Photovoltaic energy storage charging management and control method and system

Abstract

The invention discloses a photovoltaic energy storage charging management and control method and system, and belongs to the technical field of photovoltaic energy storage management and control. The method is used for solving the technical problems of poor multi-dimensional supervision analysis effect and poor autonomous optimization management effect of photovoltaic energy storage charging in the aspect of redundancy design in an existing scheme. Periodic multi-dimensional local photovoltaic energy storage stage charging supervision and processing analysis are carried out on a daily redundancy state combination sequence obtained through target photovoltaic energy storage daily supervision processing; performing periodic overall photovoltaic energy storage stage charging supervision and processing analysis on a daily redundancy state combination sequence obtained by target photovoltaic energy storage daily supervision processing, and performing simultaneous analysis on stage photovoltaic energy storage supervision results in different aspects in the early stage; and determining whether the existing photovoltaic energy storage charging redundancy design corresponding to the target photovoltaic energy storage meets the actual operation requirement or not, and dynamically controlling the photovoltaic energy storage charging in a self-adaptive manner according to the analysis result.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic energy storage control, and in particular to a photovoltaic energy storage charging control method and system. Background Art

[0002] Photovoltaic energy storage charging management and control refers to the process of optimizing the generation, storage and use of electric energy by combining photovoltaic power generation systems with energy storage systems through intelligent management systems. It aims to improve energy utilization efficiency, reduce dependence on the power grid, and achieve energy self-sufficiency to a certain extent.

[0003] When implementing existing photovoltaic energy storage charging management and control solutions, most of them only stay at the single aspect of power generation data monitoring and charging data monitoring in terms of redundant design. They cannot actively supervise and analyze the redundant status of photovoltaic energy storage charging according to the designed redundancy, and adaptively dynamically optimize the redundant design of photovoltaic energy storage charging solutions based on the analysis results. They cannot adaptively respond to possible increased loads in the future or insufficient power generation under extreme weather conditions. There are poor multi-dimensional supervision and analysis effects and poor autonomous optimization management effects in the redundant design of photovoltaic energy storage charging. Summary of the invention

[0004] The purpose of the present invention is to provide a photovoltaic energy storage charging control method and system, which is used to solve the technical problems of poor multi-dimensional supervision and analysis effect and poor autonomous optimization management effect in redundant design of photovoltaic energy storage charging in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A photovoltaic energy storage charging control method, comprising:

[0007] Monitor and analyze the daily energy storage data and daily charging data of the target photovoltaic energy storage to obtain the daily energy storage support status corresponding to the target photovoltaic energy storage on that day, digitally process and combine the daily energy storage support status corresponding to the target photovoltaic energy storage to obtain the daily redundancy status index and daily redundancy status combination sequence corresponding to the target photovoltaic energy storage;

[0008] Implement periodic multi-dimensional local photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by daily supervision of the target photovoltaic energy storage, and obtain the first-stage energy storage redundant state corresponding to the target photovoltaic energy storage and the corresponding first-stage energy storage redundant state identifier;

[0009] Implement periodic overall photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by daily supervision of the target photovoltaic energy storage, and obtain the second-stage energy storage redundant state and the corresponding second-stage energy storage redundant state identifier corresponding to the target photovoltaic energy storage;

[0010] The second-stage energy storage redundancy status identification and the second-stage energy storage redundancy status identification obtained by corresponding processing of the target photovoltaic energy storage within the supervision period are jointly analyzed, and the photovoltaic energy storage charging redundancy design of the target photovoltaic energy storage is dynamically controlled based on the analysis results.

[0011] Preferably, the daily energy storage data and daily charging data of the target photovoltaic energy storage are obtained, and the daily redundancy difference d of the target photovoltaic energy storage is calculated by the formula d=CH-CN; wherein CH is the daily total charging power in the daily charging data; CN is the daily total energy storage power in the daily energy storage data;

[0012] And, when the daily redundancy difference calculated daily for the target photovoltaic energy storage is analyzed and digitized, the daily redundancy difference is analyzed through the daily energy storage support identification model, and the daily redundancy state coefficient RZ(d) corresponding to the target photovoltaic energy storage is output;

[0013] The daily redundancy state coefficient contains a value of -1, 0, or 1;

[0014] According to the daily redundancy state coefficient with a value of -1, the daily redundancy state index RZ corresponding to the target photovoltaic energy storage on that day is set to RZ = α-Umin;

[0015] Or, according to the daily redundancy state coefficient with a value of 1, the daily redundancy state index RZ corresponding to the target photovoltaic energy storage on that day is set to RZ = α-Umax;

[0016] The daily redundancy status index obtained by the daily corresponding processing of the target photovoltaic energy storage is arranged and combined in the order of regulatory analysis time to obtain the daily redundancy status combination sequence.

