scholarly journals A Reduced Electrically-Equivalent Model of the IEEE European Low Voltage Test Feeder

2021 ◽  
Author(s):  
Maman Ahmad Khan ◽  
Barry Hayes
Keyword(s):  
Distribution System ◽  
Low Voltage ◽  
Computation Time ◽  
Computational Effort ◽  
Equivalent Model ◽  
Full Data ◽  
Data Set ◽  
Network Loading ◽  
Wide Range ◽  
Bus Network

<div>This letter presents a reduced, electrically equivalent model of the IEEE European Low Voltage Test Feeder for use in distribution network studies. The original test feeder is made up of 906 buses, of which only 55 have loads connected. This work proposes an equivalent 116 bus network which accurately represents all of the characteristics of the original test feeder, but significantly reduces the computational effort required when applied in a range of distribution system applications. The model reduction technique applied is explained in detail, and the performance of the modified network is tested under a wide range of network loading conditions. The analysis in this letter demonstrates that the modified 116 bus network produces identical results with 80% less computation time when compared to the original 906 bus network. The full data set for the modified network is provided on IEEE Dataport. Available: https://dx.doi.org/10.21227/0d2n-j565.</div>

scholarly journals A Reduced Electrically-Equivalent Model of the IEEE European Low Voltage Test Feeder

2021 ◽  
Author(s):  
Maman Ahmad Khan ◽  
Barry Hayes
Keyword(s):  
Distribution System ◽  
Low Voltage ◽  
Computation Time ◽  
Computational Effort ◽  
Equivalent Model ◽  
Full Data ◽  
Data Set ◽  
Network Loading ◽  
Wide Range ◽  
Bus Network

<div>This letter presents a reduced, electrically equivalent model of the IEEE European Low Voltage Test Feeder for use in distribution network studies. The original test feeder is made up of 906 buses, of which only 55 have loads connected. This work proposes an equivalent 116 bus network which accurately represents all of the characteristics of the original test feeder, but significantly reduces the computational effort required when applied in a range of distribution system applications. The model reduction technique applied is explained in detail, and the performance of the modified network is tested under a wide range of network loading conditions. The analysis in this letter demonstrates that the modified 116 bus network produces identical results with 80% less computation time when compared to the original 906 bus network. The full data set for the modified network is provided on IEEE Dataport. Available: https://dx.doi.org/10.21227/0d2n-j565.</div>

scholarly journals Research On Arc Fault Detection Using Morlet Wavelet Features And ResNet

2021 ◽  
Author(s):  
Shuai Zhang ◽  
Na Qu ◽  
Tianfang Zheng ◽  
Congqiang Hu
Keyword(s):  
Distribution System ◽  
Low Voltage ◽  
Detection System ◽  
Coefficient Matrix ◽  
Morlet Wavelet ◽  
Data Set ◽  
System A ◽  
Wavelet Features ◽  
The Time Domain ◽  
Space Image

Abstract Series arc fault is the main cause of electrical fire in low-voltage distribution system. A fast and accurate detection system can reduce the risk of fire effectively. In this paper, series arc experiment is carried out for different kinds of electrical load. The time-domain current is analyzed by Morlet wavelet. Then, the multiscale wavelet coefficients are expressed as the coefficient matrix. We use HSV color index to map the coefficient matrix to the phase space image. Random gamma transform and random rotation are applied to data enhancement. Finally, typical deep residual network (ResNet) is established for image recognition. Training results show that this method can detect faults in real time. The accuracy of ResNet50 is 96.53% by using the data set in this paper.

Estimation of Real-Time Equivalent of Power System for Distribution System

2009 ◽  
Vol 10 (1) ◽  
Author(s):  
Kasi Viswanadha Raju G ◽  
Pradeep R. Bijwe
Keyword(s):  
Power System ◽  
Real Time ◽  
Distribution System ◽  
Power Flow ◽  
Computational Effort ◽  
Equivalent Model ◽  
Equivalent Representation ◽  
Proposed Model ◽  
Three Phase

Distribution power flow methods by and large consider the substation voltage to be known and fixed. This type of model is not suitable for stressed system conditions. Although some power flow software may allow an equivalent representation of the transmission and sub-transmission system, the procedure for the determination of such an equivalent is not available in literature. Hence, this paper presents a very simple three-phase power system equivalent model, which can be obtained with negligible computational effort from real time measurements, for an unbalanced operating system. The validity of the proposed model is demonstrated through studies for two sample systems.

scholarly journals Towards domain-specific surrogate models for smart grid co-simulation

2019 ◽  
Vol 2 (S1) ◽  
Author(s):  
Stephan Balduin ◽  
Martin Tröschel ◽  
Sebastian Lehnhoff
Keyword(s):  
Deep Learning ◽  
Low Voltage ◽  
Large Data ◽  
Surrogate Models ◽  
Computational Effort ◽  
Point Of View ◽  
Training Process ◽  
Data Set ◽  
Domain Specific ◽  
Dimensional Approximation

