Smart metering for low voltage electrical distribution system using Arduino Due

2016 ◽  
Author(s):  
Dario De Santis ◽  
Domenico Aldo Giampetruzzi ◽  
Gaetano Abbatantuono ◽  
Massimo La Scala
Keyword(s):  
Distribution System ◽  
Low Voltage ◽  
Smart Metering ◽  
Electrical Distribution

scholarly journals Optimal Routing an Ungrounded Electrical Distribution System Based on Heuristic Method with Micro Grids Integration

2019 ◽  
Vol 11 (6) ◽  
pp. 1607 ◽  
Author(s):  
Wilson Pavón ◽  
Esteban Inga ◽  
Silvio Simani
Keyword(s):  
Distribution System ◽  
Low Voltage ◽  
Voltage Drop ◽  
Distribution Network ◽  
Heuristic Method ◽  
Network Routing ◽  
Electrical Network ◽  
Optimal Routing ◽  
Electrical Distribution ◽  
Electrical Distribution Network

This paper proposes a three-layer model to find the optimal routing of an underground electrical distribution system, employing the PRIM algorithm as a graph search heuristic. In the algorithm, the first layer handles transformer allocation and medium voltage network routing, the second layer deploys the low voltage network routing and transformer sizing, while the third presents a method to allocate distributed energy resources in an electric distribution system. The proposed algorithm routes an electrical distribution network in a georeferenced area, taking into account the characteristics of the terrain, such as streets or intersections, and scenarios without squared streets. Moreover, the algorithm copes with scalability characteristics, allowing the addition of loads with time. The model analysis discovers that the algorithm reaches a node connectivity of 100%, satisfies the planned distance constraints, and accomplishes the optimal solution of underground routing in a distribution electrical network applied in a georeferenced area. Simulating the electrical distribution network tests that the voltage drop is less than 2% in the farthest node.

scholarly journals Interline Power Flow Controller with Control strategy to limit Fault Current in Electrical Distribution System

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Control Strategy ◽  
Distribution System ◽  
Power Flow ◽  
Low Voltage ◽  
Short Circuit ◽  
System Level ◽  
Fault Current ◽  
Electrical Distribution ◽  
Flow Controller ◽  
Power Flow Controller

In this article, Interline power flow controller (IPFC) has been recommended to limit the short circuit current (SCC) in low voltage (LV) electrical distribution system. Industrial loads are increasing due to various reasons in the distribution system. It leads to the power requirement at the distribution system level. Therefore, there is a scope for increase in the fault current. Due to the increased fault current, the protection of switchgear is vital. A simple control strategy wth IPFC is proposed in the distribution system to limit the fault current. Low voltage distribution system i.e 800 MW thermal power plant water system LV distribution system is considered for demonstrating the effectiveness of the IPFC. Short circuit analysis is performed without and with the IPFC by applying ETAP and MATLAB (SIMULINK). The simulation results are compared. Further, the effect of different ratings of standard transformers is also analyzed. It is noticed that the control strategy with IPFC can limit the fault current.

Development and Evaluation of a Fast Voltage Calculation Method for Low-Voltage Distribution System

2013 ◽  
Vol 133 (4) ◽  
pp. 343-349
Author(s):  
Shunsuke Kawano ◽  
Yasuhiro Hayashi ◽  
Nobuhiko Itaya ◽  
Tomihiro Takano ◽  
Tetsufumi Ono
Keyword(s):  
Calculation Method ◽  
Distribution System ◽  
Low Voltage ◽  
Voltage Distribution

Formulated Representation for Upper Limitation of Deliverable Power in Low-Voltage DC Distribution System

2011 ◽  
Vol 131 (4) ◽  
pp. 362-368 ◽  
Author(s):  
Yasunobu Yokomizu ◽  
Doaa Mokhtar Yehia ◽  
Daisuke Iioka ◽  
Toshiro Matsumura
Keyword(s):  
Distribution System ◽  
Low Voltage ◽  
Dc Distribution

Study on the Residual Current Protection Device Technology

2014 ◽  
Vol 8 (1) ◽  
pp. 404-411 ◽  
Author(s):  
Guo Rongyan ◽  
Zhang Honghui
Keyword(s):  
Distribution System ◽  
Low Voltage ◽  
Residual Current ◽  
Electrical Safety ◽  
Protective Device ◽  
Protection Device ◽  
Voltage Distribution ◽  
The People ◽  
Safety Protection ◽  
Device Technology

As an important electrical safety protection device in low voltage distribution system, residual current protection device is to protect the insulation line leakage fault; the electric shock of the people plays an important role in fault. From the protection characteristics of residual current protective device to points, those can be divided into, residual current protection device for residual pulsating direct current and residual dc, according to the residual sinusoidal alternating current.

scholarly journals High-Accuracy Power Quality Disturbance Classification Using the Adaptive ABC-PSO as Optimal Feature Selection Algorithm

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1238
Author(s):  
Supanat Chamchuen ◽  
Apirat Siritaratiwat ◽  
Pradit Fuangfoo ◽  
Puripong Suthisopapan ◽  
Pirat Khunkitti
Keyword(s):  
Feature Selection ◽  
Power Quality ◽  
Distribution System ◽  
Classification Accuracy ◽  
Selection Algorithm ◽  
Feature Selection Algorithm ◽  
Electrical Distribution ◽  
Power Quality Disturbance ◽  
Optimal Feature Selection ◽  
Optimal Feature

Power quality disturbance (PQD) is an important issue in electrical distribution systems that needs to be detected promptly and identified to prevent the degradation of system reliability. This work proposes a PQD classification using a novel algorithm, comprised of the artificial bee colony (ABC) and the particle swarm optimization (PSO) algorithms, called “adaptive ABC-PSO” as the feature selection algorithm. The proposed adaptive technique is applied to a combination of ABC and PSO algorithms, and then used as the feature selection algorithm. A discrete wavelet transform is used as the feature extraction method, and a probabilistic neural network is used as the classifier. We found that the highest classification accuracy (99.31%) could be achieved through nine optimally selected features out of all 72 extracted features. Moreover, the proposed PQD classification system demonstrated high performance in a noisy environment, as well as the real distribution system. When comparing the presented PQD classification system’s performance to previous studies, PQD classification accuracy using adaptive ABC-PSO as the optimal feature selection algorithm is considered to be at a high-range scale; therefore, the adaptive ABC-PSO algorithm can be used to classify the PQD in a practical electrical distribution system.

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