基于PSOA的TPSS故障定位算法的研究
1Shanghai Institute of Technology, School of Railway Transportion, Shanghai, China.
PeerJ. Computer science
|June 22, 2023
概括
本研究介绍了城市轨道交通中引电源系统 (TPSS) 的故障定位算法. 开发的方法优化了放电电流控制,减少了网络损耗,并提高了电源质量,以实现更安全的运行.
科学领域:
- 电气工程 电气工程
- 运输系统 运输系统
- 控制系统 控制系统
背景情况:
- 城市铁路运输的安全运行在很大程度上依赖于有效的引电源系统 (TPSS) 保护技术.
- TPSS组件包括轨道,返回电缆和潜在的限制装置,所有这些都容易发生故障.
- 了解TPSS的动态特征对于开发强大的保护策略至关重要.
研究的目的:
- 为城市铁路运输中TPSS开发先进的故障定位算法.
- 通过加强TPSS保护,提高城市铁路运输运营的安全性和效率.
- 为监测和管理TPSS性能提供可靠的方法.
主要方法:
- 基于粒子群优化算法 (PSOA) 的故障定位算法被开发出来,考虑了TPSS的动态特征.
- 多点监测数据的评估,使用模糊处理的极化潜力前偏差和多属性决策.
- 根据流浪电流分布规律确定监测点和值.
主要成果:
- 拟议的TPSS故障定位算法 (TPSSOA) 实现了最佳的放电电流控制.
- 观察到网络损失的显著减少和电力质量的改善.
- 现场测量数据验证了开发的方法的高可用性和有效性.
结论:
- 开发的故障定位算法为城市铁路运输中TPSS保护提供了实用和有效的解决方案.
- 该方法为未来的TPSS设计和实施提供了有价值的指导.
- 优化放电电流控制和提高电源质量有助于更安全,更高效的铁路运营.
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