LAPSE:2023.23657
Published Article
LAPSE:2023.23657
Bi-level Capacity Planning of Wind-PV-Battery Hybrid Generation System Considering Return on Investment
Bowen Yang, Yougui Guo, Xi Xiao, Peigen Tian
March 27, 2023
Reasonable configuration of equipment capacity can effectively improve the economics of wind-photovoltaic-battery hybrid generation system (WPB-HGS). Based on the current needs of investors to pay more attention to the economic benefits of WPB-HGS, this paper proposes a capacity configuration method for WPB-HGS considering return on investment (ROI). A bi-level planning model for integrated planning and operation of WPB-HGS was established. The lower-level model optimizes the system’s operating status with the goal of maximizing the daily power sales of the system. The upper-level model plans the equipment capacity of the WPB-HGS with the goal of maximizing the annual net income and return on investment. The model is solved using adaptive weighted particle swarm optimization. According to actual engineering examples, the specific equipment capacity is configured, and the configuration results are analyzed to verify the effectiveness of the method.
Keywords
bi-level planning, capacity configuration, Particle Swarm Optimization, return on investment, wind-photovoltaic-battery hybrid generation system
Suggested Citation
Yang B, Guo Y, Xiao X, Tian P. Bi-level Capacity Planning of Wind-PV-Battery Hybrid Generation System Considering Return on Investment. (2023). LAPSE:2023.23657
Author Affiliations
Yang B: Department of Information Engineering, Xiangtan University, Xiangtan 411105, China [ORCID]
Guo Y: Department of Information Engineering, Xiangtan University, Xiangtan 411105, China
Xiao X: Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Tian P: Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Journal Name
Energies
Volume
13
Issue
12
Article Number
E3046
Year
2020
Publication Date
2020-06-12
Published Version
ISSN
1996-1073
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PII: en13123046, Publication Type: Journal Article
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doi:10.3390/en13123046
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