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2000
Volume 18, Issue 9
  • ISSN: 2352-0965
  • E-ISSN: 2352-0973

Abstract

Background

In order to solve the problems of single influencing factors and inconsistency of subjective experience of multiple experts under different working conditions in the evaluation of existing cross-river transmission corridor schemes, a cross-river transmission corridor scheme evaluation method based on hierarchical analysis has been proposed in this work.

Methods

Firstly, six evaluation indices, including planning and important facility areas, environmentally sensitive points, geological conditions, hydrological conditions, safety and economy, have been established to construct a system for assessing the impact factors of cross-river transmission corridors. Then, the hierarchical analysis method has been combined with the improved grey correlation analysis to synthesize the weight judgement values of multiple experts, construct a unified scoring system for the weights of qualitative and quantitative indexes, effectively improve the stability of the indexes' weights, and realize the scientific assessment of the cross-river transmission channel scheme. Finally, the engineering scheme of a cross-river transmission channel has been evaluated.

Results

Through practical engineering analysis, the selected cross-river transmission channel using this method has been found to be consistent with the actual project.

Conclusion

The results have shown that the method could effectively achieve the evaluation of various cross-river transmission channel schemes by comprehensively considering a variety of factors in the selection of cross-river corridors for transmission lines and effectively protecting the empirical roles of different experts.

This is an open access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode
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2024-10-03
2026-01-08
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References

  1. ZhaoB.B. LiuY. FeiX.Z. Study on geological hazards assessment in typical transmssion channelProceedings of the 2019 National Engineering Geology Academic Annual Conference20197131137.10.26914/c.cnkihy.2019.014707
    [Google Scholar]
  2. ZhouC. ZhengJ.Y. HanW.J. Research on path optimization and extension of transmission channel considering geographical environment factors.Electric. Measure. Instrument.202057131810.19753/j.issn1001‑1390.2020.14.003
    [Google Scholar]
  3. ZhangL.Q. XieC. ChenM. Identification of hidden dangers of landslides in UHV transmission channels in the Three Gorges Reservoir Area based on time series InSAR.Bull. Surv. Mapp.2023202329710310.13474/j.cnki.11‑2246.2023.0047
    [Google Scholar]
  4. WangZ.B. WangS.Y. ChenN. Safety probability assessment method considering micro-topography for transmission grid under strong typhoon environment.Elec. Power Automat. Equip.20204018419110.16081/j.epae.201911026
    [Google Scholar]
  5. XuX.Z. ZhaoX.Y. GaoY. Method and Application of Power Transmission Corridor Planning Path Optimization Based on 3-Dimensional Geographic Information System.J. Global Energy Interconnect.2019242096512510.19705/j.cnki.issn2096‑5125.2019.04.011
    [Google Scholar]
  6. ZhangX.J. XiuY.X. ZhuangW.B. Risk assessment and prediction of important transmission channel based on water wave optimization-factor analysis-long and short-term memory network.Modern Electric Power20223927828610.19725/j.cnki.1007‑2322.2021.0104
    [Google Scholar]
  7. HanY.B. ZhangZ. TangB.Y. Research on multi source information fusion technology of ship transmission channel based on 3D geographic information.Ship Sci. and Technol.201739707310.3404/j.issn.1672‑7649.2017.07A.024
    [Google Scholar]
  8. LuoM. YangZ. FeiX.Z. Research on Feature Selection and Key Technologies of Satellite Remote Sensing Inspection in Transmission Channel.Electric. Power Inform. Commun. Technol.202119556310.16543/j.2095‑641x.electric.power.ict.2021.04.009
    [Google Scholar]
  9. LuoM. WeiS.T. YangZ. AKnowledge Graph Construction Method for Identifying Key Elements of Transmission Channels.Electric Power Inform. Commun. Technol.202321374310.16543/j.2095‑641x.electric.power.ict.2023.04.06
    [Google Scholar]
  10. YuanG.L. ZhangJ.H. WangT.H. Comprehensive energy-saving evaluation of thermal power planis based on TOPSIS gray relational projection and the weight sensitivity analysis.J. Chin. Soc. Power Eng.201535404411
    [Google Scholar]
  11. ZouX. ZhangH. LeiL. Research and application of significance determination for safety-related feedback information based on analytic hierarchy process in nuclear power plants.Nuclear Power Eng.20234418919510.13832/j.jnpe.2023.03.0189
    [Google Scholar]
  12. LiF. Assessment Model of Air Pollution Quality in Jining City Based on AHP.Huanjing Kexue Yu Guanli202348179184
    [Google Scholar]
  13. ChenY.R. DengZ. WangY.H. Research on Risk Management of Comprehensive Intelligent Energy Project Based on AHP.Electric. Eng.2022202215315610.19768/j.cnki.dgjs.2022.04.050
    [Google Scholar]
  14. LiS.J. LiX.R. HuangJ.Y. Selection of energy storage power supply for frequency regulation based on analytic hierarchy process.Electrotech. Appl.2020392025
    [Google Scholar]
  15. LuoC.H. QuG.J. ZouT.H. Multidimensional evaluation model of wind farm operation performance based on AHP and cloud model.Modern Electric Power20213860160910.19725/j.cnki.1007‑2322.2021.0047
    [Google Scholar]
  16. YuX.J. Navigable Analysis for UHV Transmission Line Crossing the Upper Reaches of the Yangtze River.Electric Power Surv. Des.202303365610.13500/j.dlkcsj.issn1671‑9913.2023.03.006
    [Google Scholar]
  17. PaulA. DeshamukhyaT. PalJ. Investigation and utilization of Indian peat in the energy industry with optimal site-selection using Analytic Hierarchy Process: A case study in North-Eastern India.Energy2022239Part C12216910.1016/j.energy.2021.122169
    [Google Scholar]
  18. LiJ.L. MaH.M. TianC.G. Selection scheme of electrochemical energy storage based on interval analytic hierarchy process method.Gao Dianya Jishu2016422707271410.13336/j.1003‑6520.hve.20160907003
    [Google Scholar]
  19. AzharN.A. Mohamed RadziN.A. MustafaI.S. AzmiK.H.M. SamidiF.S. ZulkifliI.T. AbdullahF. JamaludinM.Z. IsmailA. ZainalA.M. Selecting Communication Technologies for an Electrical Substation Based on the AHP.IEEE Access20231111072411073510.1109/ACCESS.2023.3321922
    [Google Scholar]
  20. ZhangM. XiaR.P. XuS.L. Comprehensive evaluation of power quality based on variation coefficient synthetic weighting of subjective and objective weights.Modern Electric Power202220221710.19725/j.cnki.1007‑2322.2021.0372
    [Google Scholar]
  21. FengC. Energy Efficiency Assessment Methods for Distribution Grid Based on Hierarchical Analysis.Electric Eng.202320239910310.19768/j.cnki.dgjs.2023.11.026
    [Google Scholar]
  22. HongZ.G. YanY. FanZ.H. Caculation on High-ranked RI of Analytic Hierarchy Process.Comp. Eng. Appl.200220024715010.3321/j.issn:1002‑8331.2002.12.017
    [Google Scholar]
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