LAPSE:2023.2807v1
Published Article
LAPSE:2023.2807v1
Optimal Current Allocation Strategy for Hybrid Hierarchical HVDC System with Parallel Operation of High-Voltage and Low-Voltage DC Lines
Zhichao Yang, Bingtuan Gao, Zeyu Cao
February 21, 2023
Abstract
For long-distance and bulk-power delivery of new energy, high-voltage direct current (HVDC) is a more effective way than high-voltage alternative current (HVAC). In view of the current capacity disparity between line commutated converter (LCC) and voltage source converter (VSC), a hybrid hierarchical HVDC topology with parallel operation of 800 kV and 400 kV DC lines is investigated. The optimal current allocation method for hybrid hierarchical HVDC is proposed distinct from the same rated current command configuration method of high-voltage and low-voltage converters in traditional topology. Considering the transmission loss reduction of the HVDC system, a multi-order fitting function of transmission loss including LCC converter stations, VSC converter stations and DC lines is established. To minimize the transmission loss and the voltage deviation of key DC nodes comprehensively, a multi-objective genetic algorithm and maximum satisfaction method are utilized to obtain the optimal allocation value of rated current command for high-voltage and low-voltage converters. Through the optimization model, an improved constant current controller based on the current allocation strategy is designed. The hybrid hierarchical HVDC system model is built in PSCAD software, and simulation results verify the effectiveness of the proposed topology and optimal current allocation strategy.
Keywords
high-voltage and low-voltage converters, hybrid hierarchical HVDC, optimal current allocation, transmission loss function, voltage deviation
Suggested Citation
Yang Z, Gao B, Cao Z. Optimal Current Allocation Strategy for Hybrid Hierarchical HVDC System with Parallel Operation of High-Voltage and Low-Voltage DC Lines. (2023). LAPSE:2023.2807v1
Author Affiliations
Yang Z: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Gao B: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Cao Z: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Journal Name
Processes
Volume
10
Issue
3
First Page
579
Year
2022
Publication Date
2022-03-16
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr10030579, Publication Type: Journal Article
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LAPSE:2023.2807v1
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https://doi.org/10.3390/pr10030579
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