CN116937631A - Electric energy storage management system based on data processing - Google Patents
Electric energy storage management system based on data processing Download PDFInfo
- Publication number
- CN116937631A CN116937631A CN202311195669.6A CN202311195669A CN116937631A CN 116937631 A CN116937631 A CN 116937631A CN 202311195669 A CN202311195669 A CN 202311195669A CN 116937631 A CN116937631 A CN 116937631A
- Authority
- CN
- China
- Prior art keywords
- energy storage
- electric energy
- storage equipment
- signal
- preset
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 224
- 238000012545 processing Methods 0.000 title claims abstract description 12
- 230000008859 change Effects 0.000 claims abstract description 56
- 238000012544 monitoring process Methods 0.000 claims abstract description 40
- 230000007613 environmental effect Effects 0.000 claims abstract description 30
- 238000010248 power generation Methods 0.000 claims abstract description 26
- 230000005540 biological transmission Effects 0.000 claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 23
- 238000001816 cooling Methods 0.000 claims abstract description 7
- 238000007599 discharging Methods 0.000 claims abstract description 6
- 238000003860 storage Methods 0.000 claims description 59
- 238000007726 management method Methods 0.000 claims description 38
- 230000017525 heat dissipation Effects 0.000 claims description 28
- 238000009826 distribution Methods 0.000 claims description 11
- 238000000034 method Methods 0.000 claims description 10
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 230000032683 aging Effects 0.000 claims description 6
- 238000010438 heat treatment Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 4
- 230000006399 behavior Effects 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 208000025274 Lightning injury Diseases 0.000 abstract description 4
- 238000004364 calculation method Methods 0.000 abstract description 3
- 238000004445 quantitative analysis Methods 0.000 abstract description 3
- 238000005457 optimization Methods 0.000 abstract description 2
- 239000002699 waste material Substances 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000004134 energy conservation Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000011232 storage material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- 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
- 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]
-
- 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
- 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
-
- 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
- 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
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/04—Power grid distribution networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The application relates to the field of electric energy storage management, which is used for solving the problems of energy waste and equipment damage caused by insufficient line optimization degree and insufficient monitoring of energy storage equipment in use, in particular to an electric energy storage management system based on data processing; the application carries out quantitative analysis and calculation on the route of the electric energy storage equipment from the power generation end, reduces the electric energy loss on a transmission route, analyzes the environmental information of the electric energy storage equipment, prevents the electric energy storage equipment from running for a long time in a severe environment, can stop the work of the electric energy storage equipment when lightning stroke risks exist by analyzing the charge density, can acquire the temperature change condition of the electric energy storage equipment in a charging and discharging state and the equipment cooling condition in a non-charging and discharging state by carrying out combined analysis on the running condition of the electric energy storage equipment, checks the actual capacity with the maximum capacity of the electric energy storage equipment, and improves the accuracy of pairing work.
Description
Technical Field
The application relates to the field of electric energy storage management, in particular to an electric energy storage management system based on data processing.
Background
With the continuous reduction of the cost and the use of the electric energy storage system, the design and the operation mode of the electric power system are also continuously changed, the requirement of the electric power system on the electric power stability is also continuously improved in the future, and in fact, the energy storage plays a flexible and multifunctional role in the electric power supply network, so that the available electric power is ensured to be managed more effectively. The energy storage system is combined with the power generation system for renewable energy conversion, so that real-time production and consumption balance is provided, and the reliability of power grid management is improved;
at present, the electric energy storage system in the prior art still has the defects that a plurality of storage devices are generally required to be configured for storing and releasing electric energy due to the limitation of electric energy storage materials so as to ensure the stability of a power grid in operation, and in the prior art, a simple sequential electric energy storage method is often adopted when the electric energy is stored, namely, after the energy storage of one group of electric energy storage devices reaches the maximum value, the electric energy storage device is switched to the next group of energy storage devices, although the method is simple to operate, the optimization degree of the path of electric energy storage and transportation is insufficient, the situation of large electric energy loss caused by the fact that the electric energy storage distance is too far easily occurs in a complex network constructed by a plurality of power generation ends and electric storage ends, the situation of electric energy waste exists, meanwhile, the operation situation of the energy storage devices cannot be known in time in the operation process of the energy storage devices is not fully monitored, and the damage of the energy storage devices is easily caused;
the application provides a solution to the technical problem.
Disclosure of Invention
According to the application, when the power generation end needs to store redundant electric energy, the electric energy storage equipment with the lowest transmission loss is found through quantitatively analyzing and calculating the route of the electric energy storage equipment from the power generation end, the electric energy loss on a transmission route is reduced, the environmental information of the electric energy storage equipment is analyzed, whether the environment where the electric energy storage equipment is located affects the operation of the electric energy storage equipment or not can be judged, so that the electric energy storage equipment is prevented from operating for a long time under severe environment, the operation of the electric energy storage equipment can be stopped when the lightning stroke risk exists through analyzing the charge density, the operation safety of the electric energy storage equipment is ensured, the temperature change condition of the electric energy storage equipment in a charging and discharging state and the equipment cooling condition of the electric energy storage equipment in a non-charging and discharging state can be obtained through multi-layer combined analysis of the operation condition of the electric energy storage equipment, the occurrence of fire disaster condition caused by heat dissipation faults or operation high temperature of the electric energy storage equipment is effectively prevented, the maximum capacity of the electric energy storage equipment is checked through the stored actual electric energy quantity of the electric energy storage equipment in charging, the electric energy storage equipment is prevented from being paired with the working accuracy of the power generation end, the electric energy storage equipment is prevented from being damaged, the problem that the energy storage equipment is fully damaged due to the fact that the management system is based on the data is comprehensively processed and the energy is not damaged.