[0017] Preferably, the expression of the daily energy storage support identification model is: Where Umin and Umax are the minimum and maximum values ​​of the daily redundancy difference standard range, respectively.

[0018] Preferably, when periodic multi-dimensional local photovoltaic energy storage stage charging supervision is implemented for the target photovoltaic energy storage according to a preset supervision cycle, the daily redundant state combination sequence corresponding to the target photovoltaic energy storage within the supervision cycle is traversed, and all daily redundant state indexes with negative values ​​and all daily redundant state indexes with positive values ​​are sorted and combined respectively to obtain the corresponding first-stage processing combination sequence and second-stage processing combination sequence;

[0019] When the processing analysis of the local stage redundant state is performed according to the first stage processing combination sequence and the second stage processing combination sequence, the first stage processing combination sequence and the second stage processing combination sequence are respectively calculated by the formula Calculate and obtain the corresponding local stage state influence value JYk; where k is 1 and 2, representing the first stage processing combination sequence and the second stage processing combination sequence respectively; JYk is JY1 and JY2, representing the local stage state influence values ​​corresponding to the first stage processing combination sequence and the second stage processing combination sequence respectively; Nk is N1 and N2, representing the total number of elements in the first stage processing combination sequence and the total number of elements in the second stage processing combination sequence respectively; N′=N1+N2; Ak is A1 and A2, representing the stage surplus ratio standard value corresponding to the first stage processing combination sequence and the stage shortage ratio standard value corresponding to the second stage processing combination sequence respectively; Bk is B1 and B2, representing the stage surplus redundancy standard value corresponding to the first stage processing combination sequence and the stage shortage redundancy standard value corresponding to the second stage processing combination sequence respectively; is the floor function.

[0020] Preferably, the local stage state influence values ​​corresponding to the first stage processing combination sequence and the second stage processing combination sequence are sorted and combined to obtain a local stage energy storage combination sequence [JY1, JY2];

[0021] Perform data analysis on the local stage energy storage combination sequence. If JY1>1 and JY2≤1 in the local stage energy storage combination sequence, the target photovoltaic energy storage is determined to be in the first stage energy storage redundancy surplus state, and the corresponding first stage energy storage redundancy state flag is set to 1;

[0022] If JY1≤1 and JY2>1 in the local stage energy storage combination sequence, the target photovoltaic energy storage is judged to be in the first stage energy storage redundancy insufficient state, and the corresponding first stage energy storage redundancy state flag is set to -1;

[0023] In other cases, the target photovoltaic energy storage is determined to be in the first-stage energy storage redundancy fluctuation state, and the corresponding first-stage energy storage redundancy state flag is set to 0.

[0024] Preferably, when the target photovoltaic energy storage is periodically charged in the overall photovoltaic energy storage stage according to a preset supervision cycle, the daily redundant state combination sequence corresponding to the target photovoltaic energy storage within the supervision cycle is traversed, and all daily redundant state indexes with negative values ​​and all daily redundant state indexes with positive values ​​are summed up respectively to obtain the first stage redundant state value and the second stage redundant state value.

[0025] Preferably, the first-stage redundant state value and the second-stage redundant state value are calculated by the formula Calculate and obtain the overall stage state impact value ZZ corresponding to the target photovoltaic energy storage; where DD and DQ are the redundant state values ​​of the first stage and the second stage respectively; DZ is the total energy storage of the target photovoltaic energy storage within the regulatory period; C and D are the overall insufficient impact standard value and the overall error impact standard value corresponding to the target photovoltaic energy storage respectively; min() means obtaining the minimum value among different real numbers.

