采用多目标蝙蝠算法的电力系统广域协调控制策略

广域电网中多个电力系统稳定器之间存在相互作用，影响整个系统的控制效果，为此提出一种基于蝙蝠算法的多目标广域阻尼控制器协调设计方法. 该方法利用蝙蝠算法中种群的多样性，使得算法在迭代寻优过程中保持持续优化的能力，保证算法具有较好的收敛性和准确性；以机电振荡模态的实部和阻尼比为目标函数，将多机电力系统稳定器参数优化问题归结为带不等式约束的多目标优化问题. 分别在四机两区域系统和新英格兰典型系统的多种运行方式下进行仿真，结果表明：所提方法能够改善系统弱机电模式的特征值分布，有效抑制低频振荡，具有良好的控制效果和鲁棒性.

Wide-area coordination control strategy for power system using multi-objective bat algorithm

There is interaction between multiple power system stabilizers in the wide-area power grid, which affects the control effect of the whole system. Therefore, a coordinated design method of multi-objective wide area damping controller based on bat algorithm was proposed. This method made use of the population diversity of bat algorithm to keep the algorithm’s ability of continuous optimization in the iterative optimization process, which ensures that the algorithm has good convergence and accuracy. Taking the real part and damping ratio of the electromechanical oscillation mode as the objective function, the parameter optimization problem of the stabilizer of multi-machine power system was reduced to the multi-objective optimization problem with inequality constraint. The simulation results show that the proposed method can improve the eigenvalue distribution of the system’s weak electromechanical mode, effectively suppress the low frequency oscillation, and has good control effect and robustness.