Source-Load Coordinated Optimal Scheduling Considering the High Energy Load of Electrofused Magnesium and Wind Power Uncertainty Article Swipe
Juan Li
,
Tingting Xu
,
Gu Yi
,
Chuang Liu
,
Guiping Zhou
,
Guoliang Bian
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.32604/ee.2024.052331
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.32604/ee.2024.052331
In fossil energy pollution is serious and the "double carbon" goal is being promoted, as a symbol of fresh energy in the electrical system, solar and wind power have an increasing installed capacity, only conventional units obviously can not solve the new energy as the main body of the scheduling problem.To enhance the system scheduling ability, based on the participation of thermal power units, incorporate the high energy-carrying load of electro-melting magnesium into the regulation object, and consider the effects on the wind unpredictability of the power.Firstly, the operating characteristics of high energy load and wind power are analyzed, and the principle of the participation of electrofused magnesium high energy-carrying loads in the elimination of obstructed wind power is studied.Second, a two-layer optimization model is suggested, with the objective function being the largest amount of wind power consumed and the lowest possible cost of system operation.In the upper model, the high energy-carrying load regulates the blocked wind power, and in the lower model, the second-order cone approximation algorithm is used to solve the optimization model with wind power uncertainty, so that a two-layer optimization model that takes into account the regulation of the high energy-carrying load of the electrofused magnesium and the uncertainty of the wind power is established.Finally, the model is solved using Gurobi, and the results of the simulation demonstrate that the suggested model may successfully lower wind abandonment, lower system operation costs, increase the accuracy of day-ahead scheduling, and lower the final product error of the thermal electricity unit.
Related Topics
Concepts
Wind power
Scheduling (production processes)
Electric power system
Control theory (sociology)
Environmental science
Power (physics)
Computer science
Automotive engineering
Engineering
Mathematical optimization
Electrical engineering
Mathematics
Physics
Quantum mechanics
Artificial intelligence
Control (management)
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.32604/ee.2024.052331
- https://www.techscience.com/energy/online/detail/20989/pdf
- OA Status
- diamond
- Cited By
- 4
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400367733
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4400367733Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.32604/ee.2024.052331Digital Object Identifier
- Title
-
Source-Load Coordinated Optimal Scheduling Considering the High Energy Load of Electrofused Magnesium and Wind Power UncertaintyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
Juan Li, Tingting Xu, Gu Yi, Chuang Liu, Guiping Zhou, Guoliang BianList of authors in order
- Landing page
-
https://doi.org/10.32604/ee.2024.052331Publisher landing page
- PDF URL
-
https://www.techscience.com/energy/online/detail/20989/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://www.techscience.com/energy/online/detail/20989/pdfDirect OA link when available
- Concepts
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Wind power, Scheduling (production processes), Electric power system, Control theory (sociology), Environmental science, Power (physics), Computer science, Automotive engineering, Engineering, Mathematical optimization, Electrical engineering, Mathematics, Physics, Quantum mechanics, Artificial intelligence, Control (management)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4Per-year citation counts (last 5 years)
- References (count)
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25Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W3158422704, https://openalex.org/W4385759251, https://openalex.org/W2953936648, https://openalex.org/W3000632091, https://openalex.org/W2888954216, https://openalex.org/W2192443814, https://openalex.org/W4391131211, https://openalex.org/W4295949356, https://openalex.org/W4378894752, https://openalex.org/W6839650357, https://openalex.org/W4390427607, https://openalex.org/W4385717389, https://openalex.org/W2942667917, https://openalex.org/W3116375014, https://openalex.org/W3011463769, https://openalex.org/W2997783524, https://openalex.org/W4387976875, https://openalex.org/W2916628807, https://openalex.org/W4365800925, https://openalex.org/W2987891012, https://openalex.org/W4313129698, https://openalex.org/W779821908, https://openalex.org/W2000587848, https://openalex.org/W4285234573, https://openalex.org/W2949245085 |
| referenced_works_count | 25 |
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