含光伏电站和蓄电池储能系统的主动配电系统状态估计

The large-scale integration of distributed energy resources with intermittent and stochastic volatility, the random charging and discharging of energy storage system and electric vehicles, and measurement errors of the intelligent measuring devices make the situational awareness of active distribution systems face some challenges. Considering the influencing factors such as the solar irradiance, the temperature, and the state of charge (SOC) of batteries, a state estimation model for the active distribution systems is developed including integrated photovoltaic power generation systems, the distribution network, and battery energy storage systems. Firstly, based on the photovoltaic five-parameter model and the battery internal resistance model, the measurement functions and the Jacobian matrix of the photovoltaic systems and battery energy storage systems are derived. Then, combined with the state estimation model of the distribution network, the electrical quantity and non-electrical quantity are uniformly standardized, and the state estimation and bad data processing of the active distribution systems are performed. Finally, the simulation is carried out in IEEE 33-node system. The simulation results show that, compared with the conventional model which only takes the photovoltaic system and the battery energy storage system as PQ nodes, the proposed method significantly expands the scopes and capabilities of state estimation and bad data processing in the photovoltaic system and battery energy storage system, and improves the accuracy of the state estimation of the distribution network.