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Issue title: Artificial Intelligence as a maturing and growing technology: An urgent need for intelligent systems
Guest editors: X. Yuan and M. Elhoseny
Article type: Research Article
Authors: He, Gongfei | Zhang, Bingyi; * | Feng, Guihong
Affiliations: School of Electrical Engineering, Shenyang University of Technology, Shenyang, China
Correspondence: [*] Corresponding author. Bingyi Zhang, School of Electrical Engineering, Shenyang University of Technology, Shenyang, China. E-mails: [email protected]; [email protected].
Abstract: With the wide application of electric drive equipment and variable frequency load, the power supply system based on the DC grid has attracted much attention because of its high energy density and simple control, and the operation mode of rectifier AC synchronous generators operating in parallel is often adopted. The available topology structures of the rectifier permanent magnet (PM) generator sets are analyzed in this paper, the parallel operation principle of uncontrolled rectifier PM generator sets is analyzed in theory. The parallel operation characteristics of the generator sets are summarized when the voltage-stabilizing and power balanced measures are not taken, and the influence factors of power balancing among parallel operation generators are analyzed. The power-balanced method of rectifier generator sets operating in parallel based on a master-slave control strategy is proposed, which can realize power balanced with the closed-loop control of the DC side output current. The simulation and experiment results show that the proposed method can realize the power balanced control of rectifier generator sets operating in parallel well. The output power of each generator set can be distributed according to capacity. The rationalization proposal of how to matching generators’ parameters in the power supply system of rectifier PM generator sets operating in parallel is given.
Keywords: PM generator, uncontrolled rectifier, operating in parallel, power balanced control, mobile power supply
DOI: 10.3233/JIFS-189338
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2993-3003, 2021
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