A Hundredth Second Perception Method for Power Outage in Distribution Networks Based on Minimum Acquisition

In recent years, the power supply reliability goals of State Grid Corporation have continued to improve, and customers' tolerance to power outages has continuously decreased. The improvement of the perception of power outages in the distribution network is an important foundation for reducing the duration of power outages, improving the timeliness of fault repair, and improving the level of power supply services. Due to the impact of distribution network investment and construction cycle, the distribution automation terminal cannot yet cover all distribution network equipment, and a large number of non-distribution switches cannot be detected in a timely manner after tripping. The average on-site inspection and confirmation time for trip switches is about 45 minutes, and it is not possible to actively carry out fault repair. Especially in severe weather conditions, the number of distribution network faults increases sharply, making it difficult to accurately and quickly perceive branch switch trips that do not cover distribution automation terminals, resulting in incomplete fault information statistics and affecting the overall emergency response capability of the distribution network. At present, due to factors such as unstable signals at some distribution transformer terminals, low priority of power outage information, and dynamic adjustment of distribution network operation mode, the two main problems of “delayed perception of trip time and inaccurate perception of trip switch” cannot be effectively solved, making it difficult to meet the needs of on-site power repair and supply service work. In response to the above issues, this paper comprehensively utilizes existing distribution network monitoring data such as D5000, distribution automation, and procurement systems. Without adding new collection information, it is the industry's first distribution network branch power outage perception technology, achieving comprehensive and timely perception of non-automatic switch power outages in daily and emergency situations, greatly improving the efficiency of distribution network fault recovery and avoiding on-site terminal equipment investment.