[0026] Preferably, when the overall stage state impact value is subjected to data analysis and digital processing, if the overall stage state impact value is less than or equal to 1, the target photovoltaic energy storage is determined to be in the second stage energy storage redundancy fluctuation state, and the corresponding second stage energy storage redundancy state flag is set to 0;

[0027] If the overall stage state impact value is greater than 1, the target photovoltaic energy storage is determined to be in the second-stage energy storage redundancy insufficient state, and the corresponding second-stage energy storage redundancy state flag is set to -1.

[0028] Preferably, if there is no stage energy storage redundancy state identifier with a value of -1, the existing photovoltaic energy storage charging redundancy design of the target photovoltaic energy storage is maintained;

[0029] If there is a stage energy storage redundancy state identifier with a value of -1, the existing photovoltaic energy storage charging redundancy design of the target photovoltaic energy storage is dynamically adjusted.

[0030] A photovoltaic energy storage charging control system, comprising:

[0031] The photovoltaic energy storage charging daily redundancy supervision and processing module is used to supervise and analyze the daily energy storage data and daily charging data of the target photovoltaic energy storage, obtain the daily energy storage support status corresponding to the target photovoltaic energy storage on that day, and digitally process and combine the daily energy storage support status corresponding to the target photovoltaic energy storage to obtain the daily redundancy status index and daily redundancy status combination sequence corresponding to the target photovoltaic energy storage;

[0032] The photovoltaic energy storage charging first stage supervision processing module is used to implement periodic multi-dimensional local photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by the daily supervision processing of the target photovoltaic energy storage, and obtain the first stage energy storage redundant state corresponding to the target photovoltaic energy storage and the corresponding first stage energy storage redundant state identifier;

[0033] The second-stage supervision and processing module of photovoltaic energy storage charging is used to implement periodic overall photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by daily supervision and processing of target photovoltaic energy storage, and obtain the second-stage energy storage redundant state corresponding to the target photovoltaic energy storage and the corresponding second-stage energy storage redundant state identifier;

[0034] The photovoltaic energy storage charging redundancy assessment and control module is used to jointly analyze the second-stage energy storage redundancy status identification and the second-stage energy storage redundancy status identification obtained by corresponding processing of the target photovoltaic energy storage within the supervision period, and dynamically control the photovoltaic energy storage charging redundancy design of the target photovoltaic energy storage according to the analysis results.

[0035] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0036] The present invention implements periodic multi-dimensional local photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by daily supervision processing of the target photovoltaic energy storage, thereby realizing data analysis and digital representation of local supervision states of different aspects of the target photovoltaic energy storage. At the same time, it can also provide reliable multi-dimensional local supervision analysis data support for the analysis and dynamic management of subsequent photovoltaic energy storage charging redundancy design, thereby improving the diversity and data expansibility of local supervision analysis of photovoltaic energy storage charging.

[0037] The present invention implements periodic overall photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by daily supervision processing of the target photovoltaic energy storage, thereby realizing data analysis and digital representation of the overall supervision state of the target photovoltaic energy storage. At the same time, it can also provide reliable overall supervision analysis data support for the analysis and dynamic management of subsequent photovoltaic energy storage charging redundancy design, thereby improving the comprehensiveness and reliability of local supervision analysis of photovoltaic energy storage charging.

[0038] The present invention jointly analyzes the photovoltaic energy storage supervision results of different aspects in the early stage, determines whether the existing photovoltaic energy storage charging redundancy design corresponding to the target photovoltaic energy storage meets the actual operation requirements, and adaptively controls the photovoltaic energy storage charging dynamically according to the analysis results, thereby improving the autonomous supervision analysis effect and autonomous optimization management effect of photovoltaic energy storage charging in redundant design. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] Figure 1 This is a flowchart of a photovoltaic energy storage charging control method of the present invention.

