• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2018, Vol. 39 ›› Issue (2): 130-.doi: 10.3969/j.issn.1000-7229.2018.02.017

Previous Articles    

 Interaction Effect of Distribution Network and Users Based on   Thermostat Controlled Load Responding to Price Signals 

 WU Lei1,YU Jiancheng2,LI Siwei3,HU Qinge4,TANG Jia4,WANG Dan4 

 
  

  1.  (1.Electric Power Research Institute of State Grid Tianjin Electric Power Company, Tianjin 300384, China;
     2.State Grid Tianjin Electric Power Company, Tianjin 300010, China;3.Beijing Fibrlink Communications Co., Ltd.,   State Grid Information & Telecommunication Group, Beijing 100070, China;4.Key Laboratory of Smart Grid of   Ministry of Education, Tianjin University, Tianjin 300072, China) 
     
  • Online:2018-02-01
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Abstract:  ABSTRACT:  Under the condition of opening the electricity market, the implementation of price based demand response (DR) is conducive to fully mobilizing the enthusiasm of users, making them participate in load regulation and achieving the goal of peak load cutting in power system, maintaining its safe and economic operation. This paper takes the residential air conditioning model as the research object and establishes the mathematical model for the residential air conditioning load. Then the response characteristics of the monomer and the polymerization load are analyzed. On this basis, the linearized interactive demand response strategy of residential air conditioning based on real-time pricing (RTP) is applied to realize the active control of the load. Four indexes including the percentage of the temperature over upper limit time, the load reduction ratio during the peak period, the total active power reduction ratio and the network loss reduction ratio during the peak period are developed to quantify the impact of the strategy on the demand side and the power supply side. The simulation results show that without affecting the comfort of air conditioning users, the linearized interactive demand response strategy of residential air conditioning based on RTP can effectively achieve the role of peak cutting, reducing the feeder active power injection and system power loss.  

 

Key words:  KEYWORDS: electricity market, residential air conditioning model, real-time pricing (RTP), interactive demand response, peak load cutting and valley filling  

CLC Number: