发电机励磁控制的Gain Scheduling设计

针对电力系统的非线性特性 ,提出了一种实用的非线性控制设计方法——增益规划 (Gain Scheduling,GS)。选择电磁功率 Pe,机端电压 Vt作为状态划分变量 ,将系统运行域分为若干区 ,在各区内的选定运行点上基于局部线性化模型设计底层控制器 ,如线性最优励磁控制器 (L OEC) ,通过对运行域内其它点实施模糊插值运算 ,得到上层全局的GS控制规律。数字仿真结果表明 ,GSEC能很好地适应系统运行点的变化 ,较固定增益的 L OEC具有更好的控制性能 ;并且可以离线设计 ,在线计算量和存储量均不大 ,利于实际应用

Gain scheduling approach to excitation control in power systems

Gain Scheduling, a practical nonlinear control scheme, is used to develop a two level nonlinear piece wise optimal excitation control strategy for power systems. The operating area of the power system is first divided into multiple zones. With a locally linearized model developed for each zone, the well known linear optimal control design method is then employed to obtain locally optimized closed loop performance. Global control law is developed for the system with the gain scheduling strategy as a top regulator by combining all the bottom level controllers using T S fuzzy interpolation algorthm. Characteristics of the proposed controller are investigated in a single machine infinite bus power system. Digital simulation shows that it can properly adjust the feedback gains of LOEC when the operating point of the system varies and has better transient/steady state performance than fixed gain LOEC.