Impact of Uncertain Parameters on TCL Power Capacity Calculation via HDMR for Generating Power Pulses

Abstract

Thermostatically controlled loads (TCLs) have attracted additional in power system operations, is mostly because of their flexibility in supplying demand response (DR). So, it is vital to identify accurate parameters for aggregated TCL populations, which is often a cumbersome task in practical applications due to inaccurate power metering, end-users’ random behavior for consuming energy in real-time, and privacy issues pertaining to the availability and the collection of individuals’ data. This paper investigates the TCL power capacity calculation strategy and the impact of uncertain parameters on TCL power capacity for generating power pulses. First, a TCL power capacity calculation strategy which links on–off switching states with temperature set-point adjustments is proposed to remove TCLs that are deemed unsuitable for DR dispatch as they satisfy end-users’ comfort needs. Second, high dimensional model representative (HDMR) is applied to identify important parameters for quantifying the impact of uncertain heterogeneous parameters on TCL power capacities. In addition, a fast framework is provided for reducing the computation burdens in capacity calculation. Simulation results demonstrate that: 1) proposed TCL power capacity calculation strategy can maintain end-users in respective comfort ranges; 2) important parameters can be effectively identified by HDMR; and 3) TCL power capacity can be calculated quickly via HDMR in various dispatch periods.