Technologies and Practical Implementations of Air-conditioner Based Demand Response

被引:43
|
作者
Waseem, Muhammad [1 ]
Lin, Zhenzhi [1 ]
Ding, Yi [1 ]
Wen, Fushuan [1 ,2 ]
Liu, Shengyuan [1 ]
Palu, Ivo [2 ]
机构
[1] Zhejiang Univ, Sch Elect Engn, Hangzhou 310027, Peoples R China
[2] Tallinn Univ Technol, Dept Elect Power Engn & Mechatron, EE-19086 Tallinn, Estonia
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Load management; Power demand; Smart grids; Heat sinks; Air-conditioner (AC); commercial load; cooling demand; demand response (DR); energy consumption; residen-tialload; DIRECT LOAD CONTROL; MODEL-PREDICTIVE CONTROL; THERMOSTATICALLY CONTROLLED LOADS; ARTIFICIAL NEURAL-NETWORK; ENERGY-CONSUMPTION; CONTROL STRATEGY; THERMAL COMFORT; COMMERCIAL BUILDINGS; SIDE MANAGEMENT; INDOOR AIR;
D O I
10.35833/MPCE.2019.000449
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Nowadays, the most notable uncertainty for an electricity utility lies in the electrical demand of end-users. Demand response (DR) has acquired considerable attention due to uncertain generation outputs from intermittent renewable energy sources and advancements of smart grid technologies. The percentage of the air-conditioner (AC) load over the total load demand in a building is usually very high. Therefore, controlling the power demand of ACs is one of significant measures for implementing DR. In this paper, the increasing development of ACs, and their impacts on power demand are firstly introduced, with an overview of possible DR programs. Then, a comprehensive review and discussion on control techniques and DR programs for ACs to manage electricity utilization in residential and commercial energy sectors are carried out. Next, comparative analysis among various programs and projects utilized in different countries for optimizing electricity consumption by ACs is presented. Finally, the conclusions along with future recommendations and challenges for optimal employment of ACs are presented in the perspective of power systems.
引用
收藏
页码:1395 / 1413
页数:19
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