Abstract Surrogate models are used to reduce the computational effort required to simulate complex systems. The power grid can be considered as such a complex system with a large number of interdependent inputs. With artificial neural networks and deep learning, it is possible to build high-dimensional approximation models. However, a large data set is also required for the training process. This paper presents an approach to sample input data and create a deep learning surrogate model for a low voltage grid. Challenges are discussed and the model is evaluated under different conditions. The results show that the model performs well from a machine learning point of view, but has domain-specific weaknesses.

scholarly journals Demand Side Management for Charging Plug-In Hybrid Electric Vehicles

2020 ◽  
pp. 152-157
Author(s):  
Praveena P ◽  
Chandrika V S ◽  
Baranilingesan I ◽  
Ravindran S ◽  
Pazhanimuthu C
Keyword(s):  
Electric Vehicles ◽  
Distribution System ◽  
Hybrid Electric Vehicles ◽  
Low Voltage ◽  
Peak Load ◽  
Demand Side Management ◽  
Demand Side ◽  
Wide Range ◽  
Hybrid Electric ◽  
Power Curves

In future the usage of Plug-in hybrid electric vehicles (PHEV) will be in wide range, which will impose huge burden to the distributive system. The peak load at the distribution system can be controlled by Demand Side Management (DSM) strategy. In the proposed study, the load curve of Low-voltage Transformers (LVTs) is made to be flatten, on satisfying the requirement of charging PHEV at given time to the required level. The proposed problem statement is formulated as convex optimization problem, and then the random arrival of PHEV is handled by introducing the moving horizon strategy. Based on this, the PHEV are being disconnected from the LVTs beyond their respective exit times. Such that the demand curve of the LVTs is flattened. This problem is solved using MATLAB and the power demand curves of the LVTs, power curves of the PHEVs and non- PHEV load are compared over a time of 24 hours to show that the power curve is flattened with the penetration of PHEV.

Development of a conical anode Fe-gun for low voltage SEM

1988 ◽  
Vol 46 ◽  
pp. 978-979
Author(s):  
T. Miyokawa ◽  
S. Norioka ◽  
S. Goto
Keyword(s):  
High Resolution ◽  
Field Emission ◽  
Low Voltage ◽  
Irradiation Damage ◽  
Cold Cathode ◽  
Virtual Source ◽  
Source Position ◽  
Electrostatic Lens ◽  
Electrostatic Lenses ◽  
Wide Range

Field emission SEMs (FE-SEMs) are becoming popular due to their high resolution needs. In the field of semiconductor product, it is demanded to use the low accelerating voltage FE-SEM to avoid the electron irradiation damage and the electron charging up on samples. However the accelerating voltage of usual SEM with FE-gun is limited until 1 kV, which is not enough small for the present demands, because the virtual source goes far from the tip in lower accelerating voltages. This virtual source position depends on the shape of the electrostatic lens. So, we investigated several types of electrostatic lenses to be applicable to the lower accelerating voltage. In the result, it is found a field emission gun with a conical anode is effectively applied for a wide range of low accelerating voltages.A field emission gun usually consists of a field emission tip (cold cathode) and the Butler type electrostatic lens.

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

Structure Guided Molecular Docking Assisted Alignment Dependent 3DQSAR Study on Steroidal Aromatase Inhibitors (SAIs) as Anti-breast Cancer Agents

2019 ◽  
Vol 16 (7) ◽  
pp. 808-817 ◽  
Author(s):  
Laxmi Banjare ◽  
Sant Kumar Verma ◽  
Akhlesh Kumar Jain ◽  
Suresh Thareja
Keyword(s):  
Breast Cancer ◽  
Molecular Docking ◽  
Aromatase Inhibitors ◽  
Direct Synthesis ◽  
3D Qsar ◽  
Chemotherapeutic Agents ◽  
Modeling Tools ◽  
Data Set ◽  
Wide Range ◽  
Steroidal Aromatase Inhibitors

Background: In spite of the availability of various treatment approaches including surgery, radiotherapy, and hormonal therapy, the steroidal aromatase inhibitors (SAIs) play a significant role as chemotherapeutic agents for the treatment of estrogen-dependent breast cancer with the benefit of reduced risk of recurrence. However, due to greater toxicity and side effects associated with currently available anti-breast cancer agents, there is emergent requirement to develop target-specific AIs with safer anti-breast cancer profile. Methods: It is challenging task to design target-specific and less toxic SAIs, though the molecular modeling tools viz. molecular docking simulations and QSAR have been continuing for more than two decades for the fast and efficient designing of novel, selective, potent and safe molecules against various biological targets to fight the number of dreaded diseases/disorders. In order to design novel and selective SAIs, structure guided molecular docking assisted alignment dependent 3D-QSAR studies was performed on a data set comprises of 22 molecules bearing steroidal scaffold with wide range of aromatase inhibitory activity. Results: 3D-QSAR model developed using molecular weighted (MW) extent alignment approach showed good statistical quality and predictive ability when compared to model developed using moments of inertia (MI) alignment approach. Conclusion: The explored binding interactions and generated pharmacophoric features (steric and electrostatic) of steroidal molecules could be exploited for further design, direct synthesis and development of new potential safer SAIs, that can be effective to reduce the mortality and morbidity associated with breast cancer.

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