Assessment of air conditioning load aggregation response potential considering multiple factors

As an important source of peak load, air conditioning plays an important role in alleviating the operating pressure of the power grid by reasonably controlling it through demand response. First, a baseline load forecasting method for residential user demand response under time-of-use electricity prices is proposed. The impact of electricity price fluctuations on CBL is considered from the peak and valley attributes and price differences of the period to be predicted, and historical load and temperature data are used as input features, using various regression methods such as Multiple Linear Regression (MLR) to predict CBL. Secondly, combined with the thermostatically controlled loads (TCLs) control method based on temperature set value adjustment, the impact of user comfort is considered, the adjustment characteristics are analyzed, and the response potential of TCLs is evaluated.