基于人工神经网络的配电网距离保护方法研究
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引用本文:闫宁霞,李 晶,杨政权,张朝雁,王秀瑞.基于人工神经网络的配电网距离保护方法研究[J].计算技术与自动化,2022,(2):66-70
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闫宁霞,李 晶,杨政权,张朝雁,王秀瑞 (云南电网有限责任公司红河供电局云南 红河 661100) 
中文摘要:基于神经网络技术提出了一种新的配电网距离保护方法,用于提高距离继电器在配电网中抗开路故障的性能。给出了保护方法的详细数学模型。该方案采用的人工神经网络结构简单,只需离线训练,不会对距离继电器的工作时间造成大的时延,也不需要特殊的通信辅助手段。测试结果表明,采用该方案的距离继电器不仅能够检测电网线路中的开路情况,而且无论故障前的电流负载如何,都能够定位故障位置,验证了所提方法的有效性。
中文关键词:人工神经网络  继电保护  配电网
 
Research on Distance Protection Method of Distribution Network Based on Artificial Neural Network
Abstract:A new distance protection method for distribution network is proposed based on neural network technology, which is used to improve the performance of distance relays against open-circuit faults in the distribution network. The detailed mathematical model of the protection method is given. The artificial neural network adopted by this scheme has a simple structure, only requires offline training, does not cause a large time delay to the working time of the distance relay, and does not require special communication auxiliary means. The test results show that the distance relay using this scheme can not only detect the open circuit in the power grid, but also locate the fault location regardless of the current load before the fault, which verifies the effectiveness of the proposed method.
keywords:artificial neural network  relay protection  power distribution network
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