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Composite reliability evaluation using sequential Monte Carlo simulation with maximum and minimum loadability analysis
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DOI：10.1016/j.compeleceng.2024.110023.png)
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摘要
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This paper introduces an approach to composite reliability evaluation using sequential Monte Carlo simulation with maximum and minimum loadability analysis. The approach utilizes an estimation of the maximum and minimum loadability of a given system state to avoid linearized power flow (PF) and optimal power flow (OPF) assessments in further states characterized by load transitions. The evaluation of the maximum loadability of a system state is also employed within the cross-entropy (CE) optimization procedure, as an alternative performance function to sampled states. Numerical results highlight the effectiveness of the approach and gains in runtime, in comparison with implementations of benchmark methods, for the IEEE RTS 79 test system.
Keyword:
Sequential Monte Carlo simulation
Maximum loadability
Cross-entropy
期刊
C
IF:
4.9
论文数:
6.7K
被引数:
1.3W
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