Abstract
Monitoring of distribution systems plays an important role in the enhancement of today's distribution systems for future requirements. Tasks of distribution system operation are becoming more active and the demand for network observability increases. In this study, two innovative methods for quasi-dynamic distribution system state estimation, the extended Kalman filter and the particle filter approach, are evaluated regarding their usability for distribution system operation. Both have been applied to the medium-voltage CIGRE benchmark network and are investigated for different situations of measurement configurations and pseudo-measurement modelling.
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