ZERO SEQUENCE LOOP CURRENT SUPPRESSION STRATEGY BASED ON BP NEURAL NETWORK PI AND QUASI-PR CONTROL

Sun Xu; Zhang Jihong; Lu Xiaoyan; Jie Xinchun; Wu Zhenkui

doi:10.19912/j.0254-0096.tynxb.2024-0714

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (9) : 632-641. DOI: 10.19912/j.0254-0096.tynxb.2024-0714

ZERO SEQUENCE LOOP CURRENT SUPPRESSION STRATEGY BASED ON BP NEURAL NETWORK PI AND QUASI-PR CONTROL

Sun Xu, Zhang Jihong, Lu Xiaoyan, Jie Xinchun, Wu Zhenkui

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Abstract

Aiming at the special structure of multi-inverter parallel connection in distributed power generation systems, this paper analyzes the mechanism of zero-sequence circulation, establishes the corresponding equivalent electrical model, and proposes a zero-sequence circulation suppression strategy which combines neural network PI control and quasi-proportional-resonant control. Firstly, the traditional PI controller parameter design method is improved, and the neural network is introduced to calculate the PI controller parameters, so as to solve the nonlinear problem of inverter output and complete the zero-sequence circulation suppression in the fundamental wave domain. Secondly, a quasi-proportional resonance controller is designed for the zero-sequence circulation in the third harmonic domain, and the zero-sequence circulation component is controlled by neural network PI control and quasi-PR control to obtain control instructions, and SVPWM zero-sequence duty ratio modulation is carried out, so as to accurately suppress the third-harmonic circulation; Finally, the large-scale simulation software Matlab/Simulink is used for modeling analysis and testing by experimental means. The results show that the proposed control strategy is reasonable and feasible, which can effectively suppress zero-sequence circulation, and has important guidance value for large-scale distributed power generation engineering and application.

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electric inverters / PWM / neural network / zero sequence circulation / quasi-proportional-resonance control

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Sun Xu, Zhang Jihong, Lu Xiaoyan, Jie Xinchun, Wu Zhenkui. ZERO SEQUENCE LOOP CURRENT SUPPRESSION STRATEGY BASED ON BP NEURAL NETWORK PI AND QUASI-PR CONTROL[J]. Acta Energiae Solaris Sinica. 2025, 46(9): 632-641 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0714

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