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集中式需求响应控制策略在非理想通信环境中易受到不良影响,因此提出一种基于模型预测的城市园区分层分布式温控负荷需求响应控制策略,以达到辅助电力系统运行,平抑可再生能源波动,同时减少信息传输量,削弱非理想通信环境影响的目的。该文首先讨论典型温控负荷电热泵设备的二阶微分方程形式热力学参数模型。在此基础上,构建一种分层分布式需求响应控制策略,并将电热泵设备指数模型作为控制中心预测模型,进行电热泵设备模型预测,以减少数据传输量同时达到控制效果。最后完成模型预测不同校正时间间隔对目标跟踪以及可再生能源波动平抑效果的影响仿真分析。
The centralized demand response control strategy is vulnerable to adverse effects in non-ideal communication environments. Therefore, a model-based distributed hierarchical temperature control load demand response control strategy for urban parks is proposed to achieve the operation of auxiliary power systems and stabilize renewable energy sources. Fluctuations, while reducing the amount of information transmission, weaken the purpose of non-ideal communication environment. This paper first discusses the thermodynamic parameter model of the second-order differential equation for typical temperature-controlled electric-heat pump equipment. On this basis, a hierarchical distributed demand response control strategy is constructed, and the electric heat pump equipment index model is used as the control center forecast model to predict the electric heat pump equipment model so as to reduce the amount of data transmission and achieve the control effect at the same time. Finally, the simulation analysis of the effect of different model calibration time intervals on target tracking and the effect of renewable energy fluctuations is completed.