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1.华北电力大学电气与电子工程学院,北京市 102206
2.国网吉林省电力有限公司经济技术研究院,吉林省长春市 130022
黄易君成 (1998—),女,硕士研究生,主要研究方向:电力需求侧响应与电力规划。E-mail:hyjc95053@163.com
王志强 (1967—),男,副教授,主要研究方向:电力系统运行控制、电力系统继电保护。E-mail:wwwgode@163.com
刘文霞 (1967—),女,通信作者,博士,教授,博士生导师,主要研究方向:电力系统规划与可靠性、电力系统风险评价。E-mail:liuwenxia001@163.com
收稿日期:2021-09-28,
修回日期:2021-12-22,
网络出版日期:2022-03-10,
纸质出版日期:2022-06-10
移动端阅览
黄易君成,王志强,刘文霞等.基于个体时空行为模拟的区域电供暖负荷特性建模[J].电力系统自动化,2022,46(11):85-93.
HUANG Yijuncheng,WANG Zhiqiang,LIU Wenxia,et al.Characteristic Modeling of Regional Electric Heating Load Based on Individual Spatial-Temporal Behavior Simulation[J].Automation of Electric Power Systems,2022,46(11):85-93.
黄易君成,王志强,刘文霞等.基于个体时空行为模拟的区域电供暖负荷特性建模[J].电力系统自动化,2022,46(11):85-93. DOI: 10.7500/AEPS20210928002.
HUANG Yijuncheng,WANG Zhiqiang,LIU Wenxia,et al.Characteristic Modeling of Regional Electric Heating Load Based on Individual Spatial-Temporal Behavior Simulation[J].Automation of Electric Power Systems,2022,46(11):85-93. DOI: 10.7500/AEPS20210928002.
为准确刻画区域电供暖负荷特性以支撑电网改造和需求侧管理,提出了基于个体时空行为模拟的区域电供暖负荷特性仿真建模方法。该模型引入智能体建模方法,以家庭成员作为最小决策单元,采用家庭成员、家庭网络、住宅区域三层结构。首先,考虑出行行为和人体热舒适度,建立家庭成员供暖温度决策模型;其次,考虑家庭成员情感交互、出行时序及经济因素,建立家庭供暖温度决策模型;最后,考虑天气温度、住宅保暖性能并结合电供暖设备运行策略,建立区域供暖用电负荷模型。采用某住宅区域家庭数据为算例进行仿真,验证了模型的有效性,并对负荷特性的相关性、敏感性因素进行了深入分析。
In order to accurately describe the characteristics of regional electric heating load
and support the power grid transformation and the demand side management
a simulation modeling method of regional electric heating load characteristics based on individual spatial-temporal behavior simulation is proposed. In this model
an agent-based modeling method is introduced. With family members as the minimum decision-making unit
a three-layer structure of family members
family network and residential area is adopted. Firstly
a heating temperature decision model of family members is established considering travelling behavior and human thermal comfort. Then
a heating temperature decision model for family members is established that takes into account the family members' emotional interaction
travelling time sequence and economic factors. Finally
considering weather temperature
residential thermal performance and operation strategy for electric heating equipment
a regional heating electricity consumption load model is established. The effectiveness of the model is verified by the simulation of household data in a residential area
and the correlation and sensitivity factors of load characteristics are deeply analyzed.
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