A study of distribution network fault location including Distributed Generator based on improved genetic algorithm

Yue, Youjun; Zhao, Hui; Zhao, Yunlei; Wang, Hongjun

doi:10.1109/icssem.2012.6340819

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…Genetic Algorithms (GAs) are defined as "the family of computational models inspired by evolution or mimic of natural evolution" [162][163][164][165]. In other words, the GAs find a solution using a local search technique by producing successive populations until it obtains an acceptable result [166,167].…”

Section: Genetic Algorithmmentioning

confidence: 99%

Transient Fault Detection and Location in Power Distribution Network: A Review of Current Practices and Challenges in Malaysia

et al. 2021

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An auto-restoration tool to minimize the impact of faults is one of the critical requirements in a power distribution system. A fault-monitoring system is needed for practical remote supervision to identify faults and reduce their impacts, and thus reduce economic losses. An effective fault-monitoring system is beneficial to improve the reliability of a protection system when faults evolve. Therefore, fault monitoring could play an important role in enhancing the safety standards of systems. Among the various fault occurrences, the transient fault is a prominent cause in Malaysia power systems but gains less attention due to its ability of self-clearance, although sometimes it unnecessarily triggers the operation of protection systems. However, the transient fault is an issue that must be addressed based on its effect that can lead to outages and short-circuits if prolonged. In this study, the authors summarize the guidelines and related standards of fault interaction associated with a monitoring system. The necessity of transient fault detection and location techniques and their limitations, the need for signal processing, as well as recommended practices, are also discussed in this paper. Some of the practices from local power utility are also shared, indicating the current approaches, key challenges, and the opportunities for improvement of fault-monitoring systems due to transient fault, which can be correlated with the reviews provided.

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Section: Genetic Algorithmmentioning

confidence: 99%

Transient Fault Detection and Location in Power Distribution Network: A Review of Current Practices and Challenges in Malaysia

et al. 2021

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“…The iterative optimisation methods have been investigated in [116–120]. They use the fault data collected by FTUs to structure an objective function.…”

Section: Improvement Of Protection Systems In Distribution Network Wmentioning

confidence: 99%

Impact of distributed generation on the protection systems of distribution networks: analysis and remedies – review paper

Meskin

Domijan

Grinberg

2020

IET Generation, Transmission & Distribution

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Oppositional Brain Storm Optimization for Fault Section Location in Distribution Networks

Xiong

Zhang

Shi

et al. 2019

Brain Storm Optimization Algorithms

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A study of distribution network fault location including Distributed Generator based on improved genetic algorithm

Cited by 5 publications

References 3 publications

Transient Fault Detection and Location in Power Distribution Network: A Review of Current Practices and Challenges in Malaysia

Transient Fault Detection and Location in Power Distribution Network: A Review of Current Practices and Challenges in Malaysia

Impact of distributed generation on the protection systems of distribution networks: analysis and remedies – review paper

Oppositional Brain Storm Optimization for Fault Section Location in Distribution Networks

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