Grey-box Modelling of a Household Refrigeration Unit Using Time Series Data in Application to Demand Side Management

Autor:	Sossan, Fabrizio, Lakshmanan, Venkatachalam, Costanzo, Giuseppe Tommaso, Marinelli, Mattia, Douglass, Philip J., Bindner, Henrik
Rok vydání:	2015
Předmět:	Computer Science - Systems and Control
Druh dokumentu:	Working Paper
Popis:	This paper describes the application of stochastic grey-box modeling to identify electrical power consumption-to-temperature models of a domestic freezer using experimental measurements. The models are formulated using stochastic differential equations (SDEs), estimated by maximum likelihood estimation (MLE), validated through the model residuals analysis and cross-validated to detect model over-fitting. A nonlinear model based on the reversed Carnot cycle is also presented and included in the modeling performance analysis. As an application of the models, we apply model predictive control (MPC) to shift the electricity consumption of a freezer in demand response experiments, thereby addressing the model selection problem also from the application point of view and showing in an experimental context the ability of MPC to exploit the freezer as a demand side resource (DSR). Comment: Submitted to Sustainable Energy Grids and Networks (SEGAN). Accepted for publication
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1510.06855 Zobrazit plný text záznamu View this record from Arxiv