大规模电力系统阻尼控制器协调优化方法

Coordinated Optimization of Damping Controllers in Large-Scale Power System

为提高电力系统的小干扰稳定性,研究了阻尼控制器之间的协调优化策略,以选定的待改善模式为目标模式,采用模式追踪技术,以目标模式阻尼比最大化为优化目标建立优化模型,采用一种基于云模型理论的改进模拟植物生长算法(plant growth simulation algorithm,PGSA)对阻尼控制器参数进行协调优化。该算法通过改进搜索步长和迭代中加入云模型理论来提高算法的搜索效率和收敛速度,并且克服了常规PGSA算法无法适用于连续函数优化的缺点。进一步,基于大规模电网算例,分别以局部和区域间的低频振荡模式为目标模式进行参数优化,仿真结果验证了所提方法的有效性。

To improve small signal stability of power system the coordinated optimization strategy among damping controllers is researched. A mode, which is selected and to be improved, is taken as the target mode and taking the maximized damping ratio under the target mode as the optimization objective an optimization model is established, and the coordinated optimization of damping controller parameters is performed by a cloud model theory based improved plant growth simulation algorithm （PGSA）. Through improving search step-length and adding cloud model theory into the iterations both search efficiency and convergence speed of the improved PGSA are increased, meanwhile the defect that conventional PGSA is not suitable to the optimization of continuous fimctions is remedied. Farther, based on the calculation case of large-scale power grid and taking the local and interregional low-frequency oscillation modes as objectives respectively the parameters of damping controllers are optimized, and simulation results show that the proposed method is valid.