Multipurpose Strategy for Energy Storage System Based on Capital Asset Pricing Model With Ensemble Approach

In this paper, we present a multipurpose operation strategy for the efficient distribution of power to multiple power services from a single battery energy storage system (BESS). The proposed operation strategy uses a modern portfolio theory of financial engineering known as the capital asset pricin...

Full description

Bibliographic Details
Main Authors: Kazufumi Yuasa, Miki Ueshima, Tadatoshi Babasaki, Ichiro Omura
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9502094/
id doaj-b3616fcacf32466ab566543a7a5dcfe7
record_format Article
spelling doaj-b3616fcacf32466ab566543a7a5dcfe72021-08-04T23:00:24ZengIEEEIEEE Access2169-35362021-01-01910672510673310.1109/ACCESS.2021.31012079502094Multipurpose Strategy for Energy Storage System Based on Capital Asset Pricing Model With Ensemble ApproachKazufumi Yuasa0https://orcid.org/0000-0003-0386-7673Miki Ueshima1Tadatoshi Babasaki2Ichiro Omura3Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka, JapanService Development Division, NTT Facilities, Inc., Tokyo, JapanService Development Division, NTT Facilities, Inc., Tokyo, JapanGraduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka, JapanIn this paper, we present a multipurpose operation strategy for the efficient distribution of power to multiple power services from a single battery energy storage system (BESS). The proposed operation strategy uses a modern portfolio theory of financial engineering known as the capital asset pricing model to determine the allocation of BESS discharge power. Using this strategy, it is possible to quantitatively evaluate the expected return and risk in BESS operation and achieve the maximum expected return for the selected acceptable risk. Further, the predictability of the expected return is improved by applying the ensemble approach to the estimation model of the expected return. A one-year long performance test was conducted at the Japan Electric Power Exchange using the proposed operation strategy. A mean absolute error of approximately 2.0% between the expected return of the proposed strategy and the actual return was obtained, confirming the accuracy of the proposed strategy.https://ieeexplore.ieee.org/document/9502094/Batteriesoperations and managementportfoliosCAPMensemble approach
collection DOAJ
language English
format Article
sources DOAJ
author Kazufumi Yuasa
Miki Ueshima
Tadatoshi Babasaki
Ichiro Omura
spellingShingle Kazufumi Yuasa
Miki Ueshima
Tadatoshi Babasaki
Ichiro Omura
Multipurpose Strategy for Energy Storage System Based on Capital Asset Pricing Model With Ensemble Approach
IEEE Access
Batteries
operations and management
portfolios
CAPM
ensemble approach
author_facet Kazufumi Yuasa
Miki Ueshima
Tadatoshi Babasaki
Ichiro Omura
author_sort Kazufumi Yuasa
title Multipurpose Strategy for Energy Storage System Based on Capital Asset Pricing Model With Ensemble Approach
title_short Multipurpose Strategy for Energy Storage System Based on Capital Asset Pricing Model With Ensemble Approach
title_full Multipurpose Strategy for Energy Storage System Based on Capital Asset Pricing Model With Ensemble Approach
title_fullStr Multipurpose Strategy for Energy Storage System Based on Capital Asset Pricing Model With Ensemble Approach
title_full_unstemmed Multipurpose Strategy for Energy Storage System Based on Capital Asset Pricing Model With Ensemble Approach
title_sort multipurpose strategy for energy storage system based on capital asset pricing model with ensemble approach
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description In this paper, we present a multipurpose operation strategy for the efficient distribution of power to multiple power services from a single battery energy storage system (BESS). The proposed operation strategy uses a modern portfolio theory of financial engineering known as the capital asset pricing model to determine the allocation of BESS discharge power. Using this strategy, it is possible to quantitatively evaluate the expected return and risk in BESS operation and achieve the maximum expected return for the selected acceptable risk. Further, the predictability of the expected return is improved by applying the ensemble approach to the estimation model of the expected return. A one-year long performance test was conducted at the Japan Electric Power Exchange using the proposed operation strategy. A mean absolute error of approximately 2.0% between the expected return of the proposed strategy and the actual return was obtained, confirming the accuracy of the proposed strategy.
topic Batteries
operations and management
portfolios
CAPM
ensemble approach
url https://ieeexplore.ieee.org/document/9502094/
work_keys_str_mv AT kazufumiyuasa multipurposestrategyforenergystoragesystembasedoncapitalassetpricingmodelwithensembleapproach
AT mikiueshima multipurposestrategyforenergystoragesystembasedoncapitalassetpricingmodelwithensembleapproach
AT tadatoshibabasaki multipurposestrategyforenergystoragesystembasedoncapitalassetpricingmodelwithensembleapproach
AT ichiroomura multipurposestrategyforenergystoragesystembasedoncapitalassetpricingmodelwithensembleapproach
_version_ 1721221690666516480