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- kjtrew.23 This paper presents a new and efficient approach for capacitor placement in radial distribution systems (RDS) that determine the optimal locations and size of capacitor with an objective of improving the voltage profile and reduction of power loss. The solution methodology has two parts: in part one the loss sensitivity factors (LSF) are used to select the candidate locations for the capacitor placement and in part two a new algorithm that employs Dijkstra Algorithm (DA) is used to estimate the optimal size of capacitors at the optimal buses determined in part one. The main advantage of the proposed method is that it does not require any external control parameters. The other advantage is that it handles the objective function and the constraints separately. The proposed method is applied to 33 & 69 RDS. The solutions obtained by the proposed method are compared with other methods. The proposed method has outperformed the other methods in terms of the quality of solution. OPTIMAL C
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文件名称:RADAR-IMAGING-OF-ISAR
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- 上传时间:2012-11-16
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SAR成像处理的过程是从回波数据中提取目标区域散射系数的二维分布,本质上是一个二维相关处理过程,因此最直接的处理方法是对回波进行二维匹配滤波,但其运算量很大,再加上SAR的数据率本来就高,这使得实时处难于实现。通常,可以把二维过程分解成距离向和方位向两个一维过程,Range-Dopper Algorithm(简称RD算法)-SAR imaging process is two-dimensional distribution of the scattering coefficient of the target area extracted from the echo data, in essence, is a two-dimensional process, the most direct approach is two-dimensional matched filtering of echo, its computationalthe great plus on SAR data rate was high, which makes real-time processing is difficult to achieve. Typically, two-dimensional process can be broken down into the range and azimuth to a two-dimensional process, the Range-Dopper Algorithm. (Referred to as the RD algorithm)
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radarIMAGINGOFISAR.m
合成孔径雷达(SAR)的点目标仿真(附件带代码程序).doc
合成孔径雷达(SAR)的点目标仿真(附件带代码程序).doc
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