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Peer-to-Peer Energy Sharing Among Smart Energy Buildings by Distributed Transaction

机译:通过分布式交易实现智能能源建筑之间的对等能源共享

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摘要

Efficient building energy management is essential for energy saving and green society. This paper investigates sustainable energy management for an energy building cluster with distributed transaction. The building cluster consists of several types of energy buildings, e.g., office, industrial, and commercial buildings. We first formulate utility functions for the buildings of consuming energy based on the characteristics of their controllable loads. Then a two-stage energy sharing strategy is presented. In the first stage, the total social energy cost is minimized through finding the optimal energy sharing profiles in a distributed way. In the second stage, the clearing for mutual energy sharing is modeled as a non-cooperative game, and the existence of the equilibrium of the game is illustrated and a relaxation-based algorithm is introduced to search for the equilibrium. Moreover, a real-time model for each building to overcome real-time uncertainties, such as renewable energy generation and base loads is provided. The simulation results show that the proposed energy sharing strategy is economically beneficial for the energy buildings, computationally efficient, and is promising to facilitate a sustainable regional building cluster.
机译:高效的建筑能源管理对于节能和绿色社会至关重要。本文研究了具有分布式事务的能源建筑集群的可持续能源管理。建筑群由几种类型的能源建筑组成,例如办公,工业和商业建筑。我们首先根据可控负载的特征来为能耗建筑制定效用函数。然后提出了两阶段的能量共享策略。在第一阶段,通过以分布式方式找到最佳的能源共享状况,将总社会能源成本降至最低。在第二阶段,将相互能量共享的结算建模为一个非合作博弈,并说明了博弈均衡的存在,并引入了基于松弛的算法来寻找均衡。此外,还为每个建筑物提供了实时模型,以克服实时不确定性,例如可再生能源的产生和基本负荷。仿真结果表明,提出的能量共享策略对能源建筑具有经济效益,计算效率高,有望促进可持续的区域建筑群。

著录项

  • 来源
    《Smart Grid, IEEE Transactions on》 |2019年第6期|6491-6501|共11页
  • 作者单位

    Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China|Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Minist Educ Wuhan 430074 Peoples R China;

    Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China|Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Minist Educ Wuhan 430074 Peoples R China|China Three Gorges Univ Hubei Prov Collaborat Innovat Ctr New Energy Yichang 443000 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Energy building; peer-to-peer; energy sharing; distributed optimization; non-cooperative game;

    机译:能源建筑;点对点;能量共享;分布式优化;非合作博弈;

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