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Air-Conditioning Resource Management and Control Method based on Cloud Platform for Wind Power Consumption

School of Electric and Electronic Engineering, North China Electric Power University, Beijing 102206, China
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Processes 2019, 7(7), 467; https://doi.org/10.3390/pr7070467
Received: 9 June 2019 / Revised: 15 July 2019 / Accepted: 16 July 2019 / Published: 19 July 2019
(This article belongs to the Special Issue Neural Computation and Applications for Sustainable Energy Systems)
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Abstract

Air-conditionings have energy storage functions. Through reasonable aggregation control, the output tracking can be implemented for wind power with stronger fluctuation to enhance its utilization rate. Cloud technology and intelligent appliances enable the appliance vendor to implement information interaction with the air-conditioning through cloud platforms to realize flexible regulation. In this paper, a management and control method of air-conditioning based on cloud platform is established. Based on this structure, the air-conditionings are divided into several aggregation groups according to the similarity of parameters, and each group completes the consumption task collaboratively. The consumption evaluation model of the air-conditioning group is established. On this basis, the allocation problem on consumption task for the aggregated group is constructed to implement the optimal solution under the condition of guaranteeing the degree of completion and user comfort. Each group implements the control for air-conditioning inside the group through the sliding mode control model. The simulation experiment verifies that the algorithm can effectively follow the output of clean energy, while intervening less in the air-conditioning operation. View Full-Text
Keywords: air-conditioning management; cloud control; wind power tracking; air-conditioning grouping collaborative control air-conditioning management; cloud control; wind power tracking; air-conditioning grouping collaborative control
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Liang, K.; Yu, J.; Wu, X. Air-Conditioning Resource Management and Control Method based on Cloud Platform for Wind Power Consumption. Processes 2019, 7, 467.

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