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新能源电力系统国家重点实验室(华北电力大学),北京市 102206
Received:12 November 2021,
Revised:2022-01-23,
Published Online:04 July 2022,
Published:10 August 2022
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余磊,贾科,温志文等.计及量测数据丢失的主动配电网电流保护自适应整定方法[J].电力系统自动化,2022,46(15):145-152.
YU Lei,JIA Ke,WEN Zhiwen,et al.Adaptive Setting Method of Over Current Protection in Active Distribution Network Considering Measurement Data Missing[J].Automation of Electric Power Systems,2022,46(15):145-152.
余磊,贾科,温志文等.计及量测数据丢失的主动配电网电流保护自适应整定方法[J].电力系统自动化,2022,46(15):145-152. DOI: 10.7500/AEPS20211112005.
YU Lei,JIA Ke,WEN Zhiwen,et al.Adaptive Setting Method of Over Current Protection in Active Distribution Network Considering Measurement Data Missing[J].Automation of Electric Power Systems,2022,46(15):145-152. DOI: 10.7500/AEPS20211112005.
随着逆变型分布式电源大量接入配电网,配电网运行方式灵活多变,给基于定值的三段式电流保护带来了挑战。同时
因配电终端和局域通信易受影响,基于局域通信协作的保护获取的量测数据可能存在缺失及错误问题,影响保护的动作性能。为此,提出了计及量测数据缺失及错误的配电网电流保护自适应整定方法。首先,通过多点量测信息实时感知配电网运行状态,并生成含实时拓扑信息的关联阻抗矩阵,经迭代计算后自适应调整保护定值,从而使得所提保护能够自动适应配电网运行方式的动态变化;然后,提出改进的基于Wasserstein距离生成式对抗网络的缺失数据重构与异常数据修正算法,解决了基于局域通信的配电网自适应电流保护存在的量测数据丢失及错误;最后,通过仿真验证了所提方法的正确性及有效性。
With a large number of inverter-interfaced distributed generation connected to the distribution network
the operation mode of the distribution network is flexible
which brings challenges to the three-section current protection based on the setting. At the same time
because the distribution terminal and local communication are vulnerable
the measurement data obtained by the protection based on local communication cooperation may be missed and incorrect
affecting the operation performance of the protection. Therefore
an adaptive setting method for the over current protection in the distribution network is proposed
which takes into account the measurement data missing and error. Firstly
the operation status of the distribution network is sensed in real time through multi-point measurement information
and the correlation impedance matrix containing real-time topology information is generated. After iterative calculation
the protection setting value is adjusted adaptively
so that the proposed protection can adapt to the dynamic change of distribution network operation modes. Then
an improved algorithm for reconstruction of missing data and correction of abnormal data based on the Wasserstein generative adversarial network (WGAN) is proposed to solve the problem of measurement data missing and error in adaptive over current protection of distribution network based on local communication. Finally
simulation results verify the correctness and effectiveness of the proposed method.
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