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作 者:张超 李玉法 马炳鑫 ZHANG Chao;LI Yufa;MA Bingxin(Chiping Xinfa Huayu Alumina Co.,Ltd.,Liaocheng 252100,China)
机构地区:[1]茌平信发华宇氧化铝有限公司,山东聊城252100
出 处:《通信电源技术》2024年第24期80-82,共3页Telecom Power Technology
摘 要:文章研究了自适应继电保护技术,以应对现代电力系统日趋复杂的故障特性。针对传统定值保护难以满足当前电网需求的问题,提出3种自适应保护策略:基于深度学习算法的纵联自适应保护策略、基于小波变换和支持向量机的自适应电流速断保护策略以及基于贝叶斯网络的变电站综合信息自适应保护策略。通过仿真实验验证,这些策略在保护动作时间、选择性、可靠性以及灵敏度等方面均显著优于传统保护方法,能够更好地适应电网的多样性和不确定性。This paper studies adaptive relay protection technology to address the increasingly complex fault characteristics of modern power systems.In response to the issue that traditional fixed-value protection is difficult to meet the current grid requirements,three adaptive protection strategies are proposed:a pilot adaptive protection strategy based on deep learning algorithms,an adaptive current fast-break protection strategy based on wavelet transform and support vector machines,and a substation comprehensive information adaptive protection strategy based on Bayesian networks.Simulation experiments verify that these strategies significantly outperform traditional protection methods in terms of protection action time,selectivity,reliability,and sensitivity,and can better adapt to the diversity and uncertainty of the power grid.
分 类 号:TM77[电气工程—电力系统及自动化]
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