A Simplified Regression Model for Dynamic Demand Response Process of Building Loads

2019 4th Asia Conference on Power and Electrical Engineering

能源学;电工学

Wang, Ke^1 ; Xu, Lei^1^3 ; Sun, Wenyu^1 ; Wang, Yifan^1 ; Xu, Lizhong^2

China Electric Power Research Institute, Nanjing

210003, China^1

Zhejiang Electric Power Corporation, Hangzhou

310007, China^2

Jiangsu Electric Power Company Taizhou Power Supply Company, Taizhou

225300, China^3

关键词: Building dynamics;    Calculation efficiency;    Calculation speed;    Dynamic demand response;    External conditions;    Real;    time scheduling;    Recovery periods;    Simulation error;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/486/1/012106/pdf
DOI  :  10.1088/1757-899X/486/1/012106

来源: IOP

【 摘 要 】

This paper presents a simplified regression model for building dynamic DR processes based on the mechanism model to facilitate the timely analysis, prediction and optimization of aggregation DR characteristics of a large-scale diversified building load. First, numerous simulations based on the mechanism model are performed to obtain sample data of building DR under different external conditions. Second, the key factors influencing the dynamic demand response process of a building - namely, the climbing period, stable response period and recovery period - are analyzed. Finally, this paper analyzes the simulation error and calculation efficiency of the proposed simplified regression model. Furthermore, the calculation speed is sufficiently fast to meet the requirements of real-time scheduling.