High-efficiency Eigenvalue Calculation Method for Large-scale Time-delay Power System Based on Partial Infinitesimal Generator Discretization with Implicit Runge-Kutta
Basic Research|更新时间:2023-06-19
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High-efficiency Eigenvalue Calculation Method for Large-scale Time-delay Power System Based on Partial Infinitesimal Generator Discretization with Implicit Runge-Kutta
Automation of Electric Power SystemsVol. 47, Issue 12, Pages: 95-102(2023)
作者机构:
1.电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市250061
2.新疆大学电气工程学院,新疆维吾尔自治区乌鲁木齐市830046
作者简介:
基金信息:
National Natural Science Foundation of China(52077126)
JIA Xiaofan,YE Hua,LIU Yutian,et al.High-efficiency Eigenvalue Calculation Method for Large-scale Time-delay Power System Based on Partial Infinitesimal Generator Discretization with Implicit Runge-Kutta[J].Automation of Electric Power Systems,2023,47(12):95-102.
JIA Xiaofan,YE Hua,LIU Yutian,et al.High-efficiency Eigenvalue Calculation Method for Large-scale Time-delay Power System Based on Partial Infinitesimal Generator Discretization with Implicit Runge-Kutta[J].Automation of Electric Power Systems,2023,47(12):95-102. DOI: 10.7500/AEPS20220624006.
High-efficiency Eigenvalue Calculation Method for Large-scale Time-delay Power System Based on Partial Infinitesimal Generator Discretization with Implicit Runge-Kutta
The inherent time delays in the control loops of power systems will affect the performances of controllers and even endanger the stable operation of the system. Therefore
an eigenvalue calculation method based on the partial infinitesimal generator discretization with implicit Runge-Kutta (PIGD-IRK) is proposed for analyzing the effect of time delays on small disturbance stability of large-scale power systems. Firstly
the bottlenecks that restrict the computational efficiency of infinitesimal generator discretization with implicit Runge-Kutta (IGD-IRK) are analyzed. Secondly
by applying the partial spectral discretization idea
the dimension of the infinitesimal generator discretization matrix constructed by IGD-IRK is greatly reduced. Thirdly
the echelon block discretization matrix is further transformed into the product of the inverse of a constant matrix and an upper triangular block matrix by taking advantage of its structural characteristics
thus the sparsity of the discretization matrix and system augmented state matrix can be fully used in the process of eigenvalue calculation. Finally
the accuracy and high efficiency of the proposed method are verified on a two-area four-machine system and two actual power systems.
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