基于动态拓扑分析的配电网自适应保护与自愈控制方法
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(深圳供电局有限公司,广东,深圳 518001)

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张安龙(1982—),男,硕士,高级工程师,研究方向为继电保护整定计算及事故分析;E-mail:zhanganlong@ sz.csg.cn
李 艳(1971—),女,博士,高级工程师,研究方向为电力系统及其自动化;E-mail:dyhust@163.com
黄福全(1977—),男,硕士,高级工程师,研究方向为电力系统及其自动化。E-mail:huangfuquan@sz.csg.cn

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基金项目:

中国南方电网有限责任公司科技项目资助(SZKJXM20160056);国家自然科学基金项目资助(51577073)


Adaptive protection and self-healing control method of distribution network based on dynamic topology analysis
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(Shenzhen Power Supply Bureau Co., Ltd., Shenzhen 518001, China)

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    摘要:

    配电网保护控制亟需提高保护的灵活性并缩减恢复供电时间。基于动态拓扑分析建立配电网保护控制系统图形化描述为提高保护控制自适应能力提供了解决方法。首先研究了关联子图的计算方法,将配电网自适应保护控制系统的故障辨识区域、故障动作区域的自适应动态调整转化为不同类型关联子图求取。在此基础上进行不同运行与配置情况下的保护故障辨识、动作逻辑以及自愈判断动态决策。最后通过案例说明了验证关联子图算法以及保护控制决策的正确性,有效满足配电网保护控制系统自适性需求。

    Abstract:

    The requirement to improve the flexibility of protection and reduce the power supply recovery time for distribution network protection control is needed. Based on dynamic topology analysis, the graphical description of the distribution network protection control system is provided to solve the problem of adaptive protection and control. Firstly, the calculation method of the correlated subgraph is studied. The adaptive dynamic adjustment of the fault identification area and fault action area of the adaptive protection control system of the distribution network is transformed into different types of correlated subgraphs. On this basis, the dynamic strategy for fault identification, action logic, and self-healing judgment for different operation and configuration are carried out. Finally, the associated subgraph algorithm and protection control decision are verified by the case, which effectively meets the self-adaptability requirements of the distribution network protection and control system. This work is supported by Science and Technology Project of China Southern Power Grid Co., Ltd. (No. SZKJXM20160056) and National Natural Science Foundation of China (No. 51577073).

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张安龙,李艳,黄福全,等.基于动态拓扑分析的配电网自适应保护与自愈控制方法[J].电力系统保护与控制,2019,47(11):111-117.[ZHANG Anlong, LI Yan, HUANG Fuquan, et al. Adaptive protection and self-healing control method of distribution network based on dynamic topology analysis[J]. Power System Protection and Control,2019,V47(11):111-117]

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  • 收稿日期:2018-06-13
  • 最后修改日期:2018-12-06
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  • 在线发布日期: 2019-06-04
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