The aim of the application can be achieved by the following technical scheme:
an electric energy storage management system based on data processing comprises a storage distribution unit, an environment monitoring unit, a supervision platform, a storage management unit and an operation monitoring unit;
the storage distribution unit is used for calculating the power transmission line of the power generation end from the power storage end according to the position of the electric energy storage equipment and selecting proper electric energy storage equipment according to the transmission line;
the storage management unit is used for acquiring the capacities of all the electric energy storage devices, analyzing the capacities of the electric energy storage devices, dividing the capacities of the electric energy storage devices into used capacities and residual capacities, sending the capacities of each electric energy storage device to the supervision platform, calculating the aging condition of the electric energy storage devices according to the used capacities and the actual residual capacities, and sending the aging condition to the storage distribution unit;
the environment monitoring unit is used for collecting environment information around the electric energy storage equipment, wherein the environment information comprises environment temperature, environment wind speed and unit volume of atmospheric charge density, the environment monitoring unit analyzes the environment temperature and the environment wind speed and generates a conventional environment judgment signal according to an analysis result, the environment monitoring unit analyzes the unit volume of atmospheric charge density, acquires unit volume of atmospheric charge density change data, carries out threshold analysis on the unit volume of atmospheric charge density change data and generates a lightning protection early warning signal according to the analysis result, and the environment monitoring unit sends the conventional environment judgment signal and the lightning protection early warning signal to the supervision platform;
the operation monitoring unit is used for collecting operation information of the electric energy storage equipment, wherein the operation information comprises a charge-discharge state, a temperature change speed and a vibration data value, and analyzes heating conditions of the electric energy storage equipment according to the charge-discharge state and the temperature change speed of the electric energy storage equipment and analyzes heat dissipation conditions of the electric energy storage equipment through the charge-discharge state, the temperature change speed and the vibration data.
As a preferred embodiment of the present application, the storage management unit selects a group of electrical energy storage devices, obtains the accumulated charge-discharge times of the electrical energy storage devices, and invokes a preset estimated maximum capacity from the storage management unit according to the charge-discharge times, the storage management unit calculates the current used capacity and the estimated maximum capacity of the group of electrical energy storage devices, obtains the remaining capacity of the group of electrical energy storage devices, compares the remaining capacity with a preset remaining capacity threshold, and marks the group of electrical energy storage devices as available storage devices if the remaining capacity is greater than the preset remaining capacity threshold.
As a preferred embodiment of the present application, the process of calculating the conveying line by the storage and distribution unit is as follows:
step one: the storage distribution unit acquires all power transmission lines connected with the power generation end by the available electric energy storage equipment, and acquires the cable length and the number of the medium-speed points on each line;
step two: recording the length of the cable as L, recording the number of the medium-voltage points as K, and obtaining an electric energy loss value J when the power generation end transmits electric energy to available electric energy storage equipment through a power transmission line through formula analysis;
step three: a group of available electrical energy storage devices with the smallest electrical energy loss value J is selected and marked as preferred storage devices, and the preferred storage devices are simultaneously sent to the power generating end and the corresponding electrical energy storage devices.
As a preferred embodiment of the present application, the method for obtaining the actual remaining capacity by the storage management unit includes: after a certain group of electric energy storage equipment is selected as preferable storage equipment, a power generation end charges the electric energy storage equipment, electric quantity actually entering the electric energy storage equipment during charging is obtained, after electric energy stored in the electric energy storage equipment reaches the maximum value, the accumulated electric quantity actually entering the electric energy storage equipment is marked as actual residual capacity, the storage management unit sums the actual residual capacity and the used capacity before charging to obtain the actual maximum capacity of the group of electric energy storage equipment, and the actual maximum capacity and codes of the group of electric energy storage equipment are sent to a supervision platform for storage, wherein the codes of the electric energy storage equipment are unique character strings endowed by each group of electric energy storage equipment;
after the storage management unit obtains the actual maximum capacity of a certain group of electric energy storage equipment, comparing the actual maximum capacity of the group of electric energy storage equipment with the estimated maximum capacity, if the difference between the actual maximum capacity and the estimated maximum capacity is smaller than a preset error range, not reacting, if the difference between the actual maximum capacity and the preset maximum capacity is larger than or equal to the preset error range, generating a correction adjustment signal, marking the estimated maximum capacity corresponding to the accumulated charge and discharge times as the capacity to be corrected, marking the obtained actual maximum capacity as samples i, i=1, 2, … and n, and after the number of the samples i is larger than the preset number of samples, carrying out arithmetic average on all preset samples, thereby obtaining average actual maximum capacity, and replacing the estimated maximum capacity with the average actual maximum capacity.
As a preferred embodiment of the present application, the environmental monitoring unit performs threshold analysis on the environmental temperature, generates a normal temperature signal if the environmental temperature is between preset operating temperature ranges, generates a low temperature early warning signal if the environmental temperature is lower than a minimum value of the preset operating temperature ranges, generates a high temperature early warning signal if the environmental temperature is higher than a maximum value of the preset operating temperature ranges, performs threshold analysis on the environmental wind speed, generates a windy signal if the environmental wind speed is greater than a preset wind speed threshold, generates a windless signal if the environmental wind speed is less than a preset wind speed threshold, generates a normal environment signal when generating a normal temperature signal, generates a normal environment low temperature signal when generating a low temperature early warning signal and a windless signal, generates a normal environment high temperature signal when generating a low temperature early warning signal and a windless signal, or generates a normal environment bad early warning signal when generating a low temperature early warning signal and a windless signal.
As a preferred implementation mode of the application, the environment monitoring unit acquires the atmospheric charge density of unit volume under the adjacent interval time in a fixed time interval acquisition mode, acquires the charge density change by dividing the change value of the atmospheric charge density of unit volume under the adjacent interval time by time, analyzes the charge density change and a preset charge change threshold, does not react when the charge density change is smaller than the charge change threshold, generates a lightning protection early warning signal when the charge density change is larger than or equal to the charge change threshold, and sends the lightning protection early warning signal and a corresponding electric energy storage device code to a supervision platform, and the supervision platform cuts off the charging and discharging actions of the corresponding electric energy storage device according to the electric energy storage device code after receiving the lightning protection early warning signal.
As a preferred embodiment of the present application, the operation monitoring unit performs a threshold analysis on a temperature change speed of the electrical energy storage device in a charge-discharge state, and if the electrical energy storage device is in a temperature rise state in the charge-discharge state and the temperature change speed is greater than a preset temperature change speed, generates a device operation high temperature signal;
when the electric energy storage equipment is not in a charge-discharge state and the temperature change is a cooling trend, if the temperature change speed is smaller than a preset heat dissipation speed threshold value, a heat dissipation abnormal signal is generated, after the operation monitoring unit generates the heat dissipation abnormal signal, the vibration data of the electric energy storage equipment is 0, a heat dissipation disconnection signal is generated, and if the vibration data of the electric energy storage equipment is larger than a preset value, a heat dissipation fault signal is generated;
the operation monitoring unit sends the operation high-temperature signal, the heat dissipation fault signal or the heat dissipation disconnection signal and the codes of the electric energy storage equipment corresponding to the signals to the supervision platform, and the supervision platform displays the signals and the codes of the electric energy storage equipment on the display screen.
Compared with the prior art, the application has the beneficial effects that:
in the application, in a network formed by the electric energy storage equipment and the power generation end, when the power generation end needs to store redundant electric energy, the electric energy storage equipment with the lowest transmission loss can be found out by carrying out quantitative analysis and calculation on the route of the electric energy storage equipment from the power generation end, so that the electric energy loss on the transmission route can be reduced to the greatest extent when the redundant electric energy of the power generation end is stored, the energy utilization rate is ensured, and the energy conservation and the environmental protection are facilitated.
According to the application, the environmental information of the electric energy storage equipment is analyzed, so that whether the environment where the electric energy storage equipment is located affects the operation of the electric energy storage equipment or not can be judged, the electric energy storage equipment is prevented from operating for a long time in a severe environment, the service life of the electric energy storage equipment is prolonged, meanwhile, the operation of the electric energy storage equipment can be stopped when the lightning stroke risk exists through analyzing the charge density, the lightning striking behavior of the electric energy storage equipment in operation is prevented, and the operation safety of the electric energy storage equipment is ensured.
According to the application, through multi-level combined analysis of the operation condition of the electric energy storage equipment, the temperature change condition of the electric energy storage equipment in a charge-discharge state and the equipment cooling condition in a non-charge-discharge state can be timely found, the occurrence of fire disaster condition of the electric energy storage equipment caused by heat dissipation faults or operation high temperature is effectively prevented, the maximum capacity of the electric energy storage equipment is checked through the actual electric energy stored in the electric energy storage equipment during charging, and the accuracy of the electric energy storage equipment during pairing work with a power generation end is improved.
Drawings
The present application is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a system block diagram of the present application;
FIG. 2 is a flow chart of a storage allocation and management unit according to the present application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Embodiment one: referring to fig. 1-2, an electric energy storage management system based on data processing includes a storage allocation unit, an environment monitoring unit, a supervision platform, a storage management unit and an operation monitoring unit;
the storage allocation unit obtains the positions of the electric energy storage devices and the connection condition of the transmission line, thereby constructing a group of network diagrams consisting of the electric energy storage devices, the power generation end, the transmission line and the middle point, the storage management unit is used for obtaining the capacities of all the electric energy storage devices, analyzing the capacities of the electric energy storage devices, selecting a group of electric energy storage devices by the storage management unit, dividing the capacities of the electric energy storage devices into used capacities and residual capacities, wherein the used capacities are easily known, obtaining the accumulated charge and discharge times of the electric energy storage devices, and extracting a preset estimated maximum capacity from the storage management unit through the charge and discharge times, wherein the estimated maximum capacity is one grade for every ten times of charge, each grade has different estimated maximum capacities, the storage management unit is used for calculating the current used capacities of the group of the electric energy storage devices and the estimated maximum capacities, obtaining the residual capacities of the group of the electric energy storage devices, comparing the residual capacities with preset residual capacities, marking the group of the electric energy storage devices as available storage devices if the residual capacities are larger than the preset residual capacities, calculating the position of the electric energy storage devices and calculating the transmission line of the electric energy storage devices, and storing the transmission line is suitable for storing and allocating the electric energy storage units in the transmission line according to the position of the electric energy storage devices, and the storage devices can be stored in the transmission line in the process:
step one: the storage distribution unit acquires all the power transmission lines connected with the power generation end by the available electric energy storage equipment, and acquires the cable length and the number of the middle-point points on each line for subsequent analysis;
step two: recording the length of the cable as L, recording the length unit as meter and the number of the medium-speed points as K, obtaining the electric energy loss value J of the power generation end when the power generation end transmits the electric energy to the available electric energy storage equipment through the power transmission line through formula analysis,where q is a loss factor per unit length of the cable that would be generated when transmitting power, and w is a loss factor per midportion that would be generated when transmitting power;
step three: and selecting a group of available electric energy storage equipment with the minimum electric energy loss value J, marking the available electric energy storage equipment as preferred storage equipment, and simultaneously sending the preferred storage equipment to the power generation end and the corresponding electric energy storage equipment, wherein the identification mode among a plurality of individuals of the electric energy storage equipment is code identification, so that the power generation end and the corresponding electric energy storage equipment are paired, and electric energy transmission is started. The storage management unit sends the capacity of each electric energy storage device to the supervision platform, calculates the aging condition of the electric energy storage device according to the used capacity and the actual residual capacity, and sends the aging condition to the storage allocation unit, wherein the actual residual capacity obtaining method comprises the following steps: after a certain group of electric energy storage equipment is selected as preferable storage equipment, a power generation end charges the electric energy storage equipment to obtain electric quantity actually entering the electric energy storage equipment during charging, and after electric energy stored in the electric energy storage equipment reaches the maximum value, the accumulated electric quantity actually entering the electric energy storage equipment is marked as actual residual capacity, a storage management unit sums the actual residual capacity and the used capacity before charging to obtain the actual maximum capacity of the group of electric energy storage equipment, and sends the actual maximum capacity and codes of the group of electric energy storage equipment to a supervision platform for storage, wherein the codes of the electric energy storage equipment are unique character strings endowed by each group of electric energy storage equipment, and in this way, the actual maximum capacity of the electric energy storage equipment can be obtained once when the electric energy storage equipment stores energy to the maximum value each time;
after the storage management unit obtains the actual maximum capacity of a certain group of electric energy storage equipment, comparing the actual maximum capacity of the group of electric energy storage equipment with the estimated maximum capacity, if the difference between the actual maximum capacity and the estimated maximum capacity is smaller than a preset error range, not reacting, if the difference between the actual maximum capacity and the preset maximum capacity is larger than or equal to the preset error range, generating a correction adjustment signal, marking the estimated maximum capacity corresponding to the accumulated charge and discharge times as the capacity to be corrected, marking the actual maximum capacity obtained at this time as samples i, i=1, 2, … and n, and after the number of the samples i is larger than the preset number of samples, carrying out arithmetic average on all preset samples to obtain average actual maximum capacity, and using the average actual maximum capacity to replace the estimated maximum capacity, thereby updating the gear table of the estimated maximum capacity stored in the storage management unit.
Embodiment two: referring to fig. 1 to 2, an environment monitoring unit is configured to collect environmental information around an electrical energy storage device, where the environmental information includes an environmental temperature, an environmental wind speed, and an atmospheric charge density per unit volume, the environmental monitoring unit analyzes the environmental temperature and the environmental wind speed, and generates a conventional environment judgment signal according to an analysis result, where the conventional environment judgment signal is a conventional environment normal signal, a conventional environment bad signal, a conventional environment low-temperature signal, and a conventional environment high-temperature signal, when the conventional environment normal signal is generated, the electrical energy storage device normally works, when the conventional environment bad signal is generated, a continuous working time of the electrical energy storage device is limited, when the conventional environment low-temperature signal is generated, the electrical energy storage device consumes a part of electricity to increase its own temperature before entering in a working state, and when the conventional environment high-temperature signal is generated, a limiting time of the continuous working time of the electrical energy storage device is further shortened, and the conventional environment judgment signal is obtained by: the environment monitoring unit performs threshold analysis on the environment temperature, generates a normal temperature signal if the environment temperature is between preset working temperature ranges, generates a low-temperature early warning signal if the environment temperature is lower than the minimum value of the preset working temperature ranges, generates a high-temperature early warning signal if the environment temperature is higher than the maximum value of the preset working temperature ranges, performs threshold analysis on the environment wind speed, generates a windy signal if the environment wind speed is higher than the preset wind speed threshold, generates a windless signal if the environment wind speed is lower than the preset wind speed threshold, generates a normal environment normal signal when the environment monitoring unit generates a normal environment normal signal, generates a normal environment low-temperature signal when the environment monitoring unit generates a low-temperature early warning signal and a windless signal, generates a normal environment high-temperature signal when the environment monitoring unit generates a low-temperature early warning signal and a windless signal, or generates a normal environment bad early warning signal when the environment monitoring unit generates a high-temperature early warning signal and a windless signal.
The environment monitoring unit analyzes the atmospheric charge density of unit volume, the environment monitoring unit acquires the atmospheric charge density of unit volume under the adjacent interval time through a fixed time interval acquisition mode, the change value of the atmospheric charge density of unit volume under the adjacent interval time is divided by the time to acquire charge density change, the charge density change is analyzed with a preset charge change threshold value, when the charge density change is smaller than the charge change threshold value, no reaction occurs, when the charge density change is greater than or equal to the charge change threshold value, a lightning protection early warning signal is generated, the lightning protection early warning signal and a corresponding electric energy storage device code are sent to the supervision platform, and the supervision platform cuts off the charge and discharge behaviors of the corresponding electric energy storage device according to the electric energy storage device code after receiving the lightning protection early warning signal.
Embodiment III: referring to fig. 1-2, an operation monitoring unit is configured to collect operation information of an electrical energy storage device, where the operation information includes a charge-discharge state, a temperature change speed and a vibration data value, the operation monitoring unit analyzes a heating condition of the electrical energy storage device according to the charge-discharge state and the temperature change speed of the electrical energy storage device, and performs a threshold analysis on the temperature change speed of the electrical energy storage device in the charge-discharge state, and if the electrical energy storage device is in a heating state in the charge-discharge state and the temperature change speed is greater than a preset temperature change speed, generates a device operation high temperature signal;
through the charge-discharge state, the temperature change speed and the vibration data to analyze the heat dissipation condition of the electric energy storage equipment, when the electric energy storage equipment is not in the charge-discharge state and the temperature change is a cooling trend, if the temperature change speed is smaller than a preset heat dissipation speed threshold value, a heat dissipation abnormal signal is generated, after the operation monitoring unit generates the heat dissipation abnormal signal, the vibration data of the electric energy storage equipment is 0, which indicates that the heat dissipation fan is in a non-operation state, a heat dissipation disconnection signal is generated, and if the vibration data of the electric energy storage equipment is larger than a preset value, a heat dissipation fault signal is generated; the operation monitoring unit sends the operation high-temperature signal, the heat dissipation fault signal or the heat dissipation disconnection signal and the codes of the electric energy storage equipment corresponding to the signals to the supervision platform, and the supervision platform displays the signals and the codes of the electric energy storage equipment on the display screen.
In the application, in a network formed by the electric energy storage equipment and the generating end, when the generating end needs to store redundant electric energy, the electric energy storage equipment with the lowest transmission loss can be found through carrying out quantitative analysis and calculation on the route of the electric energy storage equipment from the generating end, the electric energy loss on the transmission route is reduced to the maximum extent, the energy utilization rate is ensured, the method is beneficial to energy conservation and environmental protection, the analysis on the environmental information of the electric energy storage equipment can be carried out, the environment where the electric energy storage equipment is positioned can be judged whether the work of the electric energy storage equipment is influenced or not, thereby preventing the electric energy storage equipment from running for a long time under severe environment, simultaneously, the work of the electric energy storage equipment can be stopped when the lightning stroke risk exists through analyzing the charge density, the operation of the electric energy storage equipment is prevented from occurring, the operation safety of the electric energy storage equipment is ensured, the temperature change condition of the electric energy storage equipment in a charge and discharge state and the equipment cooling condition of the equipment in a non-charge and discharge state can be timely found, the electric energy storage equipment can be effectively prevented from being caused by faults or the high-temperature condition, and the electric energy storage equipment can be accurately matched with the electric energy storage equipment when the electric energy is stored at the generating end when the electric energy is matched with the actual heat dissipation equipment.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (7)
1. The electric energy storage management system based on data processing is characterized by comprising a storage distribution unit, an environment monitoring unit, a supervision platform, a storage management unit and an operation monitoring unit;
the storage distribution unit is used for calculating the power transmission line of the power generation end from the power storage end according to the position of the electric energy storage equipment and selecting proper electric energy storage equipment according to the transmission line;
the storage management unit is used for acquiring the capacities of all the electric energy storage devices, analyzing the capacities of the electric energy storage devices, dividing the capacities of the electric energy storage devices into used capacities and residual capacities, sending the capacities of each electric energy storage device to the supervision platform, calculating the aging condition of the electric energy storage devices according to the used capacities and the actual residual capacities, and sending the aging condition to the storage distribution unit;
the environment monitoring unit is used for collecting environment information around the electric energy storage equipment, wherein the environment information comprises environment temperature, environment wind speed and unit volume of atmospheric charge density, the environment monitoring unit analyzes the environment temperature and the environment wind speed and generates a conventional environment judgment signal according to an analysis result, the environment monitoring unit analyzes the unit volume of atmospheric charge density, acquires unit volume of atmospheric charge density change data, carries out threshold analysis on the unit volume of atmospheric charge density change data and generates a lightning protection early warning signal according to the analysis result, and the environment monitoring unit sends the conventional environment judgment signal and the lightning protection early warning signal to the supervision platform;
the operation monitoring unit is used for collecting operation information of the electric energy storage equipment, wherein the operation information comprises a charge-discharge state, a temperature change speed and a vibration data value, and analyzes heating conditions of the electric energy storage equipment according to the charge-discharge state and the temperature change speed of the electric energy storage equipment and analyzes heat dissipation conditions of the electric energy storage equipment through the charge-discharge state, the temperature change speed and the vibration data.
2. The system of claim 1, wherein the storage management unit selects a group of electrical energy storage devices, obtains accumulated charge and discharge times of the electrical energy storage devices, retrieves a preset estimated maximum capacity from the storage management unit according to the charge and discharge times, calculates a current used capacity and the estimated maximum capacity of the group of electrical energy storage devices, obtains a remaining capacity of the group of electrical energy storage devices, compares the remaining capacity with a preset remaining capacity threshold, and marks the group of electrical energy storage devices as available storage devices if the remaining capacity is greater than the preset remaining capacity threshold.
3. The data processing-based electrical energy storage management system of claim 1, wherein the process of calculating the delivery route by the storage distribution unit is as follows:
step one: the storage distribution unit acquires all power transmission lines connected with the power generation end by the available electric energy storage equipment, and acquires the cable length and the number of the medium-speed points on each line; accumulating the charge and discharge times
Step two: recording the length of the cable as L, recording the number of the medium-voltage points as K, and obtaining an electric energy loss value J when the power generation end transmits electric energy to available electric energy storage equipment through a power transmission line through formula analysis;
step three: a group of available electrical energy storage devices with the smallest electrical energy loss value J is selected and marked as preferred storage devices, and the preferred storage devices are simultaneously sent to the power generating end and the corresponding electrical energy storage devices.
4. The electrical energy storage management system based on data processing according to claim 2, wherein the method for obtaining the actual remaining capacity by the storage management unit is as follows: after a certain group of electric energy storage equipment is selected as preferable storage equipment, a power generation end charges the electric energy storage equipment, electric quantity actually entering the electric energy storage equipment during charging is obtained, after electric energy stored in the electric energy storage equipment reaches the maximum value, the accumulated electric quantity actually entering the electric energy storage equipment is marked as actual residual capacity, the storage management unit sums the actual residual capacity and the used capacity before charging to obtain the actual maximum capacity of the group of electric energy storage equipment, and the actual maximum capacity and codes of the group of electric energy storage equipment are sent to a supervision platform for storage, wherein the codes of the electric energy storage equipment are unique character strings endowed by each group of electric energy storage equipment;
after the storage management unit obtains the actual maximum capacity of a certain group of electric energy storage equipment, comparing the actual maximum capacity of the group of electric energy storage equipment with the estimated maximum capacity, if the difference between the actual maximum capacity and the estimated maximum capacity is smaller than a preset error range, not reacting, if the difference between the actual maximum capacity and the preset maximum capacity is larger than or equal to the preset error range, generating a correction adjustment signal, marking the estimated maximum capacity corresponding to the accumulated charge and discharge times as the capacity to be corrected, marking the actual maximum capacity obtained at the time as samples i, i=1, 2, … and n, and after the number of the samples i is larger than the preset number of samples, carrying out arithmetic average on all preset samples, thereby obtaining average actual maximum capacity, and replacing the estimated maximum capacity with the average actual maximum capacity.
5. The electrical energy storage management system based on data processing according to claim 1, wherein the environmental monitoring unit performs a threshold analysis on an environmental temperature, generates a temperature normal signal if the environmental temperature is between a preset operating temperature range, generates a low temperature early warning signal if the environmental temperature is lower than a minimum value of the preset operating temperature range, generates a high temperature early warning signal if the environmental temperature is higher than a maximum value of the preset operating temperature range, generates a windy signal if the environmental wind speed is greater than a preset wind speed threshold, generates a windy signal if the environmental wind speed is less than the preset wind speed threshold, generates a windless signal if the environmental wind speed is less than the preset wind speed threshold, generates a normal environment normal signal when generating a low temperature early warning signal and a windless signal, generates a normal environment low temperature signal when generating a high temperature early warning signal and a windless signal, generates a normal environment high temperature signal when generating a low temperature early warning signal and a windless signal, or generates a normal environment bad signal when generating a high temperature early warning signal and a windless signal.
6. The data processing-based electrical energy storage management system according to claim 1, wherein the environmental monitoring unit obtains the atmospheric charge density per unit volume in the adjacent interval time through a fixed time interval acquisition mode, obtains the change of the charge density per unit volume in the adjacent interval time by dividing a change value of the atmospheric charge density per unit volume in the adjacent interval time by time, analyzes the change of the charge density and a preset charge change threshold, does not react when the change of the charge density is smaller than the charge change threshold, generates a lightning protection early warning signal when the change of the charge density is larger than or equal to the charge change threshold, and sends the lightning protection early warning signal and a corresponding electrical energy storage device code to a supervision platform, and the supervision platform cuts off the charging and discharging behaviors of the corresponding electrical energy storage device according to the electrical energy storage device code after receiving the lightning protection early warning signal.