[0041] Figure 2 This is a module block diagram of a photovoltaic energy storage charging management and control system in the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Example 1: Figure 1 As shown, the present invention is a photovoltaic energy storage charging control method, comprising:

[0044] The daily energy storage data and daily charging data of the target photovoltaic energy storage are supervised and analyzed to obtain the daily energy storage support status corresponding to the target photovoltaic energy storage on that day, and the daily energy storage support status corresponding to the target photovoltaic energy storage is digitally processed and combined to obtain the daily redundancy status index and daily redundancy status combination sequence corresponding to the target photovoltaic energy storage; including:

[0045] Obtain the daily energy storage data and daily charging data of the target photovoltaic energy storage. The target photovoltaic energy storage refers to the photovoltaic energy storage object that needs to be supervised in the actual application scenario, and calculate the daily redundancy difference d of the target photovoltaic energy storage through the formula d=CH-CN; where CH is the daily total charging power in the daily charging data; CN is the daily total energy storage power in the daily energy storage data;

[0046] And, when the daily redundancy difference calculated daily for the target photovoltaic energy storage is analyzed and digitized, the daily redundancy difference is analyzed through the daily energy storage support identification model, and the daily redundancy state coefficient RZ(d) corresponding to the target photovoltaic energy storage is output;

[0047] Among them, the expression of daily energy storage support identification model is: In the formula, Umin and Umax are the minimum and maximum values ​​of the daily redundancy difference standard range, respectively. The daily redundancy difference standard range can be determined based on the previous operation design data corresponding to the target photovoltaic energy storage;

[0048] It should be noted that the daily redundancy state coefficient is used to calculate the energy storage data and charging data of the target photovoltaic energy storage on the day of charging, so as to digitally represent its daily energy storage support state on that day;

[0049] The daily redundancy state coefficient contains a value of -1, 0, or 1;

[0050] The daily redundancy state coefficient with a value of -1 indicates the daily energy storage support surplus state of the target PV energy storage on that day;

[0051] A daily redundancy state coefficient with a value of 0 indicates that the daily energy storage support of the target PV energy storage is in a normal state on that day;

[0052] A daily redundancy state coefficient with a value of 1 indicates that the target PV energy storage is in a state of insufficient daily energy storage support on that day;

[0053] And, according to the daily redundancy state coefficient with a value of -1, the daily redundancy state index RZ corresponding to the target photovoltaic energy storage on that day is set to RZ = d-Umin; the value here is negative;

[0054] Or, according to the daily redundancy state coefficient with a value of 1, the daily redundancy state index RZ corresponding to the target photovoltaic energy storage on that day is set to RZ = d-Umax; the value here is positive;

[0055] The daily redundancy state index obtained by the daily corresponding processing of the target photovoltaic energy storage is arranged and combined according to the supervision analysis time sequence to obtain the daily redundancy state combination sequence;

[0056] In the embodiment of the present invention, by calculating and analyzing the daily energy storage support status corresponding to the target photovoltaic energy storage on that day and digitally representing it, reliable daily energy storage supervision data support can be provided for subsequent supervision analysis of different aspects of the target photovoltaic energy storage.

[0057] Implement periodic multi-dimensional local photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by daily supervision of the target photovoltaic energy storage, and obtain the first-stage energy storage redundant state corresponding to the target photovoltaic energy storage and the corresponding first-stage energy storage redundant state identifier; including:

[0058] When implementing periodic multi-dimensional local photovoltaic energy storage stage charging supervision on the target photovoltaic energy storage according to the preset supervision cycle, the unit of the supervision cycle is day, which can be 30 days, or customized according to the actual application requirements of the actual application scenario. The daily redundant state combination sequence corresponding to the target photovoltaic energy storage within the supervision cycle is traversed, and all daily redundant state indexes with negative values ​​and all daily redundant state indexes with positive values ​​are sorted and combined respectively to obtain the corresponding first-stage processing combination sequence and second-stage processing combination sequence;

