A method and system for intelligent analysis and control of power grid energy storage

Abstract

The present invention is applicable to the technical field of power grid regulation and control, and provides a method and system for intelligent analysis and regulation of power grid energy storage. The present invention monitors the operation of the power grid; selects multiple shared households and obtains multiple shared record data; in the power grid energy storage stage, determines multiple distributed batteries and selects multiple online energy storage targets; calculates the charge capacity ratio of multiple distributed batteries and performs energy storage balance regulation on multiple distributed batteries; calculates the indirect energy storage index of multiple online energy storage targets and performs energy storage hierarchical regulation on multiple online energy storage targets. It can realize active power grid regulation linkage with the household, perform energy storage hierarchical regulation on multiple online energy storage targets in multiple shared households, expand the scope of power grid energy storage regulation, and can calculate the charge capacity ratio of multiple distributed batteries, perform energy storage balance regulation on multiple distributed batteries, and achieve balance between multiple distributed batteries, thereby avoiding the problem of overcharging or over-discharging.

Description

Technical Field

[0001] The present invention belongs to the technical field of power grid regulation and control, and in particular relates to a method and system for intelligent analysis and regulation of power grid energy supply and storage. Background Art

[0002] Grid regulation is the process of real-time, dynamic and automated control and adjustment of power systems through the use of information technology and communication technology. Its main purpose is to improve the safety, reliability, economy and environmental performance of the entire power grid.

[0003] In the existing technology, grid energy storage regulation has two major problems: (1) it is only applicable to the internal grid energy storage system and cannot achieve active grid regulation linkage with the home, resulting in limited grid energy storage regulation; (2) the internal regulation of the grid energy storage system cannot achieve balance among multiple distributed batteries, which easily leads to overcharging or over-discharging of distributed batteries. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a method and system for intelligent analysis and control of power grid energy storage, aiming to solve the technical problems existing in the prior art mentioned in the background technology.

[0005] The embodiment of the present invention is implemented as follows:

[0006] A method for intelligent analysis and control of power grid energy storage, the method specifically comprising the following steps:

[0007] Conducting grid operation monitoring, determining the grid energy supply phase and the grid energy storage phase, and obtaining energy supply record data of the grid energy supply phase;

[0008] Generate and send a shared energy storage request to multiple user households, receive multiple sharing request feedbacks, select multiple sharing households, and obtain sharing record data of the multiple sharing households;

[0009] In the grid energy storage phase, a plurality of distributed storage batteries are determined, and based on the plurality of shared recorded data, online energy storage targets of the plurality of shared households are selected;

[0010] Calculating the charge capacity ratios of the plurality of distributed storage batteries according to the energy supply record data, and performing energy storage balance control on the plurality of distributed storage batteries according to the plurality of charge capacity ratios;

[0011] According to the multiple shared record data, indirect energy storage indexes of the multiple online energy storage targets are calculated, and according to the multiple indirect energy storage indexes, energy storage hierarchical regulation is performed on the multiple online energy storage targets.

[0012] As a further limitation of the technical solution of the embodiment of the present invention, the monitoring of power grid operation, determining the power grid energy supply stage and the power grid energy storage stage, and obtaining the energy supply record data of the power grid energy supply stage specifically includes the following steps:

[0013] Conduct grid operation monitoring and obtain grid monitoring data;

[0014] Analyze the power grid monitoring data to determine the power grid energy supply stage and the power grid energy storage stage;

[0015] Obtain energy supply record data during the energy supply phase of the power grid.

[0016] As a further limitation of the technical solution of the embodiment of the present invention, the generating and sending of a shared energy storage request to multiple user households, receiving multiple sharing request feedbacks, selecting multiple sharing households, and obtaining the shared record data of the multiple sharing households specifically include the following steps:

[0017] Generate and send shared energy storage requests to multiple user households;

[0018] receiving sharing request feedback from a plurality of user families;

[0019] Analyze the plurality of sharing request feedbacks, and select a plurality of sharing households that agree to the shared energy storage request from the plurality of user households;

[0020] Obtaining the shared data permissions of the multiple shared families;

[0021] According to the plurality of shared data permissions, the shared record data of the plurality of shared families are obtained.

[0022] As a further limitation of the technical solution of the embodiment of the present invention, in the power grid energy storage stage, determining a plurality of distributed storage batteries, and selecting a plurality of online energy storage targets of the shared households according to a plurality of the shared record data specifically includes the following steps:

[0023] In the grid energy storage phase, a direct energy storage signal and an indirect energy storage signal are generated;

[0024] Determining a plurality of distributed storage batteries according to the direct energy storage signal;

[0025] According to the indirect energy storage signal, target analysis is performed on the plurality of shared recorded data to determine a plurality of household energy storage targets;

[0026] Extracting a plurality of corresponding shared state data from the plurality of shared record data;

[0027] The plurality of shared status data are analyzed online, and a plurality of online energy storage targets are selected from the plurality of household energy storage targets.

