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Aggregated Power Model of Air-conditioning Load Considering Stochastic Adjustment Behaviors of Consumers
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College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China

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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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    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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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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  • Received:March 25,2019
  • Revised:June 16,2019
  • Adopted:
  • Online: February 14,2020
  • Published: