A method for predicting critical cut-off time of power grid based on eeac and elm
A technology of critical cutting time and prediction method, applied in the direction of multi-phase network elimination/reduction of asymmetry, electrical components, circuit devices, etc., can solve problems such as slow calculation speed, difficulty in online calculation, and reduced accuracy of calculation results, and achieve Effects of preventing the spread of accidents and improving accuracy and reliability
Active Publication Date: 2022-07-05
SOUTHEAST UNIV
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Problems solved by technology
Although the calculation result of the time domain simulation method is accurate, the calculation speed is slow and it is difficult to meet the requirements of online calculation.
Both the EEAC method and the TEF method are direct methods, which have improved in calculation speed and are also applied in practical engineering. However, the simplified assumptions of the power system model are included in the calculation process, which leads to a decrease in the accuracy of the calculation results. reduce
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[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0023] A power grid critical cut-off time prediction method based on EEAC and ELM. The power system tested by the prediction method includes 10 generators and 46 transmission lines. figure 2 For the power system network topology map, the Monte-Carlo method is used to generate 1500 groups of samples required for the test, and the overall load level is set to obey a uniform distribution in a certain interval, and the value is [0.8, 1.2...
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The invention provides a method for predicting the critical cut-off time of a power grid based on EEAC and ELM, and belongs to the technical field of power grid security and stability analysis. This method is based on the extended equal area rule based on the simplified model, and uses the extreme learning machine theory to correct the output results of the extended equal area rule, and establishes a prediction framework for the critical removal time of related faults in the power grid, which can rely on the online analysis results of the system model and online quantities. The measurement data can be used to quickly predict the critical removal time of grid faults. The invention can ensure the accuracy and reliability of the power grid transient stability index evaluation under the premise of meeting the online calculation speed requirements; Help operators to quickly and accurately formulate grid control measures to prevent accidents from expanding.
Description
technical field [0001] The invention relates to the field of power grid security and stability analysis methods, in particular to a power grid critical cut-off time prediction method based on EEAC and ELM. Background technique [0002] Due to the influence of regional grid interconnection, new energy access and grid operation economic policies, the operation of modern power systems is often close to its operating limit, and any slight disturbance of faults may disrupt the stable operation of the power system. Therefore, after the system is disturbed, it is of great significance to quickly and accurately predict the transient stability margin of the system for formulating the security and stability control strategy of the system. [0003] The traditional power system transient stability analysis methods mainly include time domain simulation method, EEAC method (Extended EqualArea Criterion, extended equal area rule), transient energy function method (Transient Energy Fuction,...
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IPC IPC(8): H02J3/24H02J3/38H02J3/26H02H7/26H02J13/00
CPCH02J3/24H02J3/38H02J3/26H02H7/26H02J13/00002H02J13/00006H02J2203/10H02J2203/20Y04S10/12Y04S10/20Y04S40/12Y02E40/70Y02E40/50Y02E60/00
Inventor 李峰王琦汤奕
Owner SOUTHEAST UNIV