基于大数据的电力系统继电保护自动化技术的研究

Research on Power System Relay Protection Automation Technology Based on Big Data

作为电力系统中的安全保护措施,继电保护可快速、准确地判断故障类型和故障原因。基于此,提出了基于知识库和基于数据驱动2种继电保护故障处理流程,并分析了其优劣。结果表明,基于知识库的方法可靠性高、灵活性强,但依赖专家知识且适应性有限;基于数据驱动的方法适应性强、可扩展性好,但可靠性有限且解释性差。可以根据具体情况选择合适的方法,或将2种方法相结合,以提高故障处理的可靠性和效果。

As a safety protection measure in the power system,the relay protection can quickly and accurately determine the type and cause of faults.Based on this,this paper proposes two types of relay protection fault processing processes:Knowledge-based and data-driven,and analyzes their advantages and disadvantages.The results show that the knowledgebased method has high reliability and strong flexibility,but relies on expert knowledge and has limited adaptability.The datadriven method has strong adaptability and good scalability,but its reliability is limited and interpretability is poor,can choose the appropriate method based on the specific situation,or combine the two methods to improve the reliability and effectiveness of fault handling.