Demand response capability assessment method for intelligent buildings based on recursive least squares estimation

Abstract Fully tapping adjustable load demand response capabilities is necessary to guide massive and dispersed demand‐side resources to participate in power dispatching operations. This study considers intelligent buildings (IBS) as the research object and proposes an adjustable load demand response capability assessment method. First, response capability assessment indicators, including adjustment power, adjustment response time, and adjustment sustainable time, are established based on the technical characteristics of adjustable loads. Second, the heating, ventilation, and air conditioning system model is established for IBS. Based on this, an intelligent building is used as an adjustable load unit for parameter identification using the recursive least squares estimation method. Finally, the response capability of the intelligent building is assessed based on the identified data and established response capability assessment indicators that can provide support for power dispatch.