The conventional two dimensional(2D)inverse synthetic aperture radar(ISAR)imaging fails to provide the targets'three dimensional(3D)information.In this paper,a 3D ISAR imaging method for the space target is propos...The conventional two dimensional(2D)inverse synthetic aperture radar(ISAR)imaging fails to provide the targets'three dimensional(3D)information.In this paper,a 3D ISAR imaging method for the space target is proposed based on mutliorbit observation data and an improved orthogonal matching pursuit(OMP)algorithm.Firstly,the 3D scattered field data is converted into a set of 2D matrix by stacking slices of the 3D data along the elevation direction dimension.Then,an improved OMP algorithm is applied to recover the space target's amplitude information via the 2D matrix data.Finally,scattering centers can be reconstructed with specific three dimensional locations.Numerical simulations are provided to demonstrate the effectiveness and superiority of the proposed 3D imaging method.展开更多
为提高微电网应对新能源出力和负荷不确定性的能力,提出1种考虑灵活性资源的微电网优化控制策略。根据各类灵活性资源的源储荷特性进行分类,建立微电网双层优化调度模型。用户层引入用户侧灵活性资源,以用户费用和净负荷差值最小为优化...为提高微电网应对新能源出力和负荷不确定性的能力,提出1种考虑灵活性资源的微电网优化控制策略。根据各类灵活性资源的源储荷特性进行分类,建立微电网双层优化调度模型。用户层引入用户侧灵活性资源,以用户费用和净负荷差值最小为优化目标,决策变量为电动汽车和可平移负荷出力功率。源储层模型加入储能侧与发电侧灵活性资源,以微电网运营商成本和失负荷率最小为优化目标,决策变量为燃气轮机、主网联络线和储能单元出力功率。使用场景缩减的季节典型日数据进行算例仿真,采用改进后的基于分解的多目标进化MOEA/D(multi-objective evolutionary algorithm based on decomposition)算法对双层优化调度模型进行求解,年均用户费用降低6.85%,运营商年均总成本下降14.68%,年均失负荷率下降6.65%,验证了本文所提模型的合理性和有效性。展开更多
针对具有不同加工流程信息的多类型零件的单元构建问题,建立了最大化机器利用率和成组效率的多目标单元构建数学规划模型。在此基础上,提出一种改进MOEA/D算法(improved multi-objective evolutionary algorithm based on decomposition...针对具有不同加工流程信息的多类型零件的单元构建问题,建立了最大化机器利用率和成组效率的多目标单元构建数学规划模型。在此基础上,提出一种改进MOEA/D算法(improved multi-objective evolutionary algorithm based on decomposition,IMOEA/D)。剖析模型特征,设计了面向机器分配和零件划分的双层编码策略;为了保证算法迭代的有效性,设计了初始化筛选方法和考虑各制造单元间机器零件平衡性的非法解修复策略;为了增强算法的局部探索能力,设计了基于模拟退火算法的局部搜索方法。实验结果表明所提算法具有优越的性能,获得的Pareto前沿解在覆盖率和Pareto比率两个指标上表现较优,且随着问题规模的扩大,其Pareto前沿优势更加明显。展开更多
文摘The conventional two dimensional(2D)inverse synthetic aperture radar(ISAR)imaging fails to provide the targets'three dimensional(3D)information.In this paper,a 3D ISAR imaging method for the space target is proposed based on mutliorbit observation data and an improved orthogonal matching pursuit(OMP)algorithm.Firstly,the 3D scattered field data is converted into a set of 2D matrix by stacking slices of the 3D data along the elevation direction dimension.Then,an improved OMP algorithm is applied to recover the space target's amplitude information via the 2D matrix data.Finally,scattering centers can be reconstructed with specific three dimensional locations.Numerical simulations are provided to demonstrate the effectiveness and superiority of the proposed 3D imaging method.
文摘为提高微电网应对新能源出力和负荷不确定性的能力,提出1种考虑灵活性资源的微电网优化控制策略。根据各类灵活性资源的源储荷特性进行分类,建立微电网双层优化调度模型。用户层引入用户侧灵活性资源,以用户费用和净负荷差值最小为优化目标,决策变量为电动汽车和可平移负荷出力功率。源储层模型加入储能侧与发电侧灵活性资源,以微电网运营商成本和失负荷率最小为优化目标,决策变量为燃气轮机、主网联络线和储能单元出力功率。使用场景缩减的季节典型日数据进行算例仿真,采用改进后的基于分解的多目标进化MOEA/D(multi-objective evolutionary algorithm based on decomposition)算法对双层优化调度模型进行求解,年均用户费用降低6.85%,运营商年均总成本下降14.68%,年均失负荷率下降6.65%,验证了本文所提模型的合理性和有效性。
文摘针对具有不同加工流程信息的多类型零件的单元构建问题,建立了最大化机器利用率和成组效率的多目标单元构建数学规划模型。在此基础上,提出一种改进MOEA/D算法(improved multi-objective evolutionary algorithm based on decomposition,IMOEA/D)。剖析模型特征,设计了面向机器分配和零件划分的双层编码策略;为了保证算法迭代的有效性,设计了初始化筛选方法和考虑各制造单元间机器零件平衡性的非法解修复策略;为了增强算法的局部探索能力,设计了基于模拟退火算法的局部搜索方法。实验结果表明所提算法具有优越的性能,获得的Pareto前沿解在覆盖率和Pareto比率两个指标上表现较优,且随着问题规模的扩大,其Pareto前沿优势更加明显。
