Denoising with Singular Value Decomposition for Phase Identification in Power Distribution Systems

Power Distribution ◽

Distribution System ◽

Distribution Systems ◽

Time Series Data ◽

Singular Value ◽

Identification Accuracy ◽

Series Data ◽

Phase Identification ◽

Phase identification is the problem of determining what phase(s) that a load is connected to in a power distribution system. However, real world sensor measurements used for phase identification have some level of noise that can hamper the ability to identify phase connections using data driven methods. Knowing the phase connections is important to keep the distribution system balanced so that parts of the system aren’t overloaded which can lead to inefficient operations, accelerated component degradation, and system destruction at worst. We use Singular Value Decomposition (SVD) with the optimal Singular Value Hard Threshold (SVHT) as part of a feature engineering pipeline to denoise data matrices of voltage magnitude measurements. This approach results in a reduction in frobenius error and an increase in average phase identification accuracy over a year of time series data. K-medoids clustering is used on the denoised voltage magnitude measurements to perform phase identification.

Denoising with Singular Value Decomposition for Phase Identification in Power Distribution Systems

10.36227/techrxiv.15102072.v1 ◽

2021 ◽

Author(s):

Nicholas Zaragoza ◽

Vittal Rao

Keyword(s):

Power Distribution ◽

Distribution System ◽

Distribution Systems ◽

Time Series Data ◽

Singular Value ◽

Identification Accuracy ◽

Series Data ◽

Phase Identification ◽

Phase identification is the problem of determining what phase(s) that a load is connected to in a power distribution system. However, real world sensor measurements used for phase identification have some level of noise that can hamper the ability to identify phase connections using data driven methods. Knowing the phase connections is important to keep the distribution system balanced so that parts of the system aren’t overloaded which can lead to inefficient operations, accelerated component degradation, and system destruction at worst. We use Singular Value Decomposition (SVD) with the optimal Singular Value Hard Threshold (SVHT) as part of a feature engineering pipeline to denoise data matrices of voltage magnitude measurements. This approach results in a reduction in frobenius error and an increase in average phase identification accuracy over a year of time series data. K-medoids clustering is used on the denoised voltage magnitude measurements to perform phase identification.

Singular Value Decomposition Based Approach for Voltage Stability Assessment in Power Distribution Systems

10.1109/ciem52821.2021.9614712 ◽

2021 ◽

Author(s):

Andreea-Georgiana Iantoc ◽

Constantin Bulac ◽

Irina Picioroaga ◽

Dorian O. Sidea ◽

Ion Tristiu

Keyword(s):

Power Distribution ◽

Distribution Systems ◽

Voltage Stability ◽

Singular Value ◽

Stability Assessment ◽

Complete power distribution system representation and state determination for fault location

DYNA ◽

10.15446/dyna.v82n192.48589 ◽

2015 ◽

Vol 82 (192) ◽

pp. 141-149 ◽

Cited By ~ 1

Author(s):

Andres Felipe Panesso-Hernández ◽

Juan Mora-Flórez ◽

Sandra Pérez-Londoño

Keyword(s):

Power Distribution ◽

Distribution System ◽

Distribution Systems ◽

Fault Location ◽

Estimation Error ◽

Distance Estimation ◽

Line Load ◽

Line Section

The impedance-based approaches for fault location in power distribution systems determine a faulted line section. Next, these require of the estimation of the voltages and currents at one or both section line ends to exactly determine the fault location. It is a challenge because in most of the power distribution systems, measurements are only available at the main substation. This document presents a modeling proposal of the power distribution system and an easy implementation method to estimate the voltages and currents at the faulted line section, using the measurements at the main substation, the line, load, transformer parameters and other serial and shunt connected devices and the power system topology. The approach here proposed is tested using a fault locator based on superimposed components, where the distance estimation error is lower than 1.5% in all of the cases.

