Prediction Techniques for Accelerating the Convergence of Alternating Solution Method during the Power System Dynamic Simulation Using SDC Integration Algorithm

2018 3rd Asia Conference on Power and Electrical Engineering

能源学;电工学

Dai, Hanyang^1 ; Song, Xinli^1 ; Liu, Tao^1 ; Su, Zhida^1 ; Li, Xia^1

State Key Laboratory of Power Grid Safety and Energy Conservation, Beijing

100192, China^1

关键词: Acceleration of convergence;    Integration algorithm;    Lagrange interpolations;    Power system dynamic simulation;    Prediction techniques;    Simulation efficiency;    Solution methods;    Strong nonlinear coupling;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/366/1/012012/pdf
DOI  :  10.1088/1757-899X/366/1/012012

来源: IOP

【 摘 要 】

The electric power of generator Peand 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 Peand 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 Pefor V and and simulation efficiency of SDC integration algorithm.