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2000
Volume 18, Issue 8
  • ISSN: 2352-0965
  • E-ISSN: 2352-0973

Abstract

Background

Ultra-High Voltage Direct Current (UHVDC) system has a wide range of applications in the energy field, and its transmission process will cause a large amount of carbon loss. To reduce carbon loss under the premise of ensuring safety, it is necessary to construct a carbon loss model of the UHVDC transmission system.

Methods

In this study, we propose a multi-objective optimization model to achieve the goal of low-carbon emissions, which considers carbon transaction costs and equipment safety and proposes initialization improvement and congestion improvement.

Results

Compared with the mainstream optimization algorithms, the results show that the improved model achieves at least a 29.97% effect in reducing carbon loss, reduces the carbon loss by 1222.79 t, meets the requirements of the low carbon loss, transaction cost and high safety, and realizes the triple goals of UHVDC transmission system.

Conclusion

The model we proposed can effectively reduce carbon loss and carbon trading costs on the premise of ensuring safety.

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/content/journals/raeeng/10.2174/0123520965296792240822105848
2024-07-18
2025-11-15
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References

  1. ShiY. JiangM. GaoX. Research on Market Mechanism of Thermal Power Flexible Transformation to Promote Clean Energy ConsumptionJ. Phys. Conf. Ser.2022012021
    [Google Scholar]
  2. BłaszczokD. TrawińskiT. SzczygiełM. RybarzM. Forecasting of reactive power consumption with the use of artificial neural networks.Electronics20221113200510.3390/electronics11132005
    [Google Scholar]
  3. ShiM. ZouT. XuJ. WangJ. Can carbon emissions trading scheme make power plants greener? Firm-level evidence from China.Front. Energy Res.20221090603310.3389/fenrg.2022.906033
    [Google Scholar]
  4. CzarnotaR. KnapikE. WojnarowskiP. Carbon dioxide separation technologies.Arch. Min. Sci.2019643487498
    [Google Scholar]
  5. WolfA. Sustainable carbon cycles: A framework for the ramp-up of carbon capture?Inter Econ.202257426026610.1007/s10272‑022‑1060‑7
    [Google Scholar]
  6. WeiY.M. LiX.Y. LiuL.C. KangJ-N. YuB-Y. A cost-effective and reliable pipelines layout of carbon capture and storage for achieving China’s carbon neutrality target.J. Clean. Prod.202237913465110.1016/j.jclepro.2022.134651
    [Google Scholar]
  7. SinghS.P. KuA.Y. MacdowellN. CaoC. Profitability and the use of flexible CO2 capture and storage (CCS) in the transition to decarbonized electricity systems.Int. J. Greenh. Gas Control202212010376710.1016/j.ijggc.2022.103767
    [Google Scholar]
  8. JinJ. WenQ. ChengS. QiuY. ZhangX. GuoX. Optimization of carbon emission reduction paths in the low-carbon power dispatching process.Renew. Energy202218842543610.1016/j.renene.2022.02.054
    [Google Scholar]
  9. LiuC. WangH. WangZ. LiuZ. TangY. YangS. Research on life cycle low carbon optimization method of multi-energy complementary distributed energy system: A review.J. Clean. Prod.202233613038010.1016/j.jclepro.2022.130380
    [Google Scholar]
  10. FaruqueM.O. RabbyM.A.J. HossainM.A. IslamM.R. RashidM.M.U. MuyeenS.M. A comparative analysis to forecast carbon dioxide emissions.Energy Rep.20228108046806010.1016/j.egyr.2022.06.025
    [Google Scholar]
  11. HuangH LiangR ZhangX Bi-level optimization of multi-objective configuration of coal mine integrated energy system considering carbon constraints.Power Grid Technol.2022460517311742
    [Google Scholar]
  12. LiZ. ZhaoB. ChenZ. NiC. YanJ. YanX. BianX. LiuN. Low-carbon operation method of microgrid considering carbon emission quota trading.Energy Rep.2023937938710.1016/j.egyr.2023.03.045
