Study on BESS Charging and Discharging Scheduling Using Particle Swarm Optimization Article Swipe
Hyang-A Park
,
Seul-Ki Kim
,
Eung-Sang Kim
,
Jungwon Yu
,
Sungshin Kim
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.5370/kiee.2016.65.4.547
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.5370/kiee.2016.65.4.547
Analyze the customer daily load patterns, be used to determine the optimal charging and discharging schedule which can minimize the electrical charges through the battery energy storage system(BESS) installed in consumers is an object of this paper. BESS, which analyzes the load characteristics of customer and reduce the peak load, is essential for optimal charging and discharging scheduling to save electricity charges. This thesis proposes optimal charging and discharging scheduling method, using particle swarm optimization (PSO) and penalty function method, of BESS for reducing energy charge. Since PSO is a global optimization algorithm, best charging and discharging scheduling can be found effectively. In addition, penalty function method was combined with PSO in order to handle many constraint conditions. After analysing the load patterns of target BESS, PSO based on penalty function method was applied to get optimal charging and discharging schedule.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5370/kiee.2016.65.4.547
- http://society.kisti.re.kr/sv/SV_svpsbs03V.do?method=download&cn1=JAKO201612461132920
- OA Status
- bronze
- References
- 2
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2346530990
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2346530990Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5370/kiee.2016.65.4.547Digital Object Identifier
- Title
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Study on BESS Charging and Discharging Scheduling Using Particle Swarm OptimizationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2016Year of publication
- Publication date
-
2016-04-01Full publication date if available
- Authors
-
Hyang-A Park, Seul-Ki Kim, Eung-Sang Kim, Jungwon Yu, Sungshin KimList of authors in order
- Landing page
-
https://doi.org/10.5370/kiee.2016.65.4.547Publisher landing page
- PDF URL
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https://society.kisti.re.kr/sv/SV_svpsbs03V.do?method=download&cn1=JAKO201612461132920Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
- OA URL
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https://society.kisti.re.kr/sv/SV_svpsbs03V.do?method=download&cn1=JAKO201612461132920Direct OA link when available
- Concepts
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Particle swarm optimization, Schedule, Penalty method, Mathematical optimization, Scheduling (production processes), Computer science, Electricity, Engineering, Electrical engineering, Mathematics, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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2Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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