ISSN 1000-1026
CN 32-1180/TP
  • ISSN 1000-1026
  • CN 32-1180/TP

Citation: WANG Jianxiao,ZHONG Haiwang,XIA Qing,YANG Shengchun.Model and Method of Demand Response for Thermostatically-controlled Loads Based on Cost-benefit Analysis[J].Automation of Electric Power Systems,2016,40(5):45-53. DOI: 10.7500/AEPS20150521009 copy

Model and Method of Demand Response for Thermostatically-controlled Loads Based on Cost-benefit Analysis

  • Received Date: May 21, 2015
    Accepted Date: October 09, 2015
    Available Online: January 11, 2016

  • Abstract:

        Traditional demand response (DR) research is based on the price elasticity of demand in economics. However, the elasticity can hardly be obtained for lack of historical data, leading to the difficulty in exactly reflecting customers’ response behavior. Therefore, an economy-driven model and a method of DR for thermostatically-controlled loads based on cost-benefit analysis are proposed. Take the ice storage equipment as an example. Customers’ investment behavior with respect to mid-term and long-term DR response is studied. According to historical operation data, customers’ consumption stickiness is recognized and an economy-driven DR model is developed. The DR model is optimized in light of the annual load curve. Then the scenario reducing technique is employed to extract typical annual scenarios, thereby decreasing model dimensions and improving computational efficiency. After analyzing the cost and benefit of DR, the customer DR function is generated, by which the customers’ response behavior is accurately reflected. The case study based on an industrial customer in a province shows that the model and method proposed can recognize customers’ consumption stickiness, generate DR functions and exactly reflect customers’ response behavior, while achieving scientific decision making for mid-term and long-term DR investment. This work is supported by National Natural Science Foundation of China (No. 51537005) and State Grid Corporation of China (No. DZ71-14-042).

  • Keywords:

    demand response (DR); cost-benefit analysis; thermostatically-controlled loads; ice storage; consumption stickiness; scenario reduction

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