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Prediction Techniques for Accelerating the Convergence of Alternating Solution Method during the Power System Dynamic Simulation Using SDC Integration Algorithm
The electric power of generator Pe and bus voltage of network V have a strong nonlinear coupling relationship with other variables, which results in bad effects on the convergence procedure for the alternating solution method during the power system dynamic simulation using the SDC integration algor...
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Published in: | IOP conference series. Materials Science and Engineering 2018-06, Vol.366 (1), p.12012 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | The electric power of generator Pe and bus voltage of network V have a strong nonlinear coupling relationship with other variables, which results in bad effects on the convergence procedure for the alternating solution method during the power system dynamic simulation using the SDC integration algorithm. Deep research was conducted into this problem. The convergence procedure for Pe and V was illustrated during the simulation, and prediction techniques by applying the Lagrange interpolation to construct a better iterative initial value with smaller error for them was proposed. Based on the SDC simulation method, the proposed method was tested on an IEEE standard 3-generator 9-bus system on the platform of MATLAB, and results show that the prediction techniques performs quite well for the acceleration of convergence procedure Pe for V and and simulation efficiency of SDC integration algorithm. |
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ISSN: | 1757-8981 1757-899X |
DOI: | 10.1088/1757-899X/366/1/012012 |