Title :
Clustering-based methodology for optimal residential time of use design structure
Author :
Maigha ; Crow, Mariesa L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
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.
Keywords :
government policies; load management; pattern clustering; power markets; power system economics; pricing; American Recovery and reinvestment Act; Energy Policy Act; clustering-based methodology; critical peak pricing; customer level; demand response; economic benefits; electricity markets; historical load profiles; load reshaping; optimal residential time-of-use design structure; price responsive demand market; real-time prices; seasonal time-of-use; seasonal variations; weekday load profiles; weekend load profiles; Clustering algorithms; Economics; Gaussian mixture model; Measurement; Pricing; Real-time systems; Vehicle dynamics;
Conference_Titel :
North American Power Symposium (NAPS), 2014
Conference_Location :
Pullman, WA
DOI :
10.1109/NAPS.2014.6965410
