公开(公告)号：US11277009B2

公开(公告)日：2022-03-15

申请号：US16695533

申请日：2019-11-26

申请人： State Grid Jiangsu Electric Power CO., LTD Nanjing Power Supply Company ,  SHANGHAI JIAO TONG UNIVERSITY ,  HOHAI UNIVERSITY ,  STATE GRID JIANGSU ELECTRIC POWER CO., LTD

发明人： Yong Zhang ,  Zhoujun Ma ,  Ming Zhang ,  Wentao Huang ,  Shigang Dai ,  Yuping Zheng ,  Nengling Tai ,  Chunning Wang ,  Liwei Wang ,  Honghua Xu ,  Yiru Chen ,  Di Ma

IPC分类号： H02J3/32 ,  B01J19/08 ,  B01J19/10

摘要： 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.

公开(公告)号：US11678189B2

公开(公告)日：2023-06-13

申请号：US17490311

申请日：2021-09-30

申请人： State Grid Jiangsu Electric Power Co., Ltd

发明人： Hong Zhu ,  Wendi Wang ,  Dongxu Zhou ,  Lisha Gao ,  Shaojun Liu ,  Hao Yu ,  Honghua Xu ,  Zhengyi Zhu ,  Su Pan ,  Tianyi Li ,  Yifan Zhu ,  Linqing Yang

IPC分类号： H04W12/08 ,  G06N20/10

CPC分类号： H04W12/08 ,  G06N20/10

摘要： 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.

公开(公告)号：US10083709B2

公开(公告)日：2018-09-25

申请号：US15323407

申请日：2015-01-15

申请人： STATE GRID JIANGSU ELECTRIC POWER COMPANY NANJING POWER SUPPLY COMPANY ,  STATE GRID JIANGSU ELECTRIC POWER COMPANY ,  STATE GRID COMPANY CORPORATION OF CHINA ,  Hohai University

发明人： Ning Jiang ,  Hongzhong Ma ,  Kai Li ,  Honghua Xu ,  Chunning Wang ,  Bingbing Chen ,  Hongyu Jiang

IPC分类号： G10K11/178 ,  G10L21/0232 ,  G06N3/02 ,  H01F27/33 ,  G06F17/11 ,  G06N3/04 ,  G06N3/08 ,  G06N5/04 ,  H04R3/00 ,  H04R3/04

CPC分类号： G10L21/0232 ,  G06F17/11 ,  G06N3/006 ,  G06N3/02 ,  G06N3/04 ,  G06N3/08 ,  G06N3/084 ,  G06N5/04 ,  G06N7/005 ,  G10K11/1785 ,  G10K11/17881 ,  G10K2210/125 ,  G10K2210/3026 ,  G10K2210/3027 ,  G10K2210/3038 ,  H01F27/33 ,  H04R3/005 ,  H04R3/04 ,  H04R2410/05

摘要： 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.