Zhejiang Electric Power

2026, v.45;No.359(03) 30-39

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A voltage control strategy for AC/DC hybrid distribution networks based on improved active disturbance rejection control and fuzzy neural networks

HONG Jianjun;GU Yilei;ZHENG Zhenhua;XIE Yongsheng;MAO Junqiang;QI Zongqiang;

Abstract:

With the increasing penetration of distributed photovoltaic and wind power in active distribution networks, system power fluctuations are intensified, leading to frequent voltage violations on both AC and DC buses and posing challenges to the safe and stable operation of distribution networks. To address this issue, an AC/DC hybrid active distribution network with a high proportion of wind, photovoltaic, and energy storage resources is taken as the application scenario. A system model is developed that includes photovoltaic units, energy storage systems, wind turbines, loads, and bidirectional converters. The mechanism by which power fluctuations influence distribution network voltage is analyzed. Based on this, an improved distributed voltage coordinated control strategy is proposed. On the DC side, an active disturbance rejection control scheme based on an error-driven adaptive extended state observer is adopted to enhance the estimation and compensation capability for time-varying disturbances. On the AC side, a fuzzy neural network controller is designed to achieve adaptive optimization of inverter voltage loop parameters. Meanwhile, a power feedforward mechanism is introduced to transmit AC-side fluctuation information to the DC-side energy storage controller, enabling coordinated regulation between the AC and DC subsystems. Finally, simulation results based on MATLAB/Simulink verify the feasibility and effectiveness of the proposed strategy in improving voltage stability in active distribution networks.

Key Words: active distribution network;distributed voltage control;active disturbance rejection control;fuzzy neural network control;coordinated control

Abstract:

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Foundation: 国家自然科学基金(52477082)

Authors: HONG Jianjun;GU Yilei;ZHENG Zhenhua;XIE Yongsheng;MAO Junqiang;QI Zongqiang;

DOI: 10.19585/j.zjdl.202603003

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