Paper Info
Title
Designing a residential hybrid electrical energy storage system based on the energy buffering strategy
Abstract
Due to severe variation in load demand over time, utility companies generally raise electrical energy price during periods of high load demand. A grid-connected hybrid electrical energy storage (HEES) system can help residential users lower their electric bills by storing energy during low-price hours and releasing the stored energy during high-price hours. A HEES system consists of different types of electrical energy storage (EES) elements, utilizing the benefits of each type while hiding their weaknesses. This paper presents a residential energy management system to maximize the annual profits on residential electric bills, based on a HEES system comprised of a lead-acid battery bank as the main storage bank and a Li-ion battery bank as the energy buffer. We first derive the optimal daily energy management policy based on energy buffering to minimize the daily energy cost. Next, we find the near-optimal design specifications of the energy management system, aiming at maximizing the amortized annual profits under practical constraints. We show that this system achieves averagely 11.10% more profits compared to the none-buffering HEES system.
Year
DOI
Venue
2013
10.1109/CODES-ISSS.2013.6659019
CODES+ISSS
Keywords
Field
DocType
lead acid batteries,energy buffering strategy,electrical energy storage,energy buffer,grid-connected hybrid electrical energy,storing energy,electric bill savings,energy management,daily energy cost,hees system,main storage bank,electrical energy price,optimal daily energy management,lithium-ion battery bank,residential hybrid electrical energy,residential hybrid electrical energy storage system,energy management system,energy management systems,residential energy management system,battery storage plants,storage system,hybrid electrical energy storage system,grid-connected hybrid electrical energy storage system,lead-acid battery bank
Energy storage,Accumulator (energy),Energy management,Computer science,Lead–acid battery,Electric potential energy,Real-time computing,Grid energy storage,Energy management system,Pumped-storage hydroelectricity,Reliability engineering
Conference
ISBN
Citations 
PageRank 
978-1-4799-1417-3
3
0.43
References 
Authors
3
6
Name
Order
Citations
PageRank
Di Zhu1827.40
Siyu Yue2627.21
Yanzhi Wang31082136.11
Younghyun Kim454051.72
Naehyuck Chang51985185.85
Massoud Pedram678011211.32