Power Tracking Control of Heterogeneous TCL Populations with Modeling Uncertainties and Communication Restrictions

Abstract

This paper presents a new aggregate power tracking control scheme for populations of thermostatically controlled loads (TCLs). The control design is carried out in the framework of partial differential equations (PDEs) based on a late-lumping procedure without truncating the infinite-dimensional model describing the dynamics of the TCL population. An input-output linearization control scheme, which is independent of the system parameters and uses only partial state measurement, is derived, and a sliding model control is applied, which allows achieving a finite-time input-to-state stability for the tracking error dynamics. Such a control strategy can ensure a robust performance in the presence of modeling uncertainties while considerably reducing the communication burden in large scale distributed systems as the one considered in the present work. To guarantee the validity of the developed control scheme, a rigourous analysis on the solutions to the underlying PDE is conducted. Two implementations of the proposed control strategy, based on discrete-time approximation and fuzzy logic control, respectively, are validated through simulation studies.