A Methodology to Forecast the Control Capacity and Control Payback of a Population of Thermostatically Controlled Appliances in a Demand-Side Management
作者： Pegah Yazdkhasti , Chris P. Diduch , Ahmad Elkhateb
DOI: 10.1109/ICJECE.2020.2990185
关键词: Population 、 Reliability engineering 、 Interval (mathematics) 、 Reliability (computer networking) 、 Grid 、 Control theory 、 Controllability 、 Electric power system 、 Control (management)
摘要: Integrating renewable resources, such as wind and solar into the existing power system, has introduced new challenges due to their rapid fluctuations, which tends decrease reliability of grid. One method cope with this uncertainty variability in generation is managing demand side through direct load control. Thermostatically controlled appliances can play a significant role for purpose; however, system operator requires reliable estimation about magnitude how much it be shifted. This article presents novel methodology formulate forecast control capacity population thermostatically appliances. In addition that, provide an on long follow desired level consumption aggregated would change once controller stops (i.e., payback). The performance proposed was evaluated using numerical simulator loads. Simulation results show that controllability terms minimum maximum achievable load, time interval hold at certain level, uncontrolled behave after period.
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