The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents an innovation graph technique partitioned algorithm to identify multiple interacted bad data, topology changes and topology errors for the real-time large-scale electric network. First, the innovation graph technique is introduced and the reason that the innovation graph technique cannot adapt to large-scale electric network is analyzed. Second, an innovation graph technique partitioned...
This paper presents a method which reduces error of the innovation graph technique that researches power system state estimation. This method makes sure that Innovation graph technique can identify multiple bad data, topology changes and topology errors more accurately in large-scale electric network. First, the innovation graph technique is introduced and the error source of the innovation graph...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.