NDLI: A Two-Level Optimal Scheduling Strategy for Central Air-Conditioners Based on Metal Model with Comprehensive State-Queueing Control Models

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Correction: Halil, B.; Gökhan, S. Numerical Investigation of the Effect of Variable Baffle Spacing on the Thermal Performance of a Shell and Tube Heat Exchanger. Energies 2017, 10, 1156

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A Two-Level Optimal Scheduling Strategy for Central Air-Conditioners Based on Metal Model with Comprehensive State-Queueing Control Models

Content Provider	MDPI
Author	Qi, Yebai Wang, Dan Lan, Yu Jia, Hongjie Wang, Chengshan Liu, Kaixin Hu, Qing’e Fan, Menghua
Abstract	Unlike some thermostatically controlled appliances (TCAs) with small capacities, Central Air-conditioner (CAC) has huge potential for demand response because of its large capacity. This paper presents a new CAC control strategy under multiple constraints. The CAC is modeled by three main modules: CAC central unit, water pumps, and temperature simulation of terminal users. The CAC’s power consumption is mainly determined by users’ load ratio. As the information and communication system have become the central nervous system of the smart grid, big data analysis is of great significance. Assuming that reliable two-way communication systems are preset, an integrated parameter priority list (IPPL) control strategy is used to control and monitor CAC. A new intelligent algorithm, Space Exploration and Unimodal Region Elimination (SEUMRE) algorithm, is introduced for solving the optimization problem of demand response targets generation under multiple constraints with the help of big data analysis. In this paper, influences and constrain factors, such as price and users’ comfortable levels are taken into account to satisfy the need of actual situation. Simulation results show that the proposed approach, when comparing with other typical optimization algorithms, yields better performances and efficiency.
File Size	7490560
File Format	PDF
e-ISSN	19961073
DOI	10.3390/en10122133
Journal	Energies
Issue Number	12
Volume Number	10
Language	English
Publisher Date	2017-12-14
Access Restriction	Open
Subject Keyword	central air-conditioner demand response multiple constraints microgrids intelligent algorithm
Content Type	Text
Resource Type	Article

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