[0059] When the processing analysis of the local stage redundant state is performed according to the first stage processing combination sequence and the second stage processing combination sequence, the first stage processing combination sequence and the second stage processing combination sequence are respectively calculated by the formula Calculate and obtain the corresponding local stage state impact value JYk; where k is 1 and 2, representing the first stage processing combination sequence and the second stage processing combination sequence respectively; JYk is JY1 and JY2, which are the local stage state impact values ​​corresponding to the first stage processing combination sequence and the second stage processing combination sequence respectively; Nk is N1 and N2, which are the total number of elements in the first stage processing combination sequence and the total number of elements in the second stage processing combination sequence respectively; N′=N1+N2; Ak is A1 and A2, which are the stage surplus ratio standard value corresponding to the first stage processing combination sequence and the stage shortage ratio standard value corresponding to the second stage processing combination sequence respectively; Bk is B1 and B2, which are the stage surplus redundancy standard value corresponding to the first stage processing combination sequence and the stage shortage redundancy standard value corresponding to the second stage processing combination sequence respectively, which can be determined according to the previous operation design data corresponding to the target photovoltaic energy storage, or according to the redundancy standard data in the photovoltaic energy storage field; is the floor rounding function;

[0060] It should be noted that the local stage state impact value is used to calculate the daily redundant supervision data of the target PV energy storage charging within the supervision cycle from different aspects to digitally represent the local PV energy storage support state of the target PV energy storage;

[0061] The local stage state influence values ​​corresponding to the first stage processing combination sequence and the second stage processing combination sequence are sorted and combined to obtain the local stage energy storage combination sequence [JY1, JY2];

[0062] Perform data analysis on the local stage energy storage combination sequence. If JY1>1 and JY2≤1 in the local stage energy storage combination sequence, the target photovoltaic energy storage is determined to be in the first stage energy storage redundancy surplus state, and the corresponding first stage energy storage redundancy state flag is set to 1;

[0063] If JY1≤1 and JY2>1 in the local stage energy storage combination sequence, the target photovoltaic energy storage is judged to be in the first stage energy storage redundancy insufficient state, and the corresponding first stage energy storage redundancy state flag is set to -1;

[0064] In other cases, the target photovoltaic energy storage is determined to be in the first-stage energy storage redundancy fluctuation state, and the corresponding first-stage energy storage redundancy state flag is set to 0;

[0065] In the embodiment of the present invention, by implementing periodic multi-dimensional local photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by daily supervision processing of the target photovoltaic energy storage, data analysis and digital representation of local supervision states of different aspects of the target photovoltaic energy storage are achieved, and reliable multi-dimensional local supervision analysis data support can be provided for the analysis and dynamic management of subsequent photovoltaic energy storage charging redundancy design, thereby improving the diversity and data scalability of local supervision analysis of photovoltaic energy storage charging.

[0066] Implement periodic overall photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by daily supervision of the target photovoltaic energy storage, and obtain the second-stage energy storage redundant state and the corresponding second-stage energy storage redundant state identifier corresponding to the target photovoltaic energy storage; including:

[0067] When the target photovoltaic energy storage is periodically charged in the overall photovoltaic energy storage stage according to the preset supervision cycle, the daily redundant state combination sequence corresponding to the target photovoltaic energy storage in the supervision cycle is traversed, and all the daily redundant state indexes with negative values ​​and all the daily redundant state indexes with positive values ​​are summed up respectively to obtain the first stage redundant state value and the second stage redundant state value;

[0068] The first-stage redundant state value and the second-stage redundant state value are calculated by the formula Calculate and obtain the overall stage state impact value ZZ corresponding to the target photovoltaic energy storage; where DD and DQ are the first stage redundant state value and the second stage redundant state value respectively; DZ is the total energy storage of the target photovoltaic energy storage within the regulatory period; C and D are the overall insufficient impact standard value and the overall error impact standard value corresponding to the target photovoltaic energy storage respectively, which can be determined according to the previous operation design data corresponding to the target photovoltaic energy storage, or according to the redundant standard data in the photovoltaic energy storage field; min() means obtaining the minimum value among different real numbers;

[0069] It should be noted that the overall stage state impact value is used to calculate all daily redundant regulatory data of different aspects of the target PV energy storage charging within the regulatory cycle to digitally represent the overall PV energy storage support state of the target PV energy storage;

[0070] When the overall stage state impact value is analyzed and digitally processed, if the overall stage state impact value is less than or equal to 1, the target photovoltaic energy storage is determined to be in the second stage energy storage redundancy fluctuation state, and the corresponding second stage energy storage redundancy state flag is set to 0;

[0071] If the overall stage status impact value is greater than 1, the target PV energy storage is determined to be in the second stage energy storage redundancy insufficient state, and the corresponding second stage energy storage redundancy state flag is set to -1;

[0072] In the embodiment of the present invention, by implementing periodic overall photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by daily supervision processing of the target photovoltaic energy storage, data analysis and digital representation of the overall supervision state of the target photovoltaic energy storage are achieved, and reliable overall supervision analysis data support can be provided for the analysis and dynamic management of subsequent photovoltaic energy storage charging redundancy design, thereby improving the comprehensiveness and reliability of the local supervision analysis of photovoltaic energy storage charging.

