Temperature control load frequency response control method based on user satisfaction and reinforcement learning
The invention relates to a temperature control load frequency response control method based on user satisfaction and reinforcement learning. The method comprises a temperature control load user satisfaction quantification method and deep reinforcement learning agent model construction. Two control m...
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Main Authors | , , , , , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
14.07.2023
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Subjects | |
Online Access | Get full text |
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Summary: | The invention relates to a temperature control load frequency response control method based on user satisfaction and reinforcement learning. The method comprises a temperature control load user satisfaction quantification method and deep reinforcement learning agent model construction. Two control modes of direct switch control and temperature setting control of a temperature control load are considered, an energy storage index and an uncomfortable degree index are respectively defined as load adjusting indexes, and a fuzzy comprehensive evaluation method is adopted to evaluate user satisfaction; a multi-agent model of a temperature control load is established based on a flexible action device-discriminator algorithm, user satisfaction and a frequency adjustment error are weighted to establish a comprehensive evaluation index, the comprehensive evaluation index is used as an objective function of agent optimization, and an agent updates parameters according to local temperature control load information and fr |
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Bibliography: | Application Number: CN202310367857 |