Intelligent Fault Diagnosis in a Power Distribution Network

This paper presents a novel method of fault diagnosis by the use of fuzzy logic and neural network-based techniques for electric power fault detection, classification, and location in a power distribution network. A real network was used as a case study. The ten different types of line faults including single line-to-ground, line-to-line, double line-to-ground, and three-phase faults were investigated. The designed system has 89% accuracy for fault type identification. It also has 93% accuracy for fault location. The results indicate that the proposed technique is effective in detecting, classifying, and locating low impedance faults.

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Application Analysis on the Power Distribution Network Three-phase Power Flow Based on Hybrid Particle Swarm Algorithm

Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics ◽

10.2991/icecee-15.2015.50 ◽

2015 ◽

Author(s):

Yijun Wang

Keyword(s):

Power Distribution ◽

Power Flow ◽

Distribution Network ◽

Particle Swarm ◽

Particle Swarm Algorithm ◽

Power Distribution Network ◽

Hybrid Particle ◽

Three Phase ◽

Application Analysis ◽

Swarm Algorithm

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Harmonic distortion minimization in power system using differential evolution based active power filters

Recent Advances in Computer Science and Communications ◽

10.2174/2666255813999200818141234 ◽

2020 ◽

Vol 13 ◽

Author(s):

Alok Kumar Mishra ◽

Soumya Ranjan Das ◽

Prakash Kumar Ray ◽

Ranjan Kumar Mallick ◽

Himansu Das

Keyword(s):

Power System ◽

Power Distribution ◽

Computer Network ◽

Distribution Network ◽

Harmonic Distortion ◽

Pso Algorithm ◽

Global Optimum ◽

Phase System ◽

Power Distribution Network ◽

Three Phase

Aims : The main focus in this work is to improve balanced and sinusoidal grid currents by feeding compensating current at point of common coupling (PCC). Background: In recent years the advancement in electronics and electrical appliances are widely improved and are also more sophisticated. These appliances require uninterrupted and quality power. Therefore in the growing power system scenario, several issues like malfunction of electrical sensitive devices, overheat in transformer, interference in communication, failures in computer network etc., adversely affects the power quality (PQ). These issues are generated due to rapid use of non-linear loads in three-phase system which generates harmonics in the system. To overcome from these PQ issues, several PQ mitigation custom power devices are integrated in power distribution network. But, the conventional PQ mitigation devices are insufficient to eliminate PQ problems such as current and voltage harmonics, voltage sag/swell and voltage unbalances associated with the power distribution network. Objective : The objective of using A-PSO is to find the global optimum of the spread factor parameter at the upper level. APSO, has a faster convergence speed and correct response compared to the PSO algorithm. Method : SO A-PSO M p-q. Result: A-PSO is giving better results than PSO. Conclusion : A three-phase system with SHAPF injected at PCC is proposed in this paper. The SHAPF injects filter current at PCC for supressing the harmonics using a modified pq scheme. For controlling the PIC, two optimised parameters are discussed and found that reducing the harmonics distortions using A-PSO is giving better results compare to the conventional PSO.

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