Aggregate Control Strategy for Thermostatically Controlled Loads with Demand Response

Xiao Zhou, Jing Shi, Yuejin Tang, Yuanyuan Li, Shujian Li and Kang Gong
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Xiao Zhou: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, No.1037 Luoyu Road, Wuhan 430074, China
Jing Shi: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, No.1037 Luoyu Road, Wuhan 430074, China
Yuejin Tang: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, No.1037 Luoyu Road, Wuhan 430074, China
Yuanyuan Li: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, No.1037 Luoyu Road, Wuhan 430074, China
Shujian Li: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, No.1037 Luoyu Road, Wuhan 430074, China
Kang Gong: Yichang Power Supply Company, Hubei Power Supply Company of State Gird, 117 Yanjiang Road, Yichang 443000, China

Energies, 2019, vol. 12, issue 4, 1-16

Abstract: The improvement of intelligent appliances provides the basis for the demand response (DR) of residential loads. Thermostatically controlled loads (TCLs) are one of the most important DR resources and are characterized by a large load and a high degree of control. Due to its distribution characteristic, the aggregation of TCLs and their control are key issues in implementing the load control for the DR. In this study, we focus on air conditioning loads as an example of TCLs and propose a simple and transferable aggregate model by establishing a virtual house model, which accurately captures the aggregate flexibility. The deviation of the aggregate model is analyzed for the model evaluation. An air conditioning DR control scheme is proposed based on the aggregate model; it has the advantage of simple implementation and convenient control for the individual units. Simulations are performed in Gridlab-D to evaluate the accuracy and effectiveness of the proposed model and control method.

Keywords: Demand Response; Thermostatically Controlled Loads; Aggregate Control; Air Conditioning loads; Gridlab-D (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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