CN114024328A - Comprehensive evaluation method and device for energy storage power station system and readable medium - Google Patents
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Abstract
The invention provides a comprehensive evaluation method, equipment and a readable medium for an energy storage power station system, wherein the evaluation method comprises the following steps: acquiring charge and discharge related data of an energy storage power station system; analyzing the consistency state of the battery module of the energy storage power station system based on the charging and discharging related data to obtain the consistency index of each influence factor of the battery module; and determining the weight of the consistency index of each influence factor of the battery module in the comprehensive evaluation index of the energy storage power station system to obtain the comprehensive performance index of the energy storage power station system. The method comprehensively and effectively evaluates the current running state of the energy storage power station system from multiple angles of overall SOH, battery module voltage, temperature, SOC, available capacity consistency and the like of the energy storage power station system, thereby effectively improving the evaluation efficiency and precision.
Description
Technical Field
The invention relates to the technical field of energy storage systems, in particular to a method, equipment and a readable medium for comprehensively evaluating the running state of an energy storage power station system.
Background
In recent years, the construction in the field of energy storage power station systems is accelerated, batteries in the energy storage power station systems are aged along with the operation of the systems, capacity attenuation can occur to battery modules in the energy storage power station systems, and the consistency state is poor, so that how to quickly and accurately evaluate the current operation state of the energy storage power station systems is a key problem for promoting the large-scale application of the energy storage power station systems.
The current evaluation method for the running state of the energy storage power station system is generally based on the current capacity of a battery module in the energy storage power station system as a unique evaluation standard. However, other consistency important information of the battery module is ignored in the methods, so that the real-time operation state of the energy storage power station system cannot be comprehensively reflected, and the evaluation efficiency and the evaluation accuracy are reduced.
Disclosure of Invention
The present invention is directed to a method, a device and a readable medium for comprehensive evaluation of an energy storage power station system, so as to overcome the above-mentioned drawbacks in the prior art.
The invention solves the technical problems through the following technical scheme:
as an aspect of the present invention, there is provided a comprehensive evaluation method for an energy storage power station system, including:
acquiring charge and discharge related data of the energy storage power station system;
analyzing the consistency state of a battery module of the energy storage power station system based on the charging and discharging related data to obtain the consistency index of each influence factor of the battery module; and
and determining the weight of the consistency index of each influence factor of the battery module in the comprehensive evaluation index of the energy storage power station system to obtain the comprehensive performance index of the energy storage power station system.
As an optional implementation manner, in the step of obtaining the charge and discharge related data of the energy storage power station system, the charge and discharge related data includes historical charge and discharge data and any one or more of voltage, current, available capacity, SOC (state of charge) and SOH (state of health) data of the battery module under the operation condition.
As an optional implementation manner, after the step of obtaining the charge and discharge related data of the energy storage power station system, the comprehensive evaluation method further includes:
and carrying out data preprocessing on the charge and discharge related data to identify and eliminate data abnormal points.
As an optional embodiment, the step of performing data preprocessing on the charge and discharge related data includes:
and performing data preprocessing on the charge and discharge related data based on a HAMPEL filtering algorithm (a filtering mode).
As an optional implementation manner, the step of analyzing the consistency state of the battery module of the energy storage power station system based on the charge and discharge related data to obtain the consistency index of each influencing factor of the battery module includes:
and analyzing the consistency state of the battery module of the energy storage power station system by combining the Euclidean norm of the range sequence based on the charge and discharge related data so as to obtain the consistency index of each influence factor of the battery module.
As an optional implementation manner, the step of determining the weight of the consistency index of each influence factor of the battery module in the comprehensive evaluation index of the energy storage power station system to obtain the comprehensive performance index of the energy storage power station system includes:
and determining the weight of the consistency index of each influence factor of the battery module in the comprehensive evaluation index of the energy storage power station system based on a hierarchical analysis mode so as to obtain the comprehensive performance index of the energy storage power station system.
As an optional implementation manner, the step of determining the weight of the consistency index of each influence factor of the battery module in the comprehensive evaluation index of the energy storage power station system to obtain the comprehensive performance index of the energy storage power station system includes:
and determining the weight of the consistency index of each influence factor of the battery module in the comprehensive evaluation index of the energy storage power station system, and weighting and summing the consistency indexes of each influence factor according to the weight to obtain the comprehensive performance index of the energy storage power station system.
As an alternative, the influencing factors include any one or more of voltage, current, temperature, available capacity, SOC, and SOH.
As another aspect of the present invention, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the comprehensive evaluation method of the energy storage power station system is implemented.
As another aspect of the present invention, a computer readable medium is provided, on which computer instructions are stored, which when executed by a processor, implement the comprehensive evaluation method of an energy storage power plant system as described above.
Other aspects of the present disclosure will be apparent to those skilled in the art in view of the present disclosure.
The positive progress effects of the invention are as follows:
according to the comprehensive evaluation method, the comprehensive evaluation equipment and the readable medium for the energy storage power station system, the current operation state of the energy storage power station system is comprehensively and effectively evaluated from multiple angles of the overall SOH, the battery module voltage, the temperature, the SOC, the available capacity consistency and the like of the energy storage power station system, so that the evaluation efficiency and the evaluation precision are effectively improved.
According to the comprehensive evaluation method, the comprehensive evaluation equipment and the readable medium of the energy storage power station system, firstly, an analytic hierarchy process is introduced to calculate the weight of each influence factor in a comprehensive index, so that uncertainty deviation caused by artificial weight factor designation is avoided; secondly, the test data of the energy storage power station system are filtered through the HAMPEL filtering algorithm, abnormal points of the data caused by fluctuation of the external environment are eliminated, and the accuracy of subsequent calculation is improved; then, measuring the consistency of the voltage, the SOC, the SOH and the like of the battery module by adopting the Euclidean norm of the polar difference sequence, and analyzing the consistency of all dimensions of the battery module from the angle of fluctuating polar difference; and finally, measuring the comprehensive performance of the energy storage system based on various indexes such as the SOH of the battery, the consistency index of the battery module and the like.
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The features and advantages of the present invention will be better understood upon reading the detailed description of embodiments of the invention in conjunction with the following drawings. In the drawings, components are not necessarily drawn to scale, and components having similar relative characteristics or features may have the same or similar reference numerals.
Fig. 1 is a schematic flow chart of a comprehensive evaluation method of an energy storage power station system according to an embodiment of the disclosure.
Fig. 2 is a schematic structural diagram of an electronic device implementing a comprehensive evaluation method for an energy storage power station system according to another embodiment of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
It should be noted that references in the specification to "one embodiment," "an alternative embodiment," "another embodiment," etc., indicate that the embodiment described may include a particular feature, structure, or characteristic, but every embodiment may not necessarily include the particular feature, structure, or characteristic. Moreover, such phrases are not necessarily referring to the same embodiment. Further, when a particular feature, structure, or characteristic is described in connection with an embodiment, it is submitted that it is within the knowledge of one skilled in the relevant art to effect such feature, structure, or characteristic in connection with other embodiments whether or not explicitly described.
In the description of the present disclosure, it is to be understood that the terms "center", "lateral", "up", "down", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used only for convenience in describing the present disclosure and for simplicity in description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present disclosure. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present disclosure, unless otherwise specified, "a plurality" means two or more. Furthermore, the term "comprises" and any variations thereof is intended to cover non-exclusive inclusions.
In the description of the present disclosure, it should be noted that unless otherwise explicitly stated or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the context of the present invention may be understood in a specific context to those of ordinary skill in the art.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used herein, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
In order to overcome the above defects in the prior art, the present embodiment provides a comprehensive evaluation method for an energy storage power station system, including: acquiring charge and discharge related data of an energy storage power station system; analyzing the consistency state of the battery module of the energy storage power station system based on the charging and discharging related data to obtain the consistency index of each influence factor of the battery module; and determining the weight of the consistency index of each influence factor of the battery module in the comprehensive evaluation index of the energy storage power station system to obtain the comprehensive performance index of the energy storage power station system.
In the embodiment, the current running state of the energy storage power station system is comprehensively and effectively evaluated by comprehensively considering the consistency factor of the energy storage power station system, so that the evaluation efficiency and precision are effectively improved.
Specifically, as an embodiment, as shown in fig. 1, the comprehensive evaluation method for an energy storage power station system based on a multidimensional hierarchical analysis technology provided in this embodiment mainly includes the following steps:
In this step, the charge and discharge related data includes any one or more of historical charge and discharge data and voltage, current, available capacity, SOC, and SOH data of the battery module under the operating condition, and preferably, the charge and discharge related data includes all the data described above, but the type of the charge and discharge related data is not particularly limited, and may be adjusted and selected accordingly according to actual needs.
Specifically, the method comprises the following steps of collecting charging and discharging related data of the energy storage power station system: the method comprises the steps of collecting historical charging and discharging data of the energy storage power station system in a starting and stopping time range, and recording voltage, current, available capacity, SOC (system on chip) and SOH (sequence of events) data of each battery module and each single body in the energy storage power station system under the operating condition.
And 102, performing data preprocessing on the charge and discharge related data to identify and eliminate data abnormal points.
In the step, data preprocessing is carried out on the charge and discharge related data based on a HAMPEL filtering algorithm so as to identify and reject abnormal points of the data.
Specifically, if the charge and discharge related raw data collected in step 101 contains an abnormal point (for example, a certain switch is turned on or off to cause instantaneous impact to the voltage of the associated battery), the subsequent calculation result is adversely affected, so that the HAMPEL filtering algorithm is adopted in the embodiment to preprocess the raw measurement data, and the abnormal point in the time sequence is identified and removed.
The input time series x is subjected to HAMPEL filtering, and outliers are detected and removed. For each sample of x, the median of a window consisting of the sample and its six surrounding samples is calculated. Then, the median absolute value (MAD) is used to estimate the standard deviation σ of each sample to the median 1.4826 × MAD. For any sample point in the window, if it differs from the median by more than three standard deviations (3 σ), then that point is identified as an outlier and replaced with the median of the window.
And 103, analyzing the consistency state of the battery module of the energy storage power station system based on the charging and discharging related data to obtain the consistency index of each influence factor of the battery module.
In the step, the consistency state of the battery module of the energy storage power station system is analyzed by combining the extreme difference sequence Euclidean norm based on the charging and discharging related data so as to obtain the consistency index of each influence factor of the battery module.
Specifically, the consistency state analysis of the battery module comprises the following steps: and (4) measuring the consistency state of the battery module of the energy storage system by combining the Euclidean norm of the range sequence based on the data obtained in the steps (101) and (102), and respectively calculating the consistency indexes of the voltage, the temperature, the charge state and the available capacity of the battery module. Taking voltage uniformity as an example, other types of data are the same:
(1) for the battery module comprising N single batteries, calculating to obtain voltage range corresponding to all battery monomers under the jurisdiction of the battery module according to the voltage time sequence data of each battery monomer obtained in the step 102Sequence Vt，
Wherein Vi,t、Vj,tRespectively showing the voltage of the ith battery cell and the j th battery cell at the time t, wherein N is the number of the battery cells in the battery module, and M is the number of measurement data points of the voltage time sequence. Thus obtaining the voltage range sequence V of the battery moduletAnd calculating the subsequent voltage consistency index.
(2) The battery module voltage range sequence V obtained according to the step (1)tCalculating to obtain the corresponding Euclidean norm L,
(3) and calculating a battery module voltage consistency index α, that is, α is 1-L/β (β is an upper and lower limit difference of the charge and discharge voltage of the single battery), based on the euclidean norm L obtained in the above (2).
The SOC, the available capacity, the temperature consistency index, and the like of the battery module are calculated according to the above-described procedures (1) to (3).
And 104, determining the weight of the consistency index of each influence factor of the battery module in the comprehensive evaluation index of the energy storage power station system to obtain the comprehensive performance index of the energy storage power station system.
In the step, based on a hierarchical analysis mode, determining the weight of the consistency index of each influence factor of the battery module in the comprehensive evaluation index of the energy storage power station system, and weighting and summing the consistency index of each influence factor according to the weight to obtain the comprehensive performance index of the energy storage power station system.
In this step, the influencing factor includes any one or more of voltage, current, temperature, available capacity, SOC and SOH, and preferably, the influencing factor includes all the factors described above, but the type of the influencing factor is not particularly limited, and can be adjusted and selected accordingly according to actual needs.
Specifically, the comprehensive performance evaluation of the energy storage power station system is as follows: determining the weight of the voltage, the temperature, the SOC, the available capacity consistency index of the battery module and the overall SOH influence factor of the energy storage power station system in the comprehensive evaluation index of the energy storage power station system based on an analytic hierarchy process, and calculating the consistency index of the energy storage power station system according to the weight:
1. and establishing a hierarchical structure model. And dividing a decision target (comprehensive performance index of the energy storage power station system), considered influence factors (battery module voltage, temperature, SOC, available capacity consistency index and overall SOH of the energy storage power station system) and decision schemes (different weight division schemes) into a highest layer, an intermediate layer and a lowest layer according to the mutual relation among the decision targets, the considered influence factors and the decision schemes.
2. A pair-wise comparison matrix is constructed. Pairwise comparison matrix a ═ aij]M×MAnd (3) representing the comparison of the relative importance of all factors (various consistency indexes and SOH) of the layer relative to one factor (comprehensive performance index of the energy storage power station system) of the previous layer. Element a of the pairwise comparison matrixijThe comparison result of the ith factor relative to the jth factor is shown, and the meaning represented by different comparison results is shown in the following table 1:
TABLE 1 comparison of importance between two influencing factors 1P, Q
3. Calculating single ordering weight vector and checking consistency
For each pairwise comparison matrix A ═ aij]M×MAnd calculating the maximum characteristic value and the corresponding characteristic vector thereof, and performing consistency check by using the consistency index, the random consistency index and the consistency ratio. If the verification is passed, the feature vector is a weight vector; if not, the comparison matrix needs to be adjusted so that the comparison matrix passes the consistency check.
4. Calculating the total sorting weight vector and performing consistency check
A weight vector for the lowest layer to the top layer total ordering is calculated. The overall ranking consistency ratio is used for checking. If the check is passed, the decision can be made according to the result represented by the total sorting weight vector, otherwise, the comparison matrix needs to be reconstructed.
Based on the finally obtained reasonable pairwise comparison matrix A ═ aij]M×MAnd obtaining consistency indexes of the voltage, the SOC, the available capacity, the temperature and the like of the battery module and the weight of the overall SOH index of the energy storage power station system in the comprehensive performance index. Then using utility functions
And normalizing each subentry index, and finally weighting and summing each subentry index to obtain the comprehensive performance index of the energy storage power station system.
The comprehensive evaluation method of the energy storage power station system provided by the embodiment mainly has the following beneficial effects:
firstly, an analytic hierarchy process is introduced to calculate the weight of each influence factor in the comprehensive evaluation index, so that uncertainty deviation caused by artificial weight factor designation is avoided;
secondly, in the embodiment, the consistency of the voltage, the SOC, the SOH and the like of the battery module is measured by adopting the Euclidean norm of the polar difference sequence, and the consistency of all dimensions of the battery module is analyzed from the angle of fluctuating polar difference;
thirdly, the test data of the energy storage power station system is filtered through the HAMPEL filtering algorithm, abnormal data points caused by fluctuation of the external environment are eliminated, the interference of measurement errors and abnormal data points on results is reduced, and the accuracy of subsequent calculation is improved;
and fourthly, the comprehensive performance of the energy storage power station system is evaluated based on various indexes such as battery SOH, battery module consistency indexes and the like, the performance of the energy storage power station system is evaluated in all aspects in multiple dimensions, and the running state of the energy storage power station system is reflected more truly and comprehensively.
Fig. 2 is a schematic structural diagram of an electronic device according to this embodiment. The electronic device comprises a memory, a processor and a computer program stored on the memory and executable on the processor, and when the processor executes the program, the comprehensive evaluation method of the energy storage power station system in the embodiment is realized. The electronic device 30 shown in fig. 2 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in FIG. 2, electronic device 30 may take the form of a general purpose computing device, which may be a server device, for example. The components of the electronic device 30 may include, but are not limited to: the at least one processor 31, the at least one memory 32, and a bus 33 connecting the various system components (including the memory 32 and the processor 31).
The bus 33 includes a data bus, an address bus, and a control bus.
The memory 32 may include volatile memory, such as Random Access Memory (RAM)321 and/or cache memory 322, and may further include Read Only Memory (ROM) 323.
The processor 31 executes computer programs stored in the memory 32 to perform various functional applications and data processing, such as the comprehensive evaluation method of the energy storage power station system in the above embodiment of the present invention.
The electronic device 30 may also communicate with one or more external devices 34 (e.g., keyboard, pointing device, etc.). Such communication may be through input/output (I/O) interfaces 35. Also, model-generating device 30 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via network adapter 36. As shown in FIG. 2, network adapter 36 communicates with the other modules of model-generating device 30 via bus 33. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the model-generating device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module according to embodiments of the invention. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
The present embodiment also provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps in the comprehensive evaluation method of an energy storage power station system as in the above embodiments.
More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible embodiment, the invention can also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps of a method for the integrated evaluation of an energy storage power station system as in the above embodiment, when the program product is executed on the terminal device.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may execute entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (10)
1. A comprehensive evaluation method of an energy storage power station system is characterized by comprising the following steps:
acquiring charge and discharge related data of the energy storage power station system;
analyzing the consistency state of a battery module of the energy storage power station system based on the charging and discharging related data to obtain the consistency index of each influence factor of the battery module; and
and determining the weight of the consistency index of each influence factor of the battery module in the comprehensive evaluation index of the energy storage power station system to obtain the comprehensive performance index of the energy storage power station system.
2. The comprehensive evaluation method according to claim 1, wherein in the step of obtaining the charge and discharge related data of the energy storage power station system, the charge and discharge related data comprises any one or more of historical charge and discharge data and voltage, current, available capacity, SOC and SOH data of the battery module under the operation condition.
3. The integrated evaluation method according to claim 1, wherein after the step of obtaining the charging and discharging related data of the energy storage power station system, the integrated evaluation method further comprises:
and carrying out data preprocessing on the charge and discharge related data to identify and eliminate data abnormal points.
4. The comprehensive evaluation method according to claim 3, wherein the step of preprocessing the charge and discharge related data comprises:
and carrying out data preprocessing on the charge and discharge related data based on a HAMPEL filtering algorithm.
5. The comprehensive evaluation method according to claim 1, wherein the step of analyzing the consistency state of the battery module of the energy storage power station system based on the charging and discharging related data to obtain the consistency index of each influencing factor of the battery module comprises:
and analyzing the consistency state of the battery module of the energy storage power station system by combining the Euclidean norm of the range sequence based on the charge and discharge related data so as to obtain the consistency index of each influence factor of the battery module.
6. The comprehensive evaluation method according to claim 1, wherein the step of determining the weight of the consistency index of each influencing factor of the battery module in the comprehensive evaluation index of the energy storage power station system to obtain the comprehensive performance index of the energy storage power station system comprises:
and determining the weight of the consistency index of each influence factor of the battery module in the comprehensive evaluation index of the energy storage power station system based on a hierarchical analysis mode so as to obtain the comprehensive performance index of the energy storage power station system.
7. The comprehensive evaluation method according to claim 1, wherein the step of determining the weight of the consistency index of each influencing factor of the battery module in the comprehensive evaluation index of the energy storage power station system to obtain the comprehensive performance index of the energy storage power station system comprises:
and determining the weight of the consistency index of each influence factor of the battery module in the comprehensive evaluation index of the energy storage power station system, and weighting and summing the consistency indexes of each influence factor according to the weight to obtain the comprehensive performance index of the energy storage power station system.
8. The comprehensive evaluation method of claim 7, wherein the influencing factors include any one or more of voltage, current, temperature, available capacity, SOC, and SOH.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the computer program, implements the method for comprehensive evaluation of an energy storage power station system according to any one of claims 1 to 8.
10. A computer-readable medium, on which computer instructions are stored, characterized in that the computer instructions, when executed by a processor, implement a method for the comprehensive evaluation of an energy storage power station system according to any of claims 1 to 8.
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