Deriving power uncertainty intervals for low voltage grid state estimation using affine arithmetic

2020 ◽  
Vol 189 ◽  
pp. 106703
Author(s):  
Maximilian Schmidt ◽  
Peter Schegner
Keyword(s):  
State Estimation ◽  
Low Voltage ◽  
Affine Arithmetic

Enhancement of low-voltage ride-through capability of permanent magnet synchronous generator wind turbine by applying state-estimation technique

2020 ◽  
Vol 39 (2) ◽  
pp. 363-377
Author(s):  
Sayyed Ali Akbar Shahriari ◽  
Mohammad Mohammadi ◽  
Mahdi Raoofat
Keyword(s):  
Wind Turbine ◽  
State Estimation ◽  
Low Voltage ◽  
Synchronous Generator ◽  
Estimation Algorithm ◽  
Voltage Measurement ◽  
Content Type ◽  
Low Voltage Ride Through ◽  
Speed Sensor ◽  
Control Scheme

Purpose The purpose of this study is to propose a control scheme based on state estimation algorithm to improve zero or low-voltage ride-through capability of permanent magnet synchronous generator (PMSG) wind turbine. Design/methodology/approach Based on the updated grid codes, during and after faults, it is necessary to ensure wind energy generation in the network. PMSG is a type of wind energy technology that is growing rapidly in the network. The control scheme based on extended Kalman filter (EKF) is proposed to improve the low voltage ride-through (LVRT) capability of the PMSG. In the control scheme, because the state estimation algorithm is applied, the requirement of DC link voltage measurement device and generator speed sensor is removed. Furthermore, by applying this technique, the extent of possible noise on measurement tools is reduced. Findings In the proposed control scheme, zero or low-voltage ride-through capability of PMSG is enhanced. Furthermore, the requirement of DC link voltage measurement device and generator speed sensor is removed and the amount of possible noise on the measurement tools is minimized. To evaluate the ability of the proposed method, four different cases, including short and long duration short circuit fault close to PMSG in the presence and absence of measurement noise are studied. The results confirm the superiority of the proposed method. Originality/value This study introduces EKF to enhance LVRT capability of a PMSG wind turbine.

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.

Field test of a linear three-phase low-voltage state estimation system based on smart meter data

2017 ◽  
Vol 2017 (1) ◽  
pp. 1773-1776 ◽  
Author(s):  
Dominik Waeresch ◽  
Robert Brandalik ◽  
Wolfram H. Wellssow ◽  
Joern Jordan ◽  
Rolf Bischler ◽  
...  
Keyword(s):  
State Estimation ◽  
Field Test ◽  
Low Voltage ◽  
Smart Meter ◽  
Three Phase ◽  
Estimation System

Bad data processing for low voltage state estimation systems based on smart meter data

2016 ◽  
Author(s):  
D. Waeresch ◽  
R. Brandalik ◽  
W.H. Wellssow ◽  
J. Jordan ◽  
R. Bischler ◽  
...  
Keyword(s):  
Data Processing ◽  
State Estimation ◽  
Low Voltage ◽  
Smart Meter ◽  
Bad Data

Testing low voltage network state estimation in RTDS environment

2013 ◽  
Author(s):  
Antti Mutanen ◽  
Sami Repo ◽  
Pertti Jarventausta ◽  
Atte Lof ◽  
Davide Della Giustina
Keyword(s):  
State Estimation ◽  
Low Voltage ◽  
Network State

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.

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