[0028] As a further limitation of the technical solution of the embodiment of the present invention, the calculating of the charge capacity ratio of the plurality of distributed storage batteries according to the energy supply record data, and the energy storage balance control of the plurality of distributed storage batteries according to the plurality of charge capacity ratios specifically include the following steps:

[0029] Calculating the charge capacity ratio of the plurality of distributed storage batteries according to the energy supply record data;

[0030] generating a plurality of balancing control signals according to the plurality of charge capacity ratios;

[0031] According to the multiple balancing control signals, energy storage balancing control is performed on multiple distributed batteries.

[0032] As a further limitation of the technical solution of the embodiment of the present invention, the calculation formulas of the multiple charge capacity ratios are:

[0033] ;

[0034] in, Represents different distributed batteries, Represents the energy supply time, For the The charge capacity ratio of distributed batteries, For the The total charge capacity of distributed batteries, For the The initial charge capacity of a distributed battery, For the The output voltage of the distributed battery, For the The output power of a distributed battery.

[0035] As a further limitation of the technical solution of the embodiment of the present invention, the calculating of the indirect energy storage indexes of the multiple online energy storage targets according to the multiple shared record data, and the performing of energy storage hierarchical regulation on the multiple online energy storage targets according to the multiple indirect energy storage indexes specifically include the following steps:

[0036] Calculating indirect energy storage indexes of multiple online energy storage targets according to the multiple shared record data;

[0037] Comparing the plurality of indirect energy storage indexes with a preset standard energy storage index, and recording the index comparison result;

[0038] According to the index comparison result, the plurality of online energy storage targets are graded to determine a plurality of priority energy storage targets and a plurality of common energy storage targets;

[0039] Prioritize the regulation of indirect energy storage for multiple priority energy storage targets;

[0040] determining a preferential crossover phase in the grid energy storage phase;

[0041] During the preferential crossover phase, special regulation of indirect energy storage is performed on multiple common energy storage targets.

[0042] As a further limitation of the technical solution of the embodiment of the present invention, the calculation formulas of the multiple indirect energy storage indexes are:

[0043] ;

[0044] ;

[0045] in, Represents different online energy storage targets, For the Indirect energy storage index for online energy storage targets, is the preset first coefficient, For the Indirect energy storage capacity for online energy storage targets, is the preset second coefficient, For the The usage frequency of an online energy storage target.

[0046] A power grid energy storage intelligent analysis and control system, the system includes a power grid operation monitoring module, an indirect energy storage request module, an energy storage target selection module, an energy storage balance control module and an energy storage hierarchical control module, wherein:

[0047] A power grid operation monitoring module is used to monitor the power grid operation, determine the power grid energy supply stage and the power grid energy storage stage, and obtain the energy supply record data of the power grid energy supply stage;

[0048] An indirect energy storage request module, used to generate and send a shared energy storage request to multiple user households, receive multiple sharing request feedbacks, select multiple sharing households, and obtain sharing record data of multiple sharing households;

[0049] An energy storage target selection module, used to determine a plurality of distributed storage batteries during the grid energy storage phase, and select online energy storage targets of a plurality of the shared households according to a plurality of the shared record data;

[0050] An energy storage balance control module, used to calculate the charge capacity ratio of the plurality of distributed storage batteries according to the energy supply record data, and perform energy storage balance control on the plurality of distributed storage batteries according to the plurality of charge capacity ratios;

[0051] The energy storage hierarchical regulation module is used to calculate the indirect energy storage indexes of multiple online energy storage targets according to the multiple shared record data, and perform energy storage hierarchical regulation on the multiple online energy storage targets according to the multiple indirect energy storage indexes.

[0052] As a further limitation of the technical solution of the embodiment of the present invention, the energy storage hierarchical control module specifically includes:

[0053] An index calculation unit, used to calculate the indirect energy storage index of multiple online energy storage targets according to the multiple shared record data;

[0054] An index comparison unit, used to compare the multiple indirect energy storage indexes with a preset standard energy storage index, and record the index comparison result;

[0055] A target analysis unit, configured to classify the plurality of online energy storage targets according to the index comparison result, and determine a plurality of priority energy storage targets and a plurality of common energy storage targets;

[0056] A priority control unit, used for performing priority control of indirect energy storage for multiple priority energy storage targets;

[0057] a phase analysis unit, for determining a preferential crossover phase in the power grid energy storage phase;

[0058] The special control unit is used to perform special control of indirect energy storage on multiple common energy storage targets during the preferential crossover stage.

