CN117081122B - Running state analysis system based on distributed energy storage device - Google Patents
Running state analysis system based on distributed energy storage device Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention relates to the field of running state analysis of distributed energy storage devices, and particularly discloses a running state analysis system based on the distributed energy storage devices, which is used for obtaining the use demand coefficient of each distributed energy storage device by acquiring the energy storage cycle times, average storage electric quantity, average power generation period and average integrated power grid electric quantity of each distributed energy storage device, thereby being beneficial to decision making such as extension and optimization of the distributed energy storage device and enabling the scale and resources of the distributed energy storage device to be matched with the use demands of the distributed energy storage device; the method comprises the steps of obtaining average power output, charge and discharge efficiency, working temperature and stability coefficients of each distributed energy storage device, analyzing to obtain operation state evaluation coefficients of each distributed energy storage device, comprehensively analyzing the operation states of the distributed energy storage devices, and improving the operation efficiency and reliability of the distributed energy storage devices; and further constructing characteristic labels of the distributed energy storage devices, and providing powerful support for management and operation and maintenance of the distributed energy storage devices.
Description
Technical Field
The invention relates to the field of operation state analysis of distributed energy storage devices, in particular to an operation state analysis system based on a distributed energy storage device.
Background
The distributed energy storage device is deployed at key nodes between power distribution and electric equipment, plays a role in peak clipping, valley filling and smooth load curve in the operation of a power grid system, meets the flexible power generation and absorption requirements of a distributed power station, and improves the operation stability of the power grid. Monitoring the running state of the energy storage device is an important means for ensuring the reliability, safety and performance optimization of the energy storage system, is beneficial to improving the energy utilization efficiency, reducing the operation cost and providing support for intelligent energy management and scheduling.
The existing operation state monitoring and analyzing mode of the energy storage device has the following defects: on the one hand, the existing method does not analyze the service condition of the distributed energy storage device, is further unfavorable for decision making such as extension optimization of the distributed energy storage device, has large service requirement of the distributed energy storage device, insufficient energy supply and small service requirement of the distributed energy storage device, and can lead to waste and low-efficiency utilization of energy and instability and vulnerability of energy supply due to the fact that the scale and resources of the distributed energy storage device are not matched with the service requirement of the distributed energy storage device.
On the other hand, the existing monitoring and analyzing modes of the distributed energy storage device only pay attention to a few key parameters or indexes, so that the comprehensive operation state of the distributed energy storage device is not well known, meanwhile, the capability of processing and analyzing a large amount of data is limited, the comprehensive operation information of the distributed energy storage device is difficult to obtain, and the accuracy and the comprehensive assessment of the operation state of the distributed energy storage device are further not facilitated.
Disclosure of Invention
Aiming at the problems, the invention provides an operation state analysis system based on a distributed energy storage device, which realizes the function of analyzing the operation state of the distributed energy storage device.
The technical scheme adopted for solving the technical problems is as follows: the invention provides an operation state analysis system based on a distributed energy storage device, which comprises: the energy storage device usage information acquisition module: the method is used for acquiring the use information of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, wherein the use information comprises the energy storage cycle times, the average stored electric quantity, the average power generation period and the average integrated electric network electric quantity.
The energy storage device uses a demand coefficient analysis module: the system is used for analyzing the output level coefficient of the energy storage device in each subarea of the target area in each sampling time period according to the use information of the energy storage device in each subarea of the target area in each sampling time period in the monitoring period, and further analyzing the use demand coefficient of the energy storage device in each subarea of the target area.
The energy storage device operation parameter acquisition module: the method is used for acquiring the operation parameters of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, wherein the operation parameters comprise average power output, charge and discharge efficiency, working temperature and stability coefficient.
The energy storage device running state evaluation module: and the system is used for analyzing and obtaining the operation state evaluation coefficients of the energy storage devices in each subarea of the target area according to the operation parameters of the energy storage devices in each subarea of the target area in each sampling time period in the monitoring period.
