Energy storage power station operation condition classification method and system, storage medium and server
A technology of operating conditions and energy storage power stations, applied in the field of electrochemical energy storage, can solve the problems of difficult to guarantee the accuracy of sample labels and identification results, complex and changeable operating conditions, etc., and achieve strong tolerance and unbiased estimation classification , the effect of simplifying the model structure
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Embodiment 1
[0085] see figure 1 , a method for classifying operating conditions of an energy storage power station according to an embodiment of the present invention, comprising the following steps:
[0086] S1. Collect the grid-connected operating condition data of the energy storage power station;
[0087] S2. Perform data preprocessing on the grid-connected operating condition data of the energy storage power station to obtain a data set to be classified;
[0088] S3. Determine whether there is a working condition classification model based on the random forest algorithm. If so, input the data set to be classified into the working condition classification model based on the random forest algorithm for classification. If not, train the working condition classification model based on the random forest algorithm ; When training the working condition classification model based on the random forest algorithm, judge whether it is necessary to optimize the working condition characteristic p...
Embodiment 2
[0118] The present invention will be described below in conjunction with actual scenarios. The present invention has collected N=238 groups of C=5 kinds of actual operating condition data of grid-connected lithium-ion battery energy storage power stations above MW level with N=238 groups, 16 groups of auxiliary frequency modulation on the power supply side, 27 groups of optical storage combination, wind storage smoothing and planning The outputs are 96 and 73 groups respectively, and 26 groups for peak-shaving and valley-filling on the power grid side. The energy storage systems for the above five applications operate at a power of 0.1-1P 0 , The capacity is 5-80% DOD and the time is within the range of seconds to hours, starting from the two attributes of power and energy that characterize the working conditions of the energy storage power station, response speed, working time, waveform characteristics, etc. , select M = 20 working condition performance characterization para...
Embodiment 3
[0136] The present invention also proposes a classification system for operating conditions of an energy storage power station, including:
[0137] The data set to be classified acquisition module 1 is used to collect the grid-connected operation condition data of the energy storage power station and obtain the data set to be classified;
[0138] Model classification module 2 is used to judge whether there is a working condition classification model based on the random forest algorithm. If there is, the data set to be classified is input into the pre-trained working condition classification model based on the random forest algorithm for classification. If not, the training is based on The working condition classification model of the random forest algorithm, and then input the data set to be classified into the pre-trained working condition classification model based on the random forest algorithm for classification; when training the working condition classification model base...
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