[0059] Compared with the prior art, the present invention has the following beneficial effects:

[0060] The embodiment of the present invention monitors the operation of the power grid; selects multiple shared households and obtains multiple shared record data; in the power grid energy storage stage, determines multiple distributed batteries and selects multiple online energy storage targets; calculates the charge capacity ratio of multiple distributed batteries and performs energy storage balance regulation on multiple distributed batteries; calculates the indirect energy storage index of multiple online energy storage targets and performs energy storage hierarchical regulation on multiple online energy storage targets. It can realize active power grid regulation linkage with households, perform energy storage hierarchical regulation on multiple online energy storage targets in multiple shared households, expand the power grid energy storage regulation range, and can calculate the charge capacity ratio of multiple distributed batteries, perform energy storage balance regulation on multiple distributed batteries, and achieve balance between multiple distributed batteries, thereby avoiding the problem of overcharging or over-discharging. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 A flow chart of a method for intelligent analysis and control of power grid energy supply and storage provided by an embodiment of the present invention is shown;

[0062] Figure 2A flowchart of power grid operation monitoring and analysis in a method provided by an embodiment of the present invention is shown;

[0063] Figure 3 A flowchart of shared energy storage request processing in the method provided in an embodiment of the present invention is shown;

[0064] Figure 4 A flowchart of selecting an online energy storage target in a method provided by an embodiment of the present invention is shown;

[0065] Figure 5 A flow chart showing energy storage balance control in the method provided in an embodiment of the present invention is shown;

[0066] Figure 6 A flow chart showing the energy storage hierarchical regulation in the method provided by an embodiment of the present invention is shown;

[0067] Figure 7 An application architecture diagram of a power grid energy storage intelligent analysis and control system provided by an embodiment of the present invention is shown;

[0068] Figure 8 The structure block diagram of the energy storage hierarchical control module in the system provided by the embodiment of the present invention is shown. DETAILED DESCRIPTION

[0069] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0070] It is understandable that in the prior art, the grid energy storage regulation has two major problems: (1) it is only applicable to the internal part of the grid energy storage system and cannot achieve active grid regulation linkage with the home, resulting in limited grid energy storage regulation; (2) the internal regulation of the grid energy storage system cannot achieve balance among multiple distributed batteries, which easily leads to overcharging or over-discharging of distributed batteries.

[0071] To solve the above problems, an embodiment of the present invention discloses a method and system for intelligent analysis and control of power grid energy supply and storage, which monitors the operation of the power grid, determines the power grid energy supply stage and the power grid energy storage stage, and obtains energy supply record data in the power grid energy supply stage; generates and sends shared energy storage requests to multiple user households, receives multiple sharing request feedbacks, selects multiple sharing households, and obtains shared record data of multiple sharing households; in the power grid energy storage stage, determines multiple distributed batteries, and selects online energy storage targets of multiple sharing households based on the multiple shared record data; calculates the charge capacity ratios of the multiple distributed batteries based on the energy supply record data, and performs energy storage balancing control on the multiple distributed batteries according to the multiple charge capacity ratios; calculates the indirect energy storage indexes of the multiple online energy storage targets based on the multiple shared record data, and performs energy storage hierarchical control on the multiple online energy storage targets according to the multiple indirect energy storage indexes. It can realize active grid control linkage with households, perform graded energy storage control on multiple online energy storage targets in multiple shared households, expand the grid energy storage control range, calculate the charge capacity ratio of multiple distributed batteries, perform energy storage balance control on multiple distributed batteries, and achieve balance between multiple distributed batteries, thereby avoiding overcharging or over-discharging problems.

[0072] Specifically, Figure 1 A flow chart of a method for intelligent analysis and control of power grid energy supply and storage provided by an embodiment of the present invention is shown.

[0073] In a preferred embodiment of the present invention, a method for intelligent analysis and control of power grid energy storage is provided, the method specifically comprising the following steps:

[0074] Step S101: monitor the operation of the power grid, determine the power grid energy supply stage and the power grid energy storage stage, and obtain energy supply record data of the power grid energy supply stage.

[0075] In an embodiment of the present invention, by real-time monitoring of the operation of the power grid, obtaining power grid monitoring data, and then analyzing the power grid monitoring data, the operation process of the power grid is divided into peak shaving and valley filling stages, the power grid energy supply stage and the power grid energy storage stage are determined, and the energy supply record data of the power grid energy supply stage is obtained.

[0076] It can be understood that in the process of peak shaving and valley filling of the power grid, the power supply stage of the power grid, corresponding to the valley filling process, is a stage where the power generation is less than the electricity demand; the power storage stage of the power grid, corresponding to the peak shaving process, is a stage where the power generation is greater than the electricity demand.

[0077] Specifically, Figure 2 A flow chart of power grid operation monitoring and analysis in the method provided by an embodiment of the present invention is shown.

[0078] Among them, in the preferred implementation mode provided by the present invention, the grid operation monitoring, determining the grid energy supply stage and the grid energy storage stage, and obtaining the energy supply record data of the grid energy supply stage specifically include the following steps:

[0079] Step S1011: Perform grid operation monitoring and obtain grid monitoring data.

[0080] Step S1012: Analyze the power grid monitoring data to determine the power grid energy supply stage and the power grid energy storage stage.

[0081] Step S1013: Acquire energy supply record data during the energy supply phase of the power grid.

[0082] Furthermore, the power grid energy storage intelligent analysis and control method further includes the following steps:

[0083] Step S102: Generate and send a shared energy storage request to multiple user households, receive multiple sharing request feedbacks, select multiple sharing households, and obtain sharing record data of the multiple sharing households.

[0084] In an embodiment of the present invention, a shared energy storage request is generated and sent to home clients of multiple user households. Representative users of the multiple user households can browse the shared energy storage request through the home clients and perform feedback processing of agreement or rejection. By receiving sharing request feedback from multiple user households and then analyzing the multiple sharing request feedbacks, multiple sharing households that agree to the shared energy storage request are selected from the multiple user households, and then the sharing data permissions of the multiple sharing households are obtained, and then the shared record data of the multiple sharing households are obtained based on the sharing data permissions of the multiple sharing households.

[0085] It can be understood that the user's household is the smallest unit of grid payment; the home client can be a platform for the user's household to pay the grid electricity bill; the representative user is the user who logs into the home client and is also the representative member among multiple family members in the user's household.

[0086] Specifically, Figure 3 A flow chart of shared energy storage request processing in the method provided in an embodiment of the present invention is shown.

[0087] Among them, in the preferred implementation manner provided by the present invention, generating and sending a shared energy storage request to multiple user households, receiving multiple sharing request feedbacks, selecting multiple sharing households, and obtaining the shared record data of the multiple sharing households specifically include the following steps:

[0088] Step S1021: Generate and send a shared energy storage request to multiple user households.

[0089] Step S1022: receiving sharing request feedback from a plurality of user families.

[0090] Step S1023: Analyze the plurality of sharing request feedbacks, and select a plurality of sharing households that agree to the shared energy storage request from the plurality of user households.

[0091] Step S1024: Obtain the shared data permissions of the multiple shared families.

[0092] Step S1025: Acquire the shared record data of the multiple shared families according to the multiple shared data permissions.

[0093] Furthermore, the power grid energy storage intelligent analysis and control method further includes the following steps:

[0094] Step S103: During the grid energy storage phase, a plurality of distributed storage batteries are determined, and based on the plurality of shared record data, online energy storage targets of the plurality of shared households are selected.

[0095] In an embodiment of the present invention, in the grid energy storage stage, direct energy storage signals and indirect energy storage signals are generated, multiple distributed batteries are determined based on the direct energy storage signals, and multiple shared record data are analyzed for targets based on the indirect energy storage signals to determine multiple household energy storage targets in multiple shared households. Then, current shared status data of multiple shared households are extracted from the multiple shared record data, and then online analysis is performed on the multiple shared status data, and multiple online energy storage targets are selected from the multiple household energy storage targets.

[0096] It can be understood that the shared record data records the target names, indirect energy storage capacities and usage logs of multiple household energy storage targets in a shared household; household energy storage targets are functional items with rechargeable batteries in a shared household, such as laptops, sweeping robots, electric vehicles, etc.

[0097] It can be understood that the online energy storage target is a household energy storage target that has been connected to the power grid, is in an online charging state, and is ready to be charged; the online energy storage target in the online charging state requires the power grid to supply energy storage intelligent analysis and control system for charging control.

[0098] Specifically, Figure 4 A flow chart of selecting an online energy storage target in the method provided in an embodiment of the present invention is shown.

[0099] Among them, in the preferred implementation manner provided by the present invention, in the power grid energy storage stage, determining a plurality of distributed storage batteries, and selecting a plurality of online energy storage targets of the shared households according to a plurality of the shared record data specifically includes the following steps:

[0100] Step S1031: During the power grid energy storage phase, a direct energy storage signal and an indirect energy storage signal are generated.

[0101] Step S1032: Determine a plurality of distributed storage batteries according to the direct energy storage signal.

[0102] Step S1033: According to the indirect energy storage signal, target analysis is performed on the plurality of shared record data to determine a plurality of household energy storage targets.

[0103] Step S1034: extract a plurality of corresponding shared status data from the plurality of shared record data.

[0104] Step S1035: Perform online analysis on the plurality of shared status data, and select a plurality of online energy storage targets from the plurality of household energy storage targets.

[0105] Furthermore, the power grid energy storage intelligent analysis and control method further includes the following steps:

[0106] Step S104: Calculate the charge capacity ratios of the plurality of distributed storage batteries according to the energy supply record data, and perform energy storage balance control on the plurality of distributed storage batteries according to the plurality of charge capacity ratios.

[0107] In an embodiment of the present invention, the charge capacity ratios of the plurality of distributed storage batteries are calculated according to the energy supply record data, and then a plurality of balance control signals are generated according to the plurality of charge capacity ratios, and then the plurality of distributed storage batteries are subjected to energy storage balance control according to the plurality of balance control signals. In the grid energy storage stage, it is ensured that the charging energy storage of the distributed storage batteries with a low charge capacity ratio is greater than that of the distributed storage batteries with a high charge capacity ratio, so that the energy storage balance among the plurality of distributed storage batteries is achieved, thereby avoiding the problem of overcharging or over-discharging. Specifically, the calculation formulas for the plurality of charge capacity ratios are as follows:

[0108] ;

[0109] in, Represents different distributed batteries, Represents the energy supply time, For the The charge capacity ratio of distributed batteries, For the The total charge capacity of distributed batteries, For the The initial charge capacity of a distributed battery, For the The output voltage of the distributed battery, For the The output power of a distributed battery.

[0110] Specifically, Figure 5 A flow chart of energy storage balance control in the method provided in an embodiment of the present invention is shown.

[0111] Among them, in the preferred embodiment provided by the present invention, the charge capacity ratio of the plurality of distributed storage batteries is calculated according to the energy supply record data, and the energy storage balance control of the plurality of distributed storage batteries according to the plurality of charge capacity ratios specifically includes the following steps:

[0112] Step S1041: Calculate the charge capacity ratio of the plurality of distributed storage batteries according to the energy supply record data.

[0113] Step S1042: Generate multiple balancing control signals according to the multiple charge capacity ratios.

[0114] Step S1043: performing energy storage balancing control on multiple distributed batteries according to the multiple balancing control signals.

[0115] Furthermore, the power grid energy storage intelligent analysis and control method further includes the following steps:

[0116] Step S105: Calculate indirect energy storage indexes of multiple online energy storage targets based on the multiple shared record data, and perform energy storage hierarchical regulation on the multiple online energy storage targets according to the multiple indirect energy storage indexes.

[0117] In an embodiment of the present invention, multiple shared record data are analyzed to obtain indirect energy storage capacities and usage frequencies of multiple online energy storage targets, and then indirect energy storage indexes of multiple online energy storage targets are calculated. By comparing the multiple indirect energy storage indexes with a preset standard energy storage index, the index comparison results are recorded. According to the index comparison results, the online energy storage target whose indirect energy storage index is greater than the standard energy storage index is marked as a priority energy storage target, and the online energy storage target whose indirect energy storage index is not greater than the standard energy storage index is marked as a common energy storage target, so that the multiple online energy storage targets are hierarchically divided into multiple priority energy storage targets. and multiple common energy storage targets. In the grid energy storage stage, multiple priority energy storage targets are given priority regulation of indirect energy storage, and electricity preferential policy information is obtained. According to the electricity preferential policy information, the preferential crossover stage in the grid energy storage stage is determined. Then, in the preferential crossover stage, multiple common energy storage targets are subjected to special regulation of indirect energy storage, thereby realizing active grid regulation linkage with households, expanding the regulation range of grid energy storage, and making the charging of multiple online energy storage targets both meet the user's usage needs and effectively reduce electricity costs. Specifically, the calculation formula of multiple indirect energy storage indexes is:

[0118] ;

[0119] ;

[0120] in, Represents different online energy storage targets, For the Indirect energy storage index for online energy storage targets, is the preset first coefficient, For the Indirect energy storage capacity for online energy storage targets, is the preset second coefficient, For the The usage frequency of an online energy storage target.

[0121] It is understandable that the power generation and electricity demand of the power grid are fluctuating, resulting in changes in the peak shaving and valley filling process of the power grid and the power grid energy storage stage. Therefore, the power grid energy storage stage does not completely overlap with the electricity preferential stage specified in the electricity preferential policy information. The preferential crossover stage is the overlapping period of both the power grid energy storage stage and the electricity preferential stage.

[0122] It can be understood that priority regulation is an energy storage regulation that performs indirect energy storage on multiple priority energy storage targets during the grid energy storage stage; special regulation is an energy storage regulation that performs indirect energy storage on multiple common energy storage targets during the preferential intersection stage that belongs to both the grid energy storage stage and the electricity preferential stage; therefore, special regulation and priority regulation are two different energy storage regulation methods in energy storage hierarchical regulation, which are reflected in the differences in regulation objects and time periods.

[0123] Specifically, Figure 6 A flow chart of performing graded regulation of energy storage in the method provided in an embodiment of the present invention is shown.

[0124] Among them, in the preferred implementation manner provided by the present invention, the indirect energy storage indexes of multiple online energy storage targets are calculated according to the multiple shared record data, and the energy storage hierarchical regulation of the multiple online energy storage targets according to the multiple indirect energy storage indexes specifically includes the following steps:

[0125] Step S1051: Calculate the indirect energy storage index of multiple online energy storage targets according to the multiple shared record data.

[0126] Step S1052: compare the multiple indirect energy storage indexes with a preset standard energy storage index, and record the index comparison result.