The energy storage device characteristic label construction module: the method is used for constructing characteristic labels of the energy storage devices in each subarea of the target area according to the use demand coefficients and the running state evaluation coefficients of the energy storage devices in each subarea of the target area and sending the characteristic labels to an energy management department of the target area.
Database: the method comprises the steps of storing a reference charging current characteristic curve, a reference charging voltage characteristic curve, a reference discharging current characteristic curve and a reference discharging voltage characteristic curve of the energy storage device.
Based on the above embodiment, the specific analysis process of the energy storage device usage information acquisition module includes: and setting the duration of the monitoring period, and setting each sampling time period in the monitoring period according to a preset equal time interval principle.
Dividing the target area according to a preset principle to obtain each subarea of the target area, and further obtaining the energy storage device of each subarea of the target area.
Acquiring the energy storage cycle times of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and recording the energy storage cycle times as，/>Indicate->Number of the individual sampling periods, +.>，/>Indicating the target area->The number of the sub-region is defined,。
acquiring average stored electric quantity of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and recording the average stored electric quantity as。
Based on the above embodiment, the specific analysis process of the energy storage device usage information acquisition module further includes: the method comprises the steps of acquiring the period from storage to release of electric energy of the energy storage device in each subarea of the target area of each sampling time period in a monitoring period, recording the period as the power generation period of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, further acquiring the average power generation period of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and recording the average power generation period as。
Acquiring the electric quantity injected into a power grid by the energy storage device in each subarea of the target area of each sampling time period in each energy storage cycle in the monitoring period, recording the electric quantity as the integrated power grid electric quantity of the energy storage device in each subarea of the target area of each sampling time period in each energy storage cycle in the monitoring period, further acquiring the average integrated power grid electric quantity of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and recording the average integrated power grid electric quantity as the integrated power grid electric quantity。
Based on the above embodiment, the specific analysis process of the energy storage device using the demand coefficient analysis module includes: by analysis of formulasObtaining the order of each sampling time period in the monitoring periodForce level coefficient of energy storage device in each subarea of target area +.>Wherein->Weight values respectively representing preset energy storage cycle times, average storage electric quantity, average power generation period and average integrated power grid electric quantity, +.>Indicating the influence factor corresponding to the preset single energy storage cycle,/->Representing a preset stored-power threshold value of the energy storage device, < >>Representing natural constant->Representing a preset power generation cycle threshold value of the energy storage device, < ->Representing a preset power threshold of the energy storage device incorporated into the grid.
On the basis of the foregoing embodiment, the specific analysis process of the energy storage device using the demand coefficient analysis module further includes: the population number, the enterprise number and the region area of each subarea of the target region are obtained and respectively recorded asBy analysis formula->Obtaining the electricity demand influence factor of each subarea of the target area>WhereinThe thresholds respectively represent the preset population number, the enterprise number and the regional area.
By analysis of formulasObtaining the use demand coefficient of the energy storage device in each subarea of the target area>Wherein->Correction factor representing preset user demand factor, < ->Represents the number of sampling periods, +.>Representing the number of subregions of the target region, +.>Indicating the%>Sample time period target region +.>The coefficient of the output level of the energy storage device in each sub-region.
Based on the above embodiment, the specific analysis process of the energy storage device operation parameter obtaining module includes: acquiring the charge electric quantity, the charge required time length, the discharge electric quantity and the discharge required time length of the energy storage device in each energy storage cycle of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and respectively recording the charge electric quantity, the charge required time length, the discharge electric quantity and the discharge required time length as，/>Indicate->Number of secondary energy storage cycle,/->。
By analysis of formulasObtaining the average power output of the energy storage device in each sub-area of the target area of each sampling period in the monitoring period>Wherein->Indicating the average power output correction factor of the preset energy storage device,/->Indicating the number of energy storage cycles.
Acquiring the electric quantity acquired from a power supply when the energy storage device is charged and the electric quantity released to a load when the energy storage device is discharged in each energy storage cycle in each subarea of each sampling time period target area in a monitoring period, and respectively recording the electric quantity as。
By analysis of formulasObtaining the charge and discharge efficiency of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period>Wherein->And representing a preset charge and discharge efficiency correction factor of the energy storage device.
On the basis of the foregoing embodiment, the specific analysis process of the energy storage device operation parameter acquisition module further includes: obtaining the obtainedTaking the highest surface temperature of the energy storage device in each sub-area of the target area of each sampling time period in the monitoring period in each energy storage cycle, further obtaining the working temperature of the energy storage device in each sub-area of the target area of each sampling time period in the monitoring period, and recording the working temperature as。
And acquiring a charging current characteristic curve, a charging voltage characteristic curve, a discharging current characteristic curve and a discharging voltage characteristic curve of the energy storage device in each energy storage cycle of the energy storage device in each subarea of a target area of each sampling time period in the monitoring period.
And extracting a reference charging current characteristic curve, a reference charging voltage characteristic curve, a reference discharging current characteristic curve and a reference discharging voltage characteristic curve of the energy storage device stored in the database.
Comparing the charging current characteristic curve of the energy storage device in each sub-area of the target area of each sampling period in the monitoring period with the reference charging current characteristic curve to obtain the similarity of the charging current characteristic curve of the energy storage device in each sub-area of the target area of each sampling period in the monitoring period with the reference charging current characteristic curve, and recording the similarity as the charging current coincidence degree of the energy storage device in each sub-area of the target area of each sampling period in the monitoring period and representing the similarity as。
Similarly, according to the analysis method of the charging current coincidence degree of the energy storage device in each sub-area of the target area of each sampling time period in each monitoring period, the charging voltage coincidence degree, the discharging current coincidence degree and the discharging voltage coincidence degree of the energy storage device in each sub-area of the target area of each sampling time period in each monitoring period are obtained and respectively recorded as the charging current coincidence degree, the discharging current coincidence degree and the discharging voltage coincidence degree of the energy storage device in each energy storage cycle。
By analysis of formulasObtaining the stability coefficient of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period>，/>And respectively representing preset thresholds of the charging current conformity, the charging voltage conformity, the discharging current conformity and the discharging voltage conformity.
Based on the above embodiment, the specific analysis process of the energy storage device operation state evaluation module includes: by analysis of formulasObtaining the operating parameter standard index of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period>Wherein->Threshold values respectively representing preset average power output, charge-discharge efficiency, operating temperature and stability coefficient, +.>Respectively representing preset weight values of average power output, charge-discharge efficiency, working temperature and stability coefficient.
On the basis of the foregoing embodiment, the specific analysis process of the energy storage device operation state evaluation module further includes: by analysis of formulasObtaining the operating state evaluation coefficient of the energy storage device in each subarea of the target area>Wherein->Indicating a preset operating parameter compliance index threshold, +.>Indicating the%>Sample time period target region +.>And the operating parameters of the energy storage devices in the sub-areas reach the standard indexes.
Compared with the prior art, the running state analysis system based on the distributed energy storage device has the following beneficial effects: 1. according to the invention, the output level of the distributed energy storage device is estimated from a plurality of angles such as the energy storage cycle times, the average stored electric quantity, the average power generation period, the average integrated power grid electric quantity and the like, and the use demand coefficient of the distributed energy storage device is further analyzed, so that decision making such as extension optimization of the distributed energy storage device is facilitated, the scale and the resources of the distributed energy storage device are matched with the use demands of the distributed energy storage device, and the stability and the sustainability of energy supply are ensured.
2. According to the invention, the running state of the distributed energy storage device is analyzed and evaluated from a plurality of indexes such as average power output, charge and discharge efficiency, working temperature and stability coefficient, so that the running state of the distributed energy storage device is comprehensively and effectively analyzed, the running efficiency and reliability of the distributed energy storage device are improved, and a powerful support is provided for the management and operation and maintenance of the distributed energy storage device.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a diagram illustrating a system module connection according to the present invention.
FIG. 2 is a schematic diagram of an analytical model according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 and 2, the invention provides an operation state analysis system based on a distributed energy storage device, which comprises an energy storage device usage information acquisition module, an energy storage device usage demand coefficient analysis module, an energy storage device operation parameter acquisition module, an energy storage device operation state evaluation module, an energy storage device feature tag construction module and a database.
The energy storage device use information acquisition module is connected with the energy storage device use demand coefficient analysis module, the energy storage device operation parameter acquisition module is connected with the energy storage device operation state evaluation module, the energy storage device characteristic label construction module is connected with the energy storage device use demand coefficient analysis module and the energy storage device operation state evaluation module respectively, and the database is connected with the energy storage device operation parameter acquisition module.
The energy storage device use information acquisition module is used for acquiring use information of the energy storage device in each subarea of a target area of each sampling time period in a monitoring period, wherein the use information comprises energy storage cycle times, average stored electric quantity, average power generation period and average integrated power grid electric quantity.
Further, the specific analysis process of the energy storage device usage information acquisition module includes: and setting the duration of the monitoring period, and setting each sampling time period in the monitoring period according to a preset equal time interval principle.
Dividing the target area according to a preset principle to obtain each subarea of the target area, and further obtaining the energy storage device of each subarea of the target area.
Acquiring the energy storage cycle times of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and recording the energy storage cycle times as，/>Indicate->Number of the individual sampling periods, +.>，/>Indicating the target area->The number of the sub-region is defined,。
acquiring average stored electric quantity of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and recording the average stored electric quantity as。
As a preferred scheme, the method for obtaining the average stored electric quantity of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period specifically comprises the following steps: setting each detection time point in a monitoring period according to a preset equal time interval principle, acquiring the stored electric quantity of the energy storage device in each subarea of the target area of each detection time point in each sampling time point in the monitoring period, and calculating the average value of the stored electric quantity of the energy storage device in each subarea of the target area of each detection time point in each sampling time point in the monitoring period to obtain the average stored electric quantity of the energy storage device in each subarea of the target area of each sampling time point in the monitoring period.
As a preferred solution, the energy storage device in each sub-area of the target area may be a single energy storage device, or may be a combination of multiple energy storage devices.
As a preferred option, the energy storage cycle includes a process of inputting electric energy into the energy storage device for charging and discharging the electric energy stored in the energy storage device.
Further, the specific analysis process of the energy storage device usage information acquisition module further includes: the method comprises the steps of acquiring the period from storage to release of electric energy of the energy storage device in each subarea of the target area of each sampling time period in a monitoring period, recording the period as the power generation period of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, further acquiring the average power generation period of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and recording the average power generation period as。
As a preferred scheme, the average power generation period of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period is obtained, and the specific method comprises the following steps: and calculating the average value of the power generation periods of the energy storage devices in each sub-area of the target area of each sampling time period in the monitoring period in each energy storage cycle, and obtaining the average power generation period of the energy storage devices in each sub-area of the target area of each sampling time period in the monitoring period.
Acquiring the electric quantity injected into a power grid by the energy storage device in each subarea of the target area of each sampling time period in each energy storage cycle in the monitoring period, recording the electric quantity as the integrated power grid electric quantity of the energy storage device in each subarea of the target area of each sampling time period in each energy storage cycle in the monitoring period, further acquiring the average integrated power grid electric quantity of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and recording the average integrated power grid electric quantity as the integrated power grid electric quantity。
As a preferred scheme, the average integrated power grid electric quantity of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period is obtained, and the specific method comprises the following steps: and carrying out average value calculation on the electric quantity of the energy storage device in each sub-area of the target area of each sampling time period in each energy storage cycle of the energy storage device, so as to obtain the average electric quantity of the energy storage device in each sub-area of the target area of each sampling time period in the monitoring period.
As a preferred solution, the period from storage to release of electrical energy by the energy storage device is the duration of the interval from storage to release of electrical energy by the energy storage device.
The energy storage device use demand coefficient analysis module is used for analyzing the output level coefficient of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period according to the use information of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and further analyzing the use demand coefficient of the energy storage device in each subarea of the target area.
Further, the specific analysis process of the energy storage device using the demand coefficient analysis module includes: by analysis of formulasObtaining the output level coefficient of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period>Wherein->Weight values respectively representing preset energy storage cycle times, average storage electric quantity, average power generation period and average integrated power grid electric quantity, +.>Indicating the influence factor corresponding to the preset single energy storage cycle,/->Representing a presetThreshold value of stored electricity of energy storage device, ">Representing natural constant->Representing a preset power generation cycle threshold value of the energy storage device, < ->Representing a preset power threshold of the energy storage device incorporated into the grid.
Further, the specific analysis process of the energy storage device using the demand coefficient analysis module further includes: the population number, the enterprise number and the region area of each subarea of the target region are obtained and respectively recorded asBy analysis of the formulaObtaining the electricity demand influence factor of each subarea of the target area>Wherein->The thresholds respectively represent the preset population number, the enterprise number and the regional area.
By analysis of formulasObtaining the use demand coefficient of the energy storage device in each subarea of the target area>Wherein->Correction factor representing preset user demand factor, < ->Represents the number of sampling periods, +.>Representing the number of subregions of the target region, +.>Indicating the%>Sample time period target region +.>The coefficient of the output level of the energy storage device in each sub-region.
It should be noted that, the invention evaluates the output level of the distributed energy storage device from a plurality of angles such as the energy storage cycle times, the average stored electric quantity, the average power generation period, the average integrated power grid electric quantity and the like, further analyzes the use demand coefficient of the distributed energy storage device, and is further beneficial to decision making such as extension optimization of the distributed energy storage device, so that the scale and the resource of the distributed energy storage device are matched with the use demands thereof, thereby ensuring the stability and the sustainability of energy supply.
The energy storage device operation parameter acquisition module is used for acquiring operation parameters of the energy storage device in each subarea of a target area of each sampling time period in a monitoring period, wherein the operation parameters comprise average power output, charge and discharge efficiency, working temperature and stability coefficient.
Further, the specific analysis process of the energy storage device operation parameter acquisition module comprises the following steps: acquiring the charge electric quantity, the charge required time length, the discharge electric quantity and the discharge required time length of the energy storage device in each energy storage cycle of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and respectively recording the charge electric quantity, the charge required time length, the discharge electric quantity and the discharge required time length as，/>Indicate->Number of secondary energy storage cycle,/->。
By analysis of formulasObtaining the average power output of the energy storage device in each sub-area of the target area of each sampling period in the monitoring period>Wherein->Indicating the average power output correction factor of the preset energy storage device,/->Indicating the number of energy storage cycles.
Acquiring the electric quantity acquired from a power supply when the energy storage device is charged and the electric quantity released to a load when the energy storage device is discharged in each energy storage cycle in each subarea of each sampling time period target area in a monitoring period, and respectively recording the electric quantity as。
By analysis of formulasObtaining the charge and discharge efficiency of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period>Wherein->And representing a preset charge and discharge efficiency correction factor of the energy storage device.
Further, the specific analysis process of the energy storage device operation parameter acquisition module further includes: acquiring the target ground of each sampling time period in the monitoring periodThe highest surface temperature of the energy storage device in each sub-area of the area in each energy storage cycle is further obtained, and the working temperature of the energy storage device in each sub-area of the target area in each sampling time period in the monitoring period is recorded as。
As a preferred scheme, the working temperature of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period is obtained, and the specific method comprises the following steps: and carrying out average value calculation on the highest surface temperature of the energy storage device in each sub-area of the target area of each sampling time period in the monitoring period, and obtaining the working temperature of the energy storage device in each sub-area of the target area of each sampling time period in the monitoring period.
And acquiring a charging current characteristic curve, a charging voltage characteristic curve, a discharging current characteristic curve and a discharging voltage characteristic curve of the energy storage device in each energy storage cycle of the energy storage device in each subarea of a target area of each sampling time period in the monitoring period.
And extracting a reference charging current characteristic curve, a reference charging voltage characteristic curve, a reference discharging current characteristic curve and a reference discharging voltage characteristic curve of the energy storage device stored in the database.
Comparing the charging current characteristic curve of the energy storage device in each sub-area of the target area of each sampling period in the monitoring period with the reference charging current characteristic curve to obtain the similarity of the charging current characteristic curve of the energy storage device in each sub-area of the target area of each sampling period in the monitoring period with the reference charging current characteristic curve, and recording the similarity as the charging current coincidence degree of the energy storage device in each sub-area of the target area of each sampling period in the monitoring period and representing the similarity as。
Similarly, the energy storage devices in each sub-area of the target area in each sampling time period in the monitoring period store energy for each timeMethod for analyzing charging current coincidence degree of energy storage device in cycle, obtaining charging voltage coincidence degree, discharging current coincidence degree and discharging voltage coincidence degree of energy storage device in each energy storage cycle of energy storage device in each subarea of target area of each sampling time period in monitoring period, and respectively marking the charging voltage coincidence degree, the discharging current coincidence degree and the discharging voltage coincidence degree as。
By analysis of formulasObtaining the stability coefficient of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period>，/>And respectively representing preset thresholds of the charging current conformity, the charging voltage conformity, the discharging current conformity and the discharging voltage conformity.
As a preferred embodiment, the charging current characteristic curve refers to a curve of a change of the charging current with time, and the charging voltage characteristic curve, the discharging current characteristic curve, and the discharging voltage characteristic curve are the same.
The energy storage device running state evaluation module is used for analyzing and obtaining running state evaluation coefficients of the energy storage devices in each subarea of the target area according to running parameters of the energy storage devices in each subarea of the target area in each sampling time period in the monitoring period.
Further, the specific analysis process of the energy storage device operation state evaluation module comprises the following steps: by analysis of formulasObtaining the operating parameter standard index of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period>Wherein->Threshold values respectively representing preset average power output, charge-discharge efficiency, operating temperature and stability coefficient, +.>Respectively representing preset weight values of average power output, charge-discharge efficiency, working temperature and stability coefficient.
Further, the specific analysis process of the energy storage device operation state evaluation module further comprises: by analysis of formulasObtaining the operating state evaluation coefficient of the energy storage device in each subarea of the target area>Wherein->Indicating a preset operating parameter compliance index threshold, +.>Indicating the%>Sample time period target region +.>And the operating parameters of the energy storage devices in the sub-areas reach the standard indexes.
The invention analyzes and evaluates the running state of the distributed energy storage device through a plurality of indexes such as average power output, charge and discharge efficiency, working temperature, stability coefficient and the like, realizes comprehensive and effective analysis on the running state of the distributed energy storage device, improves the running efficiency and reliability of the distributed energy storage device, and provides powerful support for management and operation and maintenance of the distributed energy storage device.
The energy storage device characteristic tag construction module is used for constructing characteristic tags of the energy storage devices in each subarea of the target area according to the use demand coefficient and the running state evaluation coefficient of the energy storage devices in each subarea of the target area and sending the characteristic tags to an energy management department of the target area.
The database is used for storing a reference charging current characteristic curve, a reference charging voltage characteristic curve, a reference discharging current characteristic curve and a reference discharging voltage characteristic curve of the energy storage device.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (4)
1. An operational state analysis system based on a distributed energy storage device, comprising:
the energy storage device usage information acquisition module: the method comprises the steps of acquiring use information of energy storage devices in each subarea of a target area of each sampling time period in a monitoring period, wherein the use information comprises energy storage cycle times, average stored electric quantity, average power generation period and average integrated power grid electric quantity;
the energy storage device uses a demand coefficient analysis module: the system is used for analyzing the output level coefficient of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period according to the use information of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and further analyzing the use demand coefficient of the energy storage device in each subarea of the target area;
the energy storage device operation parameter acquisition module: the method comprises the steps of acquiring operation parameters of an energy storage device in each subarea of a target area of each sampling time period in a monitoring period, wherein the operation parameters comprise average power output, charge and discharge efficiency, working temperature and stability coefficient;
the energy storage device running state evaluation module: the system comprises a monitoring unit, a power supply unit and a power supply unit, wherein the monitoring unit is used for monitoring the operation parameters of the power supply unit in each subarea of the target area in each sampling time period in the monitoring period, and analyzing and obtaining the operation state evaluation coefficients of the power supply unit in each subarea of the target area;
the energy storage device characteristic label construction module: the energy management system comprises an energy storage device management department, a target area management department and a control system, wherein the energy storage device management department is used for constructing characteristic labels of the energy storage device in each subarea of the target area according to the use demand coefficient and the running state evaluation coefficient of the energy storage device in each subarea of the target area;
database: the method comprises the steps of storing a reference charging current characteristic curve, a reference charging voltage characteristic curve, a reference discharging current characteristic curve and a reference discharging voltage characteristic curve of the energy storage device;
the specific analysis process of the energy storage device use information acquisition module comprises the following steps:
setting the duration of a monitoring period, and setting each sampling time period in the monitoring period according to a preset equal time interval principle;
dividing the target area according to a preset principle to obtain each subarea of the target area, and further obtaining an energy storage device of each subarea of the target area;
acquiring the energy storage cycle times of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and recording the energy storage cycle times as，/>Indicate->Number of the individual sampling periods, +.>，/>Indicating the target area->The number of the sub-region is defined,；
acquiring average stored electric quantity of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and recording the average stored electric quantity as；
The specific analysis process of the energy storage device usage information acquisition module further comprises the following steps:
the method comprises the steps of acquiring the period from storage to release of electric energy of the energy storage device in each subarea of the target area of each sampling time period in a monitoring period, recording the period as the power generation period of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, further acquiring the average power generation period of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and recording the average power generation period as；
Acquiring the electric quantity injected into a power grid by the energy storage device in each subarea of the target area of each sampling time period in each energy storage cycle in the monitoring period, recording the electric quantity as the integrated power grid electric quantity of the energy storage device in each subarea of the target area of each sampling time period in each energy storage cycle in the monitoring period, further acquiring the average integrated power grid electric quantity of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and recording the average integrated power grid electric quantity as the integrated power grid electric quantity；
The specific analysis process of the energy storage device using the demand coefficient analysis module comprises the following steps:
by analysis of formulasObtaining the output of the energy storage device in each subarea of the target area of each sampling time period in the monitoring periodForce level coefficient->Wherein->Weight values respectively representing preset energy storage cycle times, average storage electric quantity, average power generation period and average integrated power grid electric quantity, +.>Indicating the influence factor corresponding to the preset single energy storage cycle,/->Representing a preset stored-power threshold value of the energy storage device, < >>Representing natural constant->Representing a preset power generation cycle threshold value of the energy storage device, < ->Representing a preset integrated power grid power threshold of the energy storage device;
the specific analysis process of the energy storage device using the demand coefficient analysis module further comprises the following steps:
the population number, the enterprise number and the region area of each subarea of the target region are obtained and respectively recorded asBy analysis formula->Obtaining the electricity demand influence factor of each subarea of the target area>WhereinThreshold values respectively representing the preset population number, the enterprise number and the region area;
by analysis of formulasObtaining the use demand coefficient of the energy storage device in each subarea of the target area>Wherein->Correction factor representing preset user demand factor, < ->Represents the number of sampling periods, +.>Representing the number of subregions of the target region, +.>Indicating the%>Sample time period target region +.>The output level coefficient of the energy storage device in the individual sub-regions;
the specific analysis process of the energy storage device running state evaluation module comprises the following steps:
by analysis of formulasObtaining the operating state evaluation coefficient of the energy storage device in each subarea of the target area>Wherein->Indicating a preset operating parameter compliance index threshold, +.>Indicating the%>Sample time period target region +.>Operating parameter of the energy storage device in the sub-region meets the standard index +.>And the index of the operating parameter standard of the energy storage device in each subarea of the target area in each sampling time period in the monitoring period is represented.