[0073] Perform joint analysis on the second-stage energy storage redundancy status identification and the second-stage energy storage redundancy status identification obtained by corresponding processing of the target photovoltaic energy storage within the supervision period, and dynamically control the photovoltaic energy storage charging redundancy design of the target photovoltaic energy storage according to the analysis results; including:

[0074] If there is no stage energy storage redundancy state flag with a value of -1, the existing photovoltaic energy storage charging redundancy design of the target photovoltaic energy storage is maintained;

[0075] If there is a stage energy storage redundancy state identifier with a value of -1, the existing photovoltaic energy storage charging redundancy design of the target photovoltaic energy storage is dynamically adjusted.

[0076] Among them, the dynamic adjustment of the redundant design of photovoltaic energy storage charging can be specifically to add a number of new photovoltaic power generation equipment and energy storage equipment to further meet the high demand for photovoltaic energy storage supply for target photovoltaic energy storage charging.

[0077] Different from the existing technical solutions, which do not perform supervision and analysis on the redundant design status of photovoltaic energy storage charging, or only perform data analysis on the redundant design status of photovoltaic energy storage charging from a single aspect through a single technical means, and directly perform control based on the analysis results, the accuracy of data analysis is not high, which in turn affects the actual operation effect of photovoltaic energy storage charging control. In the embodiment of the present invention, by jointly analyzing the photovoltaic energy storage supervision results of different aspects in the early stage, it is determined whether the existing photovoltaic energy storage charging redundant design corresponding to the target photovoltaic energy storage meets the actual operation needs, and the photovoltaic energy storage charging is adaptively dynamically controlled based on the analysis results, thereby improving the autonomous supervision and analysis effect and autonomous optimization management effect of photovoltaic energy storage charging in redundant design.

[0078] Example 2: Figure 2 As shown, a photovoltaic energy storage charging control system includes:

[0079] The photovoltaic energy storage charging daily redundancy supervision and processing module is used to supervise and analyze the daily energy storage data and daily charging data of the target photovoltaic energy storage, obtain the daily energy storage support status corresponding to the target photovoltaic energy storage on that day, and digitally process and combine the daily energy storage support status corresponding to the target photovoltaic energy storage to obtain the daily redundancy status index and daily redundancy status combination sequence corresponding to the target photovoltaic energy storage;

[0080] The photovoltaic energy storage charging first stage supervision processing module is used to implement periodic multi-dimensional local photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by the daily supervision processing of the target photovoltaic energy storage, and obtain the first stage energy storage redundant state corresponding to the target photovoltaic energy storage and the corresponding first stage energy storage redundant state identifier;

[0081] The second-stage supervision and processing module of photovoltaic energy storage charging is used to implement periodic overall photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by daily supervision and processing of target photovoltaic energy storage, and obtain the second-stage energy storage redundant state corresponding to the target photovoltaic energy storage and the corresponding second-stage energy storage redundant state identifier;

[0082] The photovoltaic energy storage charging redundancy assessment and control module is used to jointly analyze the second-stage energy storage redundancy status identification and the second-stage energy storage redundancy status identification obtained by corresponding processing of the target photovoltaic energy storage within the supervision period, and dynamically control the photovoltaic energy storage charging redundancy design of the target photovoltaic energy storage according to the analysis results.

