Intraday Residential Demand Response Scheme Based on Peer-to-Peer Energy Trading

• Published in: IEEE transactions on industrial informatics Vol. 16; no. 3; pp. 1823 - 1835
• Main Authors: Liu, Weijia, Qi, Donglian, Wen, Fushuan
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.03.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Biological system modeling; Demand; Demand response; distributed energy resources; Disturbances; Economic impact; electricity market; Energy; Energy management; Energy resources; Energy storage; Heat pumps; Home appliances; Household appliances; Houses; intraday market; Load management; Peer-to-peer computing; peer-to-peer energy trading; Refrigeration; Renewable energy sources; Residential energy; Schedules; Storage units
• ISSN: 1551-3203; 1941-0050
• DOI: 10.1109/TII.2019.2929498

The intermittency introduced by the increasing integration of distributed renewable energy sources is challenging the efficient operation of residential distribution systems. A promising solution to tackle this challenge is the implementation of residential demand response through responsive household appliances such as heat pumps, refrigeration devices, and energy storage units. In this article, a peer-to-peer energy trading platform among residential houses is proposed to coordinate demand response schemes and level off potential generation/consumption disturbances in the hour-ahead intraday context. First, the day-ahead and intraday energy management models for residential houses are established considering the characteristics of responsive household appliances and energy storages. The discomfort and possible economic losses for performing demand responses are quantified with respect to the risk preferences of residential customers. The peer-to-peer energy trading platform is developed and a double-auction mechanism employed to promote the collaborative demand response schemes in the face of disturbances. An optimal bidding strategy of residential houses is also proposed. The feasibility of the proposed models and bidding strategy are verified through case studies. It is also illustrated that the residential demand response schemes and intraday peer-to-peer energy trading are effective in managing the uncertainties of load demand and renewable generation.