scholarly journals Three-Phase State Estimation of a Low-Voltage Distribution Network with Kalman Filter

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7421
Author(s):  
Fabio Napolitano ◽  
Juan Diego Rios Penaloza ◽  
Fabio Tossani ◽  
Alberto Borghetti ◽  
Carlo Alberto Nucci
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Phase State ◽  
Low Voltage ◽  
Distribution Network ◽  
Estimation Algorithm ◽  
The State ◽  
Voltage Distribution ◽  
Smart Meters ◽  
Three Phase

The state estimation of distribution networks has long been considered a challenging task for the reduced availability of real-time measures with respect to the transmission network case. This issue is expected to be improved by the deployment of modern smart meters that can be polled at relatively short time intervals. On the other hand, the management of the information coming from many heterogeneous meters still poses major issues. If low-voltage distribution systems are of interest, a three-phase formulation should be employed for the state estimation due to the typical load imbalance. Moreover, smart meter data may not be perfectly synchronized. This paper presents the implementation of a three-phase state estimation algorithm of a real portion of a low-voltage distribution network with distributed generation equipped with smart meters. The paper compares the typical state estimation algorithm that implements the weighted least squares method with an algorithm based on an iterated Kalman filter. The influence of nonsynchronicity of measurements and of delays in communication and processing is analyzed for both approaches.

scholarly journals Smart meters as a key component of modern measuring infrastructure providing observability and state estimation of low-voltage distribution networks

2018 ◽  
Vol 69 ◽  
pp. 02012
Author(s):  
Yana Kuzkina ◽  
Irina Golub
Keyword(s):  
State Estimation ◽  
Low Voltage ◽  
Distribution Network ◽  
Distribution Networks ◽  
The State ◽  
Voltage Distribution ◽  
Smart Meters ◽  
The Real ◽  
Real Distribution

The paper presents a solution to the problem of organization of a system for collecting and transmitting information about measurements from smart meters necessary for the state estimation of a low-voltage distribution network. The problems of providing the sufficiency of measurements for the observability of the network and the influence of errors in the information about load connection to phases on the quality of the observability are considered. The results of allocation of smart meters and the state estimation of the real distribution network are given.

scholarly journals Robust and Fast State Estimation for Poorly-Observable Low Voltage Distribution Networks Based on the Kalman Filter Algorithm

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4457 ◽  
Author(s):  
Antončič ◽  
Papič ◽  
Blažič
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Low Voltage ◽  
Least Squares Method ◽  
Weighted Least Squares ◽  
Measurement Data ◽  
Estimation Algorithm ◽  
Distribution Networks ◽  
Voltage Distribution ◽  
State Estimator

This paper presents a novel approach for the state estimation of poorly-observable low voltage distribution networks, characterized by intermittent and erroneous measurements. The developed state estimation algorithm is based on the Extended Kalman filter, where we have modified the execution of the filtering process. Namely, we have fixed the Kalman gain and Jacobian matrices to constant matrices; their values change only after a larger disturbance in the network. This allows for a fast and robust estimation of the network state. The performance of the proposed state-estimation algorithm is validated by means of simulations of an actual low-voltage network with actual field measurement data. Two different cases are presented. The results of the developed state estimator are compared to a classical estimator based on the weighted least squares method. The comparison shows that the developed state estimator outperforms the classical one in terms of calculation speed and, in case of spurious measurements errors, also in terms of accuracy.

scholarly journals A complete state estimation algorithm for a three-phase four-wire low voltage distribution system with high penetration of solar PV

2021 ◽  
Vol 124 ◽  
pp. 106332 ◽  
Author(s):  
Wele Gedara Chaminda Bandara ◽  
Dilini Almeida ◽  
Roshan Indika Godaliyadda ◽  
Mervyn Parakrama Ekanayake ◽  
Janaka Ekanayake
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Low Voltage ◽  
Estimation Algorithm ◽  
Solar Pv ◽  
Voltage Distribution ◽  
High Penetration ◽  
Three Phase ◽  
Complete State

scholarly journals Three-Phase State Estimation for Distribution-Grid Analytics

2021 ◽  
Vol 3 (2) ◽  
pp. 395-408
Author(s):  
Karthikeyan Nainar ◽  
Florin Iov
Keyword(s):  
State Estimation ◽  
Phase State ◽  
Low Voltage ◽  
Real Life ◽  
Estimation Algorithm ◽  
Smart Meter ◽  
Power Losses ◽  
Distribution Grid ◽  
Three Phase ◽  
Distribution Grids

