Energy storage system operation control method and energy storage system

Abstract

The application discloses an energy storage system operation control method and an energy storage system, relates to the technical field of energy storage system management, and obtains energy input data and energy output data in the energy storage system in the recent stage, then analyzes the energy input data and the energy output data, obtains corresponding energy input increase ratios and energy output increase ratios, and then if the value obtained by subtracting the energy input increase ratio from the energy output increase ratio is greater than zero, marks the difference value as an attenuation value, otherwise marks the absolute value of the corresponding difference value as an added value, then obtains a residual storage space value and a residual storage energy value of the corresponding energy storage system, when the attenuation value is generated, automatically divides the residual storage energy value by the attenuation value to obtain a value marked as a quasi-state consumption value, when the added value is generated, automatically divides the residual storage space value by the attenuation value to obtain a value marked as a quasi-state margin, and the above-mentioned method can reasonably analyze and predict the energy storage of the energy storage system, and facilitates better use of the energy storage system.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of energy storage system management, and particularly relates to an energy storage system operation control method and an energy storage system. BACKGROUND

[0002] The patent with the publication number CN114418232A discloses an energy storage system operation optimization method, system, server and storage medium. The method comprises the following steps: acquiring a probability distribution of total load prediction deviation as an uncertain factor input on the load side; acquiring the maximum state of charge and the minimum state of charge allowed by the multi-point distributed energy storage system on the distribution network side and the charge and discharge power constraint as a constraint condition of power output; setting the energy storage system output as two parts of decision output without considering the load uncertainty factor and decision output bearing the load prediction deviation; setting the load prediction deviation bearing coefficient of each energy storage system for the multi-point distributed energy storage system, and the sum of all bearing coefficients is 1; setting the probability constraint of the energy storage system output; setting the objective function of the energy storage system operation optimization as minimizing the peak value of the main grid injection power; obtaining the operation optimization control model of the energy storage system under the probability constraint, performing equivalent transformation and solving to obtain the energy storage system output plan. The application can reduce the impact of the load side uncertainty factor on the main grid.

[0003] However, based on the above-mentioned patent, a stable energy storage system can be provided, but for the energy storage system, how to analyze the energy storage inertia of the energy storage system, determine the service life of the remaining energy storage, or whether the energy storage system needs to increase the energy storage unit, lacks a reasonable technical solution. Based on this, a solution is provided. SUMMARY

[0004] The present application aims to at least solve one of the technical problems existing in the prior art; for this purpose, the present application proposes an energy storage system operation control method and an energy storage system.

[0005] To achieve the above-mentioned purpose, according to the first aspect of the embodiment of the present application, an energy storage system operation control method is provided, which specifically comprises the following steps:

[0006] Step one: obtaining the energy input data and energy output data of the energy storage system in the recent stage;

[0007] Step two: analyzing the energy input data, marking the energy input data as Ni, i=1,...,n, then generating an aggregation signal or an analysis signal according to the mean value P of Ni and the data distribution of Ni, if the aggregation signal is generated, P is automatically marked as the energy input increase ratio, otherwise, the interval value Gi, i=1,...,n-1 is determined according to the difference between the adjacent two Ni; the proportion section is determined according to the difference between the interval value Gi and the values after Gn-1; and the energy input increase ratio is determined according to the proportion section;

[0008] Step three: carry out the outgoing analysis on the outgoing data, the outgoing analysis is consistent with the principle of the incoming analysis, replace the incoming data with the outgoing data, and the increment ratio obtained after the replacement is marked as the outgoing increment ratio;

[0009] Step four: carry out the increment analysis, and the increment analysis is specifically as follows:

[0010] When the outgoing increment ratio is subtracted from the incoming increment ratio, if the value is greater than zero, the difference value is marked as the decay value, otherwise the absolute value of the corresponding difference value is marked as the added value;

[0011] Step five: obtain the residual storage empty value and the residual storage energy value corresponding to the energy storage system, the residual storage empty value is the residual storage energy value that can be increased in the energy storage system, and the residual storage energy value is the residual energy value in the energy storage system;

[0012] When the decay value is generated in step four, the residual storage energy value is automatically divided by the decay value to obtain a value marked as the quasi-state consumption value;

[0013] When the added value is generated in step four, the residual storage empty value is automatically divided by the decay value to obtain a value marked as the quasi-state margin.

