CN117154791B

CN117154791B - Energy storage control method and device

Info

Publication number: CN117154791B
Application number: CN202311095889.1A
Authority: CN
Inventors: 王欢; 吴鹏
Original assignee: Zeus Energy Storage Technology Guangdong Co ltd
Current assignee: Zeus Energy Storage Technology Guangdong Co ltd
Priority date: 2023-08-29
Filing date: 2023-08-29
Publication date: 2024-03-08
Anticipated expiration: 2043-08-29
Also published as: CN117154791A

Abstract

The invention discloses an energy storage control method and a device, wherein the method is used for scheduling equipment terminals of a new energy unit to carry out charge and discharge management, and comprises the following steps: s1, collecting energy storage types of all equipment terminals, and generating corresponding energy storage messages based on energy storage type matching; s2, in response to receiving the charging reminding message, establishing charging association to complete charging management response processing; s3, in response to receiving the discharge reminding message, establishing discharge association to complete discharge management response processing; the invention searches the target power supply end in the first preset range based on the distance, establishes the charging association by judging whether the first state confirmation message is the connectable identifier to complete the charging management response processing, and correspondingly establishes the discharging association to complete the discharging management response processing, thereby timely meeting the charging and discharging requirements of the equipment terminal of the new energy unit and relieving the problems of intermittence and fluctuation of the new energy to the power grid scheduling.

Description

Energy storage control method and device

Technical Field

The present invention relates to the field of battery technologies, and in particular, to an energy storage control method and apparatus.

Background

New energy sources such as wind power, photovoltaic power generation and the like can promote energy conservation and emission reduction. In recent years, as the capacity of new energy units such as a hydroelectric power generation unit and a solar power generation unit increases, the related energy storage problem is caused, for example, the problem that the new energy units are connected in grid mainly includes: intermittent and fluctuating, which faces challenges to safe and stable operation of the power grid and power quality assurance;

therefore, the intelligent, self-adaption and stability of the new energy grid-connected technology are required to be enhanced so as to ensure the smooth access of the new energy and the stable operation of the power grid.

Disclosure of Invention

In order to overcome the defects and shortcomings in the prior art, the invention provides an energy storage control method and device.

In order to achieve the above purpose, the present invention adopts the following technical scheme:

according to one aspect of the present invention, there is provided an energy storage control method for scheduling a device terminal of a new energy unit to perform charge and discharge management, the method including: s1, collecting energy storage types of all equipment terminals, and generating corresponding energy storage messages based on energy storage type matching; s2, in response to receiving the charging reminding message, establishing charging association to complete charging management response processing; s3, in response to receiving the discharge reminding message, establishing discharge association to complete discharge management response processing; the charging reminding message is triggered and generated when the battery SOC is lower than a first preset duty ratio threshold value, and the discharging reminding message is triggered and generated when the battery SOC is higher than a second preset duty ratio threshold value.

Preferably, the step of establishing a charging association to complete the charging management response processing in response to receiving the charging alert message includes: s21, when a charging reminding message sent by a device terminal for identifying a new energy unit is received, a first positioning message of the device terminal is obtained; s22, acquiring a target power supply end cluster with the distance from the equipment terminal in a first preset range based on the first positioning message, and preferentially binding a new energy machine group number corresponding to the equipment terminal with the nearest target power supply end from the equipment terminal; s23, generating a first state confirmation message by combining the energy storage message and the SOC state of the target power supply end; s24, establishing a charging association based on the first state confirmation message;

the step of establishing a discharge association to complete a discharge management response process in response to receiving a discharge alert message includes: s31, when a discharge reminding message sent by a device terminal for identifying the new energy unit is received, a second positioning message of the device terminal is obtained; s32, acquiring a target power utilization end cluster with the distance from the equipment terminal in a second preset range based on the second positioning message, and preferentially binding a new energy machine group number corresponding to the equipment terminal with the target power utilization end closest to the equipment terminal; s33, generating a second state confirmation message by combining the energy storage message and the SOC state of the target power utilization terminal; s34, establishing discharge association based on the second state confirmation message.

Preferably, the step of establishing a charging association based on the first status confirmation message includes: s241, responding to the first state confirmation message as a connectable identifier, and connecting the equipment terminal with the bound target power supply terminal in a charging manner; s242, unbinding and acquiring a target power supply end which is closest to the second from the target power supply end cluster in response to the first state confirmation message being an unconnected mark, and repeating the step S23 and the step S24 until the generated first state confirmation message is a connectable mark; the step of establishing a discharge association based on the second status confirmation message comprises: s341, responding to the second state confirmation message as a connectable identifier, and connecting the equipment terminal with the bound target power utilization terminal in a charging manner; s342, in response to the fact that the second state confirmation message is the unconnected identifier, unbinding and acquiring a target power utilization end which is the second closest to the target power utilization end cluster, and repeating the step S33 and the step S34 until the generated second state confirmation message is the connectable identifier; the connectable identifier is used for identifying and confirming the association state, and the unconnected identifier is used for identifying and refusing the association state.

Preferably, the step of unbinding and obtaining the target power supply end closest to the second target power supply end from the target power supply end cluster in response to the first status confirmation message being the unconnected identifier, repeating the step S23 and the step S24 until the generated first status confirmation message is the connectable identifier, further includes: s2421, when a target power supply end which enables the first state confirmation message to be a connectable identifier does not exist in a target power supply end cluster, sequencing according to the direction from large to small of the maximum power supply amount based on the SOC state of the target power supply end; s2422, the SOC state of each target power supply end is differed from a preset maximum power supply SOC threshold value to obtain a corresponding maximum power supply quantity serving as a member power supply quantity; s2423, sequentially selecting a target power supply end and a device terminal to be bound according to the sequence from the maximum power supply amount to the minimum until the accumulated value of the current member power supply amount is greater than or equal to the charging demand amount, wherein the charging demand amount is extracted from the charging reminding message;

And in response to the second status confirmation message being an unconnected identifier, unbinding and acquiring a target power utilization end closest to the second from the target power utilization end cluster, repeating the step S33 and the step S34 until the generated second status confirmation message is a connectable identifier, and further including: s3421, when the target power utilization end cluster does not exist and the second state confirmation message is the target power utilization end with the connectable identifier, sequencing the maximum receivable electric quantity from large to small based on the SOC state of the target power utilization end; s3422, the SOC state of each target power utilization end is differed from a preset maximum available power SOC threshold value to obtain corresponding maximum receivable electric quantity as member receivable electric quantity; s3423 sequentially selecting target power utilization terminals and binding equipment terminals according to the sequence of the maximum receivable electric quantity from large to small until the accumulated value of the receivable electric quantity of the current member is greater than or equal to the discharge demand, wherein the discharge demand is extracted from the discharge reminding message.

Preferably, the method further comprises: s4, determining the SOC state of the target power supply end or the target power utilization end, wherein the SOC state comprises the following steps: s41, determining an SOC estimation value of the energy storage battery based on the SOC estimation model; s42, acquiring a battery use message; s43, responding to a query request aiming at the battery SOC, acquiring a service type and matching corresponding precision level requirements; s44, judging whether the precision level requirement contains the identification of the precision requirement, if so, establishing a battery aging SOC error model based on the battery use message to determine an aging error correction value, correcting the SOC estimation value based on the aging error correction value to obtain a target SOC output value, and if not, taking the SOC estimation value as the target SOC output value.

