التفاصيل البيبلوغرافية
| العنوان: |
改进巴氏距离算法下混合级联直流输电 纵联阻抗保护优化. (Chinese) |
| Alternate Title: |
Optimization of longitudinal impedance protection for hybrid cascaded HVDC transmission under improved Bhattacharyya distance algorithm. (English) |
| المؤلفون: |
王书征, 李沛林, 杨军炜, 张金华, 施 渊, 刘康礼 |
| المصدر: |
Journal of Xi'an Polytechnic University; Apr2024, Vol. 38 Issue 2, p9-17, 9p |
| Abstract (English): |
To enhance the robustness of longitudinal protection in LCC-MMC hybrid cascaded HVDC transmission systems, a longitudinal protection scheme of HVDC transmission based on longitudinal impedance and improved Bhattacharyya distance algorithm was proposed. The difference of the electric capacity at the first and last ends of the protected line was quantified by combining the Bhattacharyya distance algorithm with longitudinal impedance protection in this scheme, and the faults inside and outside the area were determined through the quantified data. Then, the fault pole selection criterion was constructed based on the energy function to ensure the reliability of the protection. Furthermore, an improved adaptive sliding window was constructed by fractal dimension, which improved the rapidity of protection. Finally, the ±800 kV LCC-MMC hybrid cascaded HVDC transmission system model of “Baijiang Project” was established on Matlab and PSCAD/EMTDC platforms, and the improved protection scheme was verified. Simulation results show that the proposed protection scheme can identify faults inside and outside the region quickly and reliably, correctly select fault poles and has a better resistance to transition resistance. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
为提高纵联保护在 LCC-MMC混合级联高压直流输电系统中的鲁棒性,提出一种基于纵联 阻抗和改进巴氏距离算法的高压直流输电纵联保护方案。该方案将巴氏距离算法与纵联阻抗保护 相结合,对被保护线路首末两端电气量的差异进行量化,并通过量化后的数据,进行区内外故障的 判定,然后基于能量函数构建了故障选极判据,保证了保护的可靠性;在此基础上,通过分形维数构 建了改进的自适应滑窗,提高了保护的速动性。最后,基于 Matlab与 PSCAD/EMTDC平 台建立 了 “白江工程” ±800kVLCC-MMC混合级联高压直流输电系统模型,并对所提改进后的保护方 案进行验证。仿真结果表明所提保护方案能够快速可靠地判别区内外故障并正确完成故障选极, 且有着较好的耐受过渡电阻能力。 [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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