Research on Optimal Electrical Energy Management Method of Smart Grid Based on Value Iteration Article Swipe
Chunsheng Yan
,
Yongjian Zheng
,
Xun Dai
,
Baiyu Gao
,
Liguang Zhong
,
Shi Xing
,
Ruizhuo Song
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.ifacol.2021.04.159
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.ifacol.2021.04.159
Based on the smart grid residential load data and energy storage terminal data, this paper expands a new optimal control method of smart grid supply and demand matching and optimization.This paper describes the operation principle and defines the required optimization parameters of the control object—electric energy storage management system. Aiming at the characteristics of discrete non linearity of the smart grid, a value iteration algorithm is selected to establish a control strategy,and an adaptive value iteration optimization scheme is derived.We use the BP neural network to export the control strategy of the electric energy management system by reducing the back propagation error. Finally,we use the day-ahead electricity price data to achieve numerical simulation.The result shows that the adaptive value iteration algorithm methods have higher efficiency and superior adaptability compared with the traditional BP neural network control method.
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- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.1016/j.ifacol.2021.04.159
- OA Status
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- References
- 16
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- 10
- OpenAlex ID
- https://openalex.org/W3164878615
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https://openalex.org/W3164878615Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.ifacol.2021.04.159Digital Object Identifier
- Title
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Research on Optimal Electrical Energy Management Method of Smart Grid Based on Value IterationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-01-01Full publication date if available
- Authors
-
Chunsheng Yan, Yongjian Zheng, Xun Dai, Baiyu Gao, Liguang Zhong, Shi Xing, Ruizhuo SongList of authors in order
- Landing page
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https://doi.org/10.1016/j.ifacol.2021.04.159Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.1016/j.ifacol.2021.04.159Direct OA link when available
- Concepts
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Smart grid, Computer science, Value (mathematics), Grid, Energy (signal processing), Mathematical optimization, Electrical engineering, Mathematics, Engineering, Statistics, Geometry, Machine learningTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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16Number 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.describes | 34 |
| abstract_inverted_index.establish | 71 |
| abstract_inverted_index.iteration | 66, 78, 122 |
| abstract_inverted_index.linearity | 59 |
| abstract_inverted_index.numerical | 114 |
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| abstract_inverted_index.principle | 37 |
| abstract_inverted_index.Finally,we | 105 |
| abstract_inverted_index.derived.We | 82 |
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| abstract_inverted_index.management | 50, 97 |
| abstract_inverted_index.parameters | 43 |
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| abstract_inverted_index.propagation | 103 |
| abstract_inverted_index.residential | 8 |
| abstract_inverted_index.traditional | 134 |
| abstract_inverted_index.adaptability | 130 |
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| abstract_inverted_index.simulation.The | 115 |
| abstract_inverted_index.characteristics | 55 |
| abstract_inverted_index.object—electric | 47 |
| abstract_inverted_index.optimization.This | 32 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8799999952316284 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.18191977 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |