为解决有源电力滤波器(active power filter,APF)在井下应用时,容量受到限制,其接入位置影响着谐波电流治理效果的问题,提出了一种APF在井下电网中最优接入点的确定方法。该方法首先计算非线性负载所在母线与电网中其他母线的谐波相似度...为解决有源电力滤波器(active power filter,APF)在井下应用时,容量受到限制,其接入位置影响着谐波电流治理效果的问题,提出了一种APF在井下电网中最优接入点的确定方法。该方法首先计算非线性负载所在母线与电网中其他母线的谐波相似度值,然后通过选择算法确定了APF的最优接入位置,在降低了非线性负载处电压谐波畸变率的同时,最大程度优化全网的电能质量。仿真结果验证了该方法的可行性。展开更多
In this study,an explicit adaptive traffic allocation scheme for Machine-to-Machine(M2M)service is proposed to achieve optimum distribution in heterogeneous networks.Based on the characteristics of M2M services,the pr...In this study,an explicit adaptive traffic allocation scheme for Machine-to-Machine(M2M)service is proposed to achieve optimum distribution in heterogeneous networks.Based on the characteristics of M2M services,the presented scheme is formulated as a convex optimization problem that maximises the utility of the M2M service,and then determines how to allocate the total rate among the multiple access networks.The analysis and numerical simulations indicate that the proposed scheme makes a significant improvement in performance compared with the traditional schemes.展开更多
文摘为解决有源电力滤波器(active power filter,APF)在井下应用时,容量受到限制,其接入位置影响着谐波电流治理效果的问题,提出了一种APF在井下电网中最优接入点的确定方法。该方法首先计算非线性负载所在母线与电网中其他母线的谐波相似度值,然后通过选择算法确定了APF的最优接入位置,在降低了非线性负载处电压谐波畸变率的同时,最大程度优化全网的电能质量。仿真结果验证了该方法的可行性。
基金supported by the National Natural Science Foundation of Chinaunder Grant No.60971125the National Science and Technology Major Project of the Ministry of Science and Technology of Chinaunder Grant No.2012ZX03005-010the China Scholarship Council
文摘In this study,an explicit adaptive traffic allocation scheme for Machine-to-Machine(M2M)service is proposed to achieve optimum distribution in heterogeneous networks.Based on the characteristics of M2M services,the presented scheme is formulated as a convex optimization problem that maximises the utility of the M2M service,and then determines how to allocate the total rate among the multiple access networks.The analysis and numerical simulations indicate that the proposed scheme makes a significant improvement in performance compared with the traditional schemes.