The multi-grid method has been known as an efficient iterative method for the linear systems and nonlinear systems that arise from finite difference approximations for partial differential equations. In this paper, th...The multi-grid method has been known as an efficient iterative method for the linear systems and nonlinear systems that arise from finite difference approximations for partial differential equations. In this paper, the multigrid method is extended to the application of solving integral equations which appear in electromagnetic scattering problems. The diakoptic theory is used for this purpose. Compared with other methods, the numerical results show that the multigrid method is powerful to solve electromagnetic scattering problems and can be used to compute electromagnetic scattering problems with electrically large bodies and complex structures.展开更多
Based on a lot of measurement and analysis,this paper find that the unbalanced nature of 35 kV grids due to unsymmetrical capacitance values gives difficulty in neutral point operation in mountainous area.Improving co...Based on a lot of measurement and analysis,this paper find that the unbalanced nature of 35 kV grids due to unsymmetrical capacitance values gives difficulty in neutral point operation in mountainous area.Improving compensation of Petersen coil can rectify imbalance of voltage but bring up new problem that Petersen coil can not extinguish grounding arc effectively in fault.To put down contradiction mentioned above,this paper proposes a combination operation for neutral point of 35 kV grids as neutral point insulated in routine operation and grounding through Petersen coil in fault,then EMTP simulation is carried out.Simulation indicates that new neutral operation method can improve lightning withstand level and decrease trip-out rate of grids.展开更多
为提升哈里斯鹰优化算法收敛精度,解决易陷入局部最优等问题,提出了一种基于迭代混沌精英反向学习和黄金正弦策略的哈里斯鹰优化算法(gold sine HHO,GSHHO)。利用无限迭代混沌映射初始化种群,运用精英反向学习策略筛选优质种群,提高种...为提升哈里斯鹰优化算法收敛精度,解决易陷入局部最优等问题,提出了一种基于迭代混沌精英反向学习和黄金正弦策略的哈里斯鹰优化算法(gold sine HHO,GSHHO)。利用无限迭代混沌映射初始化种群,运用精英反向学习策略筛选优质种群,提高种群质量,增强算法的全局搜索能力;使用一种收敛因子调整策略重新计算猎物能量,平衡算法的全局探索和局部开发能力;在哈里斯鹰的开发阶段引入黄金正弦策略,替换原有的位置更新方法,提升算法的局部开发能力;在9个测试函数和不同规模的栅格地图上评估GSHHO的有效性。实验结果表明:GSHHO在不同测试函数中具有较好的寻优精度和稳定性能,在2次机器人路径规划中路径长度较原始HHO算法分别减少4.4%、3.17%,稳定性分别提升52.98%、63.12%。展开更多
文摘The multi-grid method has been known as an efficient iterative method for the linear systems and nonlinear systems that arise from finite difference approximations for partial differential equations. In this paper, the multigrid method is extended to the application of solving integral equations which appear in electromagnetic scattering problems. The diakoptic theory is used for this purpose. Compared with other methods, the numerical results show that the multigrid method is powerful to solve electromagnetic scattering problems and can be used to compute electromagnetic scattering problems with electrically large bodies and complex structures.
基金Project Supported by Natural Science Foundation of CQ CSTC （ 2005BA6021 ）.
文摘Based on a lot of measurement and analysis,this paper find that the unbalanced nature of 35 kV grids due to unsymmetrical capacitance values gives difficulty in neutral point operation in mountainous area.Improving compensation of Petersen coil can rectify imbalance of voltage but bring up new problem that Petersen coil can not extinguish grounding arc effectively in fault.To put down contradiction mentioned above,this paper proposes a combination operation for neutral point of 35 kV grids as neutral point insulated in routine operation and grounding through Petersen coil in fault,then EMTP simulation is carried out.Simulation indicates that new neutral operation method can improve lightning withstand level and decrease trip-out rate of grids.
文摘为提升哈里斯鹰优化算法收敛精度,解决易陷入局部最优等问题,提出了一种基于迭代混沌精英反向学习和黄金正弦策略的哈里斯鹰优化算法(gold sine HHO,GSHHO)。利用无限迭代混沌映射初始化种群,运用精英反向学习策略筛选优质种群,提高种群质量,增强算法的全局搜索能力;使用一种收敛因子调整策略重新计算猎物能量,平衡算法的全局探索和局部开发能力;在哈里斯鹰的开发阶段引入黄金正弦策略,替换原有的位置更新方法,提升算法的局部开发能力;在9个测试函数和不同规模的栅格地图上评估GSHHO的有效性。实验结果表明:GSHHO在不同测试函数中具有较好的寻优精度和稳定性能,在2次机器人路径规划中路径长度较原始HHO算法分别减少4.4%、3.17%,稳定性分别提升52.98%、63.12%。
