Overview of Power Grid Loss Prediction and Early Warning Under Typhoon Disaster

2020 ◽  
Author(s):  
Fengrui Cheng ◽  
Hui Hou ◽  
Xianqiang Li ◽  
Jufang Yu ◽  
Shaohua Zhu ◽  
...  
Keyword(s):  
Early Warning ◽  
Power Grid ◽  
Loss Prediction ◽  
Typhoon Disaster ◽  
Grid Loss

An LSTM model for power grid loss prediction

2020 ◽  
Vol 189 ◽  
pp. 106823
Author(s):  
Jarkko Tulensalo ◽  
Janne Seppänen ◽  
Alexander Ilin
Keyword(s):  
Power Grid ◽  
Loss Prediction ◽  
Grid Loss

scholarly journals Damage Probability Assessment of Transmission Line-Tower System Under Typhoon Disaster, Based on Model-Driven and Data-Driven Views

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1447 ◽  
Author(s):  
Hui Hou ◽  
Hao Geng ◽  
Yong Huang ◽  
Hao Wu ◽  
Xixiu Wu ◽  
...  
Keyword(s):  
Transmission Line ◽  
Power Grid ◽  
Wind Load ◽  
Data Driven ◽  
Probability Assessment ◽  
Model Driven ◽  
Damage Probability ◽  
Typhoon Disaster ◽  
Damage Probability Assessment ◽  
Tower System

Under the typhoon disaster, the power grid often has serious accidents caused by falling power towers and breaking lines. It is of great significance to analyze and predict the damage probability of a transmission line-tower system for disaster prevention and reduction. However, some problems existing in current models, such as complicated calculation, few factors, and so on, affect the accuracy of the prediction. Therefore, a damage probability assessment method of a transmission line-tower system under a typhoon disaster is proposed. Firstly, considering the actual wind load and the design wind load, physical models for calculating the damage probability of the transmission line and power tower are established, respectively based on model-driven thought. Then, the damage probability of the transmission line-tower system is obtained, combining the transmission line and power tower damage probability. Secondly, in order to improve prediction accuracy, this paper analyzes the historical sample data containing multiple influencing factors, such as geographic information, meteorological information, and power grid information, and then obtains the correction coefficient based on data-driven thought. Thirdly, the comprehensive damage probability of the transmission line-tower system is calculated considering the results of model-driven and data-driven thought. Ultimately, the proposed method is verified to be effective, taking typhoon ‘Mangkhut’ in 2018 as a case study.

Architecture and Key Technologies of Intelligent Dispatching Based on Situational Awareness

2013 ◽  
Vol 448-453 ◽  
pp. 2259-2265
Author(s):  
Sheng Chun Yang ◽  
Bi Qiang Tang ◽  
Jian Guo Yao ◽  
Feng Li ◽  
Yi Jun Yu ◽  
...  
Keyword(s):  
Decision Making ◽  
Risk Analysis ◽  
Human Computer Interaction ◽  
Early Warning ◽  
Large Scale ◽  
Situational Awareness ◽  
Power Grid ◽  
Operating Conditions ◽  
Knowledge Mining ◽  
Grid Operation

With the construction of UHV power grid, integration of large-scale renewable clean energy, and large-scale energy base putting into operation, the power grid dispatching faced with more and more complex challenges. On the basis of existing research results, architecture of intelligent dispatching based on situation awareness is proposed, so as to accurately achieve prevention and control of the power system. The shortcomings of traditional dispatching mode are analyzed firstly, and the concepts and characterization approaches of grid situational awareness and operation state trajectory of power grid are then introduced. The overall objective of intelligent dispatching is presented, including data processing and integrated knowledge mining, predictive perception of grid operation, risk analysis and comprehensive early warning, so as to achieve "automatic cruise under normal operating conditions, automatic navigation under abnormal operating conditions ". The functional framework of intelligent dispatching is also proposed in details, including four major aspects of the perception and forecasts, risk analysis, decision-making support, and automatic control, as well as three supporting functions such as post-assessment of dispatching, trajectory index calculation, and human-computer interaction (HCI).Technical innovations to support automatic intelligent dispatching are discussed and organised in three levels, i.e. perception, comprehension and projection. The breakthroughs are: construction of index system, trajectory recognition based on massive information and knowledge mining, trajectory projection taking into accounts the uncertainties, online risk assessment and early warning, power grid intelligent decision-making support, automatic coordination of grid operation control, online assessment, natural human-computer interaction mode, and etc... These are the future research areas of automatic intelligent dispatching.

scholarly journals Research on Dynamic Monitoring and Early Warning Model of Fund for Power Grid Infrastructure Projects

2021 ◽  
Vol 245 ◽  
pp. 01059
Author(s):  
Qian Gao ◽  
Yuchun Han ◽  
Junyi Yang ◽  
Guiqin Zhang ◽  
Yu Hong ◽  
...  
Keyword(s):  
Early Warning ◽  
Process Management ◽  
Power Grid ◽  
Dynamic Monitoring ◽  
Grid Infrastructure ◽  
Early Warning Model ◽  
Whole Process ◽  
And Control ◽  
Warning Model ◽  
Monitoring And Early Warning

In order to strengthen the all-round and whole process management and control of the project, improve the quality of statistical data, support the high-quality development of the company and power grid, and identify the mismatch between the progress of fund payment and the progress of project site construction and cost accounting. Through the research on the dynamic monitoring and early warning model of power grid infrastructure project funds, the problems existing in the fund settlement and payment management of power grid project in the process of project implementation are accurately revealed, and the project fund payment risk is prevented.

Sign in / Sign up

Export Citation Format

Share Document