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考虑用户调节行为随机性的空调负荷聚合功率模型
作者:
作者单位:

河海大学能源与电气学院,江苏省 南京市 210098

作者简介:

姜婷玉(1995—),女,通信作者,博士研究生,主要研究方向:柔性负荷、需求响应。E-mail:jtingyuyuki@163.com
鞠 平(1962—),男,教授,博士生导师,主要研究方向:电力系统建模与控制。E-mail:pju@hhu.edu.cn
王 冲(1988—),男,博士,副教授,主要研究方向:弹性电力系统、弹性综合能源系统、新能源接入的系统运行、电力系统网络安全。E-mail:chongwang@hhu.edu.cn

通信作者:

基金项目:

国家自然科学基金重点项目(51837004);高等学校学科创新引智计划(“111”计划)资助项目(B14022)。


Aggregated Power Model of Air-conditioning Load Considering Stochastic Adjustment Behaviors of Consumers
Author:
Affiliation:

College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China

Fund Project:

This work is supported by National Natural Science Foundation of China (No. 51837004) and Program of Introducing Talents of Discipline to Universities (“111” Program) (No. B14022).

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    摘要:

    大规模聚合空调负荷可通过需求响应改变其聚合功率,在削峰填谷、平衡新能源波动和提供辅助服务等方面可以发挥重要作用。建立能够描述空调负荷聚合特性的模型对电网调度而言具有实际意义。相较于对独立空调负荷模型的广泛研究,针对空调负荷聚合模型的研究相对滞后且建模时对参数的要求较高。文中以调节空调温度设定值的方法为基础,在考虑室外环境温度变化和用户调节行为随机性的背景下,基于状态队列模型的思路建立了简化的空调负荷聚合功率模型,能够有效减少调度时计算量和实时通信压力。通过仿真分析验证了该模型在电网应用中的准确性和可行性。

    Abstract:

    Large-scale aggregated air-conditioning load can change its aggregated power through demand response, which plays an important role in peak shaving, balancing fluctuations of renewable energy and providing auxiliary service. For the dispatching of power grid, it has a practical meaning to establish a model to describe the characteristics of aggregated air-conditioning loads. Compared with the extensive researches on independent model for air-conditioning loads, there are few researches on aggregated model for air-conditioning loads which requires accurate parameters in modeling. Based on the method of adjusting the temperature setting of air-conditioning, this paper proposes a simplified aggregated power model for air-conditioning loads considering outdoor environment temperature variations and the stochastic adjustment behaviors of the consumers. In addition, the proposed model is simplified based on the state queuing model, which can effectively reduce computation burden and real-time communication pressure during dispatching. The accuracy and feasibility of the proposed model are verified through simulation analysis.

    表 1 空调负荷参数范围Table 1 Parameter ranges of air-conditioning load
    图1 调节温度设定值时含跌落部分的聚合功率模型Fig.1 Aggregated power model with a drop component when adjusting temperature setpoint
    图2 修正系数对模拟精度的影响Fig.2 Effect of correction coefficient on simulation accuracy
    图3 外界温度变化对模拟效果的影响(ΔT set=0.5 ℃)Fig.3 Effect of external temperature variation on simulation performance (Δ T set=0.5 ℃)
    图4 用户调节行为随机性对模拟效果的影响Fig.4 Effects of stochastic adjustment behavior of consumer on simulation performance
    图5 时间间隔对状态迁移的影响Fig.5 Effects of time interval on state transition
    图6 不同初始设置温度对空调聚合功率调节过程的影响Fig.6 Effects of different initial setting temperatures on aggregated power regulation process of air-conditioning
    图 调节温度设定值时状态队列模型Fig. The state queuing model when adjusting the setpoint
    图 状态转移Fig. State Transition
    图 温度设定值转移路线Fig. Setpoint transfer route
    图 状态转移矩阵,bin=8Fig. State transition table, bin=8
    图 状态转移矩阵,bin=16Fig. State transition table, bin=16
    图 状态转移矩阵,bin=32Fig. State transition table, bin=32
    图 不同初始温度下用户转移行为概率密度函数Fig. Probability density function of users’ transfer behavior at different initial temperatures
    图1 调节温度设定值时含跌落部分的聚合功率模型Fig.1 Aggregated power model with a drop component when adjusting temperature setpoint
    图2 修正系数对模拟精度的影响Fig.2 Effect of correction coefficient on simulation accuracy
    图3 外界温度变化对模拟效果的影响(ΔT set=0.5 ℃)Fig.3 Effect of external temperature variation on simulation performance (ΔT set=0.5 ℃)
    图4 用户调节行为随机性对模拟效果的影响Fig.4 Effects of stochastic adjustment behavior of consumer on simulation performance
    图5 时间间隔对状态迁移的影响Fig.5 Effects of time interval on state transition
    图6 不同初始设置温度对空调聚合功率调节过程的影响Fig.6 Effects of different initial setting temperatures on aggregated power regulation process of air-conditioning
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引用本文

姜婷玉,鞠平,王冲.考虑用户调节行为随机性的空调负荷聚合功率模型[J].电力系统自动化,2020,44(3):105-113. DOI:10.7500/AEPS20190325008.
JIANG Tingyu,JU Ping,WANG Chong.Aggregated Power Model of Air-conditioning Load Considering Stochastic Adjustment Behaviors of Consumers[J].Automation of Electric Power Systems,2020,44(3):105-113. DOI:10.7500/AEPS20190325008.

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  • 收稿日期:2019-03-25
  • 最后修改日期:2019-06-16
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  • 在线发布日期: 2020-02-14
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