• 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 ›› 2016, Vol. 37 ›› Issue (2): 63-68.doi: 10.3969/j.issn.1000-7229.2016.02.009

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Customer Responsive Behavior Based on Real-Time Pricing

HUANG Haixin1 2, DENG Li1, WEN Feng1, WANG Fei3   

  1. 1. Shenyang Ligong  University, Shenyang 110159, China; 2. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China; 3. Guodian Science and Technology Research Institute, Shenyang 110001, China
  • Online:2016-02-01
  • Supported by:

    Project supported by National Natural science foundation of China(61233007

Abstract:

With the development of smart grid and the deregulation of electricity market, the demand response (DR) has been widely used in the operating mode of power market. Many countries have introduced the realtime pricing (RTP) strategies of DR to improve the efficiency of power system and the ability of power market. The careful analysis of the users response to the RTP is significant for the implementation of DR strategies. Therefore, we propose a regression model to learn the price elasticity of electricity demand (PED) based on the PED model and simulate the responsive behaviors of users. Experimental results show that comparing with the content PED obtained by tradition questionnaire, the learned PED can effectively meet the demand, and the regression model can overcome the problems both in time and space and achieve the analysis of users responsive behaviors efficiently, which can provide decision support for the realtime pricing strategy.

Key words: demand response (DR), real-time pricing (RTP), price elasticity of electricity demand (PED), regression model

CLC Number: