针对一辆小型燃料电池电动车的2 k W质子交换膜燃料电池(PEMFC)动力系统,利用遗传算法优化的BP神经网络建立其电压输出特性模型,将PEMFC部分实测数据作为遗传算法优化的BP神经网络的训练样本对其进行训练,利用训练好的神经网络对电堆电...针对一辆小型燃料电池电动车的2 k W质子交换膜燃料电池(PEMFC)动力系统,利用遗传算法优化的BP神经网络建立其电压输出特性模型,将PEMFC部分实测数据作为遗传算法优化的BP神经网络的训练样本对其进行训练,利用训练好的神经网络对电堆电压输出特性进行预测,并与实验数据进行对比,结果显示:网络预测的输出电压与实测输出电压之间的最大相对误差均保持在4%之内.展开更多
An input-output signal selection based on Phillips-Heffron model of a parallel high voltage alternative current/high voltage direct current(HVAC/HVDC) power system is presented to study power system stability. It is w...An input-output signal selection based on Phillips-Heffron model of a parallel high voltage alternative current/high voltage direct current(HVAC/HVDC) power system is presented to study power system stability. It is well known that appropriate coupling of inputs-outputs signals in the multivariable HVDC-HVAC system can improve the performance of designed supplemetary controller. In this work, different analysis techniques are used to measure controllability and observability of electromechanical oscillation mode. Also inputs–outputs interactions are considered and suggestions are drawn to select the best signal pair through the system inputs-outputs. In addition, a supplementary online adaptive controller for nonlinear HVDC to damp low frequency oscillations in a weakly connected system is proposed. The results obtained using MATLAB software show that the best output-input for damping controller design is rotor speed deviation as out put and phase angle of rectifier as in put. Also response of system equipped with adaptive damping controller based on HVDC system has appropriate performance when it is faced with faults and disturbance.展开更多
文摘针对一辆小型燃料电池电动车的2 k W质子交换膜燃料电池(PEMFC)动力系统,利用遗传算法优化的BP神经网络建立其电压输出特性模型,将PEMFC部分实测数据作为遗传算法优化的BP神经网络的训练样本对其进行训练,利用训练好的神经网络对电堆电压输出特性进行预测,并与实验数据进行对比,结果显示:网络预测的输出电压与实测输出电压之间的最大相对误差均保持在4%之内.
文摘An input-output signal selection based on Phillips-Heffron model of a parallel high voltage alternative current/high voltage direct current(HVAC/HVDC) power system is presented to study power system stability. It is well known that appropriate coupling of inputs-outputs signals in the multivariable HVDC-HVAC system can improve the performance of designed supplemetary controller. In this work, different analysis techniques are used to measure controllability and observability of electromechanical oscillation mode. Also inputs–outputs interactions are considered and suggestions are drawn to select the best signal pair through the system inputs-outputs. In addition, a supplementary online adaptive controller for nonlinear HVDC to damp low frequency oscillations in a weakly connected system is proposed. The results obtained using MATLAB software show that the best output-input for damping controller design is rotor speed deviation as out put and phase angle of rectifier as in put. Also response of system equipped with adaptive damping controller based on HVDC system has appropriate performance when it is faced with faults and disturbance.
