Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

Latent Neural ODE for Integrating Multi-Timescale Measurements in Smart Distribution Grids

Conference ·
; ; ;

Under a smart grid paradigm, there has been an increase in sensor installations to enhance situational awareness. The measurements from these sensors can be leveraged for real-time monitoring, control, and protection. However, these measurements are typically irregularly sampled. These measure-ments may also be intermittent due to communication bandwidth limitations. To tackle this problem, this paper proposes a novel latent neural ordinary differential equations (LODE) approach to aggregate the unevenly sampled multivariate time-series measurements. The proposed approach is flexible in performing both imputations and predictions while being computationally efficient. Simulation results on IEEE 37 bus test systems illustrate the efficiency of the proposed approach.

Research Organization:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
DOE Contract Number:
AC36-08GO28308
OSTI ID:
1974030
Report Number(s):
NREL/CP-5D00-86284; MainId:87057; UUID:c5150a12-4851-44a7-83cc-1fc36842f09f; MainAdminID:69523
Resource Relation:
Conference: Presented at the 2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 16-19 January 2023, Washington, D.C.
Country of Publication:
United States
Language:
English

References (12)

Recursive Gaussian Process over graphs for Integrating Multi-timescale Measurements in Low-Observable Distribution Systems journal January 2022
Fast and reliable distribution load and state estimator journal August 2013
Electric Power Network State Tracking From Multirate Measurements journal January 2018
Extended Kalman Filter-Based Parallel Dynamic State Estimation journal May 2015
Distribution System State Estimation Using an Artificial Neural Network Approach for Pseudo Measurement Modeling journal November 2012
State estimation for real-time monitoring of distribution systems journal January 1994
State estimation of medium voltage distribution networks using smart meter measurements journal December 2016
Multi Time-scale Imputation aided State Estimation in Distribution System conference July 2021
Hybrid power system state estimation with irregular sampling conference July 2017
Sparsity Based Approaches for Distribution Grid State Estimation - A Comparative Study journal January 2020
State Estimation in Two Time Scales for Smart Distribution Systems journal January 2015
Dynamic Matrix Completion Based State Estimation in Distribution Grids journal January 2022

Similar Records

Related Subjects

POWER TRANSMISSION AND DISTRIBUTION
multi time-scale measurements
neural ordinary differential equations
smart distribution system
variational autoencoder