Combined Economic Emission Dispatch with Environment-Based Demand Response Using WU-ABC Algorithm Article Swipe
Ho-Sung Ryu
,
Mun-Kyeom Kim
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/en13236450
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/en13236450
Owing to the growing interest in environmental problems worldwide, it is essential to schedule power generation considering the effects of pollutants. To address this, we propose an optimal approach that solves the combined economic emission dispatch (CEED) with maximum emission constraints by considering demand response (DR) program. The CEED consists of the sum of operation costs for each generator and the pollutant emissions. An environment-based demand response (EBDR) program is used to implement pollutant emission reduction and facilitate economic improvement. Through the weighting update artificial bee colony (WU-ABC) algorithm, the penalty factor that determines the weighting of the two objective functions is adjusted, and an optimal operation solution for a microgrid (MG) is then determined to resolve the CEED problem. The effectiveness and applicability of the proposed approach are demonstrated via comparative analyses at a modified grid-connected MG test system. The results confirm that the proposed approach not only satisfies emission constraints but also ensures an economically superior performance compared to other approaches. These results present a useful solution for microgrid operators considered environment issues.
Related Topics
Concepts
Weighting
Demand response
Microgrid
Mathematical optimization
Schedule
Economic dispatch
Computer science
Generator (circuit theory)
Power (physics)
Electricity
Electric power system
Engineering
Mathematics
Artificial intelligence
Control (management)
Electrical engineering
Medicine
Quantum mechanics
Operating system
Physics
Radiology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en13236450
- https://www.mdpi.com/1996-1073/13/23/6450/pdf?version=1607331357
- OA Status
- gold
- Cited By
- 23
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3111426652
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3111426652Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/en13236450Digital Object Identifier
- Title
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Combined Economic Emission Dispatch with Environment-Based Demand Response Using WU-ABC AlgorithmWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-12-06Full publication date if available
- Authors
-
Ho-Sung Ryu, Mun-Kyeom KimList of authors in order
- Landing page
-
https://doi.org/10.3390/en13236450Publisher landing page
- PDF URL
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https://www.mdpi.com/1996-1073/13/23/6450/pdf?version=1607331357Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1996-1073/13/23/6450/pdf?version=1607331357Direct OA link when available
- Concepts
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Weighting, Demand response, Microgrid, Mathematical optimization, Schedule, Economic dispatch, Computer science, Generator (circuit theory), Power (physics), Electricity, Electric power system, Engineering, Mathematics, Artificial intelligence, Control (management), Electrical engineering, Medicine, Quantum mechanics, Operating system, Physics, RadiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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23Total citation count in OpenAlex
- Citations by year (recent)
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2025: 8, 2024: 2, 2023: 2, 2022: 7, 2021: 4Per-year citation counts (last 5 years)
- References (count)
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44Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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