[0127] Step S1053: classify the plurality of online energy storage targets according to the index comparison result, and determine a plurality of priority energy storage targets and a plurality of common energy storage targets.

[0128] Step S1054: Prioritize regulation of indirect energy storage for multiple priority energy storage targets.

[0129] Step S1055: determining a preferential crossover phase in the power grid energy storage phase.

[0130] Step S1056: During the preferential crossover phase, a special regulation of indirect energy storage is performed on a plurality of common energy storage targets.

[0131] Furthermore, Figure 7 The application architecture diagram of the power grid energy supply and storage intelligent analysis and control system provided by an embodiment of the present invention is shown.

[0132] Among them, in another preferred embodiment provided by the present invention, a power grid energy storage intelligent analysis and control system includes:

[0133] The power grid operation monitoring module 101 is used to monitor the power grid operation, determine the power grid energy supply stage and the power grid energy storage stage, and obtain the energy supply record data of the power grid energy supply stage.

[0134] In an embodiment of the present invention, the power grid operation monitoring module 101 obtains power grid monitoring data by real-time monitoring of the power grid operation, and then analyzes the power grid monitoring data, divides the operation process of the power grid into peak shaving and valley filling stages, determines the power grid energy supply stage and the power grid energy storage stage, and obtains the energy supply record data of the power grid energy supply stage.

[0135] The indirect energy storage request module 102 is used to generate and send a shared energy storage request to multiple user households, receive multiple sharing request feedbacks, select multiple sharing households, and obtain sharing record data of the multiple sharing households.

[0136] In an embodiment of the present invention, the indirect energy storage request module 102 generates a shared energy storage request and sends the shared energy storage request to home clients of multiple user households. Representative users of the multiple user households can browse the shared energy storage request through the home clients and perform feedback processing of agreement or rejection. The indirect energy storage request module 102 receives sharing request feedback from multiple user households, analyzes the multiple sharing request feedback, selects multiple sharing households that agree to the shared energy storage request from the multiple user households, and then obtains the sharing data permissions of the multiple sharing households, and then obtains the sharing record data of the multiple sharing households based on the sharing data permissions of the multiple sharing households.

[0137] The energy storage target selection module 103 is used to determine multiple distributed batteries during the power grid energy storage stage, and select online energy storage targets of multiple shared households based on multiple shared record data.

[0138] In an embodiment of the present invention, during the grid energy storage stage, the energy storage target selection module 103 generates a direct energy storage signal and an indirect energy storage signal, determines a plurality of distributed batteries based on the direct energy storage signal, and performs target analysis on a plurality of shared record data based on the indirect energy storage signal to determine a plurality of household energy storage targets in a plurality of shared households, extracts the current shared status data of a plurality of shared households from the plurality of shared record data, performs online analysis on the plurality of shared status data, and selects a plurality of online energy storage targets from the plurality of household energy storage targets.

[0139] The energy storage balance control module 104 is used to calculate the charge capacity ratio of the multiple distributed storage batteries according to the energy supply record data, and perform energy storage balance control on the multiple distributed storage batteries according to the multiple charge capacity ratios.

[0140] In the embodiment of the present invention, the energy storage balancing control module 104 calculates the charge capacity ratio of multiple distributed storage batteries according to the energy supply record data, and then generates multiple balance control signals according to the multiple charge capacity ratios, and then performs energy storage balancing control on the multiple distributed storage batteries according to the multiple balance control signals. In the grid energy storage stage, it is ensured that the charging energy storage of the distributed storage batteries with a low charge capacity ratio is greater than that of the distributed storage batteries with a high charge capacity ratio, so as to achieve energy storage balance among the multiple distributed storage batteries, thereby avoiding the problem of overcharging or over-discharging. Specifically, the calculation formula of the multiple charge capacity ratios is:

[0141] ;

[0142] in, Represents different distributed batteries, Represents the energy supply time, For the The charge capacity ratio of distributed batteries, For the The total charge capacity of distributed batteries, For the The initial charge capacity of a distributed battery, For the The output voltage of the distributed battery, For the The output power of a distributed battery.

[0143] The energy storage hierarchical control module 105 is used to calculate the indirect energy storage indexes of multiple online energy storage targets according to the multiple shared record data, and perform energy storage hierarchical control on the multiple online energy storage targets according to the multiple indirect energy storage indexes.

