"Sizing Energy Storage System for Energy Arbitrage in Extreme Fast Char" by Waqas Ur Rehman, Rui Bo et al.
 

Abstract

This paper proposes a non-linear programming (NLP) model to optimally size the energy storage system (ESS) and obtain an optimal energy management for energy arbitrage of an extreme fast charging station (XFCS) for electric vehicles (EVs), with minimized total cost of XFCS operation and ESS investment. Different from most reported work on sizing the ESS for EV charging stations, this paper proposes a pragmatic approach to model the ESS life degradation and accurately count the ESS cycles. Moreover, this work incorporates the peak demand charges in the operational cost of the charging station which are often overlooked in the literature. The proposed model is formulated and solved using AIMMS. Finally, a thorough sensitivity analysis is performed to offer insights into how different input parameters impact the ESS sizing and savings from the energy arbitrage perspective.

Department(s)

Electrical and Computer Engineering

Comments

U.S. Department of Energy, Grant DE-EE0008449

Keywords and Phrases

degradation modeling; energy arbitrage; energy sizing; energy storage system; power sizing; sensitivity analysis

International Standard Book Number (ISBN)

978-166540507-2

International Standard Serial Number (ISSN)

1944-9933; 1944-9925

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

01 Jan 2021

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