نتایج جستجو برای: radial power system

تعداد نتایج: 2628893  

2011
D. S. Javan H. Rajabi M. Rouhani

Deregulation of power system in recent years has changed static security assessment to the major concerns for which fast and accurate evaluation methodology is needed. Contingencies related to voltage violations and power line overloading have been responsible for power system collapse. This paper presents an enhanced radial basis function neural network (RBFNN) approach for on-line ranking of ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تبریز 1387

چکیده ندارد.

2006
S. R. Samantaray P. K. Dash G. Panda

A new approach for power system event recognition and classification using HS-transform and RBFNN is presented in this paper. Different power system events (disturbances) like sag, swell, notch, spike, transient, and chirp are generated and processed through Hyperbolic S-transform (HS-Transform). The excellent time-frequency resolution property of HS-Transform is used to extract useful informat...

2012
Satya Prakash

In this paper a noble method of fault locating in a radial power distribution system is discussed. Fuzzy system will ease the calculation involved. The history associated with fault occurred in power system can be effectively used as a strong database. This database will act as the trainer to the fuzzy expert system. A rich history of faulty area will enhance the performance of the fuzzy fault ...

2016
Sina Khajeh Ahmad Attari Mahmoud Reza Shakarami Farhad Namdari

Reconfiguration, by exchanging the functional links between the elements of the system, represents one of the most important measures which can improve the operational performance of a distribution system. Besides, reclosers use to eliminate transient faults, faults isolation, network management and enhance reliability to reduce customer outages. For load uncertainty a new method based on proba...

2012
A. Mohamed

In this paper, various power distribution architectures that can be implemented on a shipboard power system are investigated. The paper implements various distribution system architectures including; Radial AC, Medium Voltage DC and Zonal DC distribution systems on a reduced scale laboratory testbed. A detailed comparison among these architectures was conducted during simulated ship sailing and...

2016
Mamdouh Abdel-Akher Karar Mahmoud

Transformer model; Load flow analysis; Symmetrical components; Distribution systems Abstract This paper presents an efficient approach for developing three-phase transformer admittance matrices in the radial power-flow analysis. The proposed transformer model overcomes the singularity problem of the nodal admittance submatrices of ungrounded transformer configurations. This has been achieved by...

2013
Rajveer Singh

In a distributed Electrical Power System Faults are the major problem for regular supply to the consumers. A low impedance fault in electrical power distribution system is distinguished by a non-linear and unstable varying fault current due to type of fault. In this combined approach of Wavelet and Artificial Neural Network is used for identification and classification of all types of faults in...

2012
Lalit Negi M. P. Selvan

This paper proposes a maximum penetration ranking based approach for siting of Distributed Generators (DG) in a radial distribution system. In this method, the system buses are ranked based on the maximum power that can be injected at each system bus without causing voltage violations. This ranking is called as Maximum Penetration Ranking (MPR) and the buses of laterals with highest MPR are sel...

2007
Przemysław Janik Zbigniew Leonowicz Tadeusz Lobos Zbigniew Waclawek

The authors propose an automated neuro-fuzzy system approach (with neural network subsystem) to power quality assessment incorporating equipment susceptibility patterns. The system is expected to handle dependencies between superposition of different disturbances and specific devices’ susceptibility to disturbances. Two neural network architectures were applied: a well known radial-basis neural...

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