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 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 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.

Branch-Current Algorithm Based Three-Phase State Estimation in Distribution System

2013 ◽  
Vol 860-863 ◽  
pp. 1963-1966
Author(s):  
Hai Feng Liang ◽  
Xiao Lei Yu ◽  
Ding Hui Shen ◽  
Jing Zhang ◽  
Cheng Shan Wang
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Estimation Algorithm ◽  
Current Amplitude ◽  
State Variables ◽  
Simulation Test ◽  
Three Phase ◽  
Current Algorithm ◽  
Power Measurements ◽  
Performance Of Algorithm

This paper presents a branch-current distribution system state estimation algorithm considering zero-injection constraints. The algorithm takes the branch-current amplitude and phase angle as state variables, considering current-amplitude measurement easily without measurements conversion and makes full use of voltage amplitude measurements, power measurements and current measurements. In order to improve the robust performance of algorithm, exponential function is adopted as the objective function in this paper. The paper takes simulation test to verify the algorithm correctly and effectively on improved IEEE 34 nodes system.

EVALUATION OF A THREE-PHASE DISTRIBUTION SYSTEM STATE ESTIMATION FOR OPERATIONAL USE IN A REAL LOW VOLTAGE GRID

2021 ◽  
Author(s):  
Heiner Früh ◽  
Krzysztof Rudion ◽  
Alix von Haken ◽  
Daniel Groß ◽  
Bartholomäus Wasowicz
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Low Voltage ◽  
Phase Distribution ◽  
System State ◽  
Three Phase

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 Rooftop Photovoltaic-Battery Systems to Mitigate Overvoltage and Under Voltage in a Residential Low Voltage Distribution System

2020 ◽  
Vol 190 ◽  
pp. 00028
Author(s):  
Praphawadee Charoenwattana ◽  
Umarin Sangpanich
Keyword(s):  
Energy Storage ◽  
Distribution System ◽  
Low Voltage ◽  
Storage Systems ◽  
Peak Time ◽  
Photovoltaic Systems ◽  
Voltage Distribution ◽  
Energy Storage Systems ◽  
High Penetration ◽  
Battery Systems

High penetration of rooftop photovoltaic systems in a residential low voltage distribution system has to be controlled in order to maintain stable voltage condition. Energy storage systems, such as batteries, can be used to absorb excess energy of photovoltaic systems and to shave peak load during on-peak time. This paper proposes guiding principles for the incorporation of energy storage systems into a residential low voltage distribution system with high penetration of rooftop photovoltaic systems. Real residential distribution system circuits and all parameters from the Geographic Information System database of the Provincial Electricity Authority in Thailand were used for simulation analysis to study the application of energy storage systems for regulating voltage in a range of the nominal voltage by 10 %. Solar radiation data from the PVGIS were used. The voltage results were simulated by using the DIgSILENT Power Factory program. Based on the simulation, it was found that the overvoltage and under voltage protection and energy loss reduction could be achieved by (i) installing small battery systems in households and (ii) installing battery stations within the vicinity of the transformer or the weakest point of the circuit.

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.

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