[0083] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0084] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0085] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0086] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0087] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A photovoltaic energy storage charging control method, characterized in that: include: Monitor and analyze the daily energy storage data and daily charging data of the target photovoltaic energy storage to obtain the daily energy storage support status corresponding to the target photovoltaic energy storage on that day, digitally process and combine the daily energy storage support status corresponding to the target photovoltaic energy storage to obtain the daily redundancy status index and daily redundancy status combination sequence corresponding to the target photovoltaic energy storage; Implement periodic multi-dimensional local photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by daily supervision of the target photovoltaic energy storage, and obtain the first-stage energy storage redundant state corresponding to the target photovoltaic energy storage and the corresponding first-stage energy storage redundant state identifier; Implement periodic overall photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by daily supervision of the target photovoltaic energy storage, and obtain the second-stage energy storage redundant state and the corresponding second-stage energy storage redundant state identifier corresponding to the target photovoltaic energy storage; The second-stage energy storage redundancy status identification and the second-stage energy storage redundancy status identification obtained by corresponding processing of the target photovoltaic energy storage within the supervision period are jointly analyzed, and the photovoltaic energy storage charging redundancy design of the target photovoltaic energy storage is dynamically controlled based on the analysis results.

2. A photovoltaic energy storage charging control method according to claim 1, characterized in that: Obtain the daily energy storage data and daily charging data of the target photovoltaic energy storage, and calculate the daily redundancy difference d of the target photovoltaic energy storage by the formula d=CH-CN; where CH is the daily total charging power in the daily charging data; CN is the daily total energy storage power in the daily energy storage data; And, when the daily redundancy difference calculated daily for the target photovoltaic energy storage is analyzed and digitized, the daily redundancy difference is analyzed through the daily energy storage support identification model, and the daily redundancy state coefficient RZ(d) corresponding to the target photovoltaic energy storage is output; The daily redundancy state coefficient contains a value of -1, 0, or 1; According to the daily redundancy state coefficient with a value of -1, the daily redundancy state index RZ corresponding to the target photovoltaic energy storage on that day is set to RZ = α-Umin; Or, according to the daily redundancy state coefficient with a value of 1, the daily redundancy state index RZ corresponding to the target photovoltaic energy storage on that day is set to RZ = α-Umax; The daily redundancy status index obtained by the daily corresponding processing of the target photovoltaic energy storage is arranged and combined in the order of regulatory analysis time to obtain the daily redundancy status combination sequence.

3. A photovoltaic energy storage charging control method according to claim 2, characterized in that: The expression of daily energy storage support identification model is: Where Umin and Umax are the minimum and maximum values ​​of the daily redundancy difference standard range, respectively.

4. A photovoltaic energy storage charging control method according to claim 2, characterized in that: When implementing periodic multi-dimensional local photovoltaic energy storage stage charging supervision on the target photovoltaic energy storage according to the preset supervision cycle, the daily redundant state combination sequence corresponding to the target photovoltaic energy storage within the supervision cycle is traversed, and all daily redundant state indexes with negative values ​​and all daily redundant state indexes with positive values ​​are sorted and combined respectively to obtain the corresponding first-stage processing combination sequence and second-stage processing combination sequence; When the processing analysis of the local stage redundant state is performed according to the first stage processing combination sequence and the second stage processing combination sequence, the first stage processing combination sequence and the second stage processing combination sequence are respectively calculated by the formula Calculate and obtain the corresponding local stage state influence value JYk; where k is 1 and 2, representing the first stage processing combination sequence and the second stage processing combination sequence respectively; JYk is JY1 and JY2, representing the local stage state influence values ​​corresponding to the first stage processing combination sequence and the second stage processing combination sequence respectively; Nk is N1 and N2, representing the total number of elements in the first stage processing combination sequence and the total number of elements in the second stage processing combination sequence respectively; N′=N1+N2; Ak is A1 and A2, representing the stage surplus ratio standard value corresponding to the first stage processing combination sequence and the stage shortage ratio standard value corresponding to the second stage processing combination sequence respectively; Bk is B1 and B2, representing the stage surplus redundancy standard value corresponding to the first stage processing combination sequence and the stage shortage redundancy standard value corresponding to the second stage processing combination sequence respectively; is the floor function.