Preferably, the step of determining the SOC estimation value for the energy storage battery based on the SOC estimation model specifically includes:

s411, determining a state equation and an observation equation, wherein the state equation and the observation equation of the battery are respectively expressed as follows:

wherein x is _k A state vector x representing the battery at the kth time _k+1 A state vector, u, representing the battery at time k+1 _k Representing the control vector, y, of the battery _k Represents the observed vector of the battery and the observed vector is obtained by measuring the voltage of the battery, w _k And v _k Representing process noise and observation noise, respectively, and matrices A, B and C represent state equations and observations, respectivelyCoefficient matrix in the equation;

s412, initializing an initial SOC value and an initial SOC covariance matrix;

s413, predicting an SOC estimated value at the next moment and an SOC covariance matrix at the next moment based on a prediction equation, wherein the prediction equation is expressed as:

wherein SOC is _k+1 SOC estimation value and SOC at k+1st time _k SOC estimation value representing the kth time, C ₀ Represents the capacity of the battery, Δt represents the time interval between the current time and the next time, I _k Indicating the current at the kth time, I _OCV (SOC _k ,T _k ) Indicating the open circuit current of the battery obtained from the SOC and the temperature;

s414, updating the state and covariance matrix of the battery, wherein an observation equation of the process is expressed as follows:

V _k ＝V _OCV (SOC _k ,T _k )-I _k R _k +v _k

Wherein V is _k Represents the observed voltage at the kth time, V _OCV (SOC _k ,T _k ) Represents the open circuit voltage of the battery obtained from the SOC and the temperature at the kth time, R _k Represents the internal resistance of the battery at the kth time, I _k Indicating the current flowing through the internal resistance at the kth time, v _k An observation noise at the kth time;

s415 combining Kalman gain matrix K _k Updating the state and covariance matrix, namely:

wherein I represents an identity matrix, P _k+1 Covariance matrix of state equation representing k+1 time, P _k Covariance matrix representing state equation at kth time, K _k Representing a Kalman gain matrix;

s416, continuously repeating a prediction process and an updating process, namely repeating the steps S413 to S415, and obtaining the latest SOC estimation value through the prediction equation; in the iteration process, judging whether the iteration times meet the noise statistical condition, wherein the noise statistical condition is that whether the iteration times reach the first preset trigger times or not, and if so, respectively comparing w _k And v _k Counting, and respectively setting two groups of lists, wherein the first group of lists is used for recording w when the difference between the SOC estimated value and the SOC standard value is smaller than the SOC error threshold value _k The second group of lists is used for recording v when the difference between the SOC estimated value and the SOC standard value is smaller than the SOC error threshold value _k The corresponding numerical values are finally obtained by respectively averaging the first group list and the second group list when the accumulated iteration number reaches the second preset trigger number so as to determine constant w _k And v _k Further, the influence of fluctuation due to noise is continuously reduced, and the SOC error threshold value is set to any value of 1% to 4%.

Preferably, the battery aging SOC error model is specifically constructed by the following steps:

s441, acquiring battery model, charge and discharge statistical information, temperature statistical information and capacity statistical information from the battery use message;

s442, finding a pre-stored aging reference relation based on the battery model;

s443, iteration is carried out by taking the condition of each charge and discharge as a group of data through a principal component analysis method to obtain a battery aging SOC error model; wherein the aging reference relationship is used to calculate an aging coefficient for incorporation into the battery aging SOC error model.

Preferably, the charge and discharge statistical information includes charge accumulation times, accumulated total use duration, charge amount, discharge duration and discharge amount; the temperature statistical information comprises the temperature before and after each charging and the temperature before and after each discharging; the capacity statistical information comprises the capacity before and after each charge and the capacity before and after each discharge;

The step of iteratively obtaining the battery aging SOC error model by taking the conditions of each charge and discharge as a group of data and adopting a principal component analysis method specifically comprises the following steps:

s4431, constructing a sample matrix p and an error matrix z of 13 x k, namely:

where k is the accumulated number of charges, p _i,j The method comprises the steps of (1) setting the data of a j sample in an ith row, wherein 13 dimension types respectively correspond to accumulated total use time length, charging amount, discharging time length, discharging amount, pre-charging temperature, post-charging temperature, pre-discharging temperature, post-discharging temperature, pre-charging capacity, post-charging capacity, pre-discharging capacity and post-discharging capacity;

s4432, carrying out standardization treatment on the sample matrix p to obtain a standardized matrix X, namely:

wherein X is _i,j Normalized data for row i and column j, for the mean value of the j-th column element in the standardized matrix X, S _j For standard deviation of the j-th column element of the sample matrix p +.>n corresponds to the number of dimensions and is in particular 13;

s4433, calculating a correlation coefficient matrix R of the standardized sample, namely:

wherein r is _i,j For the correlation coefficient value of the ith row and jth column in the correlation coefficient matrix R, for normalizing the mean value of the ith column element in matrix X,/I>To normalize the mean value of the j-th column element in matrix X, X _k,i Normalized data for the kth row and ith column, X _k,j Normalized data for the kth row and jth column by calculating covariance as a correlation coefficient, r _i,j The correlation coefficient corresponding to the j-th standardized data of the i-th row in the correlation coefficient matrix R;

s4434, calculating eigenvalues and corresponding eigenvectors of a correlation coefficient matrix R, wherein the eigenvalues and the corresponding eigenvectors comprise:

s4434a calculating eigenvalue lambda of correlation coefficient matrix R ₁ ≥λ ₂ ≥…≥λ _k ≥0；

S4434b calculating corresponding eigenvalues u ₁ ,u ₂ ,…,u _j ,…,u _k Wherein u is _j ＝(u _1,j ,u _2,j ,…,u _13,j ) ^T K new index variables are composed of feature vectors:

in which y ₁ Is the 1 st main component, y ₂ Is the 2 nd main component, …, y _k Is the kth principal component;

s4435 calculating the contribution rate of the main component and the accumulated contribution rate, setting a _i As the main component y _i Principal component contribution ratio of (i=1, 2, …, k):

setting the principal component y ₁ ,y ₂ ,…,y _i Cumulative contribution rate of (i=1, 2, …, k):

s4436, performing data dimension reduction processing, namely obtaining the first m main components with the accumulated contribution rate exceeding a preset accumulated contribution threshold value:

m≤k，F _m the m-th principal component is ranked based on the accumulated contribution rate;

s4437 using m principal components as input variables of the model, and adding principal component F having highest contribution rate to the corresponding principal component ₁ Multiplying the aging coefficient by the difference between the SOC estimation value and the SOC standard value, taking the difference as an output variable, further establishing a regression model to determine the coefficient of each main component, judging whether the iteration number of the model reaches the preset number, ending if the iteration number reaches the preset number, otherwise continuing to judge whether the error of the model is lower than the preset evaluation index threshold, determining to obtain a battery aging SOC error model if the error is lower than the preset evaluation index threshold, and otherwise continuing to iterate.

