Some of the traditional power distribution network fault location, isolation, and service restoration (FLISR) tasks were conducted with feeder automation (FA), which is part of the distribution automation (DA) system. Existing FA scheme have issues such as long fault processing time, due to centralized decision making. In this paper, a FLISR scheme for distribution network based on edge computing and 5G is proposed. Three key technologies of the scheme are introduced: ① Edge computing servers with local terminal units (LTU); ② FLISR algorithms with software-defined control and edge-cloud collaboration; ③ 5G integrated with edge computing (MEC). The proposed scheme is the first case with integrated 5G and MEC in DA applications, which can effectively shorten the fault processing time as evidenced by the deployed system’s performance.
Traditional field gas station monitoring follows a pyramid control system scheme, and the system was divided into 4 layers: field, control, monitoring, and management. With the advance of technologies, two problems appear: 1). A variety of specialty controllers contribute to the control of a field gas station, each has its own HMI, the SCADA of the monitoring layer focuses on the integration of HMI functions, not on collection and analysis of big data. 2). To build an edge-cloud collaboration big data platform, data from all field gas stations are required, the traditional PLCs of the control layer and the SCADA system of the monitoring layer do not have enough computing power to collect and process data from all of the controllers. This paper proposed a software-defined PLC technology to integrate the control function of the control layer and the HMI function of the monitoring layer into an edge computing server with 5G support, that provide unified data acquisition, display, and data access functionalities on the premise, and support the required data collection for the cloud. This has been proven to be a consolidated and cost effective approach with improved customer values.
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