Modeling and Control of Aggregated Heterogeneous Thermostatically Controlled Loads for Ancillary Services

摘要: This paper presents a novel modeling and con- trol approach for the aggregation of large numbers hetero- geneous thermostatically controlled loads, such as refrigera- tors, electric water heaters, air conditioners, their usage Demand Response. Unlike traditional Re- sponse methods that act on time scales hours, this ap- proach is able to provide short-term (e.g., second-to-second) ancillary services, balancing frequency control. A statistical based Markov Chains used describe evolution probability mass in tem- perature state space. The transition matrix identified using information from population loads. predictive controller control aggregate loads it tracks signal. simulation example shows applicabil- ity realistic systems, includes com- parison performance depending available parameterization.