N-1 Security-Constrained 8760-Hour Power Flow Generation Method for New-Type Power Systems

The high penetration of renewable energy introduces strong uncertainty into power system operating conditions, making it difficult for conventional planning methods to effectively satisfy N-1 security verification requirements. To address this issue, this paper proposes an N-1 security-constrained 8760-hour power flow generation method (N-1-SC-8760-PFGM), formulated as a mixed-integer nonlinear programming (MINLP) problem. To overcome the computational intractability of direct solution, an energy-power-reactive power co-optimization method is developed based on objective consistency and solution path coordination. By employing a consistency-oriented objective function, a pre-embedded N-1 constraint mechanism, and a “verification–augmentation–re-optimization” solution strategy, the proposed method overcomes the limitations of traditional sequential optimization approaches, such as stage-wise independent objectives, insufficient coordination of N-1 constraints, and the lack of iterative re-optimization mechanisms during operating state adjustments. Case studies on modified IEEE 39-bus and IEEE 300-bus systems demonstrate that the proposed method achieves superior convergence and computational efficiency compared with conventional decomposition-based methods, and can efficiently generate full-year power flow profiles that satisfy N-1 security constraints.

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Publication Details

Journal
Energies
Published
2026-06-30
DOI
https://doi.org/10.3390/en19133086
Primary Topic
Optimal Power Flow Distribution
Type
article
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N-1 Security-Constrained 8760-Hour Power Flow Generation Method for New-Type Power Systems

S Li, Weigang Jin, Xiongguang Zhao, Junbo Zhang et al.
Energies
Optimal Power Flow Distribution
article

N-1 Security-Constrained 8760-Hour Power Flow Generation Method for New-Type Power Systems

S Li, Weigang Jin, Xiongguang Zhao, Junbo Zhang, Kangjie He, Ling Xu, Hao Chang, Jiaming Hu
article en

Abstract

The high penetration of renewable energy introduces strong uncertainty into power system operating conditions, making it difficult for conventional planning methods to effectively satisfy N-1 security verification requirements. To address this issue, this paper proposes an N-1 security-constrained 8760-hour power flow generation method (N-1-SC-8760-PFGM), formulated as a mixed-integer nonlinear programming (MINLP) problem. To overcome the computational intractability of direct solution, an energy-power-reactive power co-optimization method is developed based on objective consistency and solution path coordination. By employing a consistency-oriented objective function, a pre-embedded N-1 constraint mechanism, and a “verification–augmentation–re-optimization” solution strategy, the proposed method overcomes the limitations of traditional sequential optimization approaches, such as stage-wise independent objectives, insufficient coordination of N-1 constraints, and the lack of iterative re-optimization mechanisms during operating state adjustments. Case studies on modified IEEE 39-bus and IEEE 300-bus systems demonstrate that the proposed method achieves superior convergence and computational efficiency compared with conventional decomposition-based methods, and can efficiently generate full-year power flow profiles that satisfy N-1 security constraints.

EnergiesVol. 19(13)
State Grid Corporation of China (China) (CN), South China University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 11%
Optimal Power Flow Distribution
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