Abstract
A price responsive demand (PRD) market has been perceived as the future of electricity markets with the capability of achieving economic benefits. It lays the foundation of demand response at the customer level. Time of use structures have been implemented widely to achieve load reshaping. This paper introduces a clustering-based methodology for obtaining optimal time of use structures (optimal number of levels and rate durations) based on historical load profiles and real-time prices. The study takes into account variation in weekday and weekend load profiles and also seasonal variations. A new hybrid policy that bridges the gap between seasonal time-of-use and critical peak pricing has been proposed.
Recommended Citation
Maigha and M. L. Crow, "Clustering-Based Methodology for Optimal Residential Time of Use Design Structure," 2014 North American Power Symposium, NAPS 2014, article no. 6965410, Institute of Electrical and Electronics Engineers, Nov 2014.
The definitive version is available at https://doi.org/10.1109/NAPS.2014.6965410
Department(s)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
978-147995904-4
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
21 Nov 2014
