CN115514100A - Hybrid energy storage system based on multi-element energy storage and control - Google Patents
Hybrid energy storage system based on multi-element energy storage and control Download PDFInfo
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Abstract
The invention provides a hybrid energy storage system based on multi-element energy storage combination control. The multivariate monitoring module: the device is used for carrying out real-time twin monitoring on the multi-element energy storage equipment through the twin energy storage model; the multivariate control module: the device is used for regulating and controlling the power input information of the multi-element energy storage equipment through the twin monitoring information and the microgrid management end to determine an electric energy distribution strategy; the multi-element energy storage module: for regulating the input power to each energy storage device in accordance with an electrical energy distribution strategy. The invention is superior to the energy storage control strategy in the prior art, carries out real-time twin monitoring on the energy storage equipment through the twin energy storage model, can realize intelligent electric energy management and electric energy distribution of the microgrid through the twin monitoring, and prevents the energy storage equipment from having too high heat and energy storage power exceeding the limit because of too high input power.
Description
Technical Field
The invention relates to the technical field of multi-element energy storage, in particular to a hybrid energy storage system based on multi-element energy storage and control.
Background
At present, due to the massive use of fossil energy such as coal, petroleum, natural gas and the like, the global energy consumption demand is continuously increased, and a series of problems such as energy shortage, serious environmental pollution and the like become difficulties and challenges which need to be coped with together globally.
There is therefore a greater need for sustainable, cleaner, and more efficient energy systems. Therefore, various energy sources such as wind energy, nuclear energy, natural gas energy and the like are adopted, but the energy sources all need to be stored in time.
In addition, the energy system of a large amount of applications carries out overall planning and planning to single energy in the existing market, and this kind of traditional mode of operation makes energy supply system produce the management complicacy, energy utilization rate low grade problem.
The reasonable configuration of energy storage is the key for improving the use efficiency of the comprehensive energy system, however, for the regional comprehensive energy system, different functional areas are included in the same region, the requirements of the regions with different functions on energy are different, and the energy distribution and the load are also greatly different.
In the prior art, when energy is stored in various types of energy storage equipment, the state of energy storage disorder exists.
Disclosure of Invention
The invention provides a hybrid energy storage system based on multi-element energy storage and control, which is used for solving the problem that the energy storage is in a disordered state when various types of energy storage equipment are used for storing energy in the prior art.
The invention provides a hybrid energy storage system based on multi-element energy storage and control, which comprises:
the multivariate monitoring module: the twin energy storage model is used for carrying out real-time twin monitoring on the multi-element energy storage equipment through the twin energy storage model;
the multivariate control module: the device is used for regulating and controlling the power input information of the multi-element energy storage equipment through the twin monitoring information and the microgrid management end to determine an electric energy distribution strategy;
the multi-element energy storage module: for regulating the input power to each energy storage device in accordance with an electrical energy distribution strategy.
As an alternative embodiment of the invention: the system further comprises:
a model building module: the method comprises the steps of obtaining attribute parameters of the multi-element energy storage equipment to establish a digital twin model of the multi-element energy storage equipment; wherein,
the multiple energy storage device comprises: the system comprises a super capacitor energy storage device, a battery energy storage device and a superconducting energy storage device;
the attribute parameters include: the electric energy output parameters, the electric energy input parameters and the real-time residual electric energy;
a data mapping module: establishing real-time data connection between the digital twin model and the multi-element energy storage equipment to form equivalent mapping between the multi-element energy storage equipment and the digital twin model;
a twin prediction module: the monitoring system is used for carrying out input and output monitoring on the multi-element energy storage equipment through a digital twin model, and determining monitoring data according to the input and output monitoring;
a reliability evaluation module: the method is used for constructing a reliability evaluation model and carrying out reliability state evaluation on the running state of the multi-element energy storage equipment.
As an alternative embodiment of the invention: the multivariate monitoring module comprises:
data unit: based on the twin energy storage model, carrying out data sampling on real-time operation data of the multi-element energy storage equipment;
a target data determination unit: constructing an information monitoring model, and determining monitoring information by inputting a monitoring target; wherein,
the monitoring target of the information monitoring model comprises the equipment type, the running time, the power data, the energy storage capacity and the equipment model of the multi-element energy storage equipment;
an extraction unit: and dynamically monitoring in the twin energy storage model through the information monitoring model to obtain the corresponding relation between the energy storage equipment entity and the target information contained in the monitoring information.
As an alternative embodiment of the invention: the multivariate monitoring module further comprises:
a channel building unit: the data transmission channel is used for constructing a data transmission channel between the multi-element energy storage device and the twin energy storage model;
a marking unit: obtaining dynamic operation data of the operation time period of the multi-element energy storage equipment, and carrying out initial dynamic marking to obtain a first dynamic mark;
a rule setting unit: the data back-transmission response rule is used for setting the twin energy storage model;
a monitoring unit: and dynamically monitoring the multiple energy storage devices according to the data feedback response rule.
As an alternative embodiment of the invention: the multivariate control module comprises:
a distributed connection unit: the distributed nodes are used for setting each energy storage device in the twin energy storage model, and the power range of each energy storage device is set through the distributed nodes;
a steady-state unit: the method comprises the steps of determining