基于遗传模拟退火算法的SEDC与SSDC控制参数的协调优化

Genetic and Simulated Annealing Algorithm Based Coordinated Optimization of Parameters of Supplementary Excitation Damping Controller With Parameters of Sub-Synchronous Oscillation Damping Controller

针对高压直流输电系统中出现的次同步振荡(sub-synchronous oscillation,SSO)问题,利用遗传模拟退火(generation simulated anneal,GASA)算法协调优化了附加励磁阻尼控制器(supplementary excitation damping controller,SEDC)和直流次同步阻尼控制器(sub-synchronous oscillation damping controller,SSDC)的控制参数。首先基于特征值分析法,将控制参数的协同优化抽象为一个非线性规划问题;然后针对所研究的系统,建立包含SEDC和SSDC的系统状态方程,进而运用GASA算法进行求解;最后通过系统特征值分析和PSCAD仿真验证了优化参数的有效性。研究表明:协调优化后的SEDC和SSDC可以显著减小系统特征根的实部,有效抑制SSO,保证电网的安全稳定运行。

To cope with the sub-synchronous oscillation（SSO） in HVDC power transmission system, the coordinated optimization of parameters of supplementary excitation damping controller（SEDC） with parameters of sub-synchronous oscillation damping controller（SSDC） is performed by genetic and simulated annealing algorithm. Firstly, based on the eigenvalue analysis the coordinated optimization of control parameters is abstracted to a non-linear programming problem; secondly, according to the researched system the state equations of a system containing SEDC and SSDC is established and solved by genetic and simulated annealing algorithm; finally, the effective of the optimized parameters are validated by eigenvalue analysis of the researched system and the results of PSCAD based simulation. Research results show that using the post-optimization parameters of SEDC and SSDC the real part of the eigenroot can be evidently decreased, thus the SSO can be effectively suppressed and the secure and stable operation of the HVDC transmission system can be ensured.