New Aggregation Methodology Applied to Residential Air-Conditioner Loads

摘要

The development and evaluation of a low-order probabilistic model of large signal behavior of aggregate air conditioner loads is presented. The model demonstrates that severe load oscillations can occur for large signal disturbances (outages). The sensitivity of the large signal behavior to the driving stochastic processes (e.g., outdoor temperature) is demonstrated. The sensitivities of the large signal behavior to the heat transfer coefficient of the house, variation of voltage and frequency and size of air conditioner are studied. The model also demonstrates that the large signal behavior can be very sensitive to the thermostat settings. The model is based on a Markov chain approximation to the indoor-temperature distribution; this approximation allows easy computation of the model parameters. (ERA citation 08:039051)