System Frequency Control Method Driven by Deep Reinforcement Learning and Customer Satisfaction for Thermostatically Controlled Load

System Frequency Control Method Driven by Deep Reinforcement Learning and Customer Satisfaction for Thermostatically Controlled Load

The intermittence and fluctuation of renewable energy aggravate the power fluctuation of the power grid and pose a severe challenge to the frequency stability of the power system. Thermostatically controlled loads can participate in the frequency regulation of the power grid due to their flexibility...

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Bibliographic Details
Main Authors: Rusi Chen, Haiguang Liu, Chengquan Liu, Guangzheng Yu, Xuan Yang, Yue Zhou
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
thermostatically controlled load
frequency regulation
customer satisfaction
soft actor–critic
energy storage index
discomfort index
Online Access:https://www.mdpi.com/1996-1073/15/21/7866

Internet

https://www.mdpi.com/1996-1073/15/21/7866

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