A Robust Linear Active Disturbance Rejection Control for Renewable Energy Grid-Connected System Based on APF

Zhenqing Zhao, Kai Song, Boyan Huang (), Cong Li, Shulin Jiang, Jiangbo Sun, Hongxu Li and Zihui Lian
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Zhenqing Zhao: College of Electrical Engineering and Information, Northeast Agricultural University, Harbin 150030, China
Kai Song: College of Electrical Engineering and Information, Northeast Agricultural University, Harbin 150030, China
Boyan Huang: College of Electrical Engineering and Information, Northeast Agricultural University, Harbin 150030, China
Cong Li: College of Electrical Engineering and Information, Northeast Agricultural University, Harbin 150030, China
Shulin Jiang: College of Electrical Engineering and Information, Northeast Agricultural University, Harbin 150030, China
Jiangbo Sun: College of Electrical Engineering and Information, Northeast Agricultural University, Harbin 150030, China
Hongxu Li: College of Electrical Engineering and Information, Northeast Agricultural University, Harbin 150030, China
Zihui Lian: College of Electrical Engineering and Information, Northeast Agricultural University, Harbin 150030, China

Sustainability, 2025, vol. 17, issue 2, 1-25

Abstract: With the energy transition and changes in electrical load structures, harmonic distortion in power systems is increasingly threatening grid stability, especially during the integration of renewable energy sources. Active power filters (APFs) are commonly used to improve power quality, but current fluctuations and voltage instability caused by DC-side capacitor charging and discharging hinder effective harmonic compensation. To address this, this paper presents a method combining a variable-step-size adaptive linear predictor with linear active disturbance rejection control (VALP-LADRC). By integrating an adaptive linear predictor (ALP) with LADRC, the proposed method effectively reduces the impact of disturbances on control, improving voltage regulation and harmonic compensation, and enhancing renewable energy grid integration. To address delays during the adjustment of initial parameters in the adaptive predictor, we combine it with a variable-step-size algorithm, significantly improving disturbance rejection and tracking accuracy, while solving voltage drop issues. The simulation results in a photovoltaic grid-connected system show that VALP-LADRC effectively mitigates disturbances, ensures voltage stability, and enhances power quality. This approach offers a promising solution for supporting sustainable development through better renewable energy integration and improved power quality.

Keywords: renewable energy; linear active disturbance rejection control; adaptive linear predictor; variable-step-size algorithm; photovoltaic (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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