基于改进自抗扰与模糊神经网络的交直流混合配电网电压控制策略OA

With the increasing penetration of distributed photovoltaic and wind power in active distribution net-works,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 hy-brid 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 distribu-tion network voltage is analyzed.Based on this,an improved distributed voltage coordinated control strategy is pro-posed.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 im-proving voltage stability in active distribution networks.