Paper Info
Title
A Stochastic Shortest Path Framework for Quantifying the Value and Lifetime of Battery Energy Storage Under Dynamic Pricing.
Abstract
This paper aims at quantifying the value of a lifetime-constrained battery energy storage system (BESS) operated by a consumer who faces fluctuating electricity prices. We define the lifetime of the BESS as the serving duration within which the BESSs capacity stays above a certain threshold of its initial capacity and define the value of the BESS as the total peak-shaving value within its entire l...
Year
DOI
Venue
2017
10.1109/TSG.2015.2478599
IEEE Transactions on Smart Grid
Keywords
Field
DocType
Batteries,US Department of Defense,Heuristic algorithms,Electricity supply industry,Markov processes
Convergence (routing),Mathematical optimization,Markov process,Shortest path problem,Dynamic pricing,Parallel algorithm,Closed-form expression,Markov decision process,Engineering,Absorbing Markov chain
Journal
Volume
Issue
ISSN
8
2
1949-3053
Citations 
PageRank 
References 
2
0.46
6
Authors
3
Name
Order
Citations
PageRank
Xiaoqi Tan19114.79
Yuan Wu253861.11
Danny H. K. Tsang394595.24