在电力系统中选择地面断层线的人工智能技术:最先进的技术和研究挑战
Fuhua Wang1, Zongdong Zhang1, Kai Wu1
1Turpan Power Supply Company, State Grid Xinjiang Electric Power Company, Turpan, 838000, China.
Mathematical biosciences and engineering : MBE
|September 7, 2023
概括
本综述探讨了人工智能 (AI) 在发电网中的地面断层线选择. 人工智能技术提高了电网的可靠性和效率,特别是与可再生能源的整合.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
背景情况:
- 有效地断线选择对于电力系统的稳定性和可靠性至关重要.
- 随着能源需求的增加和可再生能源的整合,需要先进的故障检测方法.
研究的目的:
- 系统地审查人工智能 (AI) 技术,用于分布网络中的地面断层线选择.
- 分析各种AI方法的应用,优势,局限性和案例研究.
- 确定人工智能驱动故障检测方面的挑战和未来研究方向.
主要方法:
- 对人工智能技术的系统文献审查,包括人工神经网络,支持矢量机器,决策树,模糊逻辑和遗传算法.
- 分析AI算法性能,数据要求和实时适用性.
- 探索新兴趋势,如深度学习,大数据分析和边缘计算.
主要成果:
- 人工智能技术为不同性能特征的地面断层线选择提供了多种方法.
- 挑战包括数据采集,算法优化和满足实时运营需求.
- 成功的案例研究证明了人工智能在增强故障检测方面的实际好处.
结论:
- 人工智能显著改善了地面断层线的选择,提高了电力系统的效率和弹性.
- 未来的研究应该专注于深度学习,大数据和边缘计算,以加强故障识别.
- 在电力系统中持续开发人工智能对于适应不断变化的能源环境至关重要.
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