Paper Info
Title
Pareto Optimal Operation of Distributed Battery Energy Storage Systems for Energy Arbitrage under Dynamic Pricing.
Abstract
The optimal operation of a distributed battery energy storage system (BESS) for energy arbitrage under dynamic pricing is studied in this paper, and the Pareto optimal arbitrage policy that balances the economic value and lifetime tradeoff of the BESSis obtained. Specifically, the lifetime performance of the BESS is represented by its average lifetime, i.e., the average operational duration within which its capacity stays above a certain threshold, and the value performance of the BESS is defined as the total average arbitrage value within its entire lifetime. We propose a constrained stochastic shortest path (CSSP) model to characterize the optimal value-lifetime performance pair. By exploiting the hidden structure of this CSSP problem, an efficient parallel algorithm is proposed to compute the optimal policy. We further prove the condition under which the optimal policy is Pareto optimal. This implies that the achievable optimal value-lifetime performance pair is globally optimal as long as the system-wide utility is monotonically increasing in both the value performance and the lifetime performance. We validate our proposed model and algorithm via real battery specifications and electricity market data, and the results show promising insights for both infrastructure planning and operational management of BESSs in practice.
Year
DOI
Venue
2016
10.1109/TPDS.2015.2478785
IEEE Trans. Parallel Distrib. Syst.
Keywords
Field
DocType
Batteries,Pareto optimization,Economics,Discharges (electric),Markov processes
Electricity market,Mathematical optimization,Markov process,Shortest path problem,Parallel algorithm,Computer science,Dynamic pricing,Multi-objective optimization,Arbitrage,Battery (electricity)
Journal
Volume
Issue
ISSN
27
7
1045-9219
Citations 
PageRank 
References 
2
0.39
11
Authors
3
Name
Order
Citations
PageRank
Xiaoqi Tan19114.79
Yuan Wu253861.11
Danny H. K. Tsang394595.24