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Model-driven and data-driven fused power grid operation situation awareness method and system

A model-driven, power grid operation technology, applied in the direction of neural learning methods, data processing applications, biological neural network models, etc., can solve problems such as difficulty in controlling the development and changes of power grid operation status

Pending Publication Date: 2020-08-25
CHINA ELECTRIC POWER RES INST +3
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] With the access of a high proportion of renewable energy, the development and change of the grid operation status is becoming more and more difficult to control

Method used

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  • Model-driven and data-driven fused power grid operation situation awareness method and system
  • Model-driven and data-driven fused power grid operation situation awareness method and system
  • Model-driven and data-driven fused power grid operation situation awareness method and system

Examples

Experimental program
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Effect test

Embodiment 1

[0084] A model-driven and data-driven grid operation situation awareness method, such as figure 1 , including the following steps,

[0085] The first step is to mine key elements: use the model-driven principal component analysis method to eliminate the factors that cause excessive overlapping of operational index information, and build a power grid operation situation evaluation system to characterize the power grid's operational trajectory;

[0086] The second step is situational understanding: use model-driven fuzzy analytic hierarchy process to evaluate the current operating status;

[0087] The third step is situation prediction: using the data-driven LSTM-attention mechanism, training and learning through sample data, and completing the perception of the security situation of the power grid; among them,

[0088] The first step is to mine key elements,

[0089] Firstly, the principle component analysis method is used to eliminate the factors of excessive overlapping of ...

Embodiment 2

[0148] The model-driven and data-driven power grid operation situation awareness method of this embodiment, on the basis of Embodiment 1, uses the power grid operation data of an eastern region from July 1, 2018 to December 31, 2018 as a sample, and the minutes are The unit was sampled with 1440 transects per day. Data section information includes generator active and reactive power output, line flow, transformer power, node voltage and load active and reactive power;

[0149] attached figure 1 Step 1 in the above describes the collection of input sample data. This method uses the power grid operation data from July 1, 2018 to December 31, 2018 in an eastern region as a sample, and samples are taken in units of minutes, with 1440 sections per day. Data section information includes generator active power, reactive power output, line power flow, transformer power, node voltage and load active and reactive power.

[0150] attached figure 1 The second step is to analyze the 128...

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Abstract

The invention discloses a model-driven and data-driven fused power grid operation situation awareness method and system, and the method comprises the steps: key element mining: removing the excessiveoverlapping factors of operation index information through employing a principal component analysis method based on model driving, and constructing a power grid operation situation evaluation system which is used for representing the operation track of a power grid; situation understanding: evaluating the current running state by utilizing a fuzzy analytic hierarchy process based on model driving;situation prediction: utilizing an LSTM-attention mechanism based on data driving to complete perception of the security situation of the power grid through sample data training learning; and throughsample data training learning, completing perception of a power grid security situation. Results prove that the model driving and data driving fused power grid operation situation awareness method serves as a scientific, reasonable and comprehensive power grid regulation and control situation awareness system and can be accurately suitable for awareness of the current operation state of a power system.

Description

technical field [0001] The invention belongs to the technical field of power grid regulation, and in particular relates to a method and system for sensing the situation of power grid operation in which model-driven and data-driven are integrated. Background technique [0002] In recent years, with the continuous development of the UHV power grid and the energy Internet, the time-varying and complex operation mode of the power grid has become increasingly complex, and it is becoming more and more difficult to recognize the power grid. The traditional control method based on mechanism analysis and power grid model relies on the decision-making and execution links of the experience analysis of the control personnel. The field is facing unprecedented opportunities and challenges; and the current power grid operation focuses on controlling the real-time operation status of the power grid, lacking an understanding of the continuous state of the whole process of the power grid in t...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06K9/62G06N3/04G06N3/08
CPCG06Q10/04G06Q10/06393G06Q50/06G06N3/049G06N3/084G06F18/23213
Inventor 林静怀范士雄范海威徐郑崎冯长有刘幸蔚韩晔李泽科皮俊波王晶董根源沈晓东
Owner CHINA ELECTRIC POWER RES INST
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