Power Dispatching Considering Copula Correlation of Multiple Wind Farms Generation Article Swipe
Yao Lu
,
Qianwen Shao
,
Min Xie
,
Runquan He
,
Xiaokang Wu
,
Jianzhao Li
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1088/1755-1315/495/1/012009
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1088/1755-1315/495/1/012009
The dynamic economic dispatching of power system connected with multiple wind farms is a typical stochastic programming problem. How to model the randomness of wind power and how to solve this complex stochastic optimization problem are the key points. In this paper, copula theory is used to formulate the correlation of multi-wind farms generation. Then, the dynamic economic dispatching model is founded with the fuel consumption, gas pollution emission fees and purchase costs as the optimized objective. The two-stage compensation algorithm is then introduced to solve the dispatching problem. In this algorithm, the conventional (nonstochastic) decision variables and stochastic variables are decoupled, which separate the dynamic dispatching model into two stage modes. The optimal dispatching result is worked out by iteration between the two stage models. Case studies on IEEE118-bus system shows that the proposed algorithm can drastically reduce computational burden, and satisfy the actual requirements of engineering practice.
Related Topics
Concepts
Copula (linguistics)
Mathematical optimization
Randomness
Stochastic programming
Wind power
Computer science
Electric power system
Economic dispatch
Key (lock)
Operations research
Power (physics)
Engineering
Mathematics
Econometrics
Physics
Electrical engineering
Statistics
Quantum mechanics
Computer security
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1755-1315/495/1/012009
- https://iopscience.iop.org/article/10.1088/1755-1315/495/1/012009/pdf
- OA Status
- diamond
- References
- 8
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3035004772
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3035004772Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1755-1315/495/1/012009Digital Object Identifier
- Title
-
Power Dispatching Considering Copula Correlation of Multiple Wind Farms GenerationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-04-01Full publication date if available
- Authors
-
Yao Lu, Qianwen Shao, Min Xie, Runquan He, Xiaokang Wu, Jianzhao LiList of authors in order
- Landing page
-
https://doi.org/10.1088/1755-1315/495/1/012009Publisher landing page
- PDF URL
-
https://iopscience.iop.org/article/10.1088/1755-1315/495/1/012009/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://iopscience.iop.org/article/10.1088/1755-1315/495/1/012009/pdfDirect OA link when available
- Concepts
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Copula (linguistics), Mathematical optimization, Randomness, Stochastic programming, Wind power, Computer science, Electric power system, Economic dispatch, Key (lock), Operations research, Power (physics), Engineering, Mathematics, Econometrics, Physics, Electrical engineering, Statistics, Quantum mechanics, Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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8Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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