Research on Fault Location of Distribution Network with DG Based on HHO

Yan Xin; Liu Ruichen; Tu Naiwei; Xing Jiaqi

doi:doi:10.11648/j.sd.20221005.19

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Research on Fault Location of Distribution Network with DG Based on HHO

Yan Xin, Liu Ruichen, Tu Naiwei, Xing Jiaqi

Published in Science Discovery (Volume 10, Issue 5)

Received: 20 September 2022 Accepted: 18 October 2022 Published: 24 October 2022

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Abstract

Power generation, transmission, transformation, distribution and use are several important links in the power system, of which the distribution link is the most important. Since the 18th National Congress of the CPC, with the acceleration of carbon peaking and carbon neutrality process, clean energy such as solar power generation, wind power generation and fuel cells has developed rapidly, and the energy utilization mode has become complex and diversified. The access of these distributed power sources has put forward higher requirements for the safe and stable operation of the power system. Therefore, the research on fault location has become an indispensable part of the research on the stability of distribution network. In order to enhance the accuracy and speed of fault location, a distributed power distribution network fault location method based on Harris Eagle algorithm was proposed. The specific process is: when a fault occurs in the power grid, FA (feeder automation) will first monitor the error message and upload it to FTU (feeder terminal unit), and FTU will interpret the error message according to HHO algorithm and accurately locate it to the fault section. However, the traditional HHO is not suitable for the discreteness problem, so it is first converted into a binary BHHO, based on this, new fault location coding mode, switching function and evaluation function suitable for binary system are constructed. BHHO is applied to the IEEE33 bus distribution network model with DG, and compared with GA and PSO under the conditions of single point fault, multi-point fault and information distortion fault The simulation results show that the accuracy and speed of BHHO are better than those of GA and PSO under various fault conditions. The results prove that HHO can better enhance the accuracy and stability of fault location in distribution network.

Published in	Science Discovery (Volume 10, Issue 5)
DOI	10.11648/j.sd.20221005.19
Page(s)	332-339
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Harris Eagle Algorithm, Power Distribution Network, Fault Location, Distributed Generation

References

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APA Style

Yan Xin, Liu Ruichen, Tu Naiwei, Xing Jiaqi. (2022). Research on Fault Location of Distribution Network with DG Based on HHO. Science Discovery, 10(5), 332-339. https://doi.org/10.11648/j.sd.20221005.19

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ACS Style

Yan Xin; Liu Ruichen; Tu Naiwei; Xing Jiaqi. Research on Fault Location of Distribution Network with DG Based on HHO. Sci. Discov. 2022, 10(5), 332-339. doi: 10.11648/j.sd.20221005.19

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AMA Style

Yan Xin, Liu Ruichen, Tu Naiwei, Xing Jiaqi. Research on Fault Location of Distribution Network with DG Based on HHO. Sci Discov. 2022;10(5):332-339. doi: 10.11648/j.sd.20221005.19

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@article{10.11648/j.sd.20221005.19,
  author = {Yan Xin and Liu Ruichen and Tu Naiwei and Xing Jiaqi},
  title = {Research on Fault Location of Distribution Network with DG Based on HHO},
  journal = {Science Discovery},
  volume = {10},
  number = {5},
  pages = {332-339},
  doi = {10.11648/j.sd.20221005.19},
  url = {https://doi.org/10.11648/j.sd.20221005.19},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20221005.19},
  abstract = {Power generation, transmission, transformation, distribution and use are several important links in the power system, of which the distribution link is the most important. Since the 18th National Congress of the CPC, with the acceleration of carbon peaking and carbon neutrality process, clean energy such as solar power generation, wind power generation and fuel cells has developed rapidly, and the energy utilization mode has become complex and diversified. The access of these distributed power sources has put forward higher requirements for the safe and stable operation of the power system. Therefore, the research on fault location has become an indispensable part of the research on the stability of distribution network. In order to enhance the accuracy and speed of fault location, a distributed power distribution network fault location method based on Harris Eagle algorithm was proposed. The specific process is: when a fault occurs in the power grid, FA (feeder automation) will first monitor the error message and upload it to FTU (feeder terminal unit), and FTU will interpret the error message according to HHO algorithm and accurately locate it to the fault section. However, the traditional HHO is not suitable for the discreteness problem, so it is first converted into a binary BHHO, based on this, new fault location coding mode, switching function and evaluation function suitable for binary system are constructed. BHHO is applied to the IEEE33 bus distribution network model with DG, and compared with GA and PSO under the conditions of single point fault, multi-point fault and information distortion fault The simulation results show that the accuracy and speed of BHHO are better than those of GA and PSO under various fault conditions. The results prove that HHO can better enhance the accuracy and stability of fault location in distribution network.},
 year = {2022}
}

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TY  - JOUR
T1  - Research on Fault Location of Distribution Network with DG Based on HHO
AU  - Yan Xin
AU  - Liu Ruichen
AU  - Tu Naiwei
AU  - Xing Jiaqi
Y1  - 2022/10/24
PY  - 2022
N1  - https://doi.org/10.11648/j.sd.20221005.19
DO  - 10.11648/j.sd.20221005.19
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 332
EP  - 339
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20221005.19
AB  - Power generation, transmission, transformation, distribution and use are several important links in the power system, of which the distribution link is the most important. Since the 18th National Congress of the CPC, with the acceleration of carbon peaking and carbon neutrality process, clean energy such as solar power generation, wind power generation and fuel cells has developed rapidly, and the energy utilization mode has become complex and diversified. The access of these distributed power sources has put forward higher requirements for the safe and stable operation of the power system. Therefore, the research on fault location has become an indispensable part of the research on the stability of distribution network. In order to enhance the accuracy and speed of fault location, a distributed power distribution network fault location method based on Harris Eagle algorithm was proposed. The specific process is: when a fault occurs in the power grid, FA (feeder automation) will first monitor the error message and upload it to FTU (feeder terminal unit), and FTU will interpret the error message according to HHO algorithm and accurately locate it to the fault section. However, the traditional HHO is not suitable for the discreteness problem, so it is first converted into a binary BHHO, based on this, new fault location coding mode, switching function and evaluation function suitable for binary system are constructed. BHHO is applied to the IEEE33 bus distribution network model with DG, and compared with GA and PSO under the conditions of single point fault, multi-point fault and information distortion fault The simulation results show that the accuracy and speed of BHHO are better than those of GA and PSO under various fault conditions. The results prove that HHO can better enhance the accuracy and stability of fault location in distribution network.
VL  - 10
IS  - 5
ER  -

