Real-Time Scheduling Optimization of Integrated Energy Systems in Smart Grids based on Approximate Dynamic Programming Article Swipe
Dongzhao Wang
,
Yu-E Sun
,
Yan Wu
,
Zixuan Wang
,
Keliang Duan
,
Xiao‐Yun Tian
,
Dachuan Xu
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.19139/soic-2310-5070-2217
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.19139/soic-2310-5070-2217
With the large-scale integration of renewable energy (RE) sources and rapid advancements in smart grid (SG) technologies, the efficient integration of diverse energy resources to achieve supply-demand balance and maximize cost-effectiveness has emerged as a research hotspot in the energy sector. This paper addresses the real-time scheduling challenge in integrated energy systems (IES) within the context of SG, emphasizing pivotal factors such as electric and thermal load scheduling, energy storage control, dynamic electricity pricing, carbon emission mechanisms, and demand response (DR). To this end, we propose a comprehensive scheduling model tailored for IES, aiming to minimize the total cost over the dispatch cycle. Furthermore, an optimal scheduling algorithm based on approximate dynamic programming (ADP) was designed to solve this model. Numerical experiments reveal that, while ensuring user comfort, the proposed real-time scheduling scheme, by comprehensively considering the interactions among various system inputs, significantly enhances system flexibility and economic performance. It effectively tackles the uncertainty of RE, thereby improving energy utilization efficiency.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.19139/soic-2310-5070-2217
- OA Status
- diamond
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4406167013Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.19139/soic-2310-5070-2217Digital Object Identifier
- Title
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Real-Time Scheduling Optimization of Integrated Energy Systems in Smart Grids based on Approximate Dynamic ProgrammingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-17Full publication date if available
- Authors
-
Dongzhao Wang, Yu-E Sun, Yan Wu, Zixuan Wang, Keliang Duan, Xiao‐Yun Tian, Dachuan XuList of authors in order
- Landing page
-
https://doi.org/10.19139/soic-2310-5070-2217Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.19139/soic-2310-5070-2217Direct OA link when available
- Concepts
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Computer science, Dynamic programming, Scheduling (production processes), Distributed computing, Smart grid, Dynamic priority scheduling, Mathematical optimization, Engineering, Algorithm, Mathematics, Operating system, Electrical engineering, ScheduleTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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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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| abstract_inverted_index.research | 35 |
| abstract_inverted_index.response | 79 |
| abstract_inverted_index.tailored | 90 |
| abstract_inverted_index.Numerical | 120 |
| abstract_inverted_index.addresses | 43 |
| abstract_inverted_index.algorithm | 107 |
| abstract_inverted_index.challenge | 47 |
| abstract_inverted_index.efficient | 18 |
| abstract_inverted_index.improving | 157 |
| abstract_inverted_index.real-time | 45, 130 |
| abstract_inverted_index.renewable | 5 |
| abstract_inverted_index.resources | 23 |
| abstract_inverted_index.integrated | 49 |
| abstract_inverted_index.scheduling | 46, 88, 106, 131 |
| abstract_inverted_index.approximate | 110 |
| abstract_inverted_index.considering | 135 |
| abstract_inverted_index.effectively | 150 |
| abstract_inverted_index.efficiency. | 160 |
| abstract_inverted_index.electricity | 72 |
| abstract_inverted_index.emphasizing | 58 |
| abstract_inverted_index.experiments | 121 |
| abstract_inverted_index.flexibility | 145 |
| abstract_inverted_index.integration | 3, 19 |
| abstract_inverted_index.large-scale | 2 |
| abstract_inverted_index.mechanisms, | 76 |
| abstract_inverted_index.programming | 112 |
| abstract_inverted_index.scheduling, | 67 |
| abstract_inverted_index.uncertainty | 153 |
| abstract_inverted_index.utilization | 159 |
| abstract_inverted_index.Furthermore, | 103 |
| abstract_inverted_index.advancements | 11 |
| abstract_inverted_index.interactions | 137 |
| abstract_inverted_index.performance. | 148 |
| abstract_inverted_index.comprehensive | 87 |
| abstract_inverted_index.significantly | 142 |
| abstract_inverted_index.supply-demand | 26 |
| abstract_inverted_index.technologies, | 16 |
| abstract_inverted_index.comprehensively | 134 |
| abstract_inverted_index.cost-effectiveness | 30 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.65889789 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |