Research on Intelligent Judgment Technology of Monitoring Alarm Based on Power Grid Topology Division

2021 ◽  
Author(s):  
Nan Yang ◽  
Jiaqi Wang ◽  
Zechen Wei ◽  
Yupeng Huang ◽  
Xuri Song
Keyword(s):  
Power Grid ◽  
Grid Topology

Efficient Power Grid Topology Control via Two-Stage Action Search

2021 ◽  
pp. 694-704
Author(s):  
Yuecheng Liu ◽  
Yanjie Li ◽  
Qi Liu ◽  
Yunhong Xu ◽  
Shaohua Lv ◽  
...  
Keyword(s):  
Topology Control ◽  
Power Grid ◽  
Two Stage ◽  
Grid Topology ◽  
Efficient Power ◽  
Action Search

Based on the Integration of Power Grid Topology Model of Distribution Network Fault Analysis Applications

2014 ◽  
Vol 1006-1007 ◽  
pp. 1194-1198
Author(s):  
De Quan Yao ◽  
Yong Tao ◽  
Hao Ran Yu
Keyword(s):  
Power Grid ◽  
Distribution Network ◽  
Fault Analysis ◽  
Repair Service ◽  
Equipment Operation ◽  
Customer Information ◽  
Grid Topology ◽  
Topology Model ◽  
Network Fault ◽  
Fault Information

On the basis of grid GIS platform, in the distribution network repair platform implementation is based on the integration of power grid topology model of distribution network fault analysis mechanism, a combination of customer information, grid electricity equipment operation information such as all kinds of information, the cause of the problem of fault repair service to provide intelligence, integration judge method, improve the accuracy of the fault forecasting speed, the fault information, improve the efficiency of fault repair, shorten fault repair time, reduce the loss of electricity, improve customer satisfaction.

scholarly journals Estimation of Power Grid Topology Parameters through Pilot Signals

2016 ◽  
pp. 108-113
Author(s):  
S. Neshvad ◽  
H. Margossian ◽  
J. Sachau
Keyword(s):  
Power Grid ◽  
Grid Topology

scholarly journals Identification of line status changes using phasor measurements through deep learning networks

2021 ◽  
Vol 22 (6) ◽  
pp. 55-67
Author(s):  
N. E. Gotman ◽  
G. P. Shumilova
Keyword(s):  
Deep Learning ◽  
Transmission Lines ◽  
Power Grid ◽  
Measurement Data ◽  
Transient State ◽  
Test System ◽  
Learning Networks ◽  
Status Change ◽  
Grid Topology ◽  
High Level

THE PURPOSE. To consider the problem of detecting changes in a power grid topology that occurs as a result of the power line outage / turning on. Develop the algorithm for detecting changes in the status of transmission lines in real time by using voltage and current phasors captured by phasor measurement units (PMUs) are placed on buses. Carry out experimental research on IEEE 14-bus test system. METHODS. This paper proposes a method from the field of artificial intelligence such as machine learning in particular "Deep Learning" to solve the problem. Deep Learning arises as a computational learning technique in which high level abstractions are hierarchically modelled from raw data. One of the means to effectively extract the inherent hidden features in data are Convolutional Neural Networks (CNNs). RESULTS. The article describes the topic relevance, offers to apply the method for detecting status of lines using a CNN classifier. The combination of different CNN architectures and the number of time slices from the moment of line status change are used to detect the power grid topology. The effectiveness of the joint use of PMUs and CNN in solving this problem has been proven. CONCLUSION. A solution for the line status change detection in the transient states using a CNN classifier is proposed. A high accuracy of the line status detection was obtained despite the influence of noise on measurement data. A change in the network topology is detected at the very beginning of the transient state almost instantly. It will allow the operator several times during the first seconds to identify the line state in order to make sure that the decisions made are correct.

scholarly journals Influence of HVDC Transmission on DC Bias of AC Grid and Its Treatment

2021 ◽  
Author(s):  
Ruifeng Zhan ◽  
Yuying Hu ◽  
Fan Li ◽  
Zhou Mi ◽  
Lingpeng Dong
Keyword(s):  
High Voltage ◽  
Direct Current ◽  
Power Grid ◽  
Hvdc Transmission ◽  
High Voltage Direct Current ◽  
Grid Topology ◽  
Treatment Measures ◽  
Calculation Results ◽  
Transformer Winding ◽  
Dc Bias

With the rapid development of China’s electric power industry, the high-voltage and long-distance direct current (DC) transmission effectively solved the problem of uneven power distribution. When the high voltage direct current transmission is in unipolar operation or bipolar asymmetric operation, part of the DC current will flow into the transformer winding through the grounded neutral point, which will cause the DC bias problem. This article used CDEGS software for modeling, and introduced the process of CDEGS software for DC bias simulation modeling. In this paper, the DC bias model of regional power grid is first established, based on the Zhejiang power grid topology and the test soil resistivity date. Then the DC bias currents of the transformers are calculated, and finally the corresponding treatment measures are proposed. According to the governance measures, this article adjusted the simulation model. The calculation results show that the treatment measures have good effects, which can provide an important reference for the future treatment of transformer DC bias.

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