Huang Wende
1. School of Mechatronics and Quality Technology Engineering, Nanning University, Nanning 530200, China;BeiDou Innovation and Application Research Center of Guangxi Academy of Sciences, Nanning 530007, ChinaZhang Xiaofei
1. School of Mechatronics and Quality Technology Engineering, Nanning University, Nanning 530200, China;BeiDou Innovation and Application Research Center of Guangxi Academy of Sciences, Nanning 530007, ChinaPang Xiangping
School of Mechatronics and Quality Technology Engineering, Nanning University, Nanning 530200, ChinaZhang Liyun
1. School of Mechatronics and Quality Technology Engineering, Nanning University, Nanning 530200, China;BeiDou Innovation and Application Research Center of Guangxi Academy of Sciences, Nanning 530007, ChinaKang Juan
2. Guangxi BeiDou Tianyu Aerospace Technology Co., Ltd. Nanning 530009, China; 3. BeiDou Innovation and Application Research Center of Guangxi Academy of Sciences, Nanning 530007, ChinaLi jing
2. Guangxi BeiDou Tianyu Aerospace Technology Co., Ltd. Nanning 530009, China; 3. BeiDou Innovation and Application Research Center of Guangxi Academy of Sciences, Nanning 530007, China1. School of Mechatronics and Quality Technology Engineering, Nanning University, Nanning 530200, China; 2. Guangxi BeiDou Tianyu Aerospace Technology Co., Ltd. Nanning 530009, China; 3. BeiDou Innovation and Application Research Center of Guangxi Academy of Sciences, Nanning 530007, China
V1
Aiming at the increasingly complex operation and maintenance problems of power system, this paper combines Beidou precise space-time technology with the theory of digital twin system, and puts forward the method of building the operation and maintenance platform of smart grid. By combining Beidou and Internet of Things sensors, this method can obtain real-time information of power system operating state, equipment working condition and equipment parameters, and take these information as input of digital twin system. By interacting with the actual power system, the digital twin system can form a digital twin operation and maintenance platform that can perform state prediction, fault diagnosis, system self-healing and other functions. The research results show that the method proposed in this paper has reference value for improving the operation and maintenance capability of smart grid.
