Design and Accuracy Analysis of Multilevel State Estimation Based on Smart Metering Infrastructure

While the initial aim of smart meters is to provide energy readings for billing purposes, the availability of these measurements could open new opportunities for the management of future distribution grids. This paper presents a multilevel state estimator that exploits the smart meter measurements f...

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Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2019-11, Vol.68 (11), p.4300-4312
Main Authors: Pau, Marco, Patti, Edoardo, Barbierato, Luca, Estebsari, Abouzar, Pons, Enrico, Ponci, Ferdinanda, Monti, Antonello
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Cloud computing
Cloud platform
Computer architecture
Computer simulation
Coordination
distributed estimation
distribution grid monitoring
distribution system automation
Infrastructure
Mathematical analysis
measurement uncertainty
Monitoring
Multilevel
Smart meters
State estimation
state estimation (SE)
Uncertainty
Weight measurement
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Summary:While the initial aim of smart meters is to provide energy readings for billing purposes, the availability of these measurements could open new opportunities for the management of future distribution grids. This paper presents a multilevel state estimator that exploits the smart meter measurements for monitoring both low and medium voltage grids. The goal of this paper is to present an architecture that is able to efficiently integrate smart meter measurements and to show the accuracy performance achievable if the use of real-time smart meter measurements for state estimation purposes was enabled. The design of the state estimator applies the uncertainty propagation theory for the integration of the data at different hierarchical levels. The coordination of the estimation levels is realized through a cloud-based infrastructure, which also provides the interface to auxiliary functions and the access to the estimation results for other distribution grid management applications. A mathematical analysis is performed to characterize the estimation algorithm in terms of accuracy and to show the performance achievable at different levels of the distribution grid when using the smart meter data. Simulations are presented, which validate the analytical results and demonstrate the operation of the multilevel estimator in coordination with the cloud-based platform.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2018.2890399