Optimization-Based Suppression Method of Oscillations in Photovoltaic Grid-Connected Systems with Controllable Nonlinear Loads

Tong Zhu, Gechao Huang, Xi Ye, Yanfeng Wang, Xuetong Ouyang, Weilin Zhang, Yangfan Cheng and Yuhong Wang ()
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Tong Zhu: State Grid Sichuan Electric Power Company, Chengdu 610041, China
Gechao Huang: State Grid Sichuan Electric Power Company, Chengdu 610041, China
Xi Ye: State Grid Sichuan Electric Power Company, Chengdu 610041, China
Yanfeng Wang: State Grid Sichuan Electric Power Company, Chengdu 610041, China
Xuetong Ouyang: State Grid Sichuan Electric Power Company, Chengdu 610041, China
Weilin Zhang: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Yangfan Cheng: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Yuhong Wang: College of Electrical Engineering, Sichuan University, Chengdu 610065, China

Energies, 2024, vol. 17, issue 16, 1-21

Abstract: In order to reduce carbon emissions from the power grid, photovoltaic (PV) generation units and controllable nonlinear loads based on power electronic devices are gradually becoming more prevalent in the power system. In a PV grid-connected system featuring controllable nonlinear loads, the interplay among PV grid-connected inverters, the loads, and the grid can potentially lead to voltage oscillations. To tackle this challenge, this paper introduces an optimization-based method for suppressing oscillations, which carefully balances system stability with response performance. Firstly, an impedance model of the system is established by applying the harmonic linearization method, and system stability is analyzed using the “logarithmic frequency stability criterion”. Subsequently, impedance relative sensitivity is used to identify key parameters that affect system stability, and the interaction between key parameters is considered to analyze the stability range for these parameters. On this basis, a parameter optimization method based on the particle swarm optimization algorithm is proposed to balance system stability and response performance. The effectiveness and robustness of this method are verified through a simulation analysis.

Keywords: PV grid-connected inverter; controllable nonlinear load; stability analyzation; parameter optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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