Generation Expansion Planning Based on Dynamic Bayesian Network Considering the Uncertainty of Renewable Energy Resources

Xiangyu Kong, Jingtao Yao, Zhijun E and Xin Wang
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Xiangyu Kong: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
Jingtao Yao: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
Zhijun E: State Grid Tianjin Electric Power Company, Tianjin 300010, China
Xin Wang: State Grid Tianjin Electric Power Company, Tianjin 300010, China

Energies, 2019, vol. 12, issue 13, 1-20

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.

Keywords: generation expansion planning; sustainable development; Dynamic Bayesian Network; decision model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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