A Demand-Side Adjustable Resource Response Interaction Capacity Assessment Method Based on Scale-Space Theory

• Published in: 2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2) pp. 2223 - 2227
• Main Authors: Tianyue, Tang, Bin, Li, Songsong, Chen, Feixiang, Gong, Ping, Zhang, Xinyu, Xiang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 15-12-2023
• Subjects: Convolution; demand response; Energy Internet; Feature extraction; Fluctuations; gaussian algorithm; image feature extraction; Image matching; interactive capacity assessment; Power supplies; scalar space theory; System integration
• DOI: 10.1109/EI259745.2023.10512891

Aiming at the problems such as the continuous increase of peak-valley difference of electric load, the fluctuation of new energy output and the tension of power supply at peak, considering the characteristics of image feature extraction and the demand response characteristics of adjustable resources, a method of evaluating the response and interaction ability of demand-side adjustable resources based on the theory of scale space is proposed. By utilizing the load data input into the scale space Gaussian kernel for convolution operation, the load characteristics of demand-side adjustable resources are obtained based on image matching, and the interactive capability of adjustable resource response is more conveniently portrayed. This has important application value for integrating decentralized demand response resources and awakening the potential of network-load interaction.