According to another aspect of the present invention, there is provided an energy storage control apparatus for scheduling a device terminal of a new energy unit for charge and discharge management, the energy storage control apparatus including:

the data collection module is used for collecting energy storage types of all equipment terminals and generating corresponding energy storage messages based on energy storage type matching;

the charging management module is used for establishing charging association to complete charging management response processing when receiving the charging reminding message, and specifically comprises the following steps: when a charging reminding message sent by a device terminal of a new energy unit is received, a first positioning message of the device terminal is obtained; acquiring a target power supply end cluster with the distance from the equipment terminal in a first preset range based on the first positioning message, and preferentially binding a new energy machine group number corresponding to the equipment terminal with the nearest target power supply end from the equipment terminal; generating a first state confirmation message by combining the energy storage message and the SOC state of the target power supply end; establishing a charging association based on the first status confirmation message;

the discharge management module is used for establishing discharge association to complete discharge management response processing when receiving the discharge reminding message, and specifically comprises the following steps: when a discharge reminding message sent by a device terminal for identifying a new energy unit is received, a second positioning message of the device terminal is obtained; acquiring a target power utilization end cluster with the distance from the equipment terminal in a second preset range based on the second positioning message, and preferentially binding a new energy machine group number corresponding to the equipment terminal with the target power utilization end closest to the equipment terminal; generating a second state confirmation message by combining the energy storage message and the SOC state of the target power utilization terminal; establishing a discharge association based on the second status confirmation message; the charging reminding message is triggered and generated when the battery SOC is lower than a first preset duty ratio threshold value, and the discharging reminding message is triggered and generated when the battery SOC is higher than a second preset duty ratio threshold value.

According to another aspect of the present invention, there is provided a storage medium for storing a program code for executing the above-described energy storage control method.

Compared with the prior art, the invention has the following advantages and beneficial effects:

(1) The method comprises the steps of searching a target power supply end within a first preset range based on the distance, establishing charging association to complete charging management response processing by judging whether a first state confirmation message is a connectable identifier or not, searching a target power utilization end within a second preset range based on the distance, and further establishing discharging association to complete discharging management response processing by judging whether a second state confirmation message is a connectable identifier or not, so that charging and discharging requirements of equipment terminals of a new energy unit are met in time, the problem of intermittence and volatility brought by new energy to power grid scheduling is alleviated, and the stability and safety of power grid operation are improved.

(2) The combined power supply mode is utilized to timely combine the plurality of target power supply ends to sequentially charge the equipment terminals, and the combined power supply mode is utilized to timely combine the plurality of target power utilization ends to sequentially discharge the equipment terminals, so that the efficiency of scheduling the equipment terminals of the new energy unit to charge and discharge is improved, and meanwhile, the condition of overcharge and overdischarge can be avoided by the terminal equipment or the target power utilization ends participating in the discharging operation through the highest SOC safety threshold and the lowest SOC safety threshold.

(3) The SOC estimation value is determined based on the SOC estimation model, the precision grade requirement is matched according to the service type, and whether the precision grade requirement contains the identification of the precision requirement is further judged, so that a battery aging SOC error model is further established by using battery use information, the aging error correction value is utilized to correct the SOC estimation value to obtain a target SOC output value, the self-adaption degree of the actual service type when the SOC estimation value is calculated is improved, the error is corrected according to the requirement, the accuracy of estimating the battery SOC is improved, the safety of battery management is improved, the overcharge and overdischarge of the battery can be further avoided, and the management and control of each energy storage equipment terminal can be optimized.

(4) In the iterative process of determining the SOC estimation value based on the SOC estimation model, the noise statistical condition is utilized to start the method for w _k And v _k Counting, namely setting two groups of lists respectively to record w when the difference between the SOC estimated value and the SOC standard value is smaller than the SOC error threshold value _k And v _k The corresponding values are finally averaged to further determine w _k And v _k The SOC estimation value is constant, so that the final calculated SOC estimation value is stabilized in a lower error range, the accuracy of the final target SOC output value is improved, a scene requiring to acquire the SOC state value has safer and more reliable data support, the calculation time for continuously and iteratively calculating the SOC estimation value is reduced, and the calculation efficiency is improved.

Drawings

Fig. 1 is a schematic flow chart of an energy storage control method according to an embodiment of the present invention;

FIG. 2 is a schematic diagram illustrating steps for establishing a charge association to complete a charge management response process according to an embodiment of the present invention;

FIG. 3 is a schematic diagram illustrating steps for establishing a charging association based on a first status confirmation message according to an embodiment of the present invention;

FIG. 4 is a schematic diagram illustrating steps of a response process for a first status confirmation message with unconnected identifier according to an embodiment of the present invention;

FIG. 5 is a schematic diagram showing steps for establishing a discharge association to complete a discharge management response process according to an embodiment of the present invention;

FIG. 6 is a schematic diagram illustrating a response process for a second status confirmation message with unconnected identifier according to an embodiment of the present invention;

FIG. 7 is a schematic diagram illustrating steps for determining the SOC of the target power supply terminal or the target power utilization terminal according to an embodiment of the present invention;

FIG. 8 is a schematic diagram illustrating steps for determining an SOC estimation value of an energy storage battery based on an SOC estimation model according to an embodiment of the present invention;

FIG. 9 is a schematic diagram showing steps in a process of constructing a battery aging SOC error model according to an embodiment of the present invention;

fig. 10 is a schematic block diagram of an energy storage control device according to an embodiment of the present invention.

Detailed Description

In the description of the present disclosure, it is to be noted that embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.

The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.

Embodiment one:

fig. 1 is a schematic flow chart of an energy storage control method according to an embodiment of the present invention; the embodiment provides an energy storage control method, which is used for scheduling equipment terminals of a new energy unit to perform charge and discharge management, and comprises the following steps:

s1, collecting energy storage types of all equipment terminals, and generating corresponding energy storage messages based on energy storage type matching;

in the present embodiment, the execution subject is a processing apparatus, and the processing apparatus is specifically a server for data processing and analysis. In practical application, the processing device is further in wireless connection with each equipment terminal to timely acquire a charging reminding message or a discharging reminding message, each equipment terminal is further in electric connection with a micro-grid in an area to which the equipment terminal belongs, each micro-grid is in wireless connection with the processing device, and further charging and discharging management of the equipment terminal and a corresponding target power supply end or a corresponding target power utilization end is completed through the micro-grid, and energy storage types comprise water power, compressed air, a fuel cell, solar energy, wind energy, hydrogen and heat energy, wherein the energy storage types related to a new energy unit are solar energy, wind energy, hydrogen and heat energy, and each equipment terminal can pre-store corresponding energy storage types in itself, namely the equipment terminal is divided into terminal equipment for identifying a new energy unit and terminal equipment for identifying a non-new energy unit. It should be noted that, the energy storage message includes a current electric quantity, a current value of SOC, a highest safety threshold of SOC and a lowest safety threshold of SOC, and because each battery condition is different, the energy storage message is updated for a preset period, or is updated before the charge management response processing and before the discharge management response processing, so as to ensure that the state data related to the battery is up to date during the processing, and avoid overcharging and overdischarging caused by untimely information updating, thereby accelerating the degradation of the battery. In addition, the highest SOC safety threshold and the lowest SOC safety threshold are specifically determined by matching according to the type of the battery and the accumulated total use time, and are obtained from test data of the battery factory when the battery leaves the factory.

S2, in response to receiving the charging reminding message, establishing charging association to complete charging management response processing; fig. 2 is a schematic diagram of steps for establishing a charging association to complete a charging management response process according to an embodiment of the present invention, which specifically includes:

s21, when a charging reminding message sent by a device terminal for identifying a new energy unit is received, a first positioning message of the device terminal is obtained; in this embodiment, the charging alert message is triggered when the SOC of the battery is lower than a first preset duty cycle threshold, for example, the first preset duty cycle threshold may be set to any value from 5% to 20%; the first positioning message includes a GPS signal for positioning the device terminal; when the battery SOC is lower than a first preset duty ratio threshold, the equipment terminal for identifying the new energy unit has an energy storage capacity space, and timely charging response can be realized by sending a charging reminding message.

