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• W2899297825 abstract "Distribution grids are becoming active and highly complex systems. In this scenario, monitoring of the distribution network is key to ensure its efficient and reliable operation. While distribution state estimation techniques have been proposed to this purpose, their practical use in the field is challenging, mainly due to the lack of a redundant measurement infrastructure. This issue often prevents the operation of bad data detection and identification functions, which are essential to filter out possible bad measurements that would lead to misleading estimation results. This paper aims at investigating the bad data detection and identification capabilities of distribution system state estimation algorithms when a measurement infrastructure composed of end-user smart meters is used. A mathematical analysis is performed to understand the achievable results depending on number and accuracy of the smart meter devices. Analytical findings are then validated by means of ad hoc simulations." @default.
• W2899297825 created "2018-11-09" @default.
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• W2899297825 date "2018-06-01" @default.
• W2899297825 modified "2023-10-02" @default.
• W2899297825 title "Analysis of Bad Data Detection Capabilities Through Smart Meter Based State Estimation" @default.
• W2899297825 cites W1563294863 @default.
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• W2899297825 doi "https://doi.org/10.1109/eeeic.2018.8494551" @default.
• W2899297825 hasPublicationYear "2018" @default.
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