Fault section estimation in electric power systems using an optimization immune algorithm
Fault section estimation in electric power systems using an optimization immune algorithm
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DOI：
10.1016/j.epsr.2010.05.010
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发表时间：
2010-11
影响因子：
3.9
通讯作者：
F. B. Leão;R. Pereira;J. Mantovani
中科院分区：
文献类型：
--
作者：
F. B. Leão;R. Pereira;J. Mantovani
提出了一种基于无约束二进制规划（UBP）模型和优化免疫算法（IA）的电力系统故障区段估计方法。UBP模型使用简约集合覆盖理论来制定，用于关联由SCADA（监控和数据采集）系统通知的保护继电器功能的警报和保护继电器功能的预期状态。IA的开发，以尽量减少UBP模型，并尽可能快速，可靠地估计故障区段。所提出的方法进行了测试，使用南巴西电力系统的一部分。对免疫算法的控制参数进行了优化，使算法的计算效率最大化，并缩短了处理时间。结果表明，该方法的潜力，估计在电力系统控制中心的实时故障区段。
This paper proposes a methodology based on the unconstrained binary programming (UBP) model and an optimization immune algorithm (IA) to estimate fault sections in electric power systems. The UBP model is formulated using the parsimonious set covering theory for associating the alarms of the protective relay functions informed by the SCADA (supervisory control and data acquisition) system and the expected states of the protective relay functions. The IA is developed to minimize the UBP model and to estimate the fault sections as quickly and reliably as possible. The proposed methodology is tested using part of the South-Brazilian electric power system. The control parameters of the IA are set to reach the maximum computational efficiency and reduction of the processing time. The results show the methodology's potential to estimate fault sections in electric power system control centers in real-time.