LAPSE

LAPSE:2019.0394
Published Article
LAPSE:2019.0394
Research on a Micro-Grid Frequency Modulation Strategy Based on Optimal Utilization of Air Conditioners
Qingzhu Wan, Yuan Bian, Yalan Chen
February 27, 2019
With the proportion of air conditioners increasing gradually, they can provide a certain amount of frequency-controlled reserves for a micro-grid. Optimizing utilization of air conditioners and considering load response characteristics and customer comfort, the frequency adjustment model is a quadratic function model between the trigger temperature of the air conditioner compressor, and frequency variation is provided, which can be used to regulate the trigger temperature of the air conditioner when the micro-grid frequency rises and falls. This frequency adjustment model combines a primary frequency modulation method and a secondary frequency modulation method of the energy storage system, in order to optimize the frequency of a micro-grid. The simulation results show that the frequency modulation strategy for air conditioners can effectively improve the frequency modulation ability of air conditioners and frequency modulation effects of a micro-grid in coordination with an energy storage system.
Keywords
energy storage system, frequency control, micro-grid, thermostatically controlled loads
Suggested Citation
Wan Q, Bian Y, Chen Y. Research on a Micro-Grid Frequency Modulation Strategy Based on Optimal Utilization of Air Conditioners. (2019). LAPSE:2019.0394
Author Affiliations
Wan Q: Collaborative Innovation Center of Key Power Energy-Saving Technologies in Beijing, North China University of Technology, Beijing 100144, China
Bian Y: Collaborative Innovation Center of Key Power Energy-Saving Technologies in Beijing, North China University of Technology, Beijing 100144, China
Chen Y: Collaborative Innovation Center of Key Power Energy-Saving Technologies in Beijing, North China University of Technology, Beijing 100144, China
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Journal Name
Energies
Volume
9
Issue
12
Article Number
E1085
Year
2016
Publication Date
2016-12-19
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9121085, Publication Type: Journal Article
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LAPSE:2019.0394
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doi:10.3390/en9121085
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Feb 27, 2019
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CC BY 4.0
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[v1] (Original Submission)
Feb 27, 2019
 
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Feb 27, 2019
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Original Submitter
Calvin Tsay
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