Enabling Efficient Sizing of Hybrid Power Plants: A Surrogate-Based Approach to Energy Management System Modeling Article Swipe
Charbel Assaad
,
Juan Pablo Murcia León
,
Julian Quick
,
Tuhfe Göçmen
,
Sami Ghazouani
,
Kaushik Das
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.5194/wes-2024-96
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.5194/wes-2024-96
Sizing of Hybrid Power Plants (HPPs), which include wind power plants and battery energy systems, is essential to capture trade-offs among various technology mixes. To accurately represent these trade-offs, an Energy Management System (EMS) is introduced to model the operation of a battery when participating in any market, resulting in realistic operational revenues and costs. However, traditional EMS models are computationally expensive to solve, a challenge that intensifies when integrating these models into sizing processes. This research paper aims to address the critical need for a computationally efficient, accurate, and comprehensive operational model that enables quantitative assessment of HPPs. A novel methodology is introduced to approximate a state-of-the-art EMS model for HPPs involved in spot market power bidding. This approach utilizes singular value decomposition for dimension reduction and a feed-forward neural network as a regression. The accuracy of our methodology is evaluated, showing a root mean square error of 0.09 in predicting hourly operational time series. This method proves effective in accurately evaluating the operation of HPPs across various geographical locations and hence on multiple sizing problems. Furthermore, we utilized the surrogate to evaluate the profitability of several HPPs sizing, achieving a root mean square error of 0.010 on the profitability index. This shows that the developed surrogate is suitable for HPP sizing for given cost and financial assumptions.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.5194/wes-2024-96
- OA Status
- gold
- Cited By
- 1
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401523687
All OpenAlex metadata
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https://openalex.org/W4401523687Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5194/wes-2024-96Digital Object Identifier
- Title
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Enabling Efficient Sizing of Hybrid Power Plants: A Surrogate-Based Approach to Energy Management System ModelingWork title
- Type
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preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-08-12Full publication date if available
- Authors
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Charbel Assaad, Juan Pablo Murcia León, Julian Quick, Tuhfe Göçmen, Sami Ghazouani, Kaushik DasList of authors in order
- Landing page
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https://doi.org/10.5194/wes-2024-96Publisher landing page
- 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://doi.org/10.5194/wes-2024-96Direct OA link when available
- Concepts
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Sizing, Bidding, Computer science, Profitability index, Reliability engineering, Mathematical optimization, Surrogate model, Revenue, Energy management, Energy (signal processing), Engineering, Mathematics, Machine learning, Economics, Finance, Statistics, Visual arts, Art, MicroeconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W3095460974, https://openalex.org/W2552244750, https://openalex.org/W4284690085, https://openalex.org/W2963815651, https://openalex.org/W3035080213, https://openalex.org/W4316672811, https://openalex.org/W2974666883, https://openalex.org/W4386475219, https://openalex.org/W2895117537, https://openalex.org/W3211510270, https://openalex.org/W4311619418, https://openalex.org/W4321180726, https://openalex.org/W3028495153, https://openalex.org/W1981270896, https://openalex.org/W2991609852, https://openalex.org/W2417460170, https://openalex.org/W3121136457, https://openalex.org/W4205200279, https://openalex.org/W1978589012, https://openalex.org/W3049232275, https://openalex.org/W3081807267, https://openalex.org/W2788419778, https://openalex.org/W3198135508 |
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| corresponding_author_ids | https://openalex.org/A5064793476, https://openalex.org/A5083702897, https://openalex.org/A5025612457, https://openalex.org/A5071292501, https://openalex.org/A5060143640 |
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| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I103084370, https://openalex.org/I96673099 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
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| sustainable_development_goals[0].display_name | Affordable and clean energy |
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