State Grid Corporation of China

Hohai University

Jiangsu Electric Power Company Nanjing Power Supply Company

China Electric Power Research Institute

Nanjing University of Information Science & Technology

Jiangsu Electric Power Company

Nanjinghehai Technology Limited Company

Nianri Technology Development Limited Company, State Grid Electric Power Research Institute

Jiangsu Electric Power Company, State Grid Corporation of China

Jiangsu Nanjing Power Supply Company

Kai Chen

Hong Zhu

Chunning Wang

Peifeng Shen

Jing Xiao

Ying Di Zhang

Peng Gao

Guojie Wang

Tao Han

Lei Wei

Jianguo Yao

Kai Li

Hongzhong Ma

Wen Dai

Bo Wang

Haodong Shen

Kun Yu

Hongwei Du

Xingying Chen

Ruibo Qiu

Min Cai

Aili Liu

Tingli Chen

Yalin Liu

Junjing Zhang

Wenlu Ji

Xing Luo

Wen Lu

Lin Wu

Rina Saqi

Tingji Chen

Yiming Wu

Hongtao Liu

Taotao Chen

Yingchen Liao

A photogrammetric ground control point quality evaluation method based on Monte Carlo test relates to the field of photogrammetry technology. Firstly, aerial photographs and ground control points from a survey area are obtained, the ground control points are numbered, the aerial photographs are performed with point-placing and aerial triangulation densification. Secondly, a Monte Carlo test experiment is designed, a certain number of the ground control points are selected as control points with the rest as check points, ensuring each ground control point as the control point a certain number of times, and average errors of the ground control points are calculated. Thirdly, average values of the average errors of the ground control points are calculated, standard deviations of the average errors of the ground control points are calculated. Finally, a quality coefficient Q of each ground control point is calculated and evaluated according to quality evaluation standards.

Photogrammetric ground control point quality evaluation method based on Monte Carlo test

smart power distribution system and a method to progressively dispatch the power is described. The method steps are all automatic and self-adaptive. The method can be executed in an unattended manner to automatically correlate real time data vs. historical data, planning data vs. operation data. Based on a long cycle periodical variation and short-term random variations in load, and taking into account the temporary load power supply and maintenance needs, a multi-stage progressive multiple time scales optimal dispatching method is developed, including the distributed power, micro-grids, energy storage devices, electric vehicles charge-discharge facility and other elements of the Intelligent power distribution systems, to achieve coordinated operation of the network, power, load resources to ensure a continuous safe and reliable smart power distribution system operated at high quality and efficiency.

Progressive optimization dispatching method of smart distribution system

The invention provides a global optimization and dispatching method based on time scales. The method uses a target value system and a dispatch model. The global optimization and dispatching method takes input from the results from a variety of subtopics. The methods provide adjustment and optimization in accordance with the time scales that are given in the sub goal of each sub topic: long-term, mid-long-term, short-term, ultra short term and real time optimization. Smart distribution grid can improve operational efficiency, integrated application of new elements in the distribution network of distribution energy network, micro grid, energy storage device and non-linear loads. This invention is fully adapted to the smart grid trends, with a good prospective.

Time based global optimization dispatching method

This invention publishes a fault diagnosis and location system for transformer core looseness, consists of vibration sensors, data collection and computer. It is of power transformer fault intelligent diagnosis technology technical field. Fault diagnosis and location method uses three vibration sensors positioned on the top of transformer tank, to obtain vibration signal, uses signal processing to analyze the signal, and obtains fault characteristics of the transformer core looseness. The characteristics respectively are 50 Hz, 150 Hz and 300 Hz frequency components, in which 300 Hz is main feature. When they reach a certain value at one position, it suggests that transformer core looseness near this position. By the comparison of differences among signals of three positions, fault location can be done. This invention manifests fault characteristics accurately and detects core looseness efficiently. The invention uses the electricity grid frequency of 50 Hz for example, for 60 Hz power system, above 50 Hz, 150 Hz, 300 Hz characteristic frequencies are 60 Hz, 180 Hz and 360 Hz.

Fault diagnosis and preliminary location system and method for transformer core looseness

Growing community of inventors

Nanjing, China

Kai Chen