[0014] Compared with the prior art, the beneficial effects of the present application are:

[0015] The present application obtains the incoming data and the outgoing data in the energy storage system in the recent stage, then carries out the incoming analysis on the incoming data and the outgoing analysis on the outgoing data, obtains the corresponding incoming increment ratio and outgoing increment ratio, and then if the value obtained by subtracting the incoming increment ratio from the outgoing increment ratio is greater than zero, the difference value is marked as the decay value, otherwise the absolute value of the corresponding difference value is marked as the added value.

[0016] Then, the residual storage empty value and the residual storage energy value corresponding to the energy storage system are obtained, when the decay value is generated, the residual storage energy value is automatically divided by the decay value to obtain a value marked as the quasi-state consumption value, and when the added value is generated, the residual storage empty value is automatically divided by the decay value to obtain a value marked as the quasi-state margin. Through the above method, the energy storage in the energy storage system can be reasonably analyzed and predicted, and the user can use it better. DETAILED DESCRIPTION

[0017] The technical solutions of the present application will be described clearly and completely in combination with the embodiments, obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor belong to the scope of protection of the present application.

[0018] The present application provides a kind of energy storage system operation control method, and the method specifically includes the following steps:

[0019] Step one: obtain the energy input data and energy output data in the recent stage of the energy storage system, the energy input data includes the energy increase value in the energy storage system every day, the energy increase value is the energy value added to the energy storage system every day, the energy can be electric energy or other energy; the recent stage means the stage of three months from the present time;

[0020] The energy output data includes the energy decrease value in the energy storage system every day, that is, the energy value used by the energy storage system every day;

[0021] Step two: analyze the energy input data, the specific way of analysis is:

[0022] S1: obtain all energy input data, mark it as Ni, i=1,...,n, here n represents the total number of days in the recent stage, N1 represents the first day in the recent stage, and the rest follows the same pattern;

[0023] S2: first, obtain the mean value of Ni, mark it as P, then calculate the aggregation degree D of Ni using the formula, the specific calculation formula is:

[0024] In the formula, |*| represents the absolute value of the value in the parentheses;

[0025] When D≤X1, an aggregation signal is generated, otherwise an analysis signal is generated, when the aggregation signal is generated, the corresponding P is automatically marked as the energy input increase ratio; X1 is a preset value;

[0026] S3: when the analysis signal is generated, automatically calculate the interval value of Ni, that is, calculate the difference between adjacent Ni using N i -N i-1 Obtain the difference between all adjacent Ni, i starts from 2 to n, get all interval values Gi, i=1,...,n-1;

[0027] S4: obtain all interval values Gi, then let i=n-1;

[0028] S5: then automatically let i value decrease by one, that is, obtain Gn-1, Gn-2, when the absolute value of Gn-1-Gn-2 is less than or equal to X2, X2 is a preset value, then the selected two Gi values are fused to form the first proportion segment; otherwise, mark Gn-1 as the energy input increase ratio; continue to calculate Gn-2-Gn-3, Gn-3-Gn-4,..., Gn-4-Gn-5, until the calculation is completed to G2-G1, according to the difference, obtain all the composite proportion segments;

[0029] S6: After obtaining the average value of the numerical value in the proportional segment, mark it as the average term value; then let the value of i decrease by one, and similarly obtain the corresponding Gi value, then subtract it from the average term value, if the absolute value of the difference is less than or equal to X2, then the selected corresponding Gi value is also included in the proportional segment; then the average value of the proportional segment is recalibrated as the average term value;

[0030] Here, for example, G3-G2 is a proportional segment, the average value of G3 and G2 is calculated, and the average value is marked as G23, which is the average term value. Then let the value of i decrease by one (i.e. obtain G1, i.e. on the basis of G2, i-1), and similarly obtain the corresponding Gi value (i.e. obtain the value of G1). Subtract it from the average term value (i.e. G1-G23), if the absolute value of the difference (i.e. G1-G23) is less than or equal to X2, then the selected corresponding G1 value is also included in the proportional segment; then the average value of the proportional segment (i.e. the average value of G3, G2, G1) is recalibrated as the average term value;

[0031] If the absolute value of the difference exceeds X2, discard the selected Gi here, and mark the discarded Gi as an estimated interval value; then according to the way of i value decreasing by one in step S6, continuously select the two Gi after the estimated interval value, and both satisfy that the average value of the difference between the selected numerical value Gi and the average term value of the proportional segment is less than or equal to X2, then the previously discarded Gi value is re-included in the corresponding proportional segment, and then the step S6 is repeated;