S22, acquiring a target power supply end cluster with the distance from the equipment terminal in a first preset range based on the first positioning message, and preferentially binding a new energy machine group number corresponding to the equipment terminal with the nearest target power supply end from the equipment terminal;

in this embodiment, the GPS signal of the device terminal is taken as the center and extends outwards to form a first preset range, for example, the device terminal is searched for a target power supply terminal cluster according to a radius of 10 km, and binding is performed with the nearest target power supply terminal as the highest priority. The actual distance is set by a person skilled in the art according to the actual situation, and the specific radius value of the preset range is not limited herein.

S23, generating a first state confirmation message by combining the energy storage message and the SOC state of the target power supply end;

in this embodiment, the maximum chargeable amount is obtained by calculating the current electric quantity, the current SOC value and the highest SOC safety threshold value in the energy storage message, determining the maximum chargeable amount of the target power supply terminal based on the SOC state of the target power supply terminal, determining whether the maximum chargeable amount is less than or equal to the maximum chargeable amount, if yes, setting the generated first state confirmation message as a connectable identifier, otherwise setting the first state confirmation message as unconnectedConnecting a mark; by way of example only, and in an illustrative, the maximum chargeable amount is the maximum chargeable amount of the battery which the equipment terminal can protect so as to avoid battery performance decline caused by overcharging, and the highest SOC safety threshold is specifically set to be the SOC value when the maximum chargeable amount of the battery can be protected. The SOC state includes an SOC highest safety threshold, an SOC lowest safety threshold, an SOC current value, and a total capacity, and for a target power supply terminal, the maximum available power amount=total capacity (SOC current value-SOC lowest safety threshold).

S24, establishing a charging association based on the first state confirmation message; fig. 3 is a schematic diagram of steps for establishing a charging association based on a first status confirmation message according to an embodiment of the present invention, which specifically includes:

S241, responding to the first state confirmation message as a connectable identifier, and connecting the equipment terminal with the bound target power supply terminal in a charging manner; in this embodiment, when the first status confirmation message is determined to be the connectable identifier, it indicates that the charging operation between the device terminal and the target power supply terminal can be completed in one time, that is, the first status confirmation message is used to identify the associated status, so as to ensure the safety and stability of the charging process.

S242, unbinding and acquiring a target power supply end which is closest to the second from the target power supply end cluster in response to the first state confirmation message being an unconnected mark, and repeating the step S23 and the step S24 until the generated first state confirmation message is a connectable mark; in this embodiment, when the first state confirmation message is judged to be the unconnected identifier, it indicates that the charging operation between the equipment terminal and the target power supply terminal cannot be completed in one time, that is, the identifier is used to reject the associated state, in order to ensure the safety and stability of the charging process, the next target power supply terminal at a relatively short distance needs to be continuously traversed from the target power supply terminal cluster, and through continuous traversing and judging, until the charging operation is found to be in line with the target power supply terminal for which the one-time transmission is completed, thereby generating the first state confirmation message with the connectable identifier.

In this embodiment, as shown in fig. 4, which is a schematic step diagram of response processing for the first status confirmation message as the unconnected identifier in the embodiment of the present invention, in response to the first status confirmation message as the unconnected identifier, unbinding and obtaining the target power supply end closest to the second from the target power supply end cluster, repeating step S23 and step S24 until the generated first status confirmation message is the connectable identifier, and further including:

s2421, when a target power supply end which enables the first state confirmation message to be a connectable identifier does not exist in a target power supply end cluster, sequencing according to the direction from large to small of the maximum power supply amount based on the SOC state of the target power supply end;

in this embodiment, if the target power supply terminal cluster cannot be found after traversing the target power supply terminal cluster, the target power supply terminal cluster is ordered from large to small according to the maximum power supply amount, and the charging operation is completed in a least number of combined power supply modes, so that the establishment process of the charging association is completed more efficiently.

S2422, the SOC state of each target power supply end is differed from a preset maximum power supply SOC threshold value to obtain a corresponding maximum power supply quantity serving as a member power supply quantity;

S2423, sequentially selecting corresponding target power supply ends to be bound with the equipment terminals according to the sequence from the maximum power supply amount to the minimum power supply amount until the accumulated value of the current member power supply amount is greater than or equal to the charging demand amount, wherein the charging demand amount is extracted from the charging reminding message; illustratively, C_charge ₁ +C_charge ₂ +…+C_charge _i ≤C_charge _demand Wherein C_charge ₁ The member available power quantity, C_charge, of the 1 st target power supply end ₂ The power supply quantity C_charge of the member of the 2 nd target power supply end _i The member available power quantity, C_charge, of the ith target power supply end _demand Is the charge demand.

In practical application, the device terminals are timely combined with a plurality of target power supply ends in a combined power supply mode to charge the device terminals in sequence, timeliness and safety of the device terminals for dispatching the new energy unit for charging management response processing are improved, the device terminal charging requirement of the new energy unit is met, intermittence and fluctuation generated in power grid dispatching when new energy is connected are slowed down, and meanwhile, the terminal devices or the target power supply ends participating in charging can be enabled to avoid overcharge and overdischarge through the highest SOC safety threshold and the lowest SOC safety threshold.

S3, in response to receiving the discharge reminding message, establishing discharge association to complete discharge management response processing; referring to fig. 5, a schematic diagram of steps for establishing a discharge association to complete a discharge management response process according to an embodiment of the present invention is shown, which specifically includes:

S31, when a discharge reminding message sent by a device terminal for identifying the new energy unit is received, a second positioning message of the device terminal is obtained; in this embodiment, the discharge reminding message is triggered and generated when the battery SOC is higher than the second preset duty cycle threshold. For example, the second preset duty cycle threshold may be set to any value from 90% to 100%; the second positioning message includes a GPS signal for positioning the device terminal, and is described herein to distinguish from the above-described charge management response processing;

s32, acquiring a target power utilization end cluster with the distance from the equipment terminal in a second preset range based on the second positioning message, and preferentially binding a new energy machine group number corresponding to the equipment terminal with the target power utilization end closest to the equipment terminal; in this embodiment, the second preset range is formed by extending the GPS signal of the device terminal outwards, for example, the device terminal is searched for the target power utilization terminal cluster according to a radius of 10 km, and the nearest target power utilization terminal is used as the highest priority for binding. The actual distance is set by a person skilled in the art according to the actual situation, and the specific radius value of the preset range is not limited herein.

S33, generating a second state confirmation message by combining the energy storage message and the SOC state of the target power utilization terminal;

in this embodiment, the maximum dischargeable amount is obtained by calculating the current electric amount, the current SOC value, and the minimum SOC safety threshold in the energy storage message, determining the maximum receivable electric amount of the target electric end based on the SOC state of the target electric end, and determining whether the maximum receivable electric amount is less than or equal to the maximum dischargeable amount, if yes, setting the generated second state confirmation message as the connectable identifier, and if not, setting the second state confirmation message as the unconnected identifier.

By way of example only, and in an illustrative,the maximum dischargeable capacity is the maximum dischargeable capacity of the battery which can be protected by the equipment terminal, so that battery performance degradation caused by overdischarge is avoided, and the minimum SOC safety threshold is specifically set to be an SOC value when the maximum dischargeable capacity of the battery can be protected. The SOC state comprises an SOC highest safety threshold, an SOC lowest safety threshold, an SOC current value and total capacity, and has the following relation to a target electricity utilization end:

maximum receivable capacity = total capacity (SOC maximum safety threshold-SOC current value).

