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

Journal article

Pau, M, Patti, E, Barbierato, L, Estebsari, A, Pons, E, Ponci, F and Monti, A (2019). Design and Accuracy Analysis of Multilevel State Estimation Based on Smart Metering Infrastructure. IEEE Transactions on Instrumentation and Measurement. 68 (11), pp. 4300-4312. https://doi.org/10.1109/TIM.2018.2890399
AuthorsPau, M, Patti, E, Barbierato, L, Estebsari, A, Pons, E, Ponci, F and Monti, A
Abstract

© 1963-2012 IEEE. 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.

Year2019
JournalIEEE Transactions on Instrumentation and Measurement
Journal citation68 (11), pp. 4300-4312
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISSN0018-9456
Digital Object Identifier (DOI)https://doi.org/10.1109/TIM.2018.2890399
Publication dates
Print17 Jan 2019
Publication process dates
Accepted08 Dec 2018
Deposited13 May 2020
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Open
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