Research On The Experiment Design Of Residential Demand Response Behavior Analysis

How to make more power residential users which are enormously diverse and decentralized involved in the response is the key problem that demand response behavior research is facing. The research of residential demand response, as an interdiscipline, is necessary to fusion engineering, economic and social research methods. Most European countries adopt the method of pilot experiment to analyze the demand response behavior. This paper analyses the characteristics of residential users with the idea of Living Lab experimental science, makes an overall consideration and systematic framework design, and carries out an in-depth study on the key problems of experimental construction.This paper firstly commences with a brief overview of existing trials experience on RDR trail and assessment with the aim of understanding the characteristics of the RDR behavior analysis. It set up a Living Lab interactive model framework referenced to the information feedback mechanism research achievements in developed countries. Secondly, it designed the experimental environment construction system based on the methods of Top-down and Bottom-up. The macro external socio-economic factors extracted by Top-down model are used as classification indexes for test scenarios setting, the micro multi-scale individual household lifestyle characters defined by Bottom-up model are used as classification indexes for customer segmentation to make a systematic category for more full representation customer samples selection; And it make a decomposition analysis of multi time scale and multi dimension for the information interaction mechanism from small scale pilot experiments, so that it could promote the results more efficiency and reasonable,and then provide the basis for policy-making; Finally, considering of the actual situation that demand response behavior research in China, this paper builds a Living Lab iterative model in one province as the background, then through analyzing the example, combined with the existing actual data, explore the feasibility of experimental program designed in this paper and verify the index and model validity.