S34, establishing discharge association based on the second state confirmation message; specifically, the method comprises the following steps:

s341, responding to the second state confirmation message as a connectable identifier, and connecting the equipment terminal with the bound target power utilization terminal in a charging manner; in this embodiment, when the second status confirmation message is determined to be the connectable identifier, it indicates that the discharging operation between the device terminal and the target power end can be completed in one time, that is, the second status confirmation message is used to identify the associated status, so as to ensure the safety and stability of the discharging process.

S342, in response to the fact that the second state confirmation message is the unconnected identifier, unbinding and acquiring a target power utilization end which is the second closest to the target power utilization end cluster, and repeating the step S33 and the step S34 until the generated second state confirmation message is the connectable identifier; in this embodiment, when the second state confirmation message is judged to be the unconnected identifier, it indicates that the discharging operation between the equipment terminal and the target power utilization terminal cannot be completed in one time, that is, the identifier is used for rejecting the association state, in order to ensure the safety and stability of the discharging process, the next target power utilization terminal with a relatively short distance needs to be continuously traversed from the target power utilization terminal cluster, and through continuous traversing and judging, until the discharging operation is found to be in line with the target power utilization terminal with the one-time completed transmission, thereby generating the second state confirmation message with the connectable identifier. In this embodiment, as shown in fig. 6, which is a schematic step diagram of response processing for the second status confirmation message as the unconnected identifier in the embodiment of the present invention, in response to the second status confirmation message as the unconnected identifier, unbinding and obtaining the target power end closest to the second from the target power end cluster, repeating step S33 and step S34 until the generated second status confirmation message is the connectable identifier, and further including:

S3421, when the target power utilization end cluster does not exist and the second state confirmation message is the target power utilization end with the connectable identifier, sequencing the maximum receivable electric quantity from large to small based on the SOC state of the target power utilization end;

in this embodiment, if the target power utilization terminal cluster cannot be found after traversing the target power utilization terminal cluster, the target power utilization terminal cluster is sorted from large to small according to the maximum receivable electric quantity, and the discharge operation is completed in a mode of least number of combined power utilization, so that the establishment process of discharge association is completed more efficiently.

S3422, the SOC state of each target power utilization end is differed from a preset maximum available power SOC threshold value to obtain corresponding maximum receivable electric quantity as member receivable electric quantity;

s3423 sequentially selecting corresponding target power utilization terminals and binding the equipment terminals according to the sequence of the maximum receivable electric quantity from large to small until the accumulated value of the receivable electric quantity of the current member is greater than or equal to the discharge demand, wherein the discharge demand is extracted from the discharge reminding message. Illustratively, C_discharge ₁ +C_discharge ₂ +…+C_discharge _i ≤C_discharge _demand Wherein C_discharge ₁ C_discharge for receiving electric quantity for member of 1 st target electric end ₂ C_discharge for receiving electric quantity for member of 2 nd target electric end _i The member of the ith target electricity consumption end can receive electricity quantity, V_discharge _demand Is the discharge demand.

In practical application, each target electricity end is connected with the micro-grid of the area, and the plurality of target electricity ends are combined in time to perform discharge work on the equipment terminals in sequence through the combined electricity utilization mode, so that timeliness and safety of the equipment terminals for scheduling the new energy unit for discharge management response processing are improved, the equipment terminal discharge requirement of the new energy unit is met, intermittence and fluctuation generated during grid scheduling when the new energy unit is connected are slowed down, and meanwhile, the situation of overcharge and overdischarge of each terminal equipment or target electricity end participating in the discharge work can be avoided through the highest SOC safety threshold and the lowest SOC safety threshold.

Embodiment two:

the present embodiment provides an energy storage control method that improves estimation of SOC states on the basis of the first embodiment. Referring to fig. 7, a schematic step of determining an SOC state of a target power supply terminal or a target power utilization terminal according to an embodiment of the present invention is shown, where the method further includes:

s4, determining the SOC state of the target power supply end or the target power utilization end; in this embodiment, the SOC state of the target power supply terminal or the target power use terminal is determined, and is mainly used to provide an accurate SOC estimation value in the charge management response processing and the discharge management response processing. Specifically, the method comprises the following steps:

S41, determining an SOC estimation value of the energy storage battery based on the SOC estimation model; fig. 8 is a schematic diagram of steps for determining an SOC estimation value of an energy storage battery based on an SOC estimation model according to an embodiment of the present invention, which specifically includes:

wherein x is _k A state vector x representing the battery at the kth time _k+1 A state vector, u, representing the battery at time k+1 _k Representing the control vector, y, of the battery _k Represents the observed vector of the battery and the observed vector is obtained by measuring the voltage of the battery, w _k And v _k The process noise and the observation noise at the kth time are represented, respectively. Matrices A, B and C represent coefficient matrices in the state equation and the observation equation, respectively;

s412, initializing an initial SOC value and an initial SOC covariance matrix; in practical application, in order to ensure that the estimated SOC value is within a reasonable range, the initial SOC value is set to the rated capacity of the battery, for example, the rated capacity of the battery is 100Ah, and the initial SOC may be set to 100Ah. In SOC estimation, the initial state may be generally obtained by an open circuit voltage method, and the initial SOC covariance matrix may be set to a larger value to indicate a larger uncertainty for the initial state.

S413, predicting an SOC estimated value at the next moment and an SOC covariance matrix at the next moment based on a prediction equation, wherein the prediction equation is expressed as follows:

wherein SOC is _k+1 SOC estimation value and SOC at k+1st time _k SOC estimation value representing the kth time, C ₀ Represents the capacity of the battery, Δt represents the time interval between the current time and the next time, I _k Indicating the current at the kth time, I _OCV (SOC _k ,T _k ) Indicating the open circuit current of the battery obtained from the SOC and the temperature; in practical application, the state of the battery and the covariance matrix at the next moment are predicted according to the state equation and the control quantity of the battery in prediction, wherein the state vector of the battery comprises parameters such as SOC and internal resistance, the control vector generally comprises current, temperature and the like, and the parameters such as internal resistance in the prediction equation can be obtained through experimental measurement such as electrochemical impedance spectrum and the like.

V _k ＝V _OCV (SOC _k ,T _k )-I _k R _k +v _k

s416, continuously repeating the prediction process and the updating process, namely repeating the steps S413 to S415, and obtaining the latest SOC estimation value through a prediction equation. In practical application, SOC estimation is a dynamic process, and the steps of prediction and updating are required to be repeated continuously to obtain a more accurate SOC estimation value. In order to improve accuracy of calculating the SOC estimation value by the SOC estimation model, in the iteration process, whether the iteration number meets a noise statistics condition is determined, wherein the noise statistics condition is whether the iteration number reaches a first preset trigger number, and if so, the method comprises the steps of respectively comparing w with the following steps of _k And v _k Counting, and respectively setting two groups of lists, wherein the first group of lists is used for recording w when the difference between the SOC estimated value and the SOC standard value is smaller than the SOC error threshold value _k The second group of lists is used for recording v when the difference between the SOC estimated value and the SOC standard value is smaller than the SOC error threshold value _k The corresponding numerical values are finally averaged respectively for the first group list and the second group list when the accumulated iteration number reaches the second preset trigger number so as to determine w as constant _k And v _k Further, the influence of fluctuation generated by noise is continuously reduced, interference caused by noise after convergence is avoided, and the SOC error threshold can be set to be 1% to 1% according to actual conditionsAny value in 4%, which can be set by a person skilled in the art according to the actual accuracy requirement, is not specifically limited herein, and the SOC standard value is obtained by averaging SOC estimation values obtained by an ampere-hour integration method and an open-circuit voltage method, respectively. In practical application, the noise statistics condition is met, and the average value is taken to further determine w _k And v _k The SOC estimation value is constant, so that random fluctuation influence caused by continuous fluctuation of the noise after the noise statistics condition is met is avoided, and the final calculated SOC estimation value is stabilized in a low error range.

