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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | van de Water, C.J. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Electr. Power Syst., Netherlands Associate Res., Eindhoven (van de Water, C.J.) |
| Abstract | In the year 2000 the proof of principle for stochastic state estimation (called pseudo monitor) was demonstrated in cooperation with a Dutch utility. Motive of this network company was the decision to construct a data base for monitoring all MV feeders in the substations and prove the important monitoring capabilities of this application for operative and asset management of the network. The main problem turned out to be the collecting of load profiles. In this paper the application of gathering and appointing load profiles of the network are placed in a structure and supported by mathematical definitions. In a second demonstration project more basic know how and skill on load profiles were developed. Experience on standard profiles should be gathered before implementation of these applications in network companies takes place. This paper reaches practical solutions and invite companies to communicate about the desired future research |
| Starting Page | 4 |
| Ending Page | 4 |
| File Size | 179178 |
| Page Count | 1 |
| File Format | |
| ISBN | 9078205024 |
| DOI | 10.1109/FPS.2005.204268 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-11-18 |
| Publisher Place | Netherlands |
| Access Restriction | Subscribed |
| Rights Holder | Senver Novem |
| Subject Keyword | Stochastic processes Power system state estimation Band limited stochastic processes Asset management Load modelling Power system modeling Load flow Load flow analysis Condition monitoring Power system measurements Fluid flow measurement Load measurement Stochastic systems Power system monitoring Power system analysis computing Load profile recognition State estimation Monitoring Power system parameter estimation |
| Content Type | Text |
| Resource Type | Article |
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