期刊
IEEE TRANSACTIONS ON SMART GRID
卷 10, 期 4, 页码 4095-4106出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2018.2849321
关键词
Thermostatically controlled loads; aggregated model; state space model; demand response; regulation services
资金
- National Natural Science Foundation of China [51577029]
- Science and Technology Project of State Grid Corporation of China [SGJS0000YXJS1700312]
- Shanghai Power Company Program [52096017000B]
- China Scholarship Council
Thermostatically controlled loads (TCLs), which possess thermal inertia, have attracted additional attention for providing ancillary services to power systems. In this regard, the aggregation model for TCLs is critical for evaluating the performance and optimizing the control of a population of TCLs. We learn by theoretical analyses and simulations that the accuracy of the state space model in most cases is deteriorated by applying longer TCL dispatch periods. Thus, a modified aggregated TCL model is proposed and a new state transition matrix is derived in this paper to improve the TCL modeling accuracy for the provision of grid regulation services. The proposed control model for the aggregated TCL accounts for compressor time delays that would enhance the collective TCL behavior. A probabilistic control strategy is presented to reduce the adverse impacts on the durability of TCL compressors and communication requirements for implementing the TCL control signal. Simulation results demonstrate that the proposed aggregated TCL model with control signals can closely follow actual TCL behavior and the proposed control strategy can reduce the number of TCL switching for providing ancillary services to power systems.
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