Stochastic Battery Model for Aggregation of Thermostatically Controlled Loads

TL;DR

This paper introduces a novel stochastic battery model for aggregating thermostatically controlled loads, enabling better demand-side frequency regulation by dynamically calculating model parameters based on TCL status and behavior.

Contribution

It presents a straightforward method for computing stochastic parameters of an equivalent battery model for TCL aggregation, improving upon existing approaches.

Findings

Effective tracking of frequency regulation signals demonstrated

Dynamic parameter calculation enhances model accuracy

Large-scale TCL aggregation successfully tested

Abstract

The potential of demand side as a frequency reserve proposes interesting opportunity in handling imbalances due to intermittent renewable energy sources. This paper proposes a novel approach for computing the parameters of a stochastic battery model representing the aggregation of Thermostatically Controlled Loads (TCLs). A hysteresis based non-disruptive control is used using priority stack algorithm to track the reference regulation signal. The parameters of admissible ramp-rate and the charge limits of the battery are dynamically calculated using the information from TCLs that is the status (on/off), availability and relative temperature distance till the switching boundary. The approach builds on and improves on the existing research work by providing a straight-forward mechanism for calculation of stochastic parameters of equivalent battery model. The effectiveness of proposed approach is demonstrated by a test case having a large number of residential TCLs tracking a scaled down real frequency regulation signal.