the proportion of air-conditioning in the peak-load increases year by year. Through a reasonable regulation
the participation of users in demand response can effectively play the potential and commodity value of response resources. To this end
the operation mode of air-conditioning service based on the business of load aggregator is put forward. The operation mode includes control strategy and pricing compensation mechanism. Considering the needs of comfort
the service status Ⅰ(select file)and status Ⅱ(shift file)are set on the basis of the sub-program to realize the adjustable potential of air-conditioning in depth. Meanwhile
in the process of making pricing compensation mechanism
“loss of load” default event of the service is defined
and the index to quantify the service function is formulated
which can account for the goods attributes of service
so as to share the benefit with users. The case study of the service control strategy and benefit sharing mechanism verify the feasibility and rationality of the operation mode.
Joint Bidding and Pricing Optimization Method for Aggregator Demand Response Considering Differences of User Response
Master-Slave Game Strategy for Electric Heating Load Cluster Considering Differences of Heterogeneous Household Types and Aggregation Structure
Regulation Potential Evaluation and Control Strategy of Air Conditioning Load Considering Multiple Rotation Regulation
Blockchain-based Multi-party Co-governance Transaction Mode for Load Aggregator and Residential Users
Related Author
LI Xiongfei
LI Kangping
HUANG Chunyi
AI Qian
HUAI Wenming
ZHANG Yuyang
YANG Mao
WANG Jinxin
Related Institution
College of Smart Energy, Shanghai Jiao Tong University
Shanghai Non-carbon Energy Conversion and Utilization Institute
School of Electrical Engineering, Shanghai Jiao Tong University
China Electric Power Equipment Co., Ltd.
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)