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1.智能电网教育部重点实验室(天津大学),天津市 300072
2.河海大学能源与电气学院,江苏省南京市 210098
3.华中科技大学人工智能与自动化学院,湖北省武汉市 430074
葛磊蛟(1984—),男,博士,副教授,硕士生导师,主要研究方向:智能配电网态势感知、新能源并网优化控制和智能配用电大数据云计算技术。E-mail:legendglj99@tju.edu.cn
刘航旭(1999—),男,硕士研究生,主要研究方向:智能配电网、综合能源系统。E-mail:lhx634897894@163.com
孙永辉(1980—),男,通信作者,博士,教授,主要研究方向:电力系统分析与控制、负荷预测。E-mail:sunyonghui68 @gmail.com
收稿:2022-09-05,
修回:2023-03-01,
网络出版:2023-06-05,
纸质出版:2023-10-25
移动端阅览
葛磊蛟,刘航旭,孙永辉等.智能配电网多元电力用户群体特性精准感知技术综述[J].电力系统自动化,2023,47(20):174-191.
GE Leijiao,LIU Hangxu,SUN Yonghui,et al.Review on Accurate Awareness Technology for Characteristics of Diversified Power User Groups in Smart Distribution Network[J].Automation of Electric Power Systems,2023,47(20):174-191.
葛磊蛟,刘航旭,孙永辉等.智能配电网多元电力用户群体特性精准感知技术综述[J].电力系统自动化,2023,47(20):174-191. DOI: 10.7500/AEPS20220905001.
GE Leijiao,LIU Hangxu,SUN Yonghui,et al.Review on Accurate Awareness Technology for Characteristics of Diversified Power User Groups in Smart Distribution Network[J].Automation of Electric Power Systems,2023,47(20):174-191. DOI: 10.7500/AEPS20220905001.
智能配电网和电力物联网的交叉融合以及新型电力系统的发展,使电力用户呈现多元社会化的新特征,导致传统以电气特性为核心的负荷特性感知方法难以适应电力行业发展需求。智能配电网多元电力用户群体的数据获取、特性表征、互动特性评估等成为热点,文中对其相关研究内容进行综述。首先,对智能配电网多元电力用户群体特性精准感知的内涵和关键技术进行简要分析。然后,从3个方向对现有研究方法和模型进行剖析:信息互联下的多元电力用户群体数据全息感知方法;多元电力用户群体特征建模分析方法;多能互补和源荷互动场景下多元电力用户群体特性精准感知方法。最后,分析智能配电网多元电力用户群体特性精准感知领域所面临的挑战,展望该领域未来可能的研究方向。
The cross integration of smart distribution networks and power Internet of Things and the development of new power systems make power users present the new characteristics of pluralistic socialization
which makes the traditional load characteristic awareness method with electrical characteristics as the core difficult to meet the needs of the development of the power industry. The data acquisition
characteristic representation and interactive characteristic evaluation of diversified power user groups in the smart distribution network have become hot spots. This paper summarizes the related research contents. Firstly
the connotation and key technologies of accurate awareness for the characteristics of diversified power user groups in the smart distribution network are briefly analyzed. Secondly
the existing research methods and models are analyzed from three directions: holographic awareness method of diversified power user group data under information interconnection; modeling and analysis method for characteristics of diversified power user groups; and accurate awareness method for characteristics of diversified power user groups in the scenario of multi-energy complementarity and source-load interaction. Finally
the challenges faced in the field of accurate awareness for the characteristics of diversified power user groups in the smart distribution network are analyzed
and the possible research directions in this field in the future are prospected.
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