公开(公告)号：US20150339419A1

公开(公告)日：2015-11-26

申请号：US14285471

申请日：2014-05-22

Applicant: Oracle International Corporation

Inventor： Alexander Korobkov ,  Subramanian Venkateswaran ,  Wai Chung William Au

IPC: G06F17/50

CPC classification number: G06F17/5036

Abstract: A method for calculating voltage values in a power grid, including: obtaining a primary circuit representation (PCR) corresponding to the power grid and including: multiple nodes separated by multiple impedances; and an independent source connected to one node; identifying a high degree node; obtaining a modified circuit representation (MCR) by connecting, in the PCR, an auxiliary voltage source having an auxiliary voltage value to the high degree node, the MCR including a modified characteristic matrix and a modified source vector; calculating a modified state vector based on the modified characteristic matrix and the modified source vector; generating an admittance matrix based on the multiple impedances and the auxiliary voltage; obtaining an auxiliary voltage adjustment value using the admittance matrix; obtaining a primary state vector by adjusting the modified state vector using the admittance matrix and the auxiliary voltage adjustment value; and obtaining the voltage values from the primary state vector.

Abstract translation: 一种用于计算电网中的电压值的方法，包括：获得对应于电网的主电路表示（PCR），并包括：由多个阻抗分隔的多个节点; 和连接到一个节点的独立源; 识别高度节点; 通过在PCR中连接具有辅助电压值的辅助电压源到高度节点来获得修改的电路表示（MCR），MCR包括修改的特征矩阵和修改的源向量; 基于修改的特征矩阵和修改的源向量计算修改的状态向量; 基于多个阻抗和辅助电压产生导纳矩阵; 使用导纳矩阵获得辅助电压调整值; 通过使用导纳矩阵和辅助电压调整值调整修正状态矢量来获得主状态矢量; 并从主状态矢量获得电压值。

公开(公告)号：US09858642B2

公开(公告)日：2018-01-02

申请号：US14707896

申请日：2015-05-08

Applicant: Oracle International Corporation

Inventor： Rupesh Verma ,  Subramanian Venkateswaran ,  Yao-Cheng Tien ,  Jay J. Zhu

IPC: G06T3/40 ,  G06T11/20 ,  G09G5/373

CPC classification number: G06T3/40 ,  G06T11/206 ,  G09G5/373 ,  G09G2340/045

Abstract: Techniques herein are for generating geometric models. A method involves receiving a raw data set. Generation parameters include an abstraction function, a raw data set, a plurality of size pairs, and a quality interval. Each size pair comprises a view size and a portion size. The view size comprises an amount of display area. The portion size comprises an amount of raw data. For each size pair, associate a set of grid square sizes with the size pair. Each grid square size comprises a multiple of natural units. The quality interval contains a multiplicative product of the grid square size times a ratio of the view size to the portion size. Generate a set of geometric models based on the raw data set, the plurality of size pairs, the abstraction function, and the set of grid square sizes associated with the plurality of size pairs.