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

Pending Publication Date: 2022-05-10
CHINA ELECTRIC POWER RES INST +2
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The above studies have made some progress in the classification and identification of energy storage conditions. However, the operating conditions are complex and changeable. In traditional research, the operating conditions are often purely subjectively calibrated, and the accuracy of sample labels and identification results is difficult to guarantee.

Method used

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  • Energy storage power station operation condition classification method and system, storage medium and server
  • Energy storage power station operation condition classification method and system, storage medium and server
  • Energy storage power station operation condition classification method and system, storage medium and server

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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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Abstract

The invention discloses an energy storage power station operation condition classification method and system, a storage medium and a server. The method comprises the steps of collecting grid-connected operation condition data of an energy storage power station; preprocessing the grid-connected operation condition data of the energy storage power station to obtain a to-be-classified data set; judging whether a working condition classification model based on the random forest algorithm exists, if yes, inputting the to-be-classified data set into the working condition classification model based on the random forest algorithm for classification, and if not, training the working condition classification model based on the random forest algorithm; when the working condition classification model based on the random forest algorithm is trained, whether the working condition characteristic parameter system needs to be optimized or not is judged, if not, the working condition classification model based on the random forest algorithm is directly obtained, and if yes, the working condition characteristic parameter system is optimized based on the VIM of the working condition characteristic parameter importance measurement; and obtaining a working condition classification model based on a random forest algorithm. The working condition classification model based on the random forest algorithm has high tolerance to abnormal values and noise of working condition operation data.

Description

technical field [0001] The invention belongs to the technical field of electrochemical energy storage, and in particular relates to a method, a system, a storage medium and a server for classifying operating conditions of an energy storage power station. Background technique [0002] The high proportion of renewable energy puts forward higher requirements for the flexible adjustment capability of the power system. Energy storage technology is considered to be one of the main means to solve the instability of new energy power generation. The application of the power industry is becoming a new focus of the development of the power industry. [0003] The diversity of electrochemical energy storage application scenarios makes the application conditions of electrochemical energy storage different, and the performance of electrochemical energy storage batteries degrades due to the stress of the working conditions, and the degree of performance degradation is related to the load co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q10/06G06Q50/06
CPCG06Q10/0639G06Q50/06G06F18/24323G06F18/214
Inventor 陈继忠闫涛张敏赵军杨水丽常潇王凯丰李相俊张明霞
Owner CHINA ELECTRIC POWER RES INST
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