5. A photovoltaic energy storage charging control method according to claim 4, characterized in that: The local stage state influence values ​​corresponding to the first stage processing combination sequence and the second stage processing combination sequence are sorted and combined to obtain the local stage energy storage combination sequence [JY1, JY2]; Perform data analysis on the local stage energy storage combination sequence. If JY1>1 and JY2≤1 in the local stage energy storage combination sequence, the target photovoltaic energy storage is determined to be in the first stage energy storage redundancy surplus state, and the corresponding first stage energy storage redundancy state flag is set to 1; If JY1≤1 and JY2>1 in the local stage energy storage combination sequence, the target photovoltaic energy storage is judged to be in the first stage energy storage redundancy insufficient state, and the corresponding first stage energy storage redundancy state flag is set to -1; In other cases, the target photovoltaic energy storage is determined to be in the first-stage energy storage redundancy fluctuation state, and the corresponding first-stage energy storage redundancy state flag is set to 0.

6. A photovoltaic energy storage charging control method according to claim 5, characterized in that: When the target photovoltaic energy storage is periodically charged in the overall photovoltaic energy storage stage according to the preset supervision cycle, the daily redundant state combination sequence corresponding to the target photovoltaic energy storage in the supervision cycle is traversed, and all daily redundant state indexes with negative values ​​and all daily redundant state indexes with positive values ​​are summed up respectively to obtain the first stage redundant state value and the second stage redundant state value.

7. A photovoltaic energy storage charging control method according to claim 6, characterized in that: The first-stage redundant state value and the second-stage redundant state value are calculated by the formula Calculate and obtain the overall stage state impact value ZZ corresponding to the target photovoltaic energy storage; where DD and DQ are the redundant state values ​​of the first stage and the second stage respectively; DZ is the total energy storage of the target photovoltaic energy storage within the regulatory period; C and D are the overall insufficient impact standard value and the overall error impact standard value corresponding to the target photovoltaic energy storage respectively; min() means obtaining the minimum value among different real numbers.

8. A photovoltaic energy storage charging control method according to claim 7, characterized in that: When the overall stage state impact value is analyzed and digitally processed, if the overall stage state impact value is less than or equal to 1, the target photovoltaic energy storage is determined to be in the second stage energy storage redundancy fluctuation state, and the corresponding second stage energy storage redundancy state flag is set to 0; If the overall stage state impact value is greater than 1, the target photovoltaic energy storage is determined to be in the second-stage energy storage redundancy insufficient state, and the corresponding second-stage energy storage redundancy state flag is set to -1.

9. A photovoltaic energy storage charging control method according to claim 8, characterized in that: If there is no stage energy storage redundancy status indicator with a value of -1, the existing photovoltaic energy storage charging redundancy design of the target photovoltaic energy storage is maintained; If there is a stage energy storage redundancy state identifier with a value of -1, the existing photovoltaic energy storage charging redundancy design of the target photovoltaic energy storage is dynamically adjusted.

10. A photovoltaic energy storage charging control system, using a photovoltaic energy storage charging control method as described in any one of claims 1 to 9, characterized in that: include: The photovoltaic energy storage charging daily redundancy supervision and processing module is used to supervise and analyze the daily energy storage data and daily charging data of the target photovoltaic energy storage, obtain the daily energy storage support status corresponding to the target photovoltaic energy storage on that day, and digitally process and combine the daily energy storage support status corresponding to the target photovoltaic energy storage to obtain the daily redundancy status index and daily redundancy status combination sequence corresponding to the target photovoltaic energy storage; The photovoltaic energy storage charging first stage supervision processing module is used to implement periodic multi-dimensional local photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by the daily supervision processing of the target photovoltaic energy storage, and obtain the first stage energy storage redundant state corresponding to the target photovoltaic energy storage and the corresponding first stage energy storage redundant state identifier; The second-stage supervision and processing module of photovoltaic energy storage charging is used to implement periodic overall photovoltaic energy storage stage charging supervision and processing analysis on the daily redundant state combination sequence obtained by daily supervision and processing of target photovoltaic energy storage, and obtain the second-stage energy storage redundant state corresponding to the target photovoltaic energy storage and the corresponding second-stage energy storage redundant state identifier; The photovoltaic energy storage charging redundancy assessment and control module is used to jointly analyze the second-stage energy storage redundancy status identification and the second-stage energy storage redundancy status identification obtained by corresponding processing of the target photovoltaic energy storage within the supervision period, and dynamically control the photovoltaic energy storage charging redundancy design of the target photovoltaic energy storage according to the analysis results.

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