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Author Information

Yan Xin

School of Electrical and Control Engineering, Liaoning University of Engineering and Technology, Huludao, China
Liu Ruichen

School of Electrical and Control Engineering, Liaoning University of Engineering and Technology, Huludao, China
Tu Naiwei

School of Electrical and Control Engineering, Liaoning University of Engineering and Technology, Huludao, China
Xing Jiaqi

School of Electrical and Control Engineering, Liaoning University of Engineering and Technology, Huludao, China

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Plain Text BibTeX RIS

APA Style

Yan Xin, Liu Ruichen, Tu Naiwei, Xing Jiaqi. (2022). Research on Fault Location of Distribution Network with DG Based on HHO. Science Discovery, 10(5), 332-339. https://doi.org/10.11648/j.sd.20221005.19

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ACS Style

Yan Xin; Liu Ruichen; Tu Naiwei; Xing Jiaqi. Research on Fault Location of Distribution Network with DG Based on HHO. Sci. Discov. 2022, 10(5), 332-339. doi: 10.11648/j.sd.20221005.19

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AMA Style

Yan Xin, Liu Ruichen, Tu Naiwei, Xing Jiaqi. Research on Fault Location of Distribution Network with DG Based on HHO. Sci Discov. 2022;10(5):332-339. doi: 10.11648/j.sd.20221005.19

Copy | Download

@article{10.11648/j.sd.20221005.19,
  author = {Yan Xin and Liu Ruichen and Tu Naiwei and Xing Jiaqi},
  title = {Research on Fault Location of Distribution Network with DG Based on HHO},
  journal = {Science Discovery},
  volume = {10},
  number = {5},
  pages = {332-339},
  doi = {10.11648/j.sd.20221005.19},
  url = {https://doi.org/10.11648/j.sd.20221005.19},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20221005.19},
  abstract = {Power generation, transmission, transformation, distribution and use are several important links in the power system, of which the distribution link is the most important. Since the 18th National Congress of the CPC, with the acceleration of carbon peaking and carbon neutrality process, clean energy such as solar power generation, wind power generation and fuel cells has developed rapidly, and the energy utilization mode has become complex and diversified. The access of these distributed power sources has put forward higher requirements for the safe and stable operation of the power system. Therefore, the research on fault location has become an indispensable part of the research on the stability of distribution network. In order to enhance the accuracy and speed of fault location, a distributed power distribution network fault location method based on Harris Eagle algorithm was proposed. The specific process is: when a fault occurs in the power grid, FA (feeder automation) will first monitor the error message and upload it to FTU (feeder terminal unit), and FTU will interpret the error message according to HHO algorithm and accurately locate it to the fault section. However, the traditional HHO is not suitable for the discreteness problem, so it is first converted into a binary BHHO, based on this, new fault location coding mode, switching function and evaluation function suitable for binary system are constructed. BHHO is applied to the IEEE33 bus distribution network model with DG, and compared with GA and PSO under the conditions of single point fault, multi-point fault and information distortion fault The simulation results show that the accuracy and speed of BHHO are better than those of GA and PSO under various fault conditions. The results prove that HHO can better enhance the accuracy and stability of fault location in distribution network.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Research on Fault Location of Distribution Network with DG Based on HHO
AU  - Yan Xin
AU  - Liu Ruichen
AU  - Tu Naiwei
AU  - Xing Jiaqi
Y1  - 2022/10/24
PY  - 2022
N1  - https://doi.org/10.11648/j.sd.20221005.19
DO  - 10.11648/j.sd.20221005.19
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 332
EP  - 339
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20221005.19
AB  - Power generation, transmission, transformation, distribution and use are several important links in the power system, of which the distribution link is the most important. Since the 18th National Congress of the CPC, with the acceleration of carbon peaking and carbon neutrality process, clean energy such as solar power generation, wind power generation and fuel cells has developed rapidly, and the energy utilization mode has become complex and diversified. The access of these distributed power sources has put forward higher requirements for the safe and stable operation of the power system. Therefore, the research on fault location has become an indispensable part of the research on the stability of distribution network. In order to enhance the accuracy and speed of fault location, a distributed power distribution network fault location method based on Harris Eagle algorithm was proposed. The specific process is: when a fault occurs in the power grid, FA (feeder automation) will first monitor the error message and upload it to FTU (feeder terminal unit), and FTU will interpret the error message according to HHO algorithm and accurately locate it to the fault section. However, the traditional HHO is not suitable for the discreteness problem, so it is first converted into a binary BHHO, based on this, new fault location coding mode, switching function and evaluation function suitable for binary system are constructed. BHHO is applied to the IEEE33 bus distribution network model with DG, and compared with GA and PSO under the conditions of single point fault, multi-point fault and information distortion fault The simulation results show that the accuracy and speed of BHHO are better than those of GA and PSO under various fault conditions. The results prove that HHO can better enhance the accuracy and stability of fault location in distribution network.
VL  - 10
IS  - 5
ER  -

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