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
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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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