Controlling Output Power to Enhance the Investment Efficiency of Wind Farms by Maximizing the Capacity of Transmission Transformers and Integrating Energy Storage Systems Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48084/etasr.7688
This study addresses inherent challenges stemming from uncertainty associated with the integration of wind energy into the electricity market. A novel approach is proposed to leverage the capabilities of dynamic transformers to optimize the utilization of uncertain wind power output, thereby enhancing financial investment efficiency for wind power stakeholders. The flexible combination of wind turbines (WTB), transmission transformers (TTS), and Energy Storage Systems (ESS) can actively reserve or provision electricity. Electricity generation control is based on optimal analysis results using linear integer programming algorithms that consider temperature fluctuations, lifespan of transformers, and electricity market prices. Maximizing the dynamic transformer's efficiency as proposed and optimizing revenue and costs from the fluctuating wind power output significantly improves financial performance metrics when investing in wind farm projects. Financial figures highlighted in the paper emphasize notable benefits, particularly for wind farm expansion projects. The potential return on investment ratio is expected to increase up to 5.64 times compared to conventional wind farm investment scenarios, with an improvement to increase from 4.4% to 24.8.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.48084/etasr.7688
- OA Status
- gold
- Cited By
- 1
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401296541
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4401296541Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48084/etasr.7688Digital Object Identifier
- Title
-
Controlling Output Power to Enhance the Investment Efficiency of Wind Farms by Maximizing the Capacity of Transmission Transformers and Integrating Energy Storage SystemsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-08-02Full publication date if available
- Authors
-
Trương Việt Anh, Nguyen Tung Linh, Đinh Ngọc SangList of authors in order
- Landing page
-
https://doi.org/10.48084/etasr.7688Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.48084/etasr.7688Direct OA link when available
- Concepts
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Transformer, Wind power, Energy storage, Electrical engineering, Investment (military), Engineering, Power transmission, Environmental economics, Automotive engineering, Power (physics), Economics, Voltage, Politics, Quantum mechanics, Physics, Law, Political scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
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19Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.flexible | 50 |
| abstract_inverted_index.improves | 114 |
| abstract_inverted_index.increase | 148, 164 |
| abstract_inverted_index.inherent | 3 |
| abstract_inverted_index.leverage | 25 |
| abstract_inverted_index.lifespan | 88 |
| abstract_inverted_index.optimize | 32 |
| abstract_inverted_index.proposed | 23, 101 |
| abstract_inverted_index.stemming | 5 |
| abstract_inverted_index.turbines | 54 |
| abstract_inverted_index.Financial | 124 |
| abstract_inverted_index.addresses | 2 |
| abstract_inverted_index.benefits, | 132 |
| abstract_inverted_index.emphasize | 130 |
| abstract_inverted_index.enhancing | 41 |
| abstract_inverted_index.expansion | 137 |
| abstract_inverted_index.financial | 42, 115 |
| abstract_inverted_index.investing | 119 |
| abstract_inverted_index.potential | 140 |
| abstract_inverted_index.projects. | 123, 138 |
| abstract_inverted_index.provision | 68 |
| abstract_inverted_index.uncertain | 36 |
| abstract_inverted_index.Maximizing | 95 |
| abstract_inverted_index.algorithms | 83 |
| abstract_inverted_index.associated | 8 |
| abstract_inverted_index.challenges | 4 |
| abstract_inverted_index.efficiency | 44, 99 |
| abstract_inverted_index.generation | 71 |
| abstract_inverted_index.investment | 43, 143, 158 |
| abstract_inverted_index.optimizing | 103 |
| abstract_inverted_index.scenarios, | 159 |
| abstract_inverted_index.Electricity | 70 |
| abstract_inverted_index.combination | 51 |
| abstract_inverted_index.electricity | 17, 92 |
| abstract_inverted_index.fluctuating | 109 |
| abstract_inverted_index.highlighted | 126 |
| abstract_inverted_index.improvement | 162 |
| abstract_inverted_index.integration | 11 |
| abstract_inverted_index.performance | 116 |
| abstract_inverted_index.programming | 82 |
| abstract_inverted_index.temperature | 86 |
| abstract_inverted_index.uncertainty | 7 |
| abstract_inverted_index.utilization | 34 |
| abstract_inverted_index.capabilities | 27 |
| abstract_inverted_index.conventional | 155 |
| abstract_inverted_index.electricity. | 69 |
| abstract_inverted_index.particularly | 133 |
| abstract_inverted_index.transformers | 30, 57 |
| abstract_inverted_index.transmission | 56 |
| abstract_inverted_index.fluctuations, | 87 |
| abstract_inverted_index.significantly | 113 |
| abstract_inverted_index.stakeholders. | 48 |
| abstract_inverted_index.transformer's | 98 |
| abstract_inverted_index.transformers, | 90 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8100000023841858 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.6281951 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |