CN116722571A - Energy storage management method, system and medium based on digital twin - Google Patents
Energy storage management method, system and medium based on digital twin Download PDFInfo
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- CN116722571A CN116722571A CN202310976868.4A CN202310976868A CN116722571A CN 116722571 A CN116722571 A CN 116722571A CN 202310976868 A CN202310976868 A CN 202310976868A CN 116722571 A CN116722571 A CN 116722571A
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- 238000004146 energy storage Methods 0.000 title claims abstract description 440
- 238000007726 management method Methods 0.000 title claims abstract description 34
- 238000012544 monitoring process Methods 0.000 claims abstract description 124
- 238000004458 analytical method Methods 0.000 claims abstract description 78
- 238000012423 maintenance Methods 0.000 claims abstract description 14
- 238000012098 association analyses Methods 0.000 claims abstract description 13
- 230000008901 benefit Effects 0.000 claims description 57
- 238000004088 simulation Methods 0.000 claims description 50
- 238000007599 discharging Methods 0.000 claims description 46
- 238000004364 calculation method Methods 0.000 claims description 44
- 230000008859 change Effects 0.000 claims description 42
- 238000000034 method Methods 0.000 claims description 33
- 238000005457 optimization Methods 0.000 claims description 22
- 230000007613 environmental effect Effects 0.000 claims description 18
- 238000013433 optimization analysis Methods 0.000 claims description 14
- 230000008569 process Effects 0.000 claims description 14
- 230000008520 organization Effects 0.000 claims description 10
- 230000004927 fusion Effects 0.000 claims description 8
- 238000011156 evaluation Methods 0.000 abstract description 6
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- 238000012417 linear regression Methods 0.000 description 2
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- 230000001105 regulatory effect Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 229910001416 lithium ion Inorganic materials 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
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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]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- 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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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
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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
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- 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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Abstract
The invention discloses an energy storage management method, system and medium based on digital twin, which are characterized in that an energy storage model based on digital twin is further constructed by carrying out real-time monitoring on an energy storage battery and carrying out data association analysis based on monitoring data and corresponding battery operation states, monitoring data to be analyzed are obtained in real time and are imported into the energy storage model to carry out battery energy storage evaluation, an energy storage battery optimal regulation scheme and an operation and maintenance plan are generated based on evaluation data, and the energy storage battery optimal regulation scheme and the operation and maintenance plan are sent to preset terminal equipment to be displayed. The invention can carry out informatization management and analysis on the energy storage battery, and further improves the management efficiency and the safety of the energy storage battery.
Description
Technical Field
The invention relates to the field of energy storage management, in particular to an energy storage management method, system and medium based on digital twinning.
Background
At present, the life development is not separated from the electricity, and the energy storage of the electricity plays a key role in the operation of a power grid, such as energy storage batteries with large capacity and high endurance are needed for household electricity and outdoor electricity. For energy storage batteries, too high or too low a temperature can affect the performance of the energy storage lithium ion battery, and the service life of the battery can be seriously and even shortened.
The prior energy storage battery is difficult to operate efficiently, safely and stably due to the traditional technology, and is difficult to analyze and regulate a battery scheme in the analysis of the energy storage battery, so that the operation efficiency of the energy storage battery is low, and the development of green electric energy is not facilitated. Therefore, there is a need for an efficient and safe energy storage management method.
Disclosure of Invention
The invention overcomes the defects of the prior art and provides an energy storage management method, system and medium based on digital twinning.
The first aspect of the invention provides an energy storage management method based on digital twinning, which comprises the following steps:
acquiring historical operating environment and historical charge and discharge data of a target energy storage battery;
performing data association analysis of the environment and the energy storage battery based on the historical operating environment and the historical charge and discharge data, obtaining association data, and constructing an energy storage model based on digital twinning according to the association data;
monitoring and acquiring charge and discharge monitoring data and battery environment monitoring data of a plurality of battery packs in a target energy storage battery in real time;
importing the charge and discharge monitoring data and the battery environment monitoring data into an energy storage model to perform energy storage simulation, and performing continuous operation simulation analysis on the battery based on current electric energy demand data to obtain energy storage battery simulation operation data;
And carrying out energy storage benefit calculation according to the simulated operation data of the energy storage battery, and carrying out environment and charge and discharge optimization analysis on the energy storage battery based on a calculation result to obtain an energy storage battery optimization regulation scheme.
In this scheme, obtain the historical operational environment and the historical charge-discharge data of target energy storage battery, specifically be:
counting the external environment data and the internal environment data of the target energy storage battery in a preset historical time, and integrating the external environment data and the internal environment data to obtain a historical operation environment;
and counting the power, voltage and current information of charging and discharging of the energy storage battery in a preset historical time to obtain historical charging and discharging data.
In this scheme, the data association analysis of the environment and the energy storage battery is performed based on the historical operating environment and the historical charging and discharging data, association data is obtained, and an energy storage model based on digital twin is constructed according to the association data, specifically:
based on the time dimension, carrying out change analysis on external environment data on the historical operating environment to obtain external environment change information;
based on the time dimension, carrying out change analysis on internal environment data of the historical operating environment to obtain internal environment change information of the energy storage battery;
Carrying out power fluctuation analysis and energy storage efficiency analysis based on charge and discharge on the historical charge and discharge numbers to obtain charge and discharge power fluctuation information of the energy storage battery and charge and discharge efficiency fluctuation information of the energy storage battery;
carrying out environment and energy storage association influence analysis of a plurality of time nodes on external environment change information, internal environment change information, energy storage battery charge and discharge power fluctuation information and energy storage battery charge and discharge efficiency fluctuation information, and recording corresponding influence factors and influence relations to obtain association data;
constructing a digital twin-based basic model frame according to data organization information of a target energy storage battery;
and importing the associated data, the historical operating environment and the historical charge and discharge data into a basic model framework and forming an energy storage model.
In this scheme, charge and discharge monitoring data and battery environment monitoring data of a plurality of group batteries in the target energy storage battery are monitored and obtained in real time, specifically:
the method comprises the steps of performing grouping monitoring on target energy storage batteries, and acquiring current, voltage and power data of charging and discharging in a plurality of battery packs in real time;
carrying out data fusion on the current, voltage and power data of charge and discharge in the plurality of battery packs and forming charge and discharge monitoring data;
Monitoring environmental data of a place where a target energy storage battery is located in real time, and obtaining external monitoring environmental data;
monitoring environment data inside a plurality of battery packs in a target energy storage battery in real time, and obtaining the internal monitoring environment data;
and integrating the external monitoring environment data with the internal monitoring environment data to obtain battery environment monitoring data.
In this scheme, will charge and discharge monitoring data and battery environment monitoring data import energy storage model carry out the energy storage simulation to carry out battery continuous operation simulation analysis based on current electric energy demand data, obtain energy storage battery simulation operation data, specifically do:
performing charging and discharging demand analysis of the energy storage battery based on the current electric energy demand data to obtain charging plan information and discharging plan information;
the charge and discharge monitoring data and the battery environment monitoring data are imported into an energy storage model, and the target energy storage battery is visually monitored through the energy storage model;
importing charging plan information and discharging plan information into an energy storage model, and performing grouping energy storage operation simulation based on a plurality of battery packs in a target energy storage battery to obtain a plurality of battery pack simulation operation data;
performing charge-discharge power analysis and charge-discharge efficiency calculation according to the simulated operation data of each battery pack to obtain charge-discharge power characteristics and charge-discharge efficiency of each battery pack;
And integrating the simulated operation data, the charge and discharge power characteristics and the charge and discharge efficiency of all the battery packs to obtain the simulated operation data of the energy storage battery.
In this scheme, carry out energy storage benefit calculation according to energy storage battery simulated operation data to carry out environment and charge-discharge optimization analysis to energy storage battery based on the calculation result, obtain energy storage battery optimization regulation and control scheme, specifically do:
according to the simulated operation data of the energy storage battery, charging benefit calculation is carried out on the charging and discharging power characteristics and the charging and discharging efficiency of each battery pack, and an operation benefit index of each battery pack is obtained;
judging the operation benefit index of each battery pack, and marking the battery packs with the operation benefit index lower than a preset index as low-efficiency battery packs;
performing environment regulation analysis and real-time regulation analysis based on current, voltage and power based on simulated operation data, charge and discharge power characteristics and charge and discharge efficiency of the low-efficiency battery packs to obtain an internal environment regulation scheme and an energy storage battery regulation scheme of each low-efficiency battery pack;
carrying out scheme fusion analysis on internal environment regulation schemes of all the low-efficiency battery packs, and obtaining a plurality of optimized internal environment regulation schemes;
combining a plurality of preferred internal environment modulation schemes with the energy storage battery modulation scheme to form a plurality of combined modulation schemes;
Introducing a plurality of combined regulation and control schemes into an energy storage model, carrying out simulated operation of an energy storage battery based on each battery pack, and calculating an average operation benefit index of the combined regulation and control schemes through a simulated operation process;
and comparing the operation benefit indexes, and taking the combined regulation and control scheme corresponding to the highest average operation benefit index as an energy storage battery optimization regulation and control scheme.
In this scheme, carry out energy storage benefit calculation according to energy storage battery simulated operation data to carry out environment and charge-discharge optimization analysis, obtain energy storage battery optimization regulation and control scheme to energy storage battery based on calculation result, still include:
performing real-time regulation and control on the target energy storage battery according to the energy storage battery optimization regulation and control scheme, and acquiring internal environment data and monitoring data of the energy storage battery in real time;
the internal environment data of the energy storage battery and the monitoring data of the energy storage battery are imported into an energy storage model in real time, and the energy storage battery is monitored visually;
leading current electric energy demand data into an energy storage model, taking the electric energy demand as a first target, performing pressure analysis on each battery pack in the energy storage battery, and obtaining the pressure condition of the battery pack;
a battery operation and maintenance plan based on the plurality of battery packs is generated based on the battery pack pressure conditions.
The second aspect of the present invention also provides a digital twin-based energy storage management system, comprising: the energy storage management program based on digital twinning is contained in the memory, and when being executed by the processor, the energy storage management program based on digital twinning realizes the following steps:
acquiring historical operating environment and historical charge and discharge data of a target energy storage battery;
performing data association analysis of the environment and the energy storage battery based on the historical operating environment and the historical charge and discharge data, obtaining association data, and constructing an energy storage model based on digital twinning according to the association data;
monitoring and acquiring charge and discharge monitoring data and battery environment monitoring data of a plurality of battery packs in a target energy storage battery in real time;
importing the charge and discharge monitoring data and the battery environment monitoring data into an energy storage model to perform energy storage simulation, and performing continuous operation simulation analysis on the battery based on current electric energy demand data to obtain energy storage battery simulation operation data;
and carrying out energy storage benefit calculation according to the simulated operation data of the energy storage battery, and carrying out environment and charge and discharge optimization analysis on the energy storage battery based on a calculation result to obtain an energy storage battery optimization regulation scheme.
In this scheme, obtain the historical operational environment and the historical charge-discharge data of target energy storage battery, specifically be:
counting the external environment data and the internal environment data of the target energy storage battery in a preset historical time, and integrating the external environment data and the internal environment data to obtain a historical operation environment;
and counting the power, voltage and current information of charging and discharging of the energy storage battery in a preset historical time to obtain historical charging and discharging data.
The third aspect of the present invention also provides a computer readable storage medium, comprising a digital twin based energy storage management program, which when executed by a processor, implements the steps of the digital twin based energy storage management method as described in any of the above.
The invention discloses an energy storage management method, system and medium based on digital twin, which are characterized in that an energy storage model based on digital twin is further constructed by carrying out real-time monitoring on an energy storage battery and carrying out data association analysis based on monitoring data and corresponding battery operation states, monitoring data to be analyzed are obtained in real time and are imported into the energy storage model to carry out battery energy storage evaluation, an energy storage battery optimal regulation scheme and an operation and maintenance plan are generated based on evaluation data, and the energy storage battery optimal regulation scheme and the operation and maintenance plan are sent to preset terminal equipment to be displayed. The invention can carry out informatization management and analysis on the energy storage battery, and further improves the management efficiency and the safety of the energy storage battery.
Drawings
FIG. 1 shows a flow chart of a digital twinning-based energy storage management method of the present application;
FIG. 2 shows a flow chart of historical charge and discharge data acquisition of the present application;
FIG. 3 shows a flow chart of the energy storage model construction of the present application;
fig. 4 shows a block diagram of a digital twinning-based energy storage management system of the present application.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, however, the present application may be practiced in other ways than those described herein, and therefore the scope of the present application is not limited to the specific embodiments disclosed below.
Fig. 1 shows a flow chart of a digital twin-based energy storage management method of the present application.
As shown in fig. 1, a first aspect of the present application provides a digital twin-based energy storage management method, including:
s102, acquiring historical operating environment and historical charge and discharge data of a target energy storage battery;
S104, carrying out data association analysis on the environment and the energy storage battery based on the historical operation environment and the historical charge and discharge data, obtaining association data, and constructing an energy storage model based on digital twin according to the association data;
s106, monitoring and acquiring charge and discharge monitoring data and battery environment monitoring data of a plurality of battery packs in the target energy storage battery in real time;
s108, importing the charge and discharge monitoring data and the battery environment monitoring data into an energy storage model to perform energy storage simulation, and performing continuous operation simulation analysis on the battery based on the current electric energy demand data to obtain energy storage battery simulation operation data;
and S110, performing energy storage benefit calculation according to the simulated operation data of the energy storage battery, and performing environment and charge and discharge optimization analysis on the energy storage battery based on a calculation result to obtain an energy storage battery optimization regulation scheme.
It should be noted that the target energy storage battery generally includes a plurality of battery packs. For example, in a container energy storage battery, the container energy storage battery comprises a plurality of independent battery packs, and each battery pack can be used for performing independent electric energy monitoring and internal environment monitoring.
Fig. 2 shows a flow chart of historical charge and discharge data acquisition of the present invention.
According to the embodiment of the invention, the method for acquiring the historical operating environment and the historical charge and discharge data of the target energy storage battery specifically comprises the following steps:
S202, counting external environment data and internal environment data of a target energy storage battery in a preset historical time, and integrating the external environment data and the internal environment data to obtain a historical operation environment;
and S204, counting the power, voltage and current information of the charge and discharge of the energy storage battery in a preset historical time to obtain historical charge and discharge data.
The target energy storage battery comprises a container type energy storage battery, a portable energy storage battery, a station house type energy storage battery and the like. The external environment data and the internal environment data specifically refer to the place environment and the internal environment data of the energy storage battery, for example, in the container type energy storage battery, the external environment data comprise weather, humidity, air quality, air temperature, ground temperature and other data of the place of the energy storage battery, and the internal environment data refer to temperature, humidity and other data of each battery pack in the container. The target energy storage battery comprises a plurality of battery packs, each battery pack can be independently monitored, and independent internal environment monitoring data and charging and discharging data can be obtained for subsequent fine analysis of the target energy storage battery.
Fig. 3 shows a flow chart of the energy storage model construction of the present invention.
According to the embodiment of the invention, the data association analysis of the environment and the energy storage battery is performed based on the historical operating environment and the historical charge and discharge data, the association data is obtained, and the energy storage model based on digital twin is constructed according to the association data, specifically:
s302, based on the time dimension, carrying out change analysis on external environment data on the historical operation environment to obtain external environment change information;
s304, based on the time dimension, carrying out change analysis on the internal environment data of the historical operation environment to obtain the internal environment change information of the energy storage battery;
s306, carrying out charge and discharge-based power fluctuation analysis and energy storage efficiency analysis on the historical charge and discharge numbers to obtain charge and discharge power fluctuation information of the energy storage battery and charge and discharge efficiency fluctuation information of the energy storage battery;
s308, carrying out environment and energy storage association influence analysis of a plurality of time nodes on external environment change information, internal environment change information, energy storage battery charge and discharge power fluctuation information and energy storage battery charge and discharge efficiency fluctuation information, and recording corresponding influence factors and influence relations to obtain association data;
s310, constructing a digital twin-based basic model frame according to data organization information of a target energy storage battery;
S312, the associated data, the historical operating environment and the historical charge and discharge data are imported into the basic model framework to form an energy storage model.
In the data organization information according to the target energy storage battery, the data organization information includes information such as a type and a kind of environmental data, a type and a kind of charge and discharge data of the target energy storage battery, a basic model frame can be established through the data organization information, and the basic model frame is further established into an energy storage model with functions of prediction, visualization, monitoring analysis and the like based on entity data such as associated data, historical operation environments, historical charge and discharge data and the like. The energy storage model is combined with various deep learning algorithms through digital modeling to form the energy storage model with a simulation prediction function, and the various deep learning algorithms comprise model algorithms such as linear regression, CNN, GAN and the like.
According to the embodiment of the invention, the charge and discharge monitoring data and the battery environment monitoring data of a plurality of battery packs in the target energy storage battery are monitored and acquired in real time, and the method specifically comprises the following steps:
the method comprises the steps of performing grouping monitoring on target energy storage batteries, and acquiring current, voltage and power data of charging and discharging in a plurality of battery packs in real time;
Carrying out data fusion on the current, voltage and power data of charge and discharge in the plurality of battery packs and forming charge and discharge monitoring data;
monitoring environmental data of a place where a target energy storage battery is located in real time, and obtaining external monitoring environmental data;
monitoring environment data inside a plurality of battery packs in a target energy storage battery in real time, and obtaining the internal monitoring environment data;
and integrating the external monitoring environment data with the internal monitoring environment data to obtain battery environment monitoring data.
According to the embodiment of the invention, the charge and discharge monitoring data and the battery environment monitoring data are imported into an energy storage model for energy storage simulation, and the continuous operation simulation analysis of the battery is performed based on the current electric energy demand data to obtain the simulated operation data of the energy storage battery, specifically:
performing charging and discharging demand analysis of the energy storage battery based on the current electric energy demand data to obtain charging plan information and discharging plan information;
the charge and discharge monitoring data and the battery environment monitoring data are imported into an energy storage model, and the target energy storage battery is visually monitored through the energy storage model;
importing charging plan information and discharging plan information into an energy storage model, and performing grouping energy storage operation simulation based on a plurality of battery packs in a target energy storage battery to obtain a plurality of battery pack simulation operation data;
Performing charge-discharge power analysis and charge-discharge efficiency calculation according to the simulated operation data of each battery pack to obtain charge-discharge power characteristics and charge-discharge efficiency of each battery pack;
and integrating the simulated operation data, the charge and discharge power characteristics and the charge and discharge efficiency of all the battery packs to obtain the simulated operation data of the energy storage battery.
The charge schedule information includes calculation information such as a charge time, a charge amount, and a charge power, and the discharge schedule information includes calculation information such as a discharge time, a discharge amount, and a discharge power. The battery pack simulation operation data specifically is prediction simulation data of the battery pack in the process of planning operation, and the prediction simulation data comprise voltage, current, power and the like of the battery pack in the process of operation.
The charging and discharging power characteristics specifically reflect the charging and discharging power fluctuation characteristics of each battery pack, and the battery performance, the internal environment, the real-time electric quantity reserve capacity and the like of each battery pack are different, so that the corresponding charging and discharging power characteristics and the charging and discharging efficiencies are different. The charge and discharge efficiency is the benefit reflecting the charge and discharge performance of the battery pack, and the larger the efficiency is, the larger the charge and discharge efficiency and benefit of the corresponding battery pack are, and the higher the energy utilization rate is.
According to the embodiment of the invention, the energy storage benefit calculation is performed according to the simulated operation data of the energy storage battery, and the environment and charge and discharge optimization analysis is performed on the energy storage battery based on the calculation result, so as to obtain an energy storage battery optimization regulation scheme, which specifically comprises the following steps:
according to the simulated operation data of the energy storage battery, charging benefit calculation is carried out on the charging and discharging power characteristics and the charging and discharging efficiency of each battery pack, and an operation benefit index of each battery pack is obtained;
judging the operation benefit index of each battery pack, and marking the battery packs with the operation benefit index lower than a preset index as low-efficiency battery packs;
performing environment regulation analysis and real-time regulation analysis based on current, voltage and power based on simulated operation data, charge and discharge power characteristics and charge and discharge efficiency of the low-efficiency battery packs to obtain an internal environment regulation scheme and an energy storage battery regulation scheme of each low-efficiency battery pack;
carrying out scheme fusion analysis on internal environment regulation schemes of all the low-efficiency battery packs, and obtaining a plurality of optimized internal environment regulation schemes;
combining a plurality of preferred internal environment modulation schemes with the energy storage battery modulation scheme to form a plurality of combined modulation schemes;
introducing a plurality of combined regulation and control schemes into an energy storage model, carrying out simulated operation of an energy storage battery based on each battery pack, and calculating an average operation benefit index of the combined regulation and control schemes through a simulated operation process;
And comparing the operation benefit indexes, and taking the combined regulation and control scheme corresponding to the highest average operation benefit index as an energy storage battery optimization regulation and control scheme.
The operation benefit index is specifically a comprehensive reflection of the performance index and conversion efficiency when the battery pack is operated, and the higher the operation benefit index is, the higher the operation efficiency of the current battery pack is, the more stable the performance of the battery is, and the higher the corresponding energy utilization rate is. Each low-efficiency battery pack corresponds to an internal environment regulation scheme and an energy storage battery regulation scheme, and the internal environment regulation schemes obtained by different battery packs are different due to different characteristics of each battery pack. It is worth mentioning that, because the energy storage battery is the combination of a plurality of battery packs, therefore, the whole internal environment regulation scheme of an energy storage battery is finally needed to be formed. In addition, the energy storage battery regulation scheme is a fixed scheme, and a plurality of internal environment regulation schemes are preferred, so that free combination analysis can be performed.
In addition, the energy storage model is a model based on digital twinning, when a plurality of combined regulation and control schemes are led into the energy storage model, the energy storage model can simulate the operation of the energy storage battery for each scheme, simulated operation data can be obtained in the process of simulated operation, further the operation benefit index of the battery pack in the process of simulated operation can be calculated, and finally the average operation benefit index is calculated based on the number of the battery packs. Each combined regulation corresponds to an average running benefit index.
According to the embodiment of the invention, the energy storage benefit calculation is performed according to the simulated operation data of the energy storage battery, and the environment and charge and discharge optimization analysis is performed on the energy storage battery based on the calculation result to obtain the energy storage battery optimization regulation scheme, and the method further comprises the following steps:
performing real-time regulation and control on the target energy storage battery according to the energy storage battery optimization regulation and control scheme, and acquiring internal environment data and monitoring data of the energy storage battery in real time;
the internal environment data of the energy storage battery and the monitoring data of the energy storage battery are imported into an energy storage model in real time, and the energy storage battery is monitored visually;
leading current electric energy demand data into an energy storage model, taking the electric energy demand as a first target, performing pressure analysis on each battery pack in the energy storage battery, and obtaining the pressure condition of the battery pack;
A battery operation and maintenance plan based on the plurality of battery packs is generated based on the battery pack pressure conditions.
It should be noted that the energy storage battery monitoring data includes real-time data of current, voltage and power in all battery packs. The battery operation and maintenance plan includes an operation and maintenance scheme of a plurality of battery packs, wherein the scheme includes periodic inspection, accessory replacement and the like of the battery packs in a high-pressure condition.
According to an embodiment of the present invention, further comprising:
acquiring transportation scheme information of an energy storage battery;
acquiring environmental data of a transportation route based on the transportation scheme information;
carrying out multi-path segment change analysis based on the position between the starting point and the end point according to the environment data to obtain environment change information of a plurality of road segments;
acquiring transportation environment standard information;
performing internal environment safety regulation analysis of the energy storage battery based on the road section environment change information and the transportation environment standard information to obtain a plurality of internal environment regulation schemes;
acquiring real-time map data of a transportation route based on the Internet, and analyzing the road condition of the transportation route according to the real-time map data to obtain transportation road condition information;
calculating route vibration influence indexes of a plurality of road sections based on traffic road condition information, performing energy storage battery safety temperature regulation and control calculation based on the route vibration influence indexes, and obtaining a plurality of regulation and control temperature parameters corresponding to the road sections;
Selecting a regulation temperature parameter and an internal environment regulation scheme in a road section, and correcting the internal environment regulation scheme based on the regulation temperature parameter to obtain a second internal environment regulation scheme;
and calculating and analyzing a second internal environment regulation scheme of all road sections, and regulating and controlling the internal environment of the energy storage battery based on the second internal environment regulation scheme.
The route vibration influence index is specifically the overall bump condition of the vehicle reflected in transportation, and the transportation scheme information comprises information such as a starting point, a destination point, a transportation route, a plurality of transportation road sections and the like.
It is worth mentioning that in some large-scale energy storage battery transportation, for example, in container type energy storage battery, it often can cause inside battery to appear different degree damage because of road conditions are not good or outside environment temperature changes in long-distance transportation, therefore, the invention is through the environmental change analysis to energy storage battery transportation route, the road section environmental change information of a plurality of road sections is generated based on the change, and then realize the external environment change analysis and the subsequent regulation and control of refinement to whole transportation route, road section environmental change information mainly includes weather, humidity, air quality, temperature etc. change information, inside environment regulation and control scheme mainly includes regulation and control of temperature and humidity, thereby let energy storage battery reach transportation environment standard through regulation and control scheme. In addition, in the transportation process, the vibration and jolt conditions of the route are analyzed, so that corresponding regulation and control temperature parameters are analyzed, the internal temperature environment of the energy storage battery can be reasonably controlled, the activity of chemical substances in the energy storage battery is further reduced, and the transportation safety is improved.
According to an embodiment of the present invention, further comprising:
detecting and acquiring charge and discharge monitoring data of each battery pack in the target energy storage battery in a monitoring period;
the charge and discharge monitoring data of each battery pack are imported into an energy storage model for data calculation and analysis, and charge and discharge power characteristics and charge and discharge efficiency of each battery pack are obtained;
acquiring the total working time and the maximum continuous working time of each battery pack;
estimating the service life of each battery pack based on the total working time, the maximum continuous working time, the charge-discharge power characteristic and the charge-discharge efficiency of each battery pack, and obtaining estimated service life information of each battery pack;
based on the estimated life information of each battery pack, carrying out battery pressure analysis and power pressure distribution in the next period, and obtaining an electric energy power distribution scheme corresponding to each battery pack;
and importing the electric energy power distribution scheme into an energy storage model for simulation operation, analyzing the obtained simulation operation data, judging whether the energy storage battery stably operates or not based on the simulation operation data, and if so, transmitting the electric energy power distribution scheme to preset terminal equipment.
The method for judging whether the energy storage battery stably operates is specifically to judge whether the data of current, voltage, power and the like monitored in real time of each battery pack exceeds a threshold value, and if so, judging that the energy storage battery is unstable. The preset terminal equipment is specifically user terminal equipment and can be used for displaying scheme information. According to the invention, the service life of each battery pack in the energy storage battery is estimated, electric power and pressure are further distributed based on service life information, and finally, the distribution scheme is simulated through the energy storage model to judge the feasibility of the scheme, so that the safe operation of the energy storage battery and the accurate analysis of the scheme are realized.
Fig. 4 shows a block diagram of a digital twinning-based energy storage management system of the present invention.
The second aspect of the present invention also provides a digital twinning-based energy storage management system 4, comprising: a memory 41, a processor 42, wherein the memory includes a digital twin based energy storage management program, and the digital twin based energy storage management program realizes the following steps when executed by the processor:
acquiring historical operating environment and historical charge and discharge data of a target energy storage battery;
performing data association analysis of the environment and the energy storage battery based on the historical operating environment and the historical charge and discharge data, obtaining association data, and constructing an energy storage model based on digital twinning according to the association data;
monitoring and acquiring charge and discharge monitoring data and battery environment monitoring data of a plurality of battery packs in a target energy storage battery in real time;
importing the charge and discharge monitoring data and the battery environment monitoring data into an energy storage model to perform energy storage simulation, and performing continuous operation simulation analysis on the battery based on current electric energy demand data to obtain energy storage battery simulation operation data;
and carrying out energy storage benefit calculation according to the simulated operation data of the energy storage battery, and carrying out environment and charge and discharge optimization analysis on the energy storage battery based on a calculation result to obtain an energy storage battery optimization regulation scheme.
It should be noted that the target energy storage battery generally includes a plurality of battery packs. For example, in a container energy storage battery, the container energy storage battery comprises a plurality of independent battery packs, and each battery pack can be used for performing independent electric energy monitoring and internal environment monitoring.
According to the embodiment of the invention, the method for acquiring the historical operating environment and the historical charge and discharge data of the target energy storage battery specifically comprises the following steps:
counting the external environment data and the internal environment data of the target energy storage battery in a preset historical time, and integrating the external environment data and the internal environment data to obtain a historical operation environment;
and counting the power, voltage and current information of charging and discharging of the energy storage battery in a preset historical time to obtain historical charging and discharging data.
The target energy storage battery comprises a container type energy storage battery, a portable energy storage battery, a station house type energy storage battery and the like. The external environment data and the internal environment data specifically refer to the place environment and the internal environment data of the energy storage battery, for example, in the container type energy storage battery, the external environment data comprise weather, humidity, air quality, air temperature, ground temperature and other data of the place of the energy storage battery, and the internal environment data refer to temperature, humidity and other data of each battery pack in the container. The target energy storage battery comprises a plurality of battery packs, each battery pack can be independently monitored, and independent internal environment monitoring data and charging and discharging data can be obtained for subsequent fine analysis of the target energy storage battery.
According to the embodiment of the invention, the data association analysis of the environment and the energy storage battery is performed based on the historical operating environment and the historical charge and discharge data, the association data is obtained, and the energy storage model based on digital twin is constructed according to the association data, specifically:
based on the time dimension, carrying out change analysis on external environment data on the historical operating environment to obtain external environment change information;
based on the time dimension, carrying out change analysis on internal environment data of the historical operating environment to obtain internal environment change information of the energy storage battery;
carrying out power fluctuation analysis and energy storage efficiency analysis based on charge and discharge on the historical charge and discharge numbers to obtain charge and discharge power fluctuation information of the energy storage battery and charge and discharge efficiency fluctuation information of the energy storage battery;
carrying out environment and energy storage association influence analysis of a plurality of time nodes on external environment change information, internal environment change information, energy storage battery charge and discharge power fluctuation information and energy storage battery charge and discharge efficiency fluctuation information, and recording corresponding influence factors and influence relations to obtain association data;
constructing a digital twin-based basic model frame according to data organization information of a target energy storage battery;
And importing the associated data, the historical operating environment and the historical charge and discharge data into a basic model framework and forming an energy storage model.
In the data organization information according to the target energy storage battery, the data organization information includes information such as a type and a kind of environmental data, a type and a kind of charge and discharge data of the target energy storage battery, a basic model frame can be established through the data organization information, and the basic model frame is further established into an energy storage model with functions of prediction, visualization, monitoring analysis and the like based on entity data such as associated data, historical operation environments, historical charge and discharge data and the like. The energy storage model is combined with various deep learning algorithms through digital modeling to form the energy storage model with a simulation prediction function, and the various deep learning algorithms comprise model algorithms such as linear regression, CNN, GAN and the like.
According to the embodiment of the invention, the charge and discharge monitoring data and the battery environment monitoring data of a plurality of battery packs in the target energy storage battery are monitored and acquired in real time, and the method specifically comprises the following steps:
the method comprises the steps of performing grouping monitoring on target energy storage batteries, and acquiring current, voltage and power data of charging and discharging in a plurality of battery packs in real time;
Carrying out data fusion on the current, voltage and power data of charge and discharge in the plurality of battery packs and forming charge and discharge monitoring data;
monitoring environmental data of a place where a target energy storage battery is located in real time, and obtaining external monitoring environmental data;
monitoring environment data inside a plurality of battery packs in a target energy storage battery in real time, and obtaining the internal monitoring environment data;
and integrating the external monitoring environment data with the internal monitoring environment data to obtain battery environment monitoring data.
According to the embodiment of the invention, the charge and discharge monitoring data and the battery environment monitoring data are imported into an energy storage model for energy storage simulation, and the continuous operation simulation analysis of the battery is performed based on the current electric energy demand data to obtain the simulated operation data of the energy storage battery, specifically:
performing charging and discharging demand analysis of the energy storage battery based on the current electric energy demand data to obtain charging plan information and discharging plan information;
the charge and discharge monitoring data and the battery environment monitoring data are imported into an energy storage model, and the target energy storage battery is visually monitored through the energy storage model;
importing charging plan information and discharging plan information into an energy storage model, and performing grouping energy storage operation simulation based on a plurality of battery packs in a target energy storage battery to obtain a plurality of battery pack simulation operation data;
Performing charge-discharge power analysis and charge-discharge efficiency calculation according to the simulated operation data of each battery pack to obtain charge-discharge power characteristics and charge-discharge efficiency of each battery pack;
and integrating the simulated operation data, the charge and discharge power characteristics and the charge and discharge efficiency of all the battery packs to obtain the simulated operation data of the energy storage battery.
The charge schedule information includes calculation information such as a charge time, a charge amount, and a charge power, and the discharge schedule information includes calculation information such as a discharge time, a discharge amount, and a discharge power. The battery pack simulation operation data specifically is prediction simulation data of the battery pack in the process of planning operation, and the prediction simulation data comprise voltage, current, power and the like of the battery pack in the process of operation.
The charging and discharging power characteristics specifically reflect the charging and discharging power fluctuation characteristics of each battery pack, and the battery performance, the internal environment, the real-time electric quantity reserve capacity and the like of each battery pack are different, so that the corresponding charging and discharging power characteristics and the charging and discharging efficiencies are different. The charge and discharge efficiency is the benefit reflecting the charge and discharge performance of the battery pack, and the larger the efficiency is, the larger the charge and discharge efficiency and benefit of the corresponding battery pack are, and the higher the energy utilization rate is.
According to the embodiment of the invention, the energy storage benefit calculation is performed according to the simulated operation data of the energy storage battery, and the environment and charge and discharge optimization analysis is performed on the energy storage battery based on the calculation result, so as to obtain an energy storage battery optimization regulation scheme, which specifically comprises the following steps:
according to the simulated operation data of the energy storage battery, charging benefit calculation is carried out on the charging and discharging power characteristics and the charging and discharging efficiency of each battery pack, and an operation benefit index of each battery pack is obtained;
judging the operation benefit index of each battery pack, and marking the battery packs with the operation benefit index lower than a preset index as low-efficiency battery packs;
performing environment regulation analysis and real-time regulation analysis based on current, voltage and power based on simulated operation data, charge and discharge power characteristics and charge and discharge efficiency of the low-efficiency battery packs to obtain an internal environment regulation scheme and an energy storage battery regulation scheme of each low-efficiency battery pack;
carrying out scheme fusion analysis on internal environment regulation schemes of all the low-efficiency battery packs, and obtaining a plurality of optimized internal environment regulation schemes;
combining a plurality of preferred internal environment modulation schemes with the energy storage battery modulation scheme to form a plurality of combined modulation schemes;
introducing a plurality of combined regulation and control schemes into an energy storage model, carrying out simulated operation of an energy storage battery based on each battery pack, and calculating an average operation benefit index of the combined regulation and control schemes through a simulated operation process;
And comparing the operation benefit indexes, and taking the combined regulation and control scheme corresponding to the highest average operation benefit index as an energy storage battery optimization regulation and control scheme.
The operation benefit index is specifically a comprehensive reflection of the performance index and conversion efficiency when the battery pack is operated, and the higher the operation benefit index is, the higher the operation efficiency of the current battery pack is, the more stable the performance of the battery is, and the higher the corresponding energy utilization rate is. Each low-efficiency battery pack corresponds to an internal environment regulation scheme and an energy storage battery regulation scheme, and the internal environment regulation schemes obtained by different battery packs are different due to different characteristics of each battery pack. It is worth mentioning that, because the energy storage battery is the combination of a plurality of battery packs, therefore, the whole internal environment regulation scheme of an energy storage battery is finally needed to be formed. In addition, the energy storage battery regulation scheme is a fixed scheme, and a plurality of internal environment regulation schemes are preferred, so that free combination analysis can be performed.
In addition, the energy storage model is a model based on digital twinning, when a plurality of combined regulation and control schemes are led into the energy storage model, the energy storage model can simulate the operation of the energy storage battery for each scheme, simulated operation data can be obtained in the process of simulated operation, further the operation benefit index of the battery pack in the process of simulated operation can be calculated, and finally the average operation benefit index is calculated based on the number of the battery packs. Each combined regulation corresponds to an average running benefit index.
According to the embodiment of the invention, the energy storage benefit calculation is performed according to the simulated operation data of the energy storage battery, and the environment and charge and discharge optimization analysis is performed on the energy storage battery based on the calculation result to obtain the energy storage battery optimization regulation scheme, and the method further comprises the following steps:
performing real-time regulation and control on the target energy storage battery according to the energy storage battery optimization regulation and control scheme, and acquiring internal environment data and monitoring data of the energy storage battery in real time;
the internal environment data of the energy storage battery and the monitoring data of the energy storage battery are imported into an energy storage model in real time, and the energy storage battery is monitored visually;
leading current electric energy demand data into an energy storage model, taking the electric energy demand as a first target, performing pressure analysis on each battery pack in the energy storage battery, and obtaining the pressure condition of the battery pack;
A battery operation and maintenance plan based on the plurality of battery packs is generated based on the battery pack pressure conditions.
It should be noted that the energy storage battery monitoring data includes real-time data of current, voltage and power in all battery packs. The battery operation and maintenance plan includes an operation and maintenance scheme of a plurality of battery packs, wherein the scheme includes periodic inspection, accessory replacement and the like of the battery packs in a high-pressure condition.
According to an embodiment of the present invention, further comprising:
acquiring transportation scheme information of an energy storage battery;
acquiring environmental data of a transportation route based on the transportation scheme information;
carrying out multi-path segment change analysis based on the position between the starting point and the end point according to the environment data to obtain environment change information of a plurality of road segments;
acquiring transportation environment standard information;
performing internal environment safety regulation analysis of the energy storage battery based on the road section environment change information and the transportation environment standard information to obtain a plurality of internal environment regulation schemes;
acquiring real-time map data of a transportation route based on the Internet, and analyzing the road condition of the transportation route according to the real-time map data to obtain transportation road condition information;
calculating route vibration influence indexes of a plurality of road sections based on traffic road condition information, performing energy storage battery safety temperature regulation and control calculation based on the route vibration influence indexes, and obtaining a plurality of regulation and control temperature parameters corresponding to the road sections;
Selecting a regulation temperature parameter and an internal environment regulation scheme in a road section, and correcting the internal environment regulation scheme based on the regulation temperature parameter to obtain a second internal environment regulation scheme;
and calculating and analyzing a second internal environment regulation scheme of all road sections, and regulating and controlling the internal environment of the energy storage battery based on the second internal environment regulation scheme.
The route vibration influence index is specifically the overall bump condition of the vehicle reflected in transportation, and the transportation scheme information comprises information such as a starting point, a destination point, a transportation route, a plurality of transportation road sections and the like.
It is worth mentioning that in some large-scale energy storage battery transportation, for example, in container type energy storage battery, it often can cause inside battery to appear different degree damage because of road conditions are not good or outside environment temperature changes in long-distance transportation, therefore, the invention is through the environmental change analysis to energy storage battery transportation route, the road section environmental change information of a plurality of road sections is generated based on the change, and then realize the external environment change analysis and the subsequent regulation and control of refinement to whole transportation route, road section environmental change information mainly includes weather, humidity, air quality, temperature etc. change information, inside environment regulation and control scheme mainly includes regulation and control of temperature and humidity, thereby let energy storage battery reach transportation environment standard through regulation and control scheme. In addition, in the transportation process, the vibration and jolt conditions of the route are analyzed, so that corresponding regulation and control temperature parameters are analyzed, the internal temperature environment of the energy storage battery can be reasonably controlled, the activity of chemical substances in the energy storage battery is further reduced, and the transportation safety is improved.
According to an embodiment of the present invention, further comprising:
detecting and acquiring charge and discharge monitoring data of each battery pack in the target energy storage battery in a monitoring period;
the charge and discharge monitoring data of each battery pack are imported into an energy storage model for data calculation and analysis, and charge and discharge power characteristics and charge and discharge efficiency of each battery pack are obtained;
acquiring the total working time and the maximum continuous working time of each battery pack;
estimating the service life of each battery pack based on the total working time, the maximum continuous working time, the charge-discharge power characteristic and the charge-discharge efficiency of each battery pack, and obtaining estimated service life information of each battery pack;
based on the estimated life information of each battery pack, carrying out battery pressure analysis and power pressure distribution in the next period, and obtaining an electric energy power distribution scheme corresponding to each battery pack;
and importing the electric energy power distribution scheme into an energy storage model for simulation operation, analyzing the obtained simulation operation data, judging whether the energy storage battery stably operates or not based on the simulation operation data, and if so, transmitting the electric energy power distribution scheme to preset terminal equipment.
The method for judging whether the energy storage battery stably operates is specifically to judge whether the data of current, voltage, power and the like monitored in real time of each battery pack exceeds a threshold value, and if so, judging that the energy storage battery is unstable. The preset terminal equipment is specifically user terminal equipment and can be used for displaying scheme information. According to the invention, the service life of each battery pack in the energy storage battery is estimated, electric power and pressure are further distributed based on service life information, and finally, the distribution scheme is simulated through the energy storage model to judge the feasibility of the scheme, so that the safe operation of the energy storage battery and the accurate analysis of the scheme are realized.
The third aspect of the present application also provides a computer readable storage medium, comprising a digital twin based energy storage management program, which when executed by a processor, implements the steps of the digital twin based energy storage management method as described in any of the above.
The application discloses an energy storage management method, system and medium based on digital twin, which are characterized in that an energy storage model based on digital twin is further constructed by carrying out real-time monitoring on an energy storage battery and carrying out data association analysis based on monitoring data and corresponding battery operation states, monitoring data to be analyzed are obtained in real time and are imported into the energy storage model to carry out battery energy storage evaluation, an energy storage battery optimal regulation scheme and an operation and maintenance plan are generated based on evaluation data, and the energy storage battery optimal regulation scheme and the operation and maintenance plan are sent to preset terminal equipment to be displayed. The application can carry out informatization management and analysis on the energy storage battery, and further improves the management efficiency and the safety of the energy storage battery.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An energy storage management method based on digital twinning is characterized by comprising the following steps:
acquiring historical operating environment and historical charge and discharge data of a target energy storage battery;
performing data association analysis of the environment and the energy storage battery based on the historical operating environment and the historical charge and discharge data, obtaining association data, and constructing an energy storage model based on digital twinning according to the association data;
monitoring and acquiring charge and discharge monitoring data and battery environment monitoring data of a plurality of battery packs in a target energy storage battery in real time;
importing the charge and discharge monitoring data and the battery environment monitoring data into an energy storage model to perform energy storage simulation, and performing continuous operation simulation analysis on the battery based on current electric energy demand data to obtain energy storage battery simulation operation data;
and carrying out energy storage benefit calculation according to the simulated operation data of the energy storage battery, and carrying out environment and charge and discharge optimization analysis on the energy storage battery based on a calculation result to obtain an energy storage battery optimization regulation scheme.
2. The method for managing energy based on digital twin according to claim 1, wherein the obtaining the historical operating environment and the historical charge-discharge data of the target energy storage battery is specifically as follows:
Counting the external environment data and the internal environment data of the target energy storage battery in a preset historical time, and integrating the external environment data and the internal environment data to obtain a historical operation environment;
and counting the power, voltage and current information of charging and discharging of the energy storage battery in a preset historical time to obtain historical charging and discharging data.
3. The energy storage management method based on digital twin according to claim 2, wherein the performing data association analysis of the environment and the energy storage battery based on the historical operating environment and the historical charging and discharging data, obtaining association data, and constructing an energy storage model based on digital twin according to the association data, specifically comprises:
based on the time dimension, carrying out change analysis on external environment data on the historical operating environment to obtain external environment change information;
based on the time dimension, carrying out change analysis on internal environment data of the historical operating environment to obtain internal environment change information of the energy storage battery;
carrying out power fluctuation analysis and energy storage efficiency analysis based on charge and discharge on the historical charge and discharge numbers to obtain charge and discharge power fluctuation information of the energy storage battery and charge and discharge efficiency fluctuation information of the energy storage battery;
Carrying out environment and energy storage association influence analysis of a plurality of time nodes on external environment change information, internal environment change information, energy storage battery charge and discharge power fluctuation information and energy storage battery charge and discharge efficiency fluctuation information, and recording corresponding influence factors and influence relations to obtain association data;
constructing a digital twin-based basic model frame according to data organization information of a target energy storage battery;
and importing the associated data, the historical operating environment and the historical charge and discharge data into a basic model framework and forming an energy storage model.
