Edge-End Based Demand Response System of Aggregated Residential Load: Case Study

摘要

Residential load is widely distributed and the monomer capacity is small, but the proportion of total energy consumption on the occupied demand side has gradually increased recently. Meanwhile, the rapid development of Internet of things technology provides the possibility of fine regulation of residential load. In order to open up the refined and friendly interaction channel between distribution system operators and residents, this paper proposes an edge-end coordinated aggregated residential load demand response (DR) system. Firstly, the design framework, software, hardware and functions of the system are described, and then two applications of NILM and residential DR and their actual operation effects are introduced. The system realizes the localized storage and analysis of residential privacy data, and realizes the mining of residential DR potential.

出版物
2022 5th International Conference on Energy, Electrical and Power Engineering
马骏超
马骏超
博士研究生
于鹤洋
于鹤洋
博士研究生

于鹤洋,博士研究生在读,研究方向为电力系统灵活资源的深度感知和聚合调控、人工智能与物联网在电力系统中的应用。

耿光超
耿光超
副教授 | 博士生导师

耿光超,工学博士,浙江大学电气工程学院副教授、博士生导师,电机工程学系副主任,电力系统自动化所副所长,电气工程学院特聘助理,IEEE高级会员。