configuration of power resources in multi-user environment. The simulation results show that the model can improve the consumption ratio of clean energy in market transactions, promote the energy near consumption and improve the resource allocation ability of the power grid.

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佘维,杨晓宇,田钊,等.基于用户偏好的电力资源去中心化配置方法[J].电力系统自动化,2019,43(13):98-104. DOI:10.7500/AEPS20180731015.
SHE Wei, YANG Xiaoyu, TIAN Zhao,et al.Decentralization Configuration Method of Power Resources Based on User Preference[J].Automation of Electric Power Systems,2019,43(13):98-104. DOI:10.7500/AEPS20180731015.

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历史
  • 收稿日期:2018-07-31
  • 最后修改日期:2019-04-30
  • 录用日期:2019-02-12
  • 在线发布日期: 2019-04-26
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