考 虑 量 测 数 据 质 量 的 集 成 储 能 智 能 软 开 关 数 据 驱 动 电 压 控 制

The high proportion of the access of distributed generators makes the voltage control problem of the distribution network more and more urgent. Compared with the traditional voltage regulation devices in distribution networks, the new power electronic devices represented by the energy storage integrated soft open point (ESOP) have more flexible and rapid voltage regulation capability. The actual distribution network parameters are difficult to obtain; the operation scenario is complex and changeable; and the control method based on the physical model is often difficult to adapt to the change of system operation state. Therefore, a data-driven voltage control method of ESOP considering the measured data quality is proposed. First, a data-driven control model of ESOP is established based on the model-free adaptive predictive control method. Then, considering the measurement error of actual measurement data in the data-driven process, the bad data identification and measurement disturbance suppression method are used to process the measurement data. A data-driven voltage control method of ESOP considering the measurement data quality is proposed to reduce the impact of measurement error on the data-driven control process. Finally, a practical distribution network example with a four-terminal ESOP is used for verification analysis. The results show that the proposed data-driven voltage control method of ESOP can effectively solve the problem that distribution network parameters are difficult to obtain accurately, significantly reduce the adverse effects caused by measurement errors, and comprehensively improve the voltage control level of distribution networks.