Fruit fly optimization algorithm multi-objective control method for MMC traction power supply system with unbalanced distribution network

When distribution voltage is unbalanced, the voltage and current on the AC side of the traction power supply system based on a modular multilevel converter (MMC) will have negative sequence components, causing reactive and active power fluctuations. At this time, the circulation current will also oc...

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Vydáno v:International journal of dynamics and control Ročník 10; číslo 6; s. 1922 - 1933
Hlavní autoři: Pan, Hongbin, Qin, Kai, Zhang, Jiale, Yuan, Changmin
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2022
Springer Nature B.V
Témata:
Algorithms
Alternating current
Complexity
Control
Control and Systems Theory
Control methods
Dynamical Systems
Electric potential
Electric power supplies
Engineering
Modular systems
Multiple objective analysis
Optimization
Reactive power
Traction
Unbalance
Vibration
Voltage
Modular multilevel converter
Coordinated control of power and current
Fruit fly optimization algorithm
Circulation suppression
ISSN:2195-268X, 2195-2698
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Abstract When distribution voltage is unbalanced, the voltage and current on the AC side of the traction power supply system based on a modular multilevel converter (MMC) will have negative sequence components, causing reactive and active power fluctuations. At this time, the circulation current will also occur in the MMC, threatening the safety and operation of the system. Based on the analysis of the power fluctuation mechanism, this paper derives the expression of the multi-objective control function combined with the universal current calculation formula. The fruit fly optimization algorithm (FOA) minimizes the multi-objective function and achieves the purpose of suppressing the coordinated control of the three objectives of negative sequence current and active and reactive power fluctuations. The resonant vector controller (RVC) was used to suppress the circulation current in MMC system. A simulation model was built to verify the effectiveness of the proposed strategy and algorithm.
AbstractList When distribution voltage is unbalanced, the voltage and current on the AC side of the traction power supply system based on a modular multilevel converter (MMC) will have negative sequence components, causing reactive and active power fluctuations. At this time, the circulation current will also occur in the MMC, threatening the safety and operation of the system. Based on the analysis of the power fluctuation mechanism, this paper derives the expression of the multi-objective control function combined with the universal current calculation formula. The fruit fly optimization algorithm (FOA) minimizes the multi-objective function and achieves the purpose of suppressing the coordinated control of the three objectives of negative sequence current and active and reactive power fluctuations. The resonant vector controller (RVC) was used to suppress the circulation current in MMC system. A simulation model was built to verify the effectiveness of the proposed strategy and algorithm.
Author Yuan, Changmin
Zhang, Jiale
Pan, Hongbin
Qin, Kai
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Cites_doi 10.1109/TPEL.2017.2717541
10.1016/j.asoc.2021.107641
10.17775/CSEEJPES.2020.02260
10.1109/TPWRD.2020.3011228
10.1016/j.measurement.2020.107963
10.1109/TIA.2021.3092298
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Keywords Modular multilevel converter
Coordinated control of power and current
Fruit fly optimization algorithm
Circulation suppression
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Snippet When distribution voltage is unbalanced, the voltage and current on the AC side of the traction power supply system based on a modular multilevel converter...
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SubjectTerms Algorithms
Alternating current
Complexity
Control
Control and Systems Theory
Control methods
Dynamical Systems
Electric potential
Electric power supplies
Engineering
Modular systems
Multiple objective analysis
Optimization
Reactive power
Traction
Unbalance
Vibration
Voltage
Title Fruit fly optimization algorithm multi-objective control method for MMC traction power supply system with unbalanced distribution network
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