[0032] If not, discard the estimated interval value and the two Gi after it, and select the average term value of the preceding proportional segment as the input increase ratio;

[0033] S7: After processing, the input increase ratio is obtained;

[0034] Step three: perform output analysis on the output energy data, and the output analysis is specifically as follows:

[0035] A1: Obtain all output energy data, mark it as Kj, j=1,...,m, here m represents the total number of days in the recent stage, K1 represents the earliest day in the recent stage, and then the same is true;

[0036] A2: First, obtain the average value of Kj, mark it as U, then use the formula to calculate the aggregation degree D of Kj, the specific calculation formula is:

[0037] In the formula, |*| represents the absolute value of the numerical value in the parentheses;

[0038] When D≤X1, the aggregation signal is generated, otherwise the analysis signal is generated, and when the aggregation signal is generated, the corresponding U is automatically marked as the output increase ratio; X1 is a preset value;

[0039] A3: In the process of generating analysis signal, automatically perform interval value calculation on Kj, specifically, use K j -K j-1 Get the difference value of all adjacent two Kj, j takes value from 2 to m, get all interval values Gj, j = 1, …, m-1;

[0040] A4: Get all interval values Gj, then let j = m-1;

[0041] A5: Then automatically let j value minus one, when G m-1 -G m-2 Get the absolute value of the number less than or equal to X2, then fuse the selected two Gj values to form the first proportional segment; otherwise, mark Gn-1 as the out-item increase ratio;

[0042] A6: Then get the average value of the proportional segment, mark it as the average item value; let j value minus one, and get the corresponding Gj value, then subtract the average item value, if the absolute value of the difference is less than or equal to X2, then the selected corresponding Gj value is also included in the proportional segment; then re-mark the average value of the proportional segment as the average item value;

[0043] If the absolute value of the difference exceeds X2, discard the selected Gj, mark the discarded as the estimated interval value; then continuously select the two Gj after the estimated interval value according to the way of j value minus one in step A6, and both satisfy that the average of the difference between the selected Gj and the average item value of the proportional segment is less than or equal to X2, then re-include the previously discarded Gj value in the corresponding proportional segment, and then continue to repeat step A6;

[0044] If not, discard the estimated interval value and the two Gj after it, and select the average item value of the previous proportional segment as the out-item increase ratio;

[0045] A7: After processing, get the out-item increase ratio;

[0046] Step four: perform increase and decrease analysis, the specific way of increase and decrease analysis is:

[0047] Get the out-item increase ratio and the in-item increase ratio, when the value of the out-item increase ratio minus the in-item increase ratio is greater than zero, mark the difference as the decay value, otherwise mark the absolute value of the corresponding difference as the added value;

[0048] Step five: get the residual storage empty value and the residual energy value of the corresponding energy storage system, the residual storage empty value is the remaining energy value that can be increased in the corresponding energy storage system, and the residual energy value is the remaining energy value of the corresponding energy storage system;

[0049] When a decay value is generated in step four, automatically divide the residual energy value by the decay value to get the number marked as the quasi-state consumption value;

[0050] When the added value is generated in step four, the remaining storage empty value is automatically divided by the decay value to obtain a numerical value marked as the quasi-state remaining limit;

[0051] When the quasi-state consumption value is generated, the administrator is automatically reminded that the current energy storage system energy storage remaining service life is + quasi-state consumption value, and attention should be paid to the energy remaining of the energy storage system;

[0052] When the quasi-state remaining limit is generated, the administrator is automatically reminded that the current energy storage system full storage life is + quasi-state remaining limit, and attention should be paid to adding energy storage units;

[0053] Of course, the present application also provides an energy storage system for working according to the energy storage system operation control method disclosed above.

[0054] Part of the data in the above formula is calculated by removing the dimension to obtain the numerical value, and the formula is obtained by software simulation of a large amount of collected data to obtain a formula closest to the real situation; The preset parameters and the preset threshold in the formula are set by a person skilled in the art according to the actual situation or obtained by a large amount of data simulation.

[0055] The above examples are only used to illustrate the technical method of the present application and not to limit it. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical method of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present application.

