Paper Info
Title
Demand Charge and Response with Energy Storage
Abstract
Commercial and industry (C& I) customers incur two types of electricity charges on their bills: one for the amount of energy usage and another one for the maximum demand during certain billing periods. The second charge type is known as Demand Charge (DC), which could account for over half of a customers' electricity bill. Those C& I customers often sign up for Demand Response (DR) programs to contribute to peak demand reduction as well as to receive incentives and rewards from participating in the programs. The critical factor of achieving both DR and DC reduction is to recognize the nature of these two types of problems and create an effective strategy that can handle them at the same time by which the benefits from DR incentives and DC reduction are maximized. This paper discusses the possible DR scenarios with DC reduction framework for C& I customers who use a Behind-the-Meter (BTM) energy storage and proposes a consistent real-time procedure of deciding battery's charging and discharging set points to solve the problem of maximizing the rewards by conducting DRs as well as the savings by reducing DC costs.
Year
DOI
Venue
2018
10.1109/SmartGridComm.2018.8587592
2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Keywords
Field
DocType
Demand Charge,Demand Response,Energy Storage,Behind-The-Meter (BTM) Application
Energy storage,Load management,Smart grid,Incentive,Computer science,Electricity,Operations research,Demand response,Computer network,Peak demand,Battery (electricity)
Conference
ISBN
Citations 
PageRank 
978-1-5386-7955-5
0
0.34
References 
Authors
2
2
Name
Order
Citations
PageRank
Kiyoshi Nakayama1277.51
Ratnesh K. Sharma248353.37