Title :
Optimal smart grid tariffs
Author :
Huang, Longbo ; Walrand, Jean ; Ramchandran, Kannan
Abstract :
In this paper, we develop a low-complexity scheme OpTar for designing optimal power tariffs. OpTar provides an easy way for the utility companies to adjust their power prices, and allows the users to pre-plan their power consumption. OpTar is robust against system dynamics including time-varying power market conditions and user preferences. It can be implemented both with and without communication between the utility company and the consumers, and requires minimum additional hardware/software. We show that OpTar can significantly outperform the commonly used uniform pricing schemes. The pricing design approach developed in the paper can also be used in other systems with dynamic demand and non-storable resources.
Keywords :
optimisation; power consumption; power markets; pricing; smart power grids; tariffs; OpTar; dynamic demand; nonstorable resource; optimal smart grid tariffs; power consumption preplannning; power price; time-varying power market conditions; Aggregates; Algorithm design and analysis; Companies; Power demand; Pricing; Procurement;
Conference_Titel :
Information Theory and Applications Workshop (ITA), 2012
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-1473-2
DOI :
10.1109/ITA.2012.6181799