基于运行方式与故障信息融合的配电网保护策略优化
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宁楠(1985-),男,教授级高级工程师,主要从事电力系统继电保护及自动化、变电和配电设备智能技术的研究;E-mail:674604139@qq.com

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TM773

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中国南方电网有限责任公司重点科技项目(K-SZ2013-906)


Optimization of distribution network protection strategy based on theintegration of operation mode and fault information
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    摘要:

    为实现配电网继电保护策略的自适应优化,根据继电保护故障处理流程,将保护分为故障辨识和出口决策环节,并在此基础上提出基于运行方式与故障信息融合的配电网继电保护策略两级优化方法。首先,依托运行方式跟踪,实现故障辨识环节的保护动作定值整定;其次,开放故障辨识环节产生的故障信息给出口决策环节,从而实现出口决策环节的优化整定;最后,着重研究融合故障信息的出口决策环节优化方法,通过故障拓扑、保护出口配合以及重合闸效益分析,给出配电网继电保护在应对不同故障场景下保护出口决策的隔离动作选择、出口定值整定与重合闸策略选取,有效提升保护的灵活性。

    Abstract:

    In order to realize the adaptive optimization of the relay protection strategy of the distribution network, the protection is divided into the fault identification and exit decision-making process in terms of the fault handling process of the relay protection. On this basis, a two-level optimization method for relay protection strategy of the distribution network based on the fusion of operation mode and fault information is proposed. First of all, relying on the tracking of the running mode,the fixed values of the protection action in the fault identification process are set. Then, the fault information generated by the fault identification process is opened to the export decision-making process so as to realize the optimal setting of the export decision-making process. Finally, this paper focuses on the optimization method of the exit decision-making process integrating fault information. Through the fault topology, protection exit coordination and reclosing benefit analysis, the isolation action selection, exit fixed-value setting and reclosing strategy selection of protection exit decision-making for the distribution network relay protection in response to different fault scenarios are given to effectively improve the protection flexibility.

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宁楠,孙睿择,潘凯岩,等.基于运行方式与故障信息融合的配电网保护策略优化[J].电力科学与技术学报,2022,37(2):54-61.
NING Nan, SUN Ruize, PAN Kaiyan, et al. Optimization of distribution network protection strategy based on theintegration of operation mode and fault information[J]. Journal of Electric Power Science and Technology,2022,37(2):54-61.

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  • 在线发布日期: 2022-05-26
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