Impact Factor:9.112
DOI number:10.1109/TII.2015.2446759
Journal:IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Key Words:ENERGY MANAGEMENT; MECHANISM; IMPACTS; SCHEME
Abstract:Time-based demand response (DR) enables industrial consumers to transfer their power consumption by following daily price curve. However, general time-based DR is basically a passive tariff. Utilities usually create general pricing tariff to the whole industrial consumers at the same voltage connection level. Under this situation, consumption transformation of all possible industries occurs together. It may reduce the effect of load characteristics improvement. This paper introduces a new pricing framework named active time-based (ATB) DR to overcome this weak point. Under this tariff, consumers are classified in details. Utilities select target consumers, communicate with them actively, and provide a specified price curve for the industries covered by target consumer group. With a practical survey, this paper implements ATB with the best behavioral scheme (BBS) model and industrial consumer attitude model. This paper includes a numerical case study on cement manufacturing for further analysis. Data acquisition, BBS simulation, consumer attitude estimation, and an investigation on electricity pricing are covered by this case study.
Note:SCI一区；2021年影响因子：9.112
Co-author:Loi Lei Lai
First Author:Fang Yuan Xu
Indexed by:Journal paper
Document Type:J
Volume:11
Issue:6
Page Number:1564-1573
ISSN No.:1551-3203
Translation or Not:no
Date of Publication:2015-12-01
Included Journals:SCI
Links to published journals:https://ieeexplore.ieee.org/document/7127007