基于多态菌群趋药性算法的电力系统稳定器参数协调优化

Parameter Optimization of Power System Stabilizer Based on Polymorphic Bacterial Chemotaxis Algorithm

电力系统稳定器是抑制电力系统低频振荡的重要装置,参数选择是否合理是其能否发挥作用的关键。提出一种基于多态菌群趋药性算法的电力系统稳定器参数优化新方法。根据时间乘绝对误差积分准则(ITAE准则),控制目标选为系统输出按最小误差跟踪给定值的能力,从而兼顾了系统受扰动后及趋于稳定的整个过程的动态性能。对四机两区域系统进行了特征值分析和非线性时域仿真,验证了所提方法的可行性和有效性。

Power system stabilizer（PSS） is an import device for suppressing power system low-frequency oscillation.Selecting its parameter reasonably plays a key role on its performance.Based on the polymorphic bacterial chemotaxis（PBC） algorithm,this paper presents a new method for PSS parameter optimization.According to the time multiplied absolute error integral criterion（ITAE criteria）,the ability of tracking a given value with minimum error of system output is chosen as the objective function.Thus the whole process of disturbed system is considered.Eigenvalue analysis and nonlinear time-domain simulation of the four-machine two-area system are completed to verify the feasibility and effectiveness of the proposed method.