State Grid Jiangsu Electric Power Company

Hohai University

State Grid Jiangsu Electric Power Company Nanjing Power Supply Company

Shanghai Jiao Tong University

State Grid Jiangsu Electric Power Co., Ltd Nanjing Power Supply Company

Honghua Xu

Chunning Wang

Kai Li

Hongzhong Ma

Bingbing Chen

Hong Zhu

Ming Zhang

Wentao Huang

Yong Zhang

Hao Yu

Shaojun Liu

Nengling Tai

Yong Li

Lisha Gao

Yifan Zhu

Dongxu Zhou

Linqing Yang

Wendi Wang

Liwei Wang

Yiru Chen

Yangliu Cui

Di Ma

Ning Jiang

Zhoujun Ma

Hongyu Jiang

Shigang Dai

Su Pan

Tianyi Li

Zhengyi Zhu

Yuping Zheng

Baowen Liu

An SVM-based secure access method for wireless terminals. Step 1, establish a wireless network security model based on the communication scenarios of the wireless terminal and the wireless base station; establish the channel feature vectors based on the wireless network security model and the frames received by the wireless base station; Step 2, use the pre-trained SVM model to examine the channel feature vectors of the frames, determining whether the frames are legitimate signals; Step 3, determine whether the wireless terminal with at least one frame sent is a legitimate terminal based on whether at least one of the frames sent is a legitimate signal. The frames sent by the wireless terminals that access the wireless base station are examined to effectively determine legitimate terminals by improving the SVM parameter combination optimization method of differential evolution and the differential evolution method with an adaptive improvement of the control parameters.

SVM-based secure access method for wireless terminals

Disclosed are a method and apparatus for smoothing a link-line power of an electrothermal microgrid using a thermal storage heat pump cluster. The method includes: determining a current link-line power control target and pre-distributing a smoothing task to the heat pump cluster; making, by a heat pump start-stop control layer cluster, a heat pump cluster start-stop scheme, determining a start-stop state of the heat pump cluster and a start-stop smoothing component of the heat pump cluster according to the smoothing task, obtaining a remaining fluctuating power based on link-line fluctuating power and the start-stop smoothing component of the heat pump cluster; smoothing, by a heat pump cluster power adjustment layer, some medium and low frequency components and outputting a smoothing component of the heat pump cluster with respect to a storage battery output optimization target based on the remaining fluctuating power; and simultaneously undertaking, by the storage battery, a smoothing task of the remaining fluctuating power and outputting a storage battery smoothing component to complete the smoothing of the fluctuating power in a control cycle.

Method and apparatus for smoothing link-line power of electrothermal microgrid using thermal storage heat pump

The present invention relates to a leak detection method for GIS based on vibration signals and belongs to the technical field of apparatus for detecting or reacting mechanical or electrical troubles. The method is carried out by the following steps: 1) Installing a vibration sensor on each connecting flange of each gas-tight chamber of the GIS; 2) Starting the GIS; 3) Acquiring the vibration signals of sensors when the GIS operation is stable after starting; 4) Doing de-noise processing on the collected vibration signal; 5) Doing 4-layer wavelet packet decomposition of the vibration signal after noise reduction to obtain the energy proportion of the vibration signal in each frequency band; 6) Analyzing the energy proportion of the vibration signal in each frequency band in step 5), Then alarm to notify the relevant personnel. Return to step 3) until the fault has been solved.

GIS leak monitoring method based on vibration signal

The noise suppression method of individual active noise reduction system comprises the steps that: (1) initial noise digital signals are received and converted to serve as input signals of a BP neural network; (2) the input signals are processed to generate secondary digital signals; (3) the secondary digital signals are output to a loudspeaker and secondary noise is generated; (4) remained noise digital signals obtained by overlapping the initial noise and the secondary noise are received; whether remained noise digital signals is continuously constant for the set times is judged; if yes, the secondary digital signals are kept outputting; (5) if not, BP neural network parameters are optimized and adjusted with the amplitude of the remained noise digital signals being minimum as the optimality principle; remained noise digital signals of previous step are served as new input signals and the step (2) is executed again.

Transformer noise suppression method

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Nanjing, China

Honghua Xu