LAPSE:2023.21125
Published Article

LAPSE:2023.21125
Generation Expansion Planning Based on Dynamic Bayesian Network Considering the Uncertainty of Renewable Energy Resources
March 21, 2023
Abstract
In generation expansion planning, sustainable generation expansion planning is gaining more and more attention. Based on the comprehensive consideration of generation expansion planning economics, technology, environment, and other fields, this paper analyzes the sustainable development of power supply planning evaluation indicators and builds a multi-objective generation expansion planning decision model considering sustainable development. According to the target variables in the model, the variables such as attribute variables are divided into different subsets, and the logical relationship analysis method between different nodes is obtained based on Dynamic Bayesian network theory, which reduces the complexity of the planning model problem. The application examples show the feasibility and effectiveness of the proposed model and the solution method.
In generation expansion planning, sustainable generation expansion planning is gaining more and more attention. Based on the comprehensive consideration of generation expansion planning economics, technology, environment, and other fields, this paper analyzes the sustainable development of power supply planning evaluation indicators and builds a multi-objective generation expansion planning decision model considering sustainable development. According to the target variables in the model, the variables such as attribute variables are divided into different subsets, and the logical relationship analysis method between different nodes is obtained based on Dynamic Bayesian network theory, which reduces the complexity of the planning model problem. The application examples show the feasibility and effectiveness of the proposed model and the solution method.
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Keywords
decision model, Dynamic Bayesian Network, generation expansion planning, sustainable development
Subject
Suggested Citation
Kong X, Yao J, E Z, Wang X. Generation Expansion Planning Based on Dynamic Bayesian Network Considering the Uncertainty of Renewable Energy Resources. (2023). LAPSE:2023.21125
Author Affiliations
Kong X: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China [ORCID]
Yao J: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
E Z: State Grid Tianjin Electric Power Company, Tianjin 300010, China
Wang X: State Grid Tianjin Electric Power Company, Tianjin 300010, China
Yao J: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
E Z: State Grid Tianjin Electric Power Company, Tianjin 300010, China
Wang X: State Grid Tianjin Electric Power Company, Tianjin 300010, China
Journal Name
Energies
Volume
12
Issue
13
Article Number
E2492
Year
2019
Publication Date
2019-06-28
ISSN
1996-1073
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Original Submission
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PII: en12132492, Publication Type: Journal Article
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LAPSE:2023.21125
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https://doi.org/10.3390/en12132492
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Mar 21, 2023
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