|ZHANG Kexin,DOU Xiaobo,LI Weiqi,HU Yongming,YU Jingwen,DAI Ruipeng.Voltage optimization technology of active distribution network based on measurement data completion[J].Electric Power Automation Equipment,2023,43(11):67-74
|关键词: 增强生成对抗网络 非实时观测 数据补全 补全误差修正 电压优化
|Voltage optimization technology of active distribution network based on measurement data completion
ZHANG Kexin, DOU Xiaobo, LI Weiqi, HU Yongming, YU Jingwen, DAI Ruipeng
School of Electrical Engineering, Southeast University, Nanjing 210096, China
|Due to the influence of distributed new energy, the active distribution network has the risk of exceeding the limit of voltage, but the real-time measurement of the distribution network can only be partially observed, and the optimization problem cannot be solved. Aiming at this problem, a voltage optimization technology of active distribution network based on measurement data completion is proposed. In the state where only real-time measurements of some nodes can be obtained, the augmented generative adversarial network completion algorithm is used to obtain the complete distribution network measurement data. According to the real-time data of the completion, taking the completion error into account, the voltage error correction model is designed, the optimized voltage target is revised, and the voltage of the distribution network is optimized when the voltage exceeds the limit, so as to improve the voltage quality. The IEEE 33-bus example verifies that the proposed method can complete the missing measurement data with high precision compared with the generative adversarial network in the case of partial real-time observation, reduce the voltage fluctuation, and improve the stability of the distribution network operation.
|Key words: boost-generative adversarial network non-real-time observation data completion completion error correction voltage optimization