RESEARCH ON SUB-SYNCHRONOUS OSCILLATION SUPPRESSION STRATEGY OF PHOTOVOLTAIC GRID-CONNECTED SYSTEM BASED ON MODEL PREDICTIVE CONTROL

Wu Powei; Wang Zihan; Li Gengyin; Cai Defu; Sun Guanqun

doi:10.19912/j.0254-0096.tynxb.2023-0571

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (8) : 349-357. DOI: 10.19912/j.0254-0096.tynxb.2023-0571

RESEARCH ON SUB-SYNCHRONOUS OSCILLATION SUPPRESSION STRATEGY OF PHOTOVOLTAIC GRID-CONNECTED SYSTEM BASED ON MODEL PREDICTIVE CONTROL

Wu Powei¹, Wang Zihan¹, Li Gengyin¹, Cai Defu², Sun Guanqun²

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Abstract

With the continuous increase of photovoltaic （PV） power in China, large-scale photovoltaic grid connection introduces a lot of power electronic devices, and there is a risk of sub-synchronous oscillation （SSO） in photovoltaic grid-connected systems. In order to solve the potential sub-synchronous oscillation problem of photovoltaic grid-connected system, a model predictive control method based SSO suppression strategy for PV grid-connected system is proposed. Firstly, establish a small signal analysis model for PV grid-connected system considering the inverter control delay, and use the participation factor analysis method to select model with good observability and controllability to predict control signal. Secondly, establish appropriate objective function and constraints, and solve the optimal input sequence of the system through model predictive controller to make the system output reach the expected value, thereby suppressing the system oscillation. Finally, the effectiveness and robustness of the SSO suppression strategy are verified through simulation.

Key words

model predictive control / controller design / photovoltaic grid-connected system / sub-synchronous oscillation / small-signal model / participation factor analysis

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Wu Powei, Wang Zihan, Li Gengyin, Cai Defu, Sun Guanqun. RESEARCH ON SUB-SYNCHRONOUS OSCILLATION SUPPRESSION STRATEGY OF PHOTOVOLTAIC GRID-CONNECTED SYSTEM BASED ON MODEL PREDICTIVE CONTROL[J]. Acta Energiae Solaris Sinica. 2024, 45(8): 349-357 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0571

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