Optimizing Low-Carbon Pathway of China’s Power Supply Structure Using Model Predictive Control Article Swipe
With the increasing severity of climate change, the power industry, as one of the main sources of carbon emissions, is playing an extremely important role in the process of low-carbon energy transformation. The purpose of this paper is to try to find a general method to solve the optimal path for the low-carbon evolution of the power supply structure so as to meet the challenges faced by the low-carbon transformation of the power industry in the future. This paper first uses the capacity coefficient index (CCI) to represent the power generation ability of different technologies and proposes a forecasting method for the CCI of renewable energy generation. In this paper, a two-layer optimization model considering multiple constraints is established and solved using the MPC method. The results show that China’s installed capacity of renewable power could account for more than 50% in 2030, while the carbon emissions will decrease after reaching a peak in 2023. On the premise of ensuring sufficient reserve adjustment capacity of thermal power units, increasing the proportion of renewable energy generation is an important way to realize emission reduction in the power industry.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en15124450
- https://www.mdpi.com/1996-1073/15/12/4450/pdf?version=1655723483
- OA Status
- gold
- Cited By
- 4
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4283078508
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4283078508Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/en15124450Digital Object Identifier
- Title
-
Optimizing Low-Carbon Pathway of China’s Power Supply Structure Using Model Predictive ControlWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-06-18Full publication date if available
- Authors
-
Yue Ma, Xiaodong ChuList of authors in order
- Landing page
-
https://doi.org/10.3390/en15124450Publisher landing page
- PDF URL
-
https://www.mdpi.com/1996-1073/15/12/4450/pdf?version=1655723483Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1996-1073/15/12/4450/pdf?version=1655723483Direct OA link when available
- Concepts
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Renewable energy, Power (physics), Electricity generation, Environmental economics, Premise, Computer science, Engineering, Economics, Electrical engineering, Quantum mechanics, Linguistics, Physics, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2023: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
44Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5058548071 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I154099455 |
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| citation_normalized_percentile.is_in_top_10_percent | False |