Further, whether convergence exists or not can be judged by judging whether the difference value between the SOC estimation value and the SOC standard value is smaller than the SOC error threshold value or not in iteration, the iteration error value is the difference value between the SOC estimation value and the SOC standard value, and when the iteration times reach the preset times and the iteration error value is still larger than twice of the SOC error threshold value in the iteration process, the Kalman gain matrix K is adjusted according to the change condition of the iteration error value _k Weights of (2);

in this embodiment, the kalman gain matrix K is adjusted according to the change of the iteration error value _k The weight of (2) specifically includes:

when the iteration times in the iteration process reach the preset times and the iteration error value is still more than twice of the SOC error threshold value, the Kalman gain matrix K is based on the preset period times _k Increasing or decreasing according to a preset adjustment multiple;

judging whether the average value of the iteration error values becomes larger or not in the preset period times, and if so, modifying and adjusting the increasing or decreasing direction; if the number of the iteration error values is smaller than the SOC error threshold value, counting the number of times when the iteration error values are smaller than the SOC error threshold value in the preset period number of times, and taking the number of times as convergence; if the ratio of the convergence times to the preset period times exceeds 50%, the Kalman gain matrix K at the moment is reserved _k If the number of the Kalman gain matrix is not more than 50%, continuing to perform Kalman gain matrix K _k And adjusting according to a preset adjustment multiple.

In practical application, the preset adjustment multiple can be set to any value of 5% -50%, for example, 10%, if the adjustment multiple is increased, the adjusted Kalman gain matrix is obtainedK _k The elements of (a) are 110% of the original value, and the Kalman gain matrix K is correspondingly adjusted if the elements are reduced _k Each element of (2) is 90% of the original value; and then determining the adjustment direction of the detected Kalman gain matrix by setting the preset cycle times, wherein the preset cycle times are the times of iteration of a preset cycle, such as 20, 30, 100 or the like, and the convergence rate of the SOC estimation model is improved by optimizing the setting direction of the Kalman gain matrix within the preset cycle times in time and the accuracy of the SOC estimation value result is improved by adjusting the Kalman gain matrix in time.

S42, acquiring a battery use message; in the present embodiment, the battery usage message includes a battery model number, charge-discharge statistics, temperature statistics, and capacity statistics. In practical application, the battery usage information is obtained by collecting and counting through a battery management system monitoring the corresponding equipment terminal.

S43, responding to a query request aiming at the battery SOC, acquiring a service type and matching corresponding precision level requirements;

in this embodiment, the service types include an energy storage scheduling type, an electricity price optimization control type, a standby capacity control type, a frequency adjustment type, a capacity market type and a new energy storage type, and in actual application, the accuracy class requirement is configured for each service type in advance. The energy storage scheduling type, the electricity price optimizing control type, the standby capacity control type and the frequency adjusting type have relatively high requirements on the accuracy of the SOC, so that the high accuracy level requirements are correspondingly configured, namely, the identification of the accuracy requirements is contained; the requirements of the capacity market type and the new energy storage type on the accuracy of the SOC are relatively low, and the low accuracy level requirements are correspondingly configured, namely, the identification of the accuracy requirements is not contained.

S44, judging whether the precision level requirement contains the identification of the precision requirement, if so, establishing a battery aging SOC error model based on a battery use message to determine an aging error correction value, correcting the SOC estimation value based on the aging error correction value to obtain a target SOC output value, and if not, taking the SOC estimation value as the target SOC output value.

FIG. 9 is a schematic diagram showing steps in a process of constructing a battery aging SOC error model according to an embodiment of the present invention; in this embodiment, the battery aging SOC error model is specifically constructed by:

s441, acquiring battery model, charge and discharge statistical information, temperature statistical information and capacity statistical information from a battery use message; in this embodiment, the charge-discharge statistical information includes the charge accumulation number, the accumulated total usage period, the charge amount, the discharge period, and the discharge amount; the temperature statistical information comprises the temperature before and after each charge and the temperature before and after each discharge; the capacity statistics information comprises the capacity before and after each charge and the capacity before and after each discharge;

s442, finding a pre-stored aging reference relation based on the battery model;

in this embodiment, the aging reference relationship is obtained by performing polynomial fitting according to a plurality of groups of collected battery usage messages, and the aging reference relationship is obtained by establishing a correlation model of a specified battery model, an accumulated total usage time length, a charging accumulated number and an aging coefficient, so that the aging coefficient can be determined according to the currently acquired battery usage information, and the actual capacity of the battery is prevented from being additionally measured during operation; specifically, the aging reference relationship is constructed during fitting:

Wherein ε is ₀ For the initial standard capacity corresponding to the specified battery model, T is the accumulated total use duration epsilon _T To perform a charge and discharge test according to the accumulated total usage time to obtain a battery capacity,for the ageing coefficient determined from the cumulative total time of use, count is the cumulative number of charges, α, β, γ, δ and +.>All serve asCoefficient parameter, 0<α<1，0<β，0<γ，0<δ，/>As a gaussian function which is a coefficient term and which is used to represent the cumulative number of charges count, it is desirable that the standard deviation σ be 1. Also, ε _T And epsilon ₀ For obtaining from the corresponding battery manufacturer pre-stored test data of battery delivery, and epsilon _T Is inversely related to the total time length T of use, each total time length T of use corresponds to a battery capacity epsilon _T 。

In actual application, the alpha, beta, gamma and delta are determined through continuous iteration of a plurality of groups of collected battery usage messages, and when the difference value of the left formula and the right formula is continuously smaller than the error threshold value of the preset aging coefficient in preset times in iteration, the iteration is completed, so that the aging reference relation of the final application is obtained:

where Γ is the resulting value of the aging coefficient estimated based on the aging reference relationship. It should be appreciated that the person skilled in the art may set the preset number of times and the preset aging coefficient error threshold value according to the actual situation to end the iterative process, which is not limited herein.

S443, iteration is carried out by taking the condition of each charge and discharge as a group of data through a principal component analysis method to obtain a battery aging SOC error model; wherein the aging reference relationship is used to calculate an aging coefficient for incorporation into the battery aging SOC error model. In this embodiment, the step of iteratively obtaining the battery aging SOC error model by using each charge and discharge condition as a set of data and by using a principal component analysis method specifically includes:

s4431, constructing a sample matrix p and an error matrix z of 13 x k, namely:

where k is the accumulated number of charges, p _i,j The method comprises the steps of (1) taking the i line as the first sample data, wherein 13 dimension types respectively correspond to accumulated total use time length, charging amount, discharging time length, discharging amount, pre-charging temperature, post-charging temperature, pre-discharging temperature, post-discharging temperature, pre-charging capacity, post-charging capacity, pre-discharging capacity and post-discharging capacity; it should be noted that, in the data of 13 dimension types, the accumulated number of charging is taken as the sequence number, and after the specified sequence number is determined, the data corresponding to the specified sequence number can be extracted according to the specified sequence number.

