有序用电智能多代理系统架构与机制研究
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陈 霄(1985-),男,博士,工程师,研究方向为电力用户负荷分析,电能计量;E-mail: cx_012003@163.com

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Intelligent multi-agent system for orderly power utilization: architecture and coordination mechanism design
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    摘要:

    有序用电是需求侧管理的重要组成部分。当系统存在电力供应缺口时,通过削减用户负荷保障电力供需平衡。其方案编制以人工为主,缺乏互动,智能化程度较低,导致有序用电缺口指标分配工作精细化程度不高,执行较粗放。设计了一种覆盖空间上多层电网的有序用电智能多代理系统架构。该架构将电网物理结构分为“系统—节点—用户”三层,并分别为系统、节点和用户建立智能代理模型。在智能代理内部,嵌入了学习机制使得智能代理能对环境变化作出自适应的响应。在智能代理之间,提出了一种鼓励用户互济的协商机制,该机制使得一个用户无法完成指标缺口时,其他用户可对其进行支援并获得补偿。通过智能代理模型的协作,实现了有序用电缺口指标的多层次、自适应、交互式分配。

    Abstract:

    Orderly power utilization is an important measurement of demand side management. When there is power supply shortage or emergency events, orderly power utilization can be applied to decrease electricity demand and ensure the balance of electricity supply and demand. Nowadays orderly power utilization is mainly carried out in a manually manner without optimization and communicating with consumers, which cannot obtain a precise and strategic allocation of load shedding. This paper designs an intelligent multi-agent system architecture and coordination mechanism for the multi-layer distribution of load shedding in orderly power utilization. The electrical grid is decomposed into three layers: system layer, node layer and customer layer. The three layers are modelled using intelligent agent. For each agent, a learning mechanism is embedded to make the agent be able to adaptively response to the environment. Among different agents, an agent coordination mechanism is designed to encourage customers’ mutual support. Through the cooperation of agents, the proposed method can adaptively and interactively distribute the load shedding, obtaining a strategic orderly power utilization in a multi-layer electrical grid.

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陈霄,童星,张宁,等.有序用电智能多代理系统架构与机制研究[J].电力系统保护与控制,2016,44(9):75-82.[CHEN Xiao, TONG Xing, ZHANG Ning, et al. Intelligent multi-agent system for orderly power utilization: architecture and coordination mechanism design[J]. Power System Protection and Control,2016,V44(9):75-82]

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  • 收稿日期:2015-11-18
  • 最后修改日期:2016-03-24
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  • 在线发布日期: 2016-04-27
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