7. The data processing-based electrical energy storage management system according to claim 1, wherein the operation monitoring unit performs a threshold analysis on a temperature change speed of the electrical energy storage device in a charge-discharge state, and generates a device operation high temperature signal if the electrical energy storage device is in a temperature rise state in the charge-discharge state and the temperature change speed is greater than a preset temperature change speed;
when the electric energy storage equipment is not in a charge-discharge state and the temperature change is a cooling trend, if the temperature change speed is smaller than a preset heat dissipation speed threshold value, a heat dissipation abnormal signal is generated, after the operation monitoring unit generates the heat dissipation abnormal signal, the vibration data of the electric energy storage equipment is 0, a heat dissipation disconnection signal is generated, and if the vibration data of the electric energy storage equipment is larger than a preset value, a heat dissipation fault signal is generated;
the operation monitoring unit sends the operation high-temperature signal, the heat dissipation fault signal or the heat dissipation disconnection signal and the codes of the electric energy storage equipment corresponding to the signals to the supervision platform, and the supervision platform displays the signals and the codes of the electric energy storage equipment on the display screen.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311195669.6A CN116937631B (en) | 2023-09-18 | 2023-09-18 | Electric energy storage management system based on data processing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311195669.6A CN116937631B (en) | 2023-09-18 | 2023-09-18 | Electric energy storage management system based on data processing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116937631A true CN116937631A (en) | 2023-10-24 |
| CN116937631B CN116937631B (en) | 2023-11-21 |
Family
ID=88377515
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311195669.6A Active CN116937631B (en) | 2023-09-18 | 2023-09-18 | Electric energy storage management system based on data processing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116937631B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118017695A (en) * | 2024-04-08 | 2024-05-10 | 广东瀚能新能源科技有限公司 | Online monitoring method and system for electric energy storage system, storage medium and electronic equipment |
| CN118017695B (en) * | 2024-04-08 | 2024-06-21 | 广东瀚能新能源科技有限公司 | Online monitoring method and system for electric energy storage system, storage medium and electronic equipment |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101705847A (en) * | 2009-11-03 | 2010-05-12 | 顾绍军 | Self-circulatory temperature potential energy generating device |
| CN106327006A (en) * | 2016-08-09 | 2017-01-11 | 国网四川省电力公司经济技术研究院 | Comprehensive benefit analysis-based micro-power-grid optimal configuration method |
| CN109164397A (en) * | 2018-09-21 | 2019-01-08 | 华北电力大学（保定） | Consider that appraisal procedure is lost in the service life of lithium battery of charge rate and environment temperature |
| CN110518612A (en) * | 2019-09-02 | 2019-11-29 | 南方电网科学研究院有限责任公司 | A kind of determination method and device of power distribution network energy-storage system configuration parameter |
| CN111082505A (en) * | 2019-11-20 | 2020-04-28 | 国网江苏省电力有限公司南通供电分公司 | Energy management method based on cooperative scheduling of electric vehicle and energy storage battery |
| CN210605498U (en) * | 2019-10-30 | 2020-05-22 | 武汉鑫欧亚电器有限公司 | Energy-saving power distribution room temperature and humidity environment monitoring device |
| CN111244988A (en) * | 2020-01-06 | 2020-06-05 | 华北电力大学 | Electric automobile considering distributed power supply and energy storage optimization scheduling method |
| CN112165113A (en) * | 2020-11-03 | 2021-01-01 | 国网吉林省电力有限公司电力科学研究院 | Method for guaranteeing electric energy quality of micro-grid based on control over hybrid energy storage system |
| CN113937799A (en) * | 2021-10-21 | 2022-01-14 | 国网浙江省电力有限公司电力科学研究院 | Multifunctional energy storage system capacity allocation method for minimizing equipment leveling cost |
| CN114696351A (en) * | 2022-03-11 | 2022-07-01 | 国网安徽省电力有限公司电力科学研究院 | Dynamic optimization method and device for battery energy storage system, electronic equipment and storage medium |
| CN115473319A (en) * | 2022-11-14 | 2022-12-13 | 深圳市今朝时代股份有限公司 | Energy storage method based on super capacitor |
| CN115799721A (en) * | 2022-12-19 | 2023-03-14 | 厦门海辰储能科技股份有限公司 | Energy storage system and temperature control method and device thereof |
| CN116154961A (en) * | 2023-02-11 | 2023-05-23 | 珠海康晋电气股份有限公司 | Distributed mobile energy storage device operation and maintenance system |
| CN116415799A (en) * | 2023-06-06 | 2023-07-11 | 南方电网调峰调频发电有限公司储能科研院 | Energy storage scale and structure planning method and system |
| CN116632983A (en) * | 2023-07-24 | 2023-08-22 | 广州丰久新能源科技有限公司 | Charging and discharging control system suitable for outdoor energy storage power supply |
-
2023
- 2023-09-18 CN CN202311195669.6A patent/CN116937631B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101705847A (en) * | 2009-11-03 | 2010-05-12 | 顾绍军 | Self-circulatory temperature potential energy generating device |
