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...
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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 |
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1721221690666516480 |