[0144] In the embodiment of the present invention, the energy storage hierarchical control module 105 analyzes multiple shared recorded data, obtains the indirect energy storage capacity and usage frequency of multiple online energy storage targets, and then calculates the indirect energy storage indexes of the multiple online energy storage targets, compares the multiple indirect energy storage indexes with the preset standard energy storage indexes, records the index comparison results, and marks the online energy storage targets whose indirect energy storage indexes are greater than the standard energy storage index as priority energy storage targets, and marks the online energy storage targets whose indirect energy storage indexes are not greater than the standard energy storage index as ordinary energy storage targets, thereby hierarchically dividing the multiple online energy storage targets into multiple priority energy storage targets. First, the energy storage target and multiple common energy storage targets are prioritized. In the grid energy storage stage, multiple priority energy storage targets are prioritized for indirect energy storage regulation, and electricity preferential policy information is obtained. According to the electricity preferential policy information, the preferential crossover stage in the grid energy storage stage is determined. Then, in the preferential crossover stage, multiple common energy storage targets are specially regulated for indirect energy storage, thereby realizing active grid regulation linkage with households, expanding the regulation range of grid energy storage, and making the charging of multiple online energy storage targets both meet the user's usage needs and effectively reduce electricity costs. Specifically, the calculation formula for multiple indirect energy storage indexes is:

[0145] ;

[0146] ;

[0147] in, Represents different online energy storage targets, For the Indirect energy storage index for online energy storage targets, is the preset first coefficient, For the Indirect energy storage capacity for online energy storage targets, is the preset second coefficient, For the The usage frequency of an online energy storage target.

[0148] Specifically, Figure 8 It shows a structural block diagram of the energy storage hierarchical control module 105 in the system provided by an embodiment of the present invention.

[0149] Among them, in the preferred embodiment provided by the present invention, the energy storage hierarchical control module 105 specifically includes:

[0150] The index calculation unit 1051 is used to calculate the indirect energy storage index of multiple online energy storage targets according to the multiple shared record data.

[0151] The index comparison unit 1052 is used to compare the multiple indirect energy storage indexes with a preset standard energy storage index and record the index comparison result.

[0152] The target analysis unit 1053 is used to classify the multiple online energy storage targets according to the index comparison result, and determine multiple priority energy storage targets and multiple common energy storage targets.

[0153] The priority control unit 1054 is used to perform priority control of indirect energy storage for multiple priority energy storage targets.

[0154] The stage analysis unit 1055 is used to determine the preferential crossover stage in the power grid energy storage stage.

[0155] The special regulation unit 1056 is used to perform special regulation of indirect energy storage on multiple common energy storage targets during the preferential crossover stage.

[0156] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0157] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0158] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for intelligent analysis and control of power grid energy storage, characterized in that: The method specifically comprises the following steps: Conducting grid operation monitoring, determining the grid energy supply phase and the grid energy storage phase, and obtaining energy supply record data of the grid energy supply phase; Generate and send a shared energy storage request to multiple user households, receive multiple sharing request feedbacks, select multiple sharing households, and obtain sharing record data of the multiple sharing households; In the grid energy storage phase, a plurality of distributed storage batteries are determined, and based on the plurality of shared recorded data, online energy storage targets of the plurality of shared households are selected; Calculating the charge capacity ratios of the plurality of distributed storage batteries according to the energy supply record data, and performing energy storage balance control on the plurality of distributed storage batteries according to the plurality of charge capacity ratios; Calculating indirect energy storage indexes of multiple online energy storage targets according to the multiple shared record data, and performing energy storage hierarchical regulation on the multiple online energy storage targets according to the multiple indirect energy storage indexes; The calculation formula of the multiple charge capacity ratios is: ； in, Represents different distributed batteries, Represents the energy supply time, For the The charge capacity ratio of distributed batteries, For the The total charge capacity of distributed batteries, For the The initial charge capacity of a distributed battery, For the The output voltage of the distributed battery, For the Output power of distributed batteries; The calculation formulas of the multiple indirect energy storage indexes are: ； ； in, Represents different online energy storage targets, For the Indirect energy storage index for online energy storage targets, is the preset first coefficient, For the Indirect energy storage capacity for online energy storage targets, is the preset second coefficient, For the The usage frequency of an online energy storage target.

2. The method for intelligent analysis and control of power grid energy supply and storage according to claim 1 is characterized in that: The grid operation monitoring, determining the grid energy supply stage and the grid energy storage stage, and obtaining the energy supply record data of the grid energy supply stage specifically includes the following steps: Conduct grid operation monitoring and obtain grid monitoring data; Analyze the power grid monitoring data to determine the power grid energy supply stage and the power grid energy storage stage; Obtain energy supply record data during the energy supply phase of the power grid.

3. The method for intelligent analysis and control of power grid energy supply and storage according to claim 1 is characterized in that: The generating and sending of a shared energy storage request to a plurality of user households, receiving a plurality of shared request feedbacks, selecting a plurality of shared households, and obtaining the shared record data of the plurality of shared households specifically comprises the following steps: Generate and send shared energy storage requests to multiple user households; receiving sharing request feedback from a plurality of user families; Analyze the plurality of sharing request feedbacks, and select a plurality of sharing households that agree to the shared energy storage request from the plurality of user households; Obtaining the shared data permissions of the multiple shared families; According to the plurality of shared data permissions, the shared record data of the plurality of shared families are obtained.

