Efficient Sampling and Sensitivity Analysis of Rare Transient Instability Events via Subset Simulation
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915182368784384 |
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| author | Liu, Jingyu Wang, Xiaoting Wang, Xiaozhe |
| author_facet | Liu, Jingyu Wang, Xiaoting Wang, Xiaozhe |
| contents | Assessing the risk of low-probability high-impact transient instability (TI) events is crucial for ensuring robust and stable power system operation under high uncertainty. However, direct Monte Carlo (DMC) simulation for rare TI event sampling is computationally intensive. This paper proposes a subset simulation-based method for efficient small TI probability estimation, rare TI events sampling, and subsequent sensitivity analysis. Numerical studies on the modified WSCC 9-bus system demonstrate the efficiency of the proposed method over DMC. Additionally, targeted stability enhancement strategies are designed to eliminate rare TI events and enhance the system's robustness to specific transient faults. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2503_02858 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Efficient Sampling and Sensitivity Analysis of Rare Transient Instability Events via Subset Simulation Liu, Jingyu Wang, Xiaoting Wang, Xiaozhe Systems and Control Assessing the risk of low-probability high-impact transient instability (TI) events is crucial for ensuring robust and stable power system operation under high uncertainty. However, direct Monte Carlo (DMC) simulation for rare TI event sampling is computationally intensive. This paper proposes a subset simulation-based method for efficient small TI probability estimation, rare TI events sampling, and subsequent sensitivity analysis. Numerical studies on the modified WSCC 9-bus system demonstrate the efficiency of the proposed method over DMC. Additionally, targeted stability enhancement strategies are designed to eliminate rare TI events and enhance the system's robustness to specific transient faults. |
| title | Efficient Sampling and Sensitivity Analysis of Rare Transient Instability Events via Subset Simulation |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2503.02858 |