Abstract
With widely deployed electrical heating appliances and electrical vehicles (EVs), community-level demand response will provide great benefits for reducing renewable power generation (RPG) curtailment and flattening demand profile through peak clipping and trough filling, especially through coordinated integration and regulation. It is desirable to characterise real-time power demand of the aggregated system and operating status of targeting appliances simultaneously for effective coordinated control. An event-based aggregated demand modelling method is proposed in this paper to integrate the power demand profiles with status information of electrical appliances, on which advanced analytical approaches could be applied for control design optimisation and system performance evaluation. The concept of event is adopted to characterise thermostatically controlled loads (TCLs) and EVs in a unified way. Thus, same queue-theory based structure with different parameters is used to model different types of loads. Ideally, the parameters identifying the non-homogeneity and periodicity of each load type are estimated from real measurements. However, to overcome the difficulties in obtaining real measurements of TCLs, a physical-statistical data acquisition approach is used. A hypothesis test is conducted to validate that the proposed model can capture the operating status of all electrical appliances.
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