2. The distributed energy storage device-based operational state analysis system of claim 1, wherein: the specific analysis process of the energy storage device operation parameter acquisition module comprises the following steps:
acquiring the charge electric quantity, the charge required time length, the discharge electric quantity and the discharge required time length of the energy storage device in each energy storage cycle of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period, and respectively recording the charge electric quantity, the charge required time length, the discharge electric quantity and the discharge required time length as，/>Indicate->Number of secondary energy storage cycle,/->；
By analysis of formulasObtaining the average power output of the energy storage device in each sub-area of the target area of each sampling period in the monitoring period>Wherein->Indicating the average power output correction factor of the preset energy storage device,/->Representing the number of energy storage cycles;
acquiring the electric quantity acquired from a power supply when the energy storage device is charged and the electric quantity released to a load when the energy storage device is discharged in each energy storage cycle in each subarea of each sampling time period target area in a monitoring period, and respectively recording the electric quantity as；
By analysis of formulasObtaining the charge and discharge efficiency of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period>Wherein->And representing a preset charge and discharge efficiency correction factor of the energy storage device.
3. The distributed energy storage device-based operational state analysis system of claim 2, wherein: the specific analysis process of the energy storage device operation parameter acquisition module further comprises the following steps:
obtaining the highest surface temperature of the energy storage device in each sub-area of the target area of each sampling time period in the monitoring period in each energy storage cycle, further obtaining the working temperature of the energy storage device in each sub-area of the target area of each sampling time period in the monitoring period, and recording the working temperature as；
Acquiring a charging current characteristic curve, a charging voltage characteristic curve, a discharging current characteristic curve and a discharging voltage characteristic curve of an energy storage device in each energy storage cycle of the energy storage device in each subarea of a target area of each sampling time period in a monitoring period;
extracting a reference charging current characteristic curve, a reference charging voltage characteristic curve, a reference discharging current characteristic curve and a reference discharging voltage characteristic curve of the energy storage device stored in the database;
comparing the charging current characteristic curve of the energy storage device in each sub-area of the target area of each sampling period in the monitoring period with the reference charging current characteristic curve to obtain the similarity of the charging current characteristic curve of the energy storage device in each sub-area of the target area of each sampling period in the monitoring period with the reference charging current characteristic curve, and recording the similarity as the charging current coincidence degree of the energy storage device in each sub-area of the target area of each sampling period in the monitoring period and representing the similarity as；
Similarly, according to the analysis method of the charging current coincidence degree of the energy storage device in each sub-area of the target area of each sampling time period in each energy storage cycle in the monitoring period, the charging voltage coincidence degree and the discharging current coincidence degree of the energy storage device in each energy storage cycle of the energy storage device in each sub-area of the target area of each sampling time period in the monitoring period are obtainedThe coincidence degree and the discharge voltage coincidence degree are respectively recorded as；
By analysis of formulasObtaining the stability coefficient of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period>，/>And respectively representing preset thresholds of the charging current conformity, the charging voltage conformity, the discharging current conformity and the discharging voltage conformity.
4. A distributed energy storage device based operational state analysis system according to claim 3, wherein: the specific analysis process of the energy storage device running state evaluation module comprises the following steps:
by analysis of formulasObtaining the operating parameter standard index of the energy storage device in each subarea of the target area of each sampling time period in the monitoring period>Wherein->Threshold values respectively representing preset average power output, charge-discharge efficiency, operating temperature and stability coefficient, +.>Respectively representing preset weight values of average power output, charge-discharge efficiency, working temperature and stability coefficient.
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