引用本文: | 汤庆峰,刘念,张建华.计及广义需求侧资源的用户侧自动响应机理与关键问题[J].电力系统保护与控制,2014,42(24):138-147.[点击复制] |
TANG Qing-feng,LIU Nian,ZHANG Jian-hua.Theory and key problems for automated demand response of user side considering generalized demand side resources[J].Power System Protection and Control,2014,42(24):138-147[点击复制] |
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摘要: |
自动需求响应是智能电网的关键技术之一,在广义需求侧资源接入的情况下,对用户侧如何实施自动需求响应提出了更高要求。首先,介绍了用户侧的智能用电单元的基本形态,分析了负荷、分布式电源、储能与电动汽车等需求侧资源的适用性;提出了“独立用户+节点型智能用电单元”与“集体用户+聚合型智能用电单元”两种用户自动需求响应运行模式,并给出了相应的电气与信息架构。其次,从系统架构设计、用户负荷特征及负荷预测、负荷可调控性及控制模型、优化模型与方法等多个方面综述了用户侧自动需求响应的国内外研究现状及发展动态。最后,总结分析认为用户侧短期负荷预测、负荷可调控性与可计划性模型、面向自动需求响应的优化运行、综合效益评估等是需要进一步研究的关键问题。 |
关键词: 智能用电 自动需求响应 可控负荷 优化运行 综合效益 |
DOI:10.7667/j.issn.1674-3415.2014.24.023 |
投稿时间:2014-05-13修订日期:2014-07-07 |
基金项目:国家自然科学基金面上项目(51277067) |
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Theory and key problems for automated demand response of user side considering generalized demand side resources |
TANG Qing-feng,LIU Nian,ZHANG Jian-hua |
(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric
Power University, Beijing 102206, China) |
Abstract: |
Automated demand response (Auto-DR) is one of the key technologies in smart grid. When the generalized demand side resources (DSR) are connected to the grid, the implementation of auto-DR on the user side needs more requirements. Firstly, this paper introduces the basic form of smart unit of the electricity consumption on the user side and analyses the applicability of DSR such as controllable load, distributed energy resources, energy storage and electric vehicles. Two operation modes of auto-DR (“Independent users & smart unit” and “collective users & aggregated smart unit”) are proposed, and their related electrical and information structure is also introduced. Secondly, the research status and development of auto-DR on user side are summarized, including system architecture design, load features and forecasting of different type of users, categories of load type and control models, optimization models and methods, etc. Finally, the paper concludes that key problems such as short-term load forecast of users, models of load regulation and planning, optimized operation for auto-DR and comprehensive benefit evaluation still need further research. |
Key words: smart electricity consumption automated demand response controllable load optimized operation comprehensive benefit |