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Contingency Analysis Based on Partitioned and Parallel Holomorphic Embedding
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DOI：10.1109/TPWRS.2021.3095767.png)
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Abstract
En 中文
In the steady-state contingency analysis, the traditional Newton-Raphson method suffers from non-convergence issues when solving post-outage power flow problems, which hinders the integrity and accuracy of security assessment. In this paper, we propose a novel robust contingency analysis approach based on holomorphic embedding (HE). The HE-based simulator provides theoretical convergence guarantee, which is desirable because it avoids the influence of numerical issues and provides a credible security assessment conclusion. In addition, based on the multi-area characteristics of real-world power systems, a partitioned HE (PHE) method is proposed with an interface-based partitioning of HE formulation. The PHE method does not undermine the numerical robustness of HE and significantly reduces the computation burden in large-scale contingency analysis. The PHE method is further enhanced by parallel or distributed computation to become parallel PHE ((PHE)-H-2). Tests on a 458-bus system, a synthetic 419-bus system and a large-scale 21 447-bus system demonstrate the advantages of the proposed methods in robustness and efficiency.
Keywords:
Convergence
Power systems
Mathematical model
Steady-state
Robustness
Jacobian matrices
Newton method
Contingency analysis
holomorphic embedding
convergence
system partition
parallel computation
distributed computation
approximation
complexity
Journal
IF:
7.2
Papers:
1.1W
Citations:
5.0W