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Multi-party energy management for smart building cluster with PV systems using automatic demand response

机译:使用自动需求响应的具有光伏系统的智能建筑集群的多方能源管理

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摘要

In a smart grid environment, the joint operation of multiple Smart Buildings (SBs) could be more advantageous than the independent operation of each individual SB. In order to enable the joint operation, the concept of Smart Building Cluster (SBC) is introduced in this paper. An energy management framework for achieving optimal operations of SBC is proposed, and the information exchange processes between the Smart Building Cluster Operator (SBCO) and the participating SBs are described. A multi-party energy management model for SBC based on non-cooperative game theory is proposed, considering building integrated PV systems and automatic demand response (ADR), with all participating SBs viewed as players in the game. The existence of Nash equilibrium in the game model is proved, and the process for solving the Nash equilibrium strategy is modeled as a multi-objective optimization problem (MOP). Furthermore, the solution method and procedure based on an iterative method are proposed. Finally, via a practical example, the effectiveness of the model is verified. The proposed method is able to reduce the total cost of the SBs by 4.6% and improve the load factor of the SBC from 0.68 to 0.76 when the proportion of shiftable loads is 25% in the total load profile. (C) 2016 Elsevier B.V. All rights reserved.
机译:在智能电网环境中,多个智能建筑(SB)的联合运营可能比每个单独SB的独立运营更具优势。为了实现联合操作,本文介绍了智能建筑集群(SBC)的概念。提出了一种用于实现SBC最佳运行的能源管理框架,并描述了智能建筑集群运营商(SBCO)与参与的SB之间的信息交换过程。提出了一种基于非合作博弈的多方SBC能源管理模型,其中考虑了构建集成的光伏系统和自动需求响应(ADR),并将所有参与的SB都视为博弈者。证明了博弈模型中纳什均衡的存在,并将求解纳什均衡策略的过程建模为一个多目标优化问题(MOP)。此外,提出了基于迭代方法的求解方法和步骤。最后,通过一个实例,验证了模型的有效性。当可移动负载在总负载曲线中的比例为25%时,该方法能够将SB的总成本降低4.6%,并将SBC的负载系数从0.68提高到0.76。 (C)2016 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Energy and Buildings》 |2016年第6期|11-21|共11页
  • 作者单位

    North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China|China Elect Power Res Inst, Power Distribut Dept, Beijing 100192, Peoples R China;

    North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China;

    Univ Wisconsin, Dept Elect Engn & Comp Sci, Milwaukee, WI 53211 USA;

    North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China;

    CSG, Elect Power Res Inst, Guangzhou 510080, Guangdong, Peoples R China;

    Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400044, Peoples R China;

    North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China;

    North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Smart building cluster; Energy management; Demand response; Nash equilibrium; Iterative method;

    机译:智能建筑集群能源管理需求响应纳什均衡迭代法;
  • 入库时间 2022-08-18 00:09:11

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