Active Reduction of Short-Circuit Current in Power Distribution Systems

Energies ◽

10.3390/en13020334 ◽

2020 ◽

Vol 13 (2) ◽

pp. 334

Author(s):

Esteban Pulido ◽

Luis Morán ◽

Felipe Villarroel ◽

José Silva

Keyword(s):

Power Distribution ◽

Distribution System ◽

Distribution Systems ◽

Short Circuit ◽

Circuit Breaker ◽

Short Circuit Current ◽

Power Converter ◽

In Series

In this paper, a new concept of short-circuit current (SCC) reduction for power distribution systems is presented and analyzed. Conventional fault current limiters (FCLs) are connected in series with a circuit breaker (CB) that is required to limit the short-circuit current. Instead, the proposed scheme consisted of the parallel connection of a current-controlled power converter to the same bus intended to reduce the amplitude of the short-circuit current. This power converter was controlled to absorb a percentage of the short-circuit current from the bus to reduce the amplitude of the short-circuit current. The proposed active short-circuit current reduction scheme was implemented with a cascaded H-bridge power converter and tested by simulation in a 13.2 kV industrial power distribution system for three-phase faults, showing the effectiveness of the short-circuit current attenuation in reducing the maximum current requirement in all circuit breakers connected to the same bus. The paper also presents the design characteristics of the power converter and its associated control scheme.

Flexibility Enhancement in an Islanded Distribution Power System by Online Demand-Side Management

EPJ Web of Conferences ◽

10.1051/epjconf/201921701020 ◽

2019 ◽

Vol 217 ◽

pp. 01020 ◽

Cited By ~ 1

Author(s):

Margarita Chulyukova ◽

Nikolai Voropai

Keyword(s):

Power System ◽

Power Distribution ◽

Distribution System ◽

Distribution Systems ◽

Load Shedding ◽

Load Management ◽

Daily Maximum ◽

Islanded Operation

The paper considers the possibilities of increasing the flexibility of power distribution systems by real-time load management. The principles of the implementation of special automatic systems for this purpose are proposed. These systems enable some loads of specific consumers of the power distribution system switched to islanded operation to “shift” from the daily maximum to the minimum, which makes some generators available to connect certain essential consumers disconnected earlier by under-frequency load shedding system to the power system. The approach under consideration is illustrated by a power system with distributed generation.

Toward efficacy of piecewise polynomial truncated singular value decomposition algorithm in moving force identification

Advances in Structural Engineering ◽

10.1177/1369433219849817 ◽

2019 ◽

Vol 22 (12) ◽

pp. 2687-2698 ◽

Cited By ~ 3

Author(s):

Zhen Chen ◽

Lifeng Qin ◽

Shunbo Zhao ◽

Tommy HT Chan ◽

Andy Nguyen

Keyword(s):

Singular Values ◽

Singular Value ◽

Decomposition Algorithm ◽

Identification Accuracy ◽

Piecewise Polynomial ◽

Truncated Singular Value Decomposition ◽

Force Identification ◽

Moving Force ◽

This article introduces and evaluates the piecewise polynomial truncated singular value decomposition algorithm toward an effective use for moving force identification. Suffering from numerical non-uniqueness and noise disturbance, the moving force identification is known to be associated with ill-posedness. An important method for solving this problem is the truncated singular value decomposition algorithm, but the truncated small singular values removed by truncated singular value decomposition may contain some useful information. The piecewise polynomial truncated singular value decomposition algorithm extracts the useful responses from truncated small singular values and superposes it into the solution of truncated singular value decomposition, which can be useful in moving force identification. In this article, a comprehensive numerical simulation is set up to evaluate piecewise polynomial truncated singular value decomposition, and compare this technique against truncated singular value decomposition and singular value decomposition. Numerically simulated data are processed to validate the novel method, which show that regularization matrix [Formula: see text] and truncating point [Formula: see text] are the two most important governing factors affecting identification accuracy and ill-posedness immunity of piecewise polynomial truncated singular value decomposition.

Islanding Detection in Rural Distribution Systems

Energies ◽

10.3390/en13205503 ◽

2020 ◽

Vol 13 (20) ◽

pp. 5503

Author(s):

Wen Fan ◽

Ning Kang ◽

Robert Hebner ◽

Xianyong Feng

Keyword(s):

Power Distribution ◽

Distribution System ◽

Distribution Systems ◽

Islanding Detection ◽

Distribution Grid ◽

University Of Texas ◽

Intelligent Sensors ◽

Detection Approach ◽

The University

This paper summarizes the literature on detection of islanding resulting from distributed generating capabilities in a power distribution system, with emphasis on the rural distribution systems. It is important to understand the legacy technology and equipment in the rural distribution electrical environment due to the growth of power electronics and the potential for adding the new generations of intelligent sensors. The survey identified four areas needing further research: 1. Robustness in the presence of distribution grid disturbances; 2. the future role of artificial intelligence in the islanding application; 3. more realistic standard tests for the emerging electrical environment; 4. smarter sensors. In addition, this paper presents a synchro-phasor-based islanding detection approach based on a wireless sensor network developed by the University of Texas at Austin. Initial test results in a control hardware-in-the-loop (CHIL) simulation environment suggest the effectiveness of the developed method.

Shunt Petersen-Coil with Resistor for Single Phase Fault Detection in Resonant Grounded Power Distribution Systems

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.860-863.2007 ◽

2013 ◽

Vol 860-863 ◽

pp. 2007-2012 ◽

Cited By ~ 1

Author(s):

Xiao Meng ◽

Neng Ling Tai ◽

Yan Hu ◽

Xia Yang

Keyword(s):

Power Distribution ◽

Distribution System ◽

Distribution Systems ◽

Single Phase ◽

Detection Sensitivity ◽

Multi Level ◽

The Difference ◽

Petersen Coil

The failure current in resonant grounder power distribution system is small, so it is difficult to detect the fault feeder. This passage presents the equivalent circuit of resonant grounded system, and discusses the difference of electrical characteristics between faulty feeder and sound feeders by using shunt resistors. To reduce the influence of shunt resistors on the system and improve the detection sensitivity, it presents the method of shunting multi-level resistors, and it proves the sensitivity and reliability of this method by EMTP simulation.

Planning of Distribution System with High Penetration Level for Distributed Generation in Smart Grid

International Journal of Current Engineering and Technology ◽

10.14741/ijcet/v.8.3.13 ◽

2018 ◽

Vol 8 (3) ◽

Cited By ~ 2

Author(s):

Reza Tajik

Keyword(s):

Smart Grid ◽

Power Systems ◽

Power Distribution ◽

Distribution System ◽

Distribution Systems ◽

Distribution Networks ◽

Planning Problem ◽

Renewable Energy Resources ◽

High Penetration

Nowadays, the utilization of renewable energy resources in distribution systems (DSs) has been rapidly increased. Since distribution generation (DG) use renewable resources (i.e., biomass, wind and solar) are emerging as proper solutions for electricity generation. Regarding the tremendous deployment of DG, common distribution networks are undergoing a transition to DSs, and the common planning methods have become traditional in the high penetration level. Indeed, in conformity with the voltage violation challenge of these resources, this problem must be dealt with too. So, due to the high penetration of DG resources and nonlinear nature of most industrial loads, the planning of DG installation has become an important issue in power systems. The goal of this paper is to determine the planning of DG in distribution systems through smart grid to minimize losses and control grid factors. In this regard, the present work intending to propose a suitable method for the planning of DSs, the key properties of DS planning problem are evaluated from the various aspects, such as the allocation of DGs, and planning, and high-level uncertainties. Also depending on these analyses, this universal literature review addressed the updated study associated with DS planning. In this work, an operational design has been prepared for a higher performance of the power distribution system in the presence of DG. Artificial neural network (ANN) has been used as a method for voltage monitoring and generation output optimization. The findings of the study show that the proposed method can be utilized as a technique to improve the process of the distribution system under various penetration levels and in the presence of DG. Also, the findings revealed that the optimal use of ANN method leads to more controllable and apparent DS.