Power Tracking Control of Heterogeneous Populations of TCLs with Partially Measured States

TL;DR

This paper introduces a robust aggregate power tracking control method for populations of thermostatically controlled loads, using PDE-based modeling and partial state measurements, ensuring stability and reducing communication in large-scale systems.

Contribution

It develops a PDE-based control scheme that operates with partial measurements and guarantees finite-time stability without truncating the model, advancing large-scale TCL management.

Findings

The control scheme achieves robust power tracking in simulations.

It maintains stability despite modeling uncertainties.

Effective for populations of different sizes.

Abstract

This paper presents a new aggregate power tracking control scheme for populations of thermostatically controlled loads (TCLs). The control design is performed 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 system parameters and uses only partial state measurement, is derived, and a sliding model-like control is applied to achieve finite-time input-to-state stability for tracking error dynamics. Such a control strategy can ensure robust performance in the presence of modeling uncertainties, while considerably reducing the communication burden in large scale distributed systems similar to that considered in the present work. A rigorous analysis of the closed-loop stability of the underlying PDE system was conducted, which guaranteed the validity of the developed control scheme. Simulation studies were performed while considering two TCL populations with a significant difference in their size, and the results show that the developed control scheme performs well in both cases, thereby confirming the effectiveness of the proposed solution.