Claims

1. A method for controlling the operation of an energy storage system, characterized in that: The method specifically comprises the following steps: Step 1: Obtain the energy input and output data of the energy storage system in the near-return phase; Step 2: Perform an input item analysis on the input energy data, mark the input energy data as Ni, i=1, ..., n, and then generate an aggregation signal or analysis signal based on the mean P of Ni and the data distribution of Ni. If an aggregation signal is generated, P is automatically marked as the input item increase ratio. Otherwise, all interval values ​​Gi, i=1, ..., n-1 are determined based on the difference between two adjacent Ni; the proportion segment is determined based on the difference between each value of the interval value Gi after Gn-1, and the input item increase ratio is determined based on the proportion segment; the specific method of input item analysis is as follows: S1: Obtain all incoming energy data and mark them as Ni, where i = 1, ..., n, which represents a total of n days in the near-return phase; S2: First, obtain the mean value of Ni and mark it as P. Then use the formula to calculate the polymerization degree D of Ni. The specific calculation formula is: ; In the formula, |*| means to obtain the absolute value of the value in the brackets; When D≤X1, an aggregation signal is generated, otherwise an analysis signal is generated. When an aggregation signal is generated, the corresponding P is automatically marked as the input increase ratio; X1 is a preset value; S3: When the analysis signal is generated, the interval value of Ni is automatically obtained. Specifically, the difference between all two adjacent Ni is obtained using Ni-Ni-1. The value of i starts from 2 to n, and all the interval values ​​Gi are obtained, i=1,...,n-1; S4: Get Gi, Gi-1; S5: When the absolute value of the value obtained by Gi-Gi-1 is less than or equal to X2, the values ​​of Gi and Gi-1 are merged to form the first proportional segment; otherwise, Gi is marked as the input increase ratio, and X2 is the preset value; S6: Then, the mean of the values ​​in the proportional segment is obtained and marked as the mean value; then, the i value is subtracted by one, and the corresponding Gi value is obtained. The difference between the Gi value and the mean value is calculated. If the absolute value of the difference is less than or equal to X2, the selected corresponding Gi value is also included in the proportional segment; then, the mean of the proportional segment is recalibrated as the mean value; If the absolute value of the difference here exceeds X2, the Gi selected here is discarded and marked as the interval value to be estimated; then, according to the method of decrementing the value of i in step S6 by one, two Gi ​​following the interval value to be estimated are selected continuously, and both satisfy that the mean of the difference between the selected value Gi and the mean value of the proportional segment is less than or equal to X2, then the discarded Gi value is re-included in the corresponding proportional segment, and then the step S6 is repeated; If it does not meet the requirement, the interval value to be estimated and the two Gi ​​values ​​after it will be discarded, and the mean value of the aforementioned proportion segment will be selected and marked as the increase ratio of the input term; S7: After the processing is completed, the input increase ratio is obtained; Step 3: Perform output analysis on the output data. The principle of output analysis is the same as that of input analysis. Substitute the input data into the output data to calculate the output increase ratio. Step 4: Conduct increase and decrease analysis. The specific method of increase and decrease analysis is as follows: Obtain the output increase ratio and the input increase ratio. If the value of the output increase ratio minus the input increase ratio is greater than zero, mark the difference as the attenuation value. Otherwise, mark the absolute value of the corresponding difference as the increase value. Step 5: Obtain the remaining storage space value and remaining energy value of the corresponding energy storage system. The remaining storage space value is the remaining energy value that can be increased in the corresponding energy storage system, and the remaining energy value is the remaining energy value of the corresponding energy storage system; When the attenuation value is generated in step 4, the remaining energy value is automatically divided by the attenuation value, and the resulting value is marked as the simulated consumption value; When the added value is generated in step 4, the residual value is automatically divided by the attenuation value, and the resulting value is marked as the mimetic margin.

2. The energy storage system operation control method according to claim 1, characterized in that: The energy input data in step 1 includes the energy value added to the energy storage system every day. The energy value is the energy value added to the corresponding energy storage system every day. The recent stage is the stage three months from now; The energy output data includes the energy output value reduced in the energy storage system every day, that is, the energy value used by the energy storage system every day.

3. The energy storage system operation control method according to claim 1, characterized in that: After completing step 5, you need to perform the following steps: When the simulated consumption value is generated, the administrator is automatically reminded that "the remaining service life of the current energy storage system is + the simulated consumption value, please pay attention to the remaining energy of the energy storage system"; When the mimicry limit is generated, the administrator will be automatically reminded that "the current energy storage system has reached its full limit + the mimicry limit, please pay attention to add energy storage units." 4. An energy storage system, characterized in that: The system is used to implement the control method described in any one of claims 1 to 3.

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