| CN106327006A (en) * | 2016-08-09 | 2017-01-11 | 国网四川省电力公司经济技术研究院 | Comprehensive benefit analysis-based micro-power-grid optimal configuration method |
| CN109164397A (en) * | 2018-09-21 | 2019-01-08 | 华北电力大学（保定） | Consider that appraisal procedure is lost in the service life of lithium battery of charge rate and environment temperature |
| CN110518612A (en) * | 2019-09-02 | 2019-11-29 | 南方电网科学研究院有限责任公司 | A kind of determination method and device of power distribution network energy-storage system configuration parameter |
| CN210605498U (en) * | 2019-10-30 | 2020-05-22 | 武汉鑫欧亚电器有限公司 | Energy-saving power distribution room temperature and humidity environment monitoring device |
| CN111082505A (en) * | 2019-11-20 | 2020-04-28 | 国网江苏省电力有限公司南通供电分公司 | Energy management method based on cooperative scheduling of electric vehicle and energy storage battery |
| CN111244988A (en) * | 2020-01-06 | 2020-06-05 | 华北电力大学 | Electric automobile considering distributed power supply and energy storage optimization scheduling method |
| CN112165113A (en) * | 2020-11-03 | 2021-01-01 | 国网吉林省电力有限公司电力科学研究院 | Method for guaranteeing electric energy quality of micro-grid based on control over hybrid energy storage system |
| CN113937799A (en) * | 2021-10-21 | 2022-01-14 | 国网浙江省电力有限公司电力科学研究院 | Multifunctional energy storage system capacity allocation method for minimizing equipment leveling cost |
| CN114696351A (en) * | 2022-03-11 | 2022-07-01 | 国网安徽省电力有限公司电力科学研究院 | Dynamic optimization method and device for battery energy storage system, electronic equipment and storage medium |
| CN115473319A (en) * | 2022-11-14 | 2022-12-13 | 深圳市今朝时代股份有限公司 | Energy storage method based on super capacitor |
| CN115799721A (en) * | 2022-12-19 | 2023-03-14 | 厦门海辰储能科技股份有限公司 | Energy storage system and temperature control method and device thereof |
| CN116154961A (en) * | 2023-02-11 | 2023-05-23 | 珠海康晋电气股份有限公司 | Distributed mobile energy storage device operation and maintenance system |
| CN116415799A (en) * | 2023-06-06 | 2023-07-11 | 南方电网调峰调频发电有限公司储能科研院 | Energy storage scale and structure planning method and system |
| CN116632983A (en) * | 2023-07-24 | 2023-08-22 | 广州丰久新能源科技有限公司 | Charging and discharging control system suitable for outdoor energy storage power supply |
Non-Patent Citations (1)
| Title |
|---|
| 李建林等: "百兆瓦级电化学储能电站能量管理研究综述", 《高电压技术》, vol. 49, no. 1, pages 72 - 82 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118017695A (en) * | 2024-04-08 | 2024-05-10 | 广东瀚能新能源科技有限公司 | Online monitoring method and system for electric energy storage system, storage medium and electronic equipment |
| CN118017695B (en) * | 2024-04-08 | 2024-06-21 | 广东瀚能新能源科技有限公司 | Online monitoring method and system for electric energy storage system, storage medium and electronic equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116937631B (en) | 2023-11-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102902245B (en) | Intelligent monitoring system of photovoltaic power station | |
| CN103454516B (en) | Intelligent transformer substation secondary equipment health state diagnostic method | |
| CN114819415B (en) | Power equipment fault prediction system based on data analysis | |
| CN108387850B (en) | Battery monitoring and counting system and method based on Internet of things | |
| CN102435871A (en) | On-line monitoring system for data collection of electric arresters based on GPS (Global Positioning System) synchronization | |
| CN209640478U (en) | A kind of weather radar trouble hunting system | |
| CN116111951B (en) | Data monitoring system based on photovoltaic power generation | |
| CN116154961B (en) | Distributed mobile energy storage device operation and maintenance system | |
| CN104533730A (en) | State monitoring system of wind generating set | |
| CN106443362A (en) | Power distribution network fault detection system | |
| CN115333062B (en) | Fault processing method and device for power distribution network system | |
| CN110492612B (en) | Electric power system monitoring system based on Internet of things | |
| CN113806420A (en) | Power grid data monitoring method and device | |
| CN116128241A (en) | Intelligent power supply system | |
| CN117691645A (en) | Energy storage system for intelligent micro-grid | |
| CN115712069A (en) | Battery management system for distribution network power supply and intelligent distribution network power supply module | |
| WO2023086017A2 (en) | Method and apparatus for determining state of phovoltaic power station, device, and readable storage medium | |
| KR101885636B1 (en) | Battery Management System of Repeater | |
| CN109116249B (en) | Intelligent chip system of embedded battery | |
| CN107328438A (en) | A kind of power transformer runs comprehensive monitor system | |
| CN117477794B (en) | Power distribution station power consumption management optimization system and method based on gateway machine data exchange | |
| CN108599377B (en) | Monitoring method of 230M power negative control communication base station | |
| CN106646116A (en) | Trouble shooting and locating method for power distribution network | |
| CN116937631B (en) | Electric energy storage management system based on data processing | |
| CN117239937A (en) | Data interaction method and device of battery management system and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |