scholarly journals Practical Method for Data-Driven User Phase Identification in Low-Voltage Distribution Networks

2021 ◽  
Vol 9 ◽  
Author(s):  
Huang Yu ◽  
Yufeng Wu ◽  
Weiling Guan ◽  
Daolu Zhang ◽  
Tao Yu ◽  
...  
Keyword(s):  
Smart Grids ◽  
Distribution Systems ◽  
Low Voltage ◽  
Phase Distribution ◽  
Distribution Networks ◽  
Data Driven ◽  
Phase Identification ◽  
Identification Algorithm ◽  
Voltage Distribution ◽  
Phase Connectivity

For low-voltage distribution networks (LVDNs), accurate models depicting network and phase connectivity are crucial to the analysis, planning, and operation of these networks. However, phase connectivity data in the LVDN are usually incorrect or missing. Wrong or incomplete phase information collected could lead to unbalanced operation of three-phase distribution systems and increased power loss. Based on the advanced measurement infrastructure (AMI) in the development of smart grids, in this study, a novel data-driven phase identification algorithm is proposed. Firstly, the method involves extracting features from voltage–time matrices using a non-linear dimension reduction algorithm. Secondly, the density-based spatial clustering of applications with noise (DBSCAN) algorithm is used to divide customers into clusters with arbitrary shape. Finally, the algorithms were tested with the IEEE European Low Voltage Test Feeder of the IEEE PES AMPS DSAS Test Feeder working group. The results showed an accuracy of over 90% for the method.

scholarly journals On the Conflict between LVRT and Line Protection in LV Distribution Systems with PVs: A Current-Limitation-Based Solution

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2909 ◽  
Author(s):  
Aristotelis Tsimtsios ◽  
Dionisis Voglitsis ◽  
Ioannis Perpinias ◽  
Christos Korkas ◽  
Nick Papanikolaou
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Low Voltage ◽  
Energy Resource ◽  
Distribution Networks ◽  
Voltage Distribution ◽  
Current Limitation ◽  
Protection Scheme ◽  
Low Voltage Ride Through ◽  
Photovoltaic Generators

The upcoming adoption of low-voltage-ride-through requirements in low-voltage distribution systems is expected to raise significant challenges in the operation of grid-tied inverters. Typically, these inverters interconnect photovoltaic units, which are the predominant distributed energy resource in low-voltage distribution networks, under an umbrella of standards and protection schemes. As such, a challenging issue that should be considered in low-voltage distribution network applications, regards the coordination between the line protection scheme (typically consisting of a non-settable fuse) and the low-voltage-ride-through operation of photovoltaic generators. During a fault, the fuse protecting a low-voltage feeder may melt, letting the generator to continue its ride-through operation. Considering that the efficacy/speed of the anti-islanding detection is affected by ride-through requirements, this situation can lead to protracted energization of the isolated feeder after fuse melting (unintentional islanding). To address this issue, this paper proposes a fault-current-limitation based solution, which does not require any modification in the existing protection scheme. The operation principles, design, and implementation of this solution are presented, while, its effectiveness is supported by extensive simulations in a test-case low-voltage distribution system. A discussion on the presented results concludes the paper.

scholarly journals Optimal Phase Load Balancing in Low Voltage Distribution Networks Using a Smart Meter Data-Based Algorithm

2020 ◽  
Author(s):  
Gheorghe Grigoras ◽  
Bogdan-Constantin Neagu ◽  
Mihai Gavrilas ◽  
Ion Tristiu ◽  
Constantin Bulac
Keyword(s):  
Load Balancing ◽  
Distribution Systems ◽  
Energy Savings ◽  
Low Voltage ◽  
Distribution Networks ◽  
Hybrid Structure ◽  
Optimal Operation ◽  
Time Interval ◽  
Voltage Distribution ◽  
Load Balancing Algorithm

In the electric distribution systems, the “Smart Grid” concept is implemented to encourage energy savings and integration of the innovative technologies, helping the Distribution Network Operators (DNOs) in choosing the investment plans which to lead the optimal operation of the networks and increasing the energy efficiency. In this context, a new phase load balancing algorithm was proposed to be implemented in the low voltage distribution networks with hybrid structures of the consumption points (switchable and non-switchable consumers). It can work in both operation modes (on-line and off-line), uploading information from different databases of the DNO which contain: the consumers’ characteristics, the real loads of the consumers integrated into the Smart Metering System (SMS), and the typical load profiles for the consumers non-integrated in the SMS. The algorithm was tested in a real network, having a hybrid structure of the consumption points, on a time interval by 24 hours. The obtained results were analyzed and compared with other algorithms from the heuristic (Minimum Count of Loads Adjustment algorithm) and the metaheuristic (Particle Swarm Optimization and Genetic Algorithms) categories. The best performances were provided by the proposed algorithm, such that the unbalance coefficient resulted in the smallest value (1.0017). The phase load balancing led to the following technical effects: decreasing the average current in the neutral conductor with 94% and for the energy losses with 61.75 %, and increasing the minimum value of the phase voltage at the farthest pillar with the 7.14 %, compared to the unbalanced case.

scholarly journals Optimal Phase Load Balancing in Low Voltage Distribution Networks Using a Smart Meter Data-Based Algorithm

Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 549 ◽  
Author(s):  
Gheorghe Grigoraș ◽  
Bogdan-Constantin Neagu ◽  
Mihai Gavrilaș ◽  
Ion Triștiu ◽  
Constantin Bulac
Keyword(s):  
Load Balancing ◽  
Distribution Systems ◽  
Energy Savings ◽  
Low Voltage ◽  
Distribution Networks ◽  
Hybrid Structure ◽  
Optimal Operation ◽  
Voltage Distribution ◽  
Average Current ◽  
Load Balancing Algorithm

In the electric distribution systems, the “Smart Grid” concept is implemented to encourage energy savings and integration of the innovative technologies, helping the distribution network operators (DNOs) in choosing the investment plans which lead to the optimal operation of the networks and increasing the energy efficiency. In this context, a new phase load balancing algorithm was proposed to be implemented in the low voltage distribution networks with hybrid structures of the consumption points (switchable and non-switchable consumers). It can work in both operation modes (real-time and off-line), uploading information from different databases of the DNO which contain: The consumers’ characteristics, the real loads of the consumers integrated into the smart metering system (SMS), and the typical load profiles for the consumers non-integrated in the SMS. The algorithm was tested in a real network, having a hybrid structure of the consumption points, on a by 24-h interval. The obtained results were analyzed and compared with other algorithms from the heuristic (minimum count of loads adjustment algorithm) and the metaheuristic (particle swarm optimization and genetic algorithms) categories. The best performances were provided by the proposed algorithm, such that the unbalance coefficient had the smallest value (1.0017). The phase load balancing led to the following technical effects: decrease of the average current in the neutral conductor and the energy losses with 94%, respectively 61.75%, and increase of the minimum value of the phase voltage at the farthest pillar with 7.14%, compared to the unbalanced case.

Risk analysis in low-voltage distribution systems

2018 ◽  
Vol 233 (2) ◽  
pp. 118-138
Author(s):  
Mostafa Aliyari ◽  
Yonas Z Ayele ◽  
Abbas Barabadi ◽  
Enrique Lopez Droguett
Keyword(s):  
Data Analysis ◽  
Risk Analysis ◽  
Distribution Systems ◽  
Low Voltage ◽  
Distribution Networks ◽  
Analysis Tool ◽  
Voltage Distribution ◽  
Essential Information ◽  
Risk Of Failure ◽  
Wide Range

Electric power distribution is a complex network involving technical challenges from a wide range of sources, a considerable degree of risk and substantial financial resources. Design and maintenance strategies must take account of the risk of failure of distribution components, that is, both the probability of failure and its consequences have to be considered. Historical failure and repair data are essential inputs for risk analysis, since they reflect the actual operational conditions that the system and its components have experienced. Failure and repair data analysis generally aims at decreasing the risk of failure, by providing essential information for maintenance and logistic planning to reduce the probability, as well as the consequence, of failure. Hence, when maintaining and designing distribution networks, it is imperative to identify and quantify all risks – direct financial, health, safety and environmental, and reputation – using the field failure and repair data. However, in the majority of the available literature regarding the failure and repair data analysis of distribution networks, especially the low-voltage distribution, the set of risk analysis principles is not integrated or in some cases is not detailed. The purpose of this article is to propose a methodology for identifying a suitable failure analysis tool for low-voltage distribution by integrating a set of risk analysis principles, as well as the reliability and maintainability estimation. The application of the proposed methodology is demonstrated by a real case study via an evaluation of the power outages data.

Development of Automatic Voltage Regulator for Low Voltage Distribution Systems

2012 ◽  
Vol 132 (5) ◽  
pp. 436-444 ◽  
Author(s):  
Katsuhiro Matsuda ◽  
Kazuhiro Horikoshi ◽  
Toshiyuki Seto ◽  
Osamu Iyama ◽  
Hiromu Kobayashi
Keyword(s):  
Distribution Systems ◽  
Low Voltage ◽  
Voltage Regulator ◽  
Voltage Distribution ◽  
Automatic Voltage Regulator
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