4. The method for intelligent analysis and control of power grid energy supply and storage according to claim 1 is characterized in that: In the grid energy storage stage, determining a plurality of distributed storage batteries and selecting a plurality of online energy storage targets of the shared households according to a plurality of the shared record data specifically comprises the following steps: In the grid energy storage phase, a direct energy storage signal and an indirect energy storage signal are generated; Determining a plurality of distributed storage batteries according to the direct energy storage signal; According to the indirect energy storage signal, target analysis is performed on the plurality of shared recorded data to determine a plurality of household energy storage targets; Extracting a plurality of corresponding shared state data from the plurality of shared record data; The plurality of shared status data are analyzed online, and a plurality of online energy storage targets are selected from the plurality of household energy storage targets.

5. The method for intelligent analysis and control of power grid energy supply and storage according to claim 1 is characterized in that: The step of calculating the charge capacity ratio of the plurality of distributed storage batteries according to the energy supply record data, and performing energy storage balance control on the plurality of distributed storage batteries according to the plurality of charge capacity ratios specifically comprises the following steps: Calculating the charge capacity ratio of the plurality of distributed storage batteries according to the energy supply record data; generating a plurality of balancing control signals according to the plurality of charge capacity ratios; According to the multiple balancing control signals, energy storage balancing control is performed on multiple distributed batteries.

6. The method for intelligent analysis and control of power grid energy supply and storage according to claim 1 is characterized in that: The step of calculating the indirect energy storage indexes of the multiple online energy storage targets according to the multiple shared record data, and performing energy storage hierarchical regulation on the multiple online energy storage targets according to the multiple indirect energy storage indexes specifically comprises the following steps: Calculating indirect energy storage indexes of multiple online energy storage targets according to the multiple shared record data; Comparing the plurality of indirect energy storage indexes with a preset standard energy storage index, and recording the index comparison result; According to the index comparison result, the plurality of online energy storage targets are graded to determine a plurality of priority energy storage targets and a plurality of common energy storage targets; Prioritize the regulation of indirect energy storage for multiple priority energy storage targets; determining a preferential crossover phase in the grid energy storage phase; During the preferential crossover phase, special regulation of indirect energy storage is performed on multiple common energy storage targets.

7. An intelligent analysis and control system for power grid energy storage, characterized in that: The system includes a power grid operation monitoring module, an indirect energy storage request module, an energy storage target selection module, an energy storage balance control module and an energy storage hierarchical control module, wherein: A power grid operation monitoring module is used to monitor the power grid operation, determine the power grid energy supply stage and the power grid energy storage stage, and obtain the energy supply record data of the power grid energy supply stage; An indirect energy storage request module, used to generate and send a shared energy storage request to multiple user households, receive multiple sharing request feedbacks, select multiple sharing households, and obtain sharing record data of multiple sharing households; An energy storage target selection module, used to determine a plurality of distributed storage batteries during the grid energy storage phase, and select online energy storage targets of a plurality of the shared households according to a plurality of the shared record data; An energy storage balance control module, used to calculate the charge capacity ratio of the plurality of distributed storage batteries according to the energy supply record data, and perform energy storage balance control on the plurality of distributed storage batteries according to the plurality of charge capacity ratios; An energy storage hierarchical control module is used to calculate the indirect energy storage indexes of multiple online energy storage targets according to the multiple shared record data, and perform energy storage hierarchical control on the multiple online energy storage targets according to the multiple indirect energy storage indexes; The calculation formula of the multiple charge capacity ratios is: ； in, Represents different distributed batteries, Represents the energy supply time, For the The charge capacity ratio of distributed batteries, For the The total charge capacity of distributed batteries, For the The initial charge capacity of a distributed battery, For the The output voltage of the distributed battery, For the Output power of distributed batteries; The calculation formulas of the multiple indirect energy storage indexes are: ； ； in, Represents different online energy storage targets, For the Indirect energy storage index for online energy storage targets, is the preset first coefficient, For the Indirect energy storage capacity for online energy storage targets, is the preset second coefficient, For the The usage frequency of an online energy storage target.

8. The intelligent analysis and control system for power grid energy supply and storage according to claim 7 is characterized in that: The energy storage hierarchical control module specifically includes: An index calculation unit, used to calculate the indirect energy storage index of multiple online energy storage targets according to the multiple shared record data; An index comparison unit, used to compare the multiple indirect energy storage indexes with a preset standard energy storage index, and record the index comparison result; A target analysis unit, configured to classify the plurality of online energy storage targets according to the index comparison result, and determine a plurality of priority energy storage targets and a plurality of common energy storage targets; A priority control unit, used for performing priority control of indirect energy storage for multiple priority energy storage targets; a phase analysis unit, for determining a preferential crossover phase in the power grid energy storage phase; The special control unit is used to perform special control of indirect energy storage on multiple common energy storage targets during the preferential crossover stage.

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