期刊
IEEE TRANSACTIONS ON POWER DELIVERY
卷 33, 期 4, 页码 1576-1588出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRD.2017.2751563
关键词
Transmission line temperature; dynamic line rating; situational awareness; numerical weather prediction (NWP); k-means clustering; analytical solution; N-k contingency analysis
资金
- CURENT Engineering Research Center
Transmission lines are vital components in power systems. Outages of transmission lines caused by overtemperature are a major threat to system reliability, so it is necessary to efficiently simulate line temperature under both normal operation conditions and foreseen fault conditions. Existing methods based on thermal-steady-state analyses cannot support the simulation of transient temperature evolution, and, thus, cannot provide timing information needed for taking remedial actions. Moreover, the conventional numerical method requires huge computational efforts and barricades system-wide analysis. In this regard, this paper derives an approximate analytical solution of transmission-line temperature evolution enabling efficient analysis on multiple operation states. Considering the uncertainties in environmental parameters, the region of overtemperature is constructed in the environmental parameter space to realize the overtemperature risk assessment in both the planning stage and real-time operations. A test on a typical conductor model verifies the accuracy of the approximate analytical solution. Based on the analytical solution and numerical weather prediction data, an efficient simulation method for temperature evolution of transmission systems under multiple operation states is proposed. As demonstrated on a Northeast Power Coordinating Council 140-bus system, it achieves over 1000 times of efficiency enhancement, verifying its potential in online risk assessment and decision support.
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