Wherein X is _i,l Data is normalized for row i and column i, for the mean value of the j-th column element in the standardized matrix X, S _j For standard deviation of the j-th column element of the sample matrix p +.>n corresponds to the number of dimensions and is in particular 13;

m≤k，F _m the m-th principal component is ranked based on the accumulated contribution rate; in practical application, the preset cumulative contribution threshold may be set to any value from 70% to 90%, for example, when 70% is adopted, 4 main components subjected to data dimension reduction processing are finally obtained, for example, when 80% is adopted, 4 main components subjected to data dimension reduction processing are finally obtained, for example, when 85% is adopted, 5 main components subjected to data dimension reduction processing are finally obtained, for example, when 90% is adopted, 6 main components subjected to data dimension reduction processing are finally obtained, which can be selected by those skilled in the art according to practical situations, and the embodiment is not limited herein.

S4437 using m principal components as input variables of the model, and adding principal component F having highest contribution rate to the corresponding principal component ₁ Multiplying the aging coefficient, taking the difference between the SOC estimation value and the SOC standard value as an output variable, further establishing a regression model to determine the coefficient of each main component, judging whether the iteration number of the model reaches the preset number, ending if the iteration number reaches the preset number, otherwise continuing to judge whether the error of the model is lower than a preset evaluation index threshold, determining to obtain a battery aging SOC error model if the error is lower than the preset evaluation index threshold, and otherwise continuing to iterate; in practical application, the regression model is expressed as:

SOC _ref -SOC ₀ ＝a ₁ *C*F ₁ +a ₂ *F ₂ …+a _m *F _m

Wherein SOC is _ref -SOC ₀ Representing the iteration error value, SOC _ref Representing the SOC standard value, SOC ₀ Represented by SSOC estimation value obtained by OC estimation model, C represents aging coefficient, F ₁ Representing the principal component with the contribution rate of the principal component ordered as 1. The subscript order of F sequentially corresponds to the order of the contribution rates of the principal components from big to small, F _m Representing the m-th principal component of the principal component contribution rate ranking, a ₁ To a _m The regression coefficients are respectively corresponding regression coefficients, and are finally determined after iteration. For example, in this embodiment, a is when m is 4 ₁ Less than 0, a ₂ To a ₄ Are all greater than 0; when m is 5, a ₁ And a ₅ Are all smaller than 0, a ₂ To a ₄ Are all greater than 0; when m is 3, a ₁ And a ₅ Are all smaller than 0, a ₂ To a ₄ Are all greater than 0, a ₆ Above 0, the present embodiment is not particularly limited herein.

After the iteration is completed, a ₁ To a _m All the determination is that the model for SOC output by combining the regression model is expressed as:

SOC _out ＝SOC ₀ +a ₁ *C*F ₁ +a ₂ *F ₂ …+a _m *F _m

wherein SOC is _out Representing the target SOC output value. In this embodiment, the SOC standard value is obtained by averaging SOC estimation values obtained by using an ampere-hour integration method and an open-circuit voltage method, a regression model may be a model of a linear regression, a ridge regression or Lasso regression type, and the preset evaluation index threshold may be any combination of a root mean square error, an average absolute error and an R-squared as an evaluation type to evaluate the performance of the model. It should be further noted that, because the conventional ampere-hour integration method and the open-circuit voltage method are used independently, a larger error still exists, and the average value is taken as the SOC standard value in combination with the ampere-hour integration method and the open-circuit voltage method, so that the SOC standard value is closer to the actual SOC true value, and the accuracy of the battery aging SOC error model is improved. In practical application, the multidimensional data is subjected to dimension reduction by using a principal component analysis method, and the aging error correction value of the battery aging SOC error model is enabled to have higher accuracy by integrating the aging coefficient, and further, the aging error correction value can be acquired more accurately when the battery aging SOC error model is applied by continuous iteration, so that The accuracy of the final target SOC output value is improved.

Embodiment III:

fig. 10 is a schematic block diagram of an energy storage control device according to an embodiment of the present invention, where the embodiment provides an energy storage control device for scheduling a device terminal of a new energy unit to perform charge and discharge management, and the energy storage control device corresponds to the method provided in the foregoing embodiment. The energy storage control device includes: the data collection module is used for collecting energy storage types of all equipment terminals and generating corresponding energy storage messages based on energy storage type matching;

Embodiment four:

the present embodiment provides a storage medium for storing a program code for executing the above-described energy storage control method.

The above examples are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above examples, and any other changes, modifications, substitutions, combinations, and simplifications that do not depart from the spirit and principle of the present invention should be made in the equivalent manner, and the embodiments are included in the protection scope of the present invention.

Claims

1. The energy storage control method is characterized in that the method is used for scheduling equipment terminals of a new energy unit to carry out charge and discharge management, and comprises the following steps:

s2, in response to receiving the charging reminding message, establishing charging association to complete charging management response processing;

s3, in response to receiving the discharge reminding message, establishing discharge association to complete discharge management response processing;

the charging reminding message is triggered and generated when the battery SOC is lower than a first preset duty ratio threshold value, and the discharging reminding message is triggered and generated when the battery SOC is higher than a second preset duty ratio threshold value;

the step of establishing a charging association to complete a charging management response process in response to receiving the charging alert message includes:

s21, when a charging reminding message sent by a device terminal for identifying a new energy unit is received, a first positioning message of the device terminal is obtained;

s24, establishing a charging association based on the first state confirmation message;

the step of establishing a discharge association to complete a discharge management response process in response to receiving a discharge alert message includes:

s31, when a discharge reminding message sent by a device terminal for identifying the new energy unit is received, a second positioning message of the device terminal is obtained;

s32, acquiring a target power utilization end cluster with the distance from the equipment terminal in a second preset range based on the second positioning message, and preferentially binding a new energy machine group number corresponding to the equipment terminal with the target power utilization end closest to the equipment terminal;

s34, establishing discharge association based on the second state confirmation message.

2. The method of claim 1, wherein the step of establishing a charging association based on the first status confirmation message comprises:

s241, responding to the first state confirmation message as a connectable identifier, and connecting the equipment terminal with the bound target power supply terminal in a charging manner;

S242, unbinding and acquiring a target power supply end which is closest to the second from the target power supply end cluster in response to the first state confirmation message being an unconnected mark, and repeating the step S23 and the step S24 until the generated first state confirmation message is a connectable mark;

the step of establishing a discharge association based on the second status confirmation message comprises:

s341, responding to the second state confirmation message as a connectable identifier, and connecting the equipment terminal with the bound target power utilization terminal in a charging manner;

s342, in response to the fact that the second state confirmation message is the unconnected identifier, unbinding and acquiring a target power utilization end which is the second closest to the target power utilization end cluster, and repeating the step S33 and the step S34 until the generated second state confirmation message is the connectable identifier;

the connectable identifier is used for identifying and confirming the association state, and the unconnected identifier is used for identifying and refusing the association state.

3. The method of claim 2, wherein the steps of unbinding and acquiring the target power supply terminal closest to the second target power supply terminal from the target power supply terminal cluster in response to the first status confirmation message being the unconnected identifier, repeating the steps S23 and S24 until the generated first status confirmation message is the connectable identifier, further comprises:

s2423, sequentially selecting corresponding target power supply ends to be bound with the equipment terminals according to the sequence from the maximum power supply quantity to the minimum power supply quantity until the accumulated value of the current member power supply quantity is greater than or equal to the charging demand quantity, wherein the charging demand quantity is extracted from the charging reminding message;

and in response to the second status confirmation message being an unconnected identifier, unbinding and acquiring a target power utilization end closest to the second from the target power utilization end cluster, repeating the step S33 and the step S34 until the generated second status confirmation message is a connectable identifier, and further including:

s3423 sequentially selecting corresponding target power utilization terminals and binding the equipment terminals according to the sequence of the maximum receivable electric quantity from large to small until the accumulated value of the receivable electric quantity of the current member is greater than or equal to the discharge demand, wherein the discharge demand is extracted from the discharge reminding message.

