【作者】 褚晓东； 刘玉田； 邱夕兆；

【Author】 Xiaodong Chu Yutian Liu (School of Electrical Engineering,Shandong University,250061) Xizhao Qiu (Electric Power Control Center,Shandong Electric Power Company,250001)

【机构】 山东大学电气工程学院； 山东电力调度中心；

【摘要】 利用径向基函数网络良好的逼近能力、并行计算特性,实现对系统关键线路的暂态稳定极限的在线估计。由径向基函数网络的偏导信息,求取关键线路的暂态稳定极限对各发电机组有功出力的一阶灵敏度,确定预防控制的控制方向和控制量。以一个实际系统为例,训练径向基函数网络对关键线路的暂态稳定极限进行估计并制定预防控制策略,结果表明径向基函数网络具有较高的估计精度并能提供灵敏度信息指导预防控制。更多还原

【Abstract】 On-line estimation of transient stability limits on critical lines of a power system is realized by utilizing radial basis function networks that feature universal approximation ability and parallel computing structure. Preventive control direction and quantity are determined based on first-order sensitivities of transient stability limits to generator outputs.The sensitivities are derived from partial derivatives of radial basis function network outputs to inputs.Radial basis function networks are trained for a practical power system in which the transient stability limit on a critical line is estimated and an appropriate preventive control strategy is proposed.The trained radial basis function networks are demonstrated to be precise in estimation and able to provide sensitivities guiding preventive control.更多还原