Power-distribution grids consist of assets such as transformers, cables, and switches, of which the proper utilization is essential for the provision of a secure and reliable power supply to end customers. Distribution-system operators (DSOs) are responsible for the operation and maintenance of these assets. Due to the increased use of renewable sources such as wind and solar, grid assets are prone to operation conditions outside safe boundaries, such as overloading, large voltage unbalance, and a rise in voltage. At present, distribution grids are poorly monitored by DSOs, and the above-mentioned problems may thereby go unnoticed until the failure of a critical asset occurs. The deployment of smart meters in distribution grids has enabled measurements of grid variables such as power, current, and voltage. However, their measurements are used only for billing purposes, and not for monitoring and improving the operating condition of distribution grids. In this paper, a state-estimation algorithm is proposed that utilizes smart-meter data for offline analysis, and estimates the loading of grid assets and power losses. Single- and three-phase state-estimation algorithms are compared through simulation studies on a real-life low-voltage distribution grid using measured smart-meter data. The three-phase state-estimation algorithm based on the nonlinear weighted least-squares method was found to be more accurate in estimating cable loading and line power losses. The proposed method is useful for DSOs to analyze power flows in their distribution grids and take necessary actions such as grid upgrades or the rerouting of power flows.

scholarly journals Smart Meter Measurement-Based State Estimation for Monitoring of Low-Voltage Distribution Grids

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5367 ◽  
Author(s):  
Karthikeyan Nainar ◽  
Florin Iov
Keyword(s):  
State Estimation ◽  
Real Time ◽  
Low Voltage ◽  
Weighted Least Squares ◽  
Real Life ◽  
Estimation Algorithm ◽  
The State ◽  
Smart Meter ◽  
Voltage Distribution ◽  
Distribution Grids

The installation of smart meters at customer premises provides opportunities for the monitoring of distribution grids. This paper addresses the problem of improving the observability of low-voltage distribution grids using smart metering infrastructure. In particular, this paper deals with the application of state estimation algorithm using smart meter measurements for near-real-time monitoring of low-voltage distribution grids. This application is proposed to use a nonlinear weighted least squares method-based algorithm for estimating the node voltages from minimum number of smart meter measurements. This paper mainly deals with sensitivity analysis of the state estimation algorithm with respect to multiple uncertainties for, e.g., measurements errors, line parameter errors, and pseudo-measurements. Simulation studies are conducted to estimate the accuracy of the DSSE under various operating scenarios of a real-life low-voltage grid, and cost-effective ways to improve the accuracy of the state estimation algorithm are also evaluated. The paper concludes that by using smart meter measurements from few locations, voltage profiles of the low-voltage grid can be estimated with reasonable accuracy in near-real-time.

scholarly journals Full-Observable Three-Phase State Estimation Algorithm Applied to Electric Distribution Grids

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1327 ◽  
Author(s):  
Thiago Soares ◽  
Ubiratan Bezerra ◽  
Maria Tostes
Keyword(s):  
State Estimation ◽  
Real Time ◽  
Distribution Systems ◽  
Phase State ◽  
Reactive Power ◽  
Estimation Algorithm ◽  
Load Flow ◽  
Electrical Network ◽  
The Real ◽  
Three Phase

This paper proposes the development of a three-phase state estimation algorithm, which ensures complete observability for the electric network and a low investment cost for application in typical electric power distribution systems, which usually exhibit low levels of supervision facilities and measurement redundancy. Using the customers´ energy bills to calculate average demands, a three-phase load flow algorithm is run to generate pseudo-measurements of voltage magnitudes, active and reactive power injections, as well as current injections which are used to ensure the electrical network is full-observable, even with measurements available at only one point, the substation-feeder coupling point. The estimation process begins with a load flow solution for the customers´ average demand and uses an adjustment mechanism to track the real-time operating state to calculate the pseudo-measurements successively. Besides estimating the real-time operation state the proposed methodology also generates nontechnical losses estimation for each operation state. The effectiveness of the state estimation procedure is demonstrated by simulation results obtained for the IEEE 13-bus test network and for a real urban feeder.

scholarly journals Study on closed loop operation of low voltage distribution network under three-phase unbalanced condition

2018 ◽  
Vol 108 ◽  
pp. 052124
Author(s):  
Jing Zhang ◽  
Ming Jin ◽  
Yunguo Cheng ◽  
Dejun Wang ◽  
Kang Zhou ◽  
...  
Keyword(s):  
Closed Loop ◽  
Low Voltage ◽  
Distribution Network ◽  
Voltage Distribution ◽  
Three Phase
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