    [Google Scholar]
  13. LiR. TangB.J. YuB. LiaoH. ZhangC. WeiY-M. Cost-optimal operation strategy for integrating large scale of renewable energy in China’s power system: From a multi-regional perspective.Appl. Energy202232511978011978010.1016/j.apenergy.2022.119780
    [Google Scholar]
  14. DengB. WenY. Admissible HVDC infeed capacity evaluation of receiving-end power grids.Int. J. Electr. Power Energy Syst.202314610876010.1016/j.ijepes.2022.108760
    [Google Scholar]
  15. LiX. A multi-objective optimization model for low-carbon operation of power grid.J. Clean. Prod.2022356130542
    [Google Scholar]
  16. WangY. A multi-objective optimization model for low-carbon economy of power grid.Int. J. Electr. Power Energy Syst.2023543103658
    [Google Scholar]
  17. LiuT. Application of smart grid technology in low-carbon operation of power grid.IEEE Trans. Smart Grid202213321262136
    [Google Scholar]
  18. ShiT SiX LiZ Research on flexibility evaluation of microgrid system with energy storage.Recent Adv. Electr. Electron. Eng.2021145525534
    [Google Scholar]
  19. MallalaB PapanaV P PalleK. Multi-objective optimization in the presence of OGIPFC using NSMMP algorithm.Recent Adv. Electr. Electron. Eng.20241716081
    [Google Scholar]
  20. LüQ WangX YangL Optimization design and experimental study of cooling system in a high voltage induction motor after power density upgrade.Recent Adv. Electr. Electron. Eng.2023165560570
    [Google Scholar]
  21. WuX. LiaoB. SuY. LiS. Multi-objective and multi-algorithm operation optimization of integrated energy system considering ground source energy and solar energy.Int. J. Electr. Power Energy Syst.202314410852910.1016/j.ijepes.2022.108529
    [Google Scholar]
  22. ZhangQ.L. CaoJ.W. ZhongS. Economic consequences of carbon tax and carbon emission trading scheme in intensive carbon emission enterprises.Adv. Mat. Res.2014962-9651717172110.4028/www.scientific.net/AMR.962‑965.1717
    [Google Scholar]
  23. Xi 'an Xidian Power System Co., Ltd., Xi 'an High Voltage Electrical Apparatus Research Institute Co., Ltd., State Grid Beijing Institute of Economics and Technology. Voltage source converter valve loss for HVDC systems Part 1: General requirements.General Administration of Quality Supervision, Inspection and Quarantine of the People 's Republic of ChinaChina National Standardization Management Committee. 2014
    [Google Scholar]
  24. ZhuJ. ZhaoL. LiR. Study on temperature rise test of valve bridge arm reactor for VSC-HVDC system based on equivalent loss.IEEE Conference on Industrial Electronics and Applications (ICIEA), Kristiansand, Norway, 09-13 November 2020, pp. 625-629.10.1109/ICIEA48937.2020.9248147
    [Google Scholar]
  25. dos SantosT.N. DinizA.L. A dynamic piecewise linear model for dc transmission losses in optimal scheduling problems.IEEE Trans. Power Syst.201126250851910.1109/TPWRS.2010.2057263
    [Google Scholar]
  26. TosattoA. ChatzivasileiadisS. HVDC loss factors in the Nordic power market.Electr. Power Syst. Res.202119010671010.1016/j.epsr.2020.106710
    [Google Scholar]
  27. Hassan Ashrafi NiakiS. ChenZ. Bak-JensenB. SharifabadiK. LiuZ. HuS. DC protection criteria for multi-terminal HVDC system considering transient stability of embedded AC grid.Int. J. Electr. Power Energy Syst.202415710981510.1016/j.ijepes.2024.109815
    [Google Scholar]
  28. MohammadiF. AziziN. Stability and control of VSC-based HVDC systems: A systematic review. e-Prime - Advances in Electrical Engineering.Electronics and Energy20248100503
    [Google Scholar]
  29. FarkhaniJalal Sahebkar A comprehensive review of potential protection methods for VSC multi-terminal HVDC systems.Renew. Sustain. Energy Rev.2024192114280
    [Google Scholar]
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