Research on Automatic Checking of Protection Functions for Smart Substation

2014 ◽  
Vol 1028 ◽  
pp. 200-207
Author(s):  
Yan Lu ◽  
Yan Peng Zhang ◽  
Ye Tian

The considerable variability of architecture and function realization of smart substation, which differ from traditional substations, makes the range of protection function check no longer restricted to one device, so it is necessary to carry out thorough monitoring and testing for various inks of functional implementation [1-2]. For this purpose, the automatic checking of protection functions for smart substation is researched, and a scheme for the implementation of the automatic checking is designed [3-4]. By means of adding various checking manners to application software implementation of the devices of protection system for smart substation, the checking and detection of various function implementation links of the protection system are performed, and by use of the expert system based on Dempster-Shafer theory a real-time virtual checking scheme is configured and through real-time analysis on checking information the conclusion of the checking is obtained. The proposed scheme enhances the self-diagnosis and self-monitoring ability of protection system for smart substation and gives full play to the superiority in digital information acquisition and information interaction of digital substation, so it can be used to the checking during on-site commissioning, besides, partial functions can be also used to perform on-line monitoring of protections being operated [5-9].

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 352
Author(s):  
Chunlei Yu ◽  
Veronique Cherfaoui ◽  
Philippe Bonnifait ◽  
Dian-ge Yang

Occupancy grid is a popular environment model that is widely applied for autonomous navigation of mobile robots. This model encodes obstacle information into the grid cells as a reference of the space state. However, when navigating on roads, the planning module of an autonomous vehicle needs to have semantic understanding of the scene, especially concerning the accessibility of the driving space. This paper presents a grid-based evidential approach for modeling semantic road space by taking advantage of a prior map that contains lane-level information. Road rules are encoded in the grid for semantic understanding. Our approach focuses on dealing with the localization uncertainty, which is a key issue, while parsing information from the prior map. Readings from an exteroceptive sensor are as well integrated in the grid to provide real-time obstacle information. All the information is managed in an evidential framework based on Dempster–Shafer theory. Real road results are reported with qualitative evaluation and quantitative analysis of the constructed grids to show the performance and the behavior of the method for real-time application.


Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.


2020 ◽  
Vol 67 (4) ◽  
pp. 1197-1205 ◽  
Author(s):  
Yuki Totani ◽  
Susumu Kotani ◽  
Kei Odai ◽  
Etsuro Ito ◽  
Manabu Sakakibara

2021 ◽  
Vol 2021 (4) ◽  
pp. 7-16
Author(s):  
Sivaraman Eswaran ◽  
Aruna Srinivasan ◽  
Prasad Honnavalli

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