双模糊电力系统稳定器实现

针对常规模糊电力系统稳定器(C-FPSS)稳态性能差、结构简单、不利于规则调整的缺点,提出了能在线调整量化因子的双模糊电力系统稳定器(D-FPSS)的设计方案,在C-FPSS基础上增加了一个上级模糊控制器,形成二级模糊控制系统。该控制器通过调整加权因子改变控制规则,再用优化的控制规则进行控制。在Matlab/Simulink环境下采用龙山发电厂的参数进行非线性仿真,在不同故障运行条件下的结果分析表明:D-FPSS控制超调小,稳定速度快;控制效果受系统运行方式影响小,适应能力强;可很好地适应运行点的变化,具有较好的鲁棒性。在实际应用中,以M68HC705P9单片机为例,通过查表法实现D-FPSS,不但能够对控制规则在线优化,而且成本低、设计简单,有实用价值。

Implementation of power system stabilizer with double-fuzzy structure

Since C-FPSS(Common Fuzzy Power System Stabilizer) has poor steady state performance,simple structure and difficult rule regulation,a D-FPSS(Double-Fuzzy structure PSS) is proposed,which adds a superior fuzzy controller to the C-FPSS to on-line regulate the quantization factors,forming a two-level control system.The control rule is optimized by regulating the weight factor.Different fault conditions with parameters of Longshan Power Plant are simulated with Matlab/Simulink and results show that the proposed D-FPSS has fast and stable control performance with small overshoot,good adaptability to the change of system operating mode and strong robustness for different operating points.Taking M68HC705P 9 microcontroller as a practical example,D-FPSS is implemented using reference table method,which realizes on-line control rule optimization with low cost and simple design.