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AGC控制器的参数对电网频率控制的动态性能具有重要影响。不合适的控制器参数将可能使得电网在遭遇较大的负荷扰动时失去频率稳定。针对互联电网AGC控制器参数优化整定问题,提出了一种基于社会学习自适应细菌觅食算法的最优PI/PID控制器设计方法。该方法将社会学习机制及自适应步长策略引入到标准细菌觅食算法中,通过改进细菌寻优过程中的趋化、群聚及繁殖等操作,提高算法的收敛速度及寻优精度。建立两区域互联电网AGC系统仿真模型,采用所提算法优化整定其PI/PID控制器参数。仿真结果验证了所提方法的有效性。
The parameters of the AGC controller have a significant influence on the dynamic performance of the grid frequency control. Inappropriate controller parameters may cause the grid to lose its frequency stability when subjected to large load disturbances. In order to solve the problem of AGC controller parameter optimization in interconnected power system, an optimal PI / PID controller design method based on social learning adaptive bacteria foraging algorithm is proposed. This method introduces social learning mechanism and adaptive step strategy into standard bacterial foraging algorithm, and improves the convergence speed and accuracy of the algorithm by improving the chemotaxis, clustering and multiplication in the process of bacterial optimization. The AGC system simulation model of two regional interconnected power grids is established, and the proposed algorithm is used to optimize the parameters of the PI / PID controller. Simulation results verify the effectiveness of the proposed method.