Thermostically Controlled Loads Control Strategy Based on State Estimator for Microgrid

The fluctuation of microgrid frequency is a crucial indicator of power quality. Small frequency fluctuations can impact electricity usage, while large fluctuations can jeopardize generator operation. For the problem of frequency and power fluctuation in the operation of microgrid, this paper propose...

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Bibliographic Details
Published in:2023 3rd International Conference on Energy Engineering and Power Systems (EEPS) pp. 533 - 538
Main Authors: Li, Tingting, Dong, Mi, Li, Li
Format: Conference Proceeding
Language:English
Published: IEEE 28.07.2023
Subjects:
Control systems
distributed consensus algorithm
Fluctuations
Kalamn filter
microgrid
Microgrids
Prediction algorithms
Simulation
Switching frequency
Temperature control
thermostatically controlled loads
Time-limited temperature control
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Summary:The fluctuation of microgrid frequency is a crucial indicator of power quality. Small frequency fluctuations can impact electricity usage, while large fluctuations can jeopardize generator operation. For the problem of frequency and power fluctuation in the operation of microgrid, this paper proposes using a Kalman filter to predict the optimal state of thermostatically controlled loads(TCLs) power variation, and subsequently using a distributed consistency algorithm to assign power to grouped TCLs. Finally, a temperature control method with time limits is employed for each group of TCLs according to the assigned power to regulate temperature. Simulation results validate the effectiveness of this approach in reducing grid frequency fluctuation and improving temperature control accuracy.
DOI:10.1109/EEPS58791.2023.10256972