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Optimization Configuration Method for Grid-Side Grid-Forming Energy Storage System Based on Genetic Algorithm.

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Title: Optimization Configuration Method for Grid-Side Grid-Forming Energy Storage System Based on Genetic Algorithm.
Authors: Qi, Yuqian1, qyq_062@tju.edu.cn, Che, Yanbo1, Liu, Liangliang1, Ni, Jiayu1, Zhang, Shangyuan1
Source: Energy Engineering; 2025, Vol. 122 Issue 10, p3999-4017, 19p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188428616
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Optimization Configuration Method for Grid-Side Grid-Forming Energy Storage System Based on Genetic Algorithm.
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  Data: <searchLink fieldCode="AU" term="%22Qi%2C+Yuqian%22">Qi, Yuqian</searchLink><relatesTo>1</relatesTo>, <i>qyq_062@tju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Che%2C+Yanbo%22">Che, Yanbo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Liu%2C+Liangliang%22">Liu, Liangliang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ni%2C+Jiayu%22">Ni, Jiayu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Shangyuan%22">Zhang, Shangyuan</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Energy+Engineering%22">Energy Engineering</searchLink>; 2025, Vol. 122 Issue 10, p3999-4017, 19p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188428616
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.32604/ee.2025.068054
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      – Code: eng
        Text: English
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        PageCount: 19
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      – TitleFull: Optimization Configuration Method for Grid-Side Grid-Forming Energy Storage System Based on Genetic Algorithm.
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            NameFull: Qi, Yuqian
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            NameFull: Che, Yanbo
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            NameFull: Liu, Liangliang
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            NameFull: Ni, Jiayu
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              M: 10
              Text: 2025
              Type: published
              Y: 2025
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              Value: 122
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              Value: 10
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