4. A method as recited in claim 3, further comprising:

s4, determining the SOC state of the target power supply end or the target power utilization end, wherein the SOC state comprises the following steps:

s41, determining an SOC estimation value of the energy storage battery based on the SOC estimation model;

s42, acquiring a battery use message;

s44, judging whether the precision level requirement contains the identification of the precision requirement, if so, establishing a battery aging SOC error model based on the battery use message to determine an aging error correction value, correcting the SOC estimation value based on the aging error correction value to obtain a target SOC output value, and if not, taking the SOC estimation value as the target SOC output value.

5. The method of claim 4, wherein the step of determining the SOC estimate for the energy storage battery based on the SOC estimation model, specifically comprises:

wherein x is _k A state vector x representing the battery at the kth time _k+1 A state vector, u, representing the battery at time k+1 _k Representing the control vector, y, of the battery _k Representing the observation vector of the battery and the observation vector passing through the electricityCell voltage measurement, w _k And v _k Respectively representing process noise and observation noise, and matrices A, B and C respectively represent coefficient matrices in the state equation and the observation equation;

s412, initializing an initial SOC value and an initial SOC covariance matrix;

wherein SOC is _k+1 SOC estimation value and SOC at k+1st time _k SOC estimation value representing the kth time, C ₀ Represents the capacity of the battery, Δt represents the time interval between the current time and the next time, I _k Indicating the current at the kth time, I _OCV (SOC _k ，T _k ) Indicating the open circuit current of the battery obtained from the SOC and the temperature;

V _k ＝V _OCV (SOC _k ，T _k )-I _k R _k +v _k

wherein V is _k Represents the observed voltage at the kth time, V _OCV (SOC _k ，T _k ) Represents the open circuit voltage of the battery obtained from the SOC and the temperature at the kth time, R _k Represents the internal resistance of the battery at the kth time, I _k Indicating the current flowing through the internal resistance at the kth time, v _k An observation noise at the kth time;

wherein I represents an identity matrix, P _k+1 Covariance representing state equation at k+1 timeMatrix, P _k Covariance matrix representing state equation at kth time, K _k Representing a Kalman gain matrix;

s416, continuously repeating a prediction process and an updating process, namely repeating the steps S413 to S415, and obtaining the latest SOC estimation value through the prediction equation;

in the iteration process, judging whether the iteration times meet the noise statistical condition, wherein the noise statistical condition is that whether the iteration times reach the first preset trigger times or not, and if so, respectively comparing w _k And v _k Counting, and respectively setting two groups of lists, wherein the first group of lists is used for recording w when the difference between the SOC estimated value and the SOC standard value is smaller than the SOC error threshold value _k The second group of lists is used for recording v when the difference between the SOC estimated value and the SOC standard value is smaller than the SOC error threshold value _k The corresponding numerical values are finally obtained by respectively averaging the first group list and the second group list when the accumulated iteration number reaches the second preset trigger number so as to determine constant w _k And v _k Further, the influence of fluctuation due to noise is continuously reduced, and the SOC error threshold value is set to any value of 1% to 4%.

6. The method of claim 4, wherein the battery aging SOC error model is constructed in particular by:

s442, finding a pre-stored aging reference relation based on the battery model;

s443, iteration is carried out by taking the condition of each charge and discharge as a group of data through a principal component analysis method to obtain a battery aging SOC error model;

wherein the aging reference relationship is used to calculate an aging coefficient for incorporation into the battery aging SOC error model.

7. The method of claim 6, wherein the charge-discharge statistics include a charge accumulation number, an accumulated total usage period, a charge amount, a discharge period, and a discharge amount;

The temperature statistical information comprises the temperature before and after each charging and the temperature before and after each discharging;

the capacity statistical information comprises the capacity before and after each charge and the capacity before and after each discharge;

s4431, constructing a sample matrix p and an error matrix z of 13 x k, namely:

where k is the accumulated number of charges, p _i，j The method comprises the steps of (1) setting the data of a j sample in an ith row, wherein 13 dimension types respectively correspond to accumulated total use time length, charging amount, discharging time length, discharging amount, pre-charging temperature, post-charging temperature, pre-discharging temperature, post-discharging temperature, pre-charging capacity, post-charging capacity, pre-discharging capacity and post-discharging capacity;

wherein X is _i，j Normalized data for row i and column j, for the mean value of the j-th column element in the standardized matrix X, S _j For standard deviation of the j-th column element of the sample matrix p +.>n corresponds to the number of dimensions and is in particular 13;

Wherein r is _i，j For the correlation coefficient value of the ith row and jth column in the correlation coefficient matrix R, for normalizing the mean value of the ith column element in matrix X,/I>To normalize the mean value of the j-th column element in matrix X, X _k，i Normalized data for the kth row and ith column, X _k，j Normalized data for the kth row and jth column by calculating covariance as a correlation coefficient, r _i，j The correlation coefficient corresponding to the j-th standardized data of the i-th row in the correlation coefficient matrix R;

S4434b calculating corresponding eigenvalues u ₁ ，u ₂ ，…，u _j ，…，u _k Wherein u is _j ＝(u _1，j ，u _2，j ，…，u _13，j ) ^T K new index variables are composed of feature vectors:

s4435 calculating the contribution rate of the main component and the accumulated contribution rate, setting a _i As the main component y _i Principal component contribution ratio of (i=1, 2,., k):

setting the principal component y ₁ ，y ₂ ，...，y _i (i=1, 2,., k):

8. An energy storage control device, characterized in that, a device terminal for scheduling new energy unit carries out charge-discharge management, the energy storage control device includes:

the charging management module is used for establishing charging association to complete charging management response processing when receiving the charging reminding message, and specifically comprises the following steps:

when a charging reminding message sent by a device terminal of a new energy unit is received, a first positioning message of the device terminal is obtained;

acquiring a target power supply end cluster with the distance from the equipment terminal in a first preset range based on the first positioning message, and preferentially binding a new energy machine group number corresponding to the equipment terminal with the nearest target power supply end from the equipment terminal;

Generating a first state confirmation message by combining the energy storage message and the SOC state of the target power supply end;

establishing a charging association based on the first status confirmation message;

the discharge management module is used for establishing discharge association to complete discharge management response processing when receiving the discharge reminding message, and specifically comprises the following steps:

when a discharge reminding message sent by a device terminal for identifying a new energy unit is received, a second positioning message of the device terminal is obtained;

acquiring a target power utilization end cluster with the distance from the equipment terminal in a second preset range based on the second positioning message, and preferentially binding a new energy machine group number corresponding to the equipment terminal with the target power utilization end closest to the equipment terminal;

generating a second state confirmation message by combining the energy storage message and the SOC state of the target power utilization terminal;

establishing a discharge association based on the second status confirmation message;

the charging reminding message is triggered and generated when the battery SOC is lower than a first preset duty ratio threshold value, and the discharging reminding message is triggered and generated when the battery SOC is higher than a second preset duty ratio threshold value.

9. A storage medium for storing program code for performing the energy storage control method according to any one of claims 1-7.