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作 者:罗立波 赵红军 杨振 马金财 朱咏明 吴伟丽[2,3] Luo Libo;Zhao Hongjun;Yang Zhen;Ma Jincai;Zhu Yongming;Wu Weili(Changji Power Supply Company,State Grid Xinjiang Electric Power Co.,Ltd.,Changji 831100,Xinjiang,China;Xi’an University of Science and Technology,Xi’an 710000,China;Anhui Zhengguang Electric Power Technology Co.,Ltd.,Hefei 230000,China)
机构地区:[1]国网新疆电力有限公司昌吉供电公司,新疆昌吉831100 [2]西安科技大学,西安710000 [3]安徽正广电电力技术有限公司,合肥230000
出 处:《电测与仪表》2020年第23期54-62,共9页Electrical Measurement & Instrumentation
基 金:国家电网公司新疆公司科技项目(XJ2019000409)。
摘 要:随着±1100 kV特高压直流输电工程的建设,新疆电网在多个直流接地极共同影响下的直流偏磁风险也成为了电力部门需要解决的新问题。基于复杂网络理论,文章提出了多接地极共同作用下的偏磁直流关键站点辨识方法,研究了多接地极下偏磁直流站点间、站点与线路间的偏磁直流影响作用,建立考虑影响因素不确定下的对偏磁直流分布有重要影响作用的关键度指标,以衡量多接地极作用特征;最后,以新疆750 kV特高压交流系统为例,分析了在±1100 kV准东特高压直流和±800 kV天中直流共同作用下的影响偏磁直流分布的关键站点,与2018年10月期间实际测试数据对比,结果验证了文中方法的可行性和关键站点判据的有效性。论文研究成果可有效辨识对偏磁分布起到关键作用的变电站特征,为提高电网变压器直流偏磁的早期预警能力提供有用参考。With the construction of±1100 kV UHVDC transmission project,the DC bias risk of Xinjiang power grid under the common influence of multiple DC grounding electrodes has become a new problem to be solved by the power sector.Based on the complex network theory,this paper proposes an identification method of key substation of DC bias under the joint action of multiple grounding electrodes,studies the influence of DC bias between sites and between sites and lines under the joint action of multiple grounding electrodes,and establishes the key indicators which have important influence on the distribution of DC bias considering the uncertainty of influence factors,so as to measure the characteristics of the action of multiple grounding electrodes.Finally,taking the 750 kV UHV AC system in Xinjiang as an example,the key substations affecting the distribution of bias DC under the joint action of±1100 kV quasi East UHV DC and±800 kV Tianzhong DC transmission engineering are analyzed.Compared with the actual test data in October 2018,the results verify the feasibility of the proposed method and the validity of the key substation criteria.The research results in this paper can effectively identify the characteristics of the transformer substation which plays a key role in the distribution of DC bias,which provides a useful reference for improving the early warning ability of DC bias of transformer.
分 类 号:TM714[电气工程—电力系统及自动化]
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