Grey-box modeling for system identification of household refrigerators: A step toward smart appliances
Grey-box modeling for system identification of household refrigerators: A step toward smart appliances
复制标题
用于家用冰箱系统识别的灰盒建模：迈向智能家电的一步
DOI：
10.1109/iyce.2013.6604197
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
H. Madsen
中科院分区：
文献类型：
--
作者：
G. Costanzo;F. Sossan;M. Marinelli;P. Bacher;H. Madsen
提出了一种基于随机微分方程参数极大似然估计的家用蒸汽压缩制冷系统灰箱建模方法。所获得的模型是有用的，在控制冰箱作为灵活的消费单位，其操作可以在温度和操作限制内转移。即使冰箱不打算用作智能负载，经过验证的模型在预测单位消耗量方面也很有用。这一信息可以提高其他灵活单元（如用于空间供暖的热泵）的管理的最佳性，以平滑高峰时段的负载系数，提高电网的可靠性和效率，并降低运营成本。
This paper presents the grey-box modeling of a vapor-compression refrigeration system for residential applications based on maximum likelihood estimation of parameters in stochastic differential equations. Models obtained are useful in the view of controlling refrigerators as flexible consumption units, which operation can be shifted within temperature and operational constraints. Even if the refrigerators are not intended to be used as smart loads, validated models are useful in predicting units consumption. This information can increase the optimality of the management of other flexible units, such as heat pumps for space heating, in order to smooth the load factor during peak hours, enhance reliability and efficiency in power networks and reduce operational costs.