Research Article
Automatic Response Method of Grid Demand Under the Background of New Energy Consumption
@INPROCEEDINGS{10.1007/978-3-030-94185-7_6, author={Wen-tao Xu and Chong-wei Ma and Guo-bin Wang and Ye-fei Li and Hui Liu}, title={Automatic Response Method of Grid Demand Under the Background of New Energy Consumption}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I}, proceedings_a={IOTCARE}, year={2022}, month={6}, keywords={New energy consumption Grid demand response Incentive mechanism Smart grid}, doi={10.1007/978-3-030-94185-7_6} }- Wen-tao Xu
Chong-wei Ma
Guo-bin Wang
Ye-fei Li
Hui Liu
Year: 2022
Automatic Response Method of Grid Demand Under the Background of New Energy Consumption
IOTCARE
Springer
DOI: 10.1007/978-3-030-94185-7_6
Abstract
Smart grid demand response can reduce the peak power demand of the grid, improve the stability and reliability of grid operation, especially the ability of the grid to accept intermittent renewable energy generation through demand response. In view of the abnormalities in the analysis of user demand caused by the traditional automatic response method of power grid demand, which caused large fluctuations in electricity prices, the automatic response method of grid demand under the background of new energy consumption was designed. Constructing a power grid model as the research object, constructing a time-of-use electricity price model according to the characteristics of power grid operation, and setting demand response incentive methods. Analyze the characteristics of user power consumption and grid load, and design the automatic response algorithm for grid demand. At this point, the design of the automatic response method for grid demand in the context of new energy consumption has been completed. Construct an experimental link, and the experimental verification shows that the new response method can effectively control electricity price fluctuations and improve user satisfaction.