4. The digital twin-based energy storage management method according to claim 1, wherein the monitoring and obtaining in real time charge and discharge monitoring data and battery environment monitoring data of a plurality of battery packs in a target energy storage battery is specifically as follows:
the method comprises the steps of performing grouping monitoring on target energy storage batteries, and acquiring current, voltage and power data of charging and discharging in a plurality of battery packs in real time;
carrying out data fusion on the current, voltage and power data of charge and discharge in the plurality of battery packs and forming charge and discharge monitoring data;
monitoring environmental data of a place where a target energy storage battery is located in real time, and obtaining external monitoring environmental data;
Monitoring environment data inside a plurality of battery packs in a target energy storage battery in real time, and obtaining the internal monitoring environment data;
and integrating the external monitoring environment data with the internal monitoring environment data to obtain battery environment monitoring data.
5. The digital twin-based energy storage management method according to claim 4, wherein the method is characterized in that the charge and discharge monitoring data and the battery environment monitoring data are imported into an energy storage model to perform energy storage simulation, and the continuous operation simulation analysis of the battery is performed based on current electric energy demand data to obtain energy storage battery simulation operation data, and specifically comprises the following steps:
performing charging and discharging demand analysis of the energy storage battery based on the current electric energy demand data to obtain charging plan information and discharging plan information;
the charge and discharge monitoring data and the battery environment monitoring data are imported into an energy storage model, and the target energy storage battery is visually monitored through the energy storage model;
importing charging plan information and discharging plan information into an energy storage model, and performing grouping energy storage operation simulation based on a plurality of battery packs in a target energy storage battery to obtain a plurality of battery pack simulation operation data;
performing charge-discharge power analysis and charge-discharge efficiency calculation according to the simulated operation data of each battery pack to obtain charge-discharge power characteristics and charge-discharge efficiency of each battery pack;
And integrating the simulated operation data, the charge and discharge power characteristics and the charge and discharge efficiency of all the battery packs to obtain the simulated operation data of the energy storage battery.
6. The energy storage management method based on digital twin according to claim 5, wherein the energy storage benefit calculation is performed according to the simulated operation data of the energy storage battery, and the environment and charge and discharge optimization analysis is performed on the energy storage battery based on the calculation result, so as to obtain an energy storage battery optimization regulation scheme, specifically comprising the following steps:
according to the simulated operation data of the energy storage battery, charging benefit calculation is carried out on the charging and discharging power characteristics and the charging and discharging efficiency of each battery pack, and an operation benefit index of each battery pack is obtained;
judging the operation benefit index of each battery pack, and marking the battery packs with the operation benefit index lower than a preset index as low-efficiency battery packs;
performing environment regulation analysis and real-time regulation analysis based on current, voltage and power based on simulated operation data, charge and discharge power characteristics and charge and discharge efficiency of the low-efficiency battery packs to obtain an internal environment regulation scheme and an energy storage battery regulation scheme of each low-efficiency battery pack;
carrying out scheme fusion analysis on internal environment regulation schemes of all the low-efficiency battery packs, and obtaining a plurality of optimized internal environment regulation schemes;
Combining a plurality of preferred internal environment modulation schemes with the energy storage battery modulation scheme to form a plurality of combined modulation schemes;
introducing a plurality of combined regulation and control schemes into an energy storage model, carrying out simulated operation of an energy storage battery based on each battery pack, and calculating an average operation benefit index of the combined regulation and control schemes through a simulated operation process;
and comparing the operation benefit indexes, and taking the combined regulation and control scheme corresponding to the highest average operation benefit index as an energy storage battery optimization regulation and control scheme.
7. The energy storage management method based on digital twin according to claim 1, wherein the energy storage benefit calculation is performed according to the simulated operation data of the energy storage battery, and the environment and charge and discharge optimization analysis is performed on the energy storage battery based on the calculation result, so as to obtain an energy storage battery optimization regulation scheme, and the method further comprises:
performing real-time regulation and control on the target energy storage battery according to the energy storage battery optimization regulation and control scheme, and acquiring internal environment data and monitoring data of the energy storage battery in real time;
the internal environment data of the energy storage battery and the monitoring data of the energy storage battery are imported into an energy storage model in real time, and the energy storage battery is monitored visually;
Leading current electric energy demand data into an energy storage model, taking the electric energy demand as a first target, performing pressure analysis on each battery pack in the energy storage battery, and obtaining the pressure condition of the battery pack;
a battery operation and maintenance plan based on the plurality of battery packs is generated based on the battery pack pressure conditions.
8. A digital twinning-based energy storage management system, the system comprising: the energy storage management program based on digital twinning is contained in the memory, and when being executed by the processor, the energy storage management program based on digital twinning realizes the following steps:
acquiring historical operating environment and historical charge and discharge data of a target energy storage battery;
performing data association analysis of the environment and the energy storage battery based on the historical operating environment and the historical charge and discharge data, obtaining association data, and constructing an energy storage model based on digital twinning according to the association data;
monitoring and acquiring charge and discharge monitoring data and battery environment monitoring data of a plurality of battery packs in a target energy storage battery in real time;
importing the charge and discharge monitoring data and the battery environment monitoring data into an energy storage model to perform energy storage simulation, and performing continuous operation simulation analysis on the battery based on current electric energy demand data to obtain energy storage battery simulation operation data;
And carrying out energy storage benefit calculation according to the simulated operation data of the energy storage battery, and carrying out environment and charge and discharge optimization analysis on the energy storage battery based on a calculation result to obtain an energy storage battery optimization regulation scheme.
9. The energy storage management system based on digital twinning of claim 8, wherein the acquiring the historical operating environment and the historical charge-discharge data of the target energy storage battery is specifically as follows:
counting the external environment data and the internal environment data of the target energy storage battery in a preset historical time, and integrating the external environment data and the internal environment data to obtain a historical operation environment;
and counting the power, voltage and current information of charging and discharging of the energy storage battery in a preset historical time to obtain historical charging and discharging data.
10. A computer readable storage medium, characterized in that a digital twinning based energy storage management program is included in the computer readable storage medium, which when executed by a processor, implements the steps of the digital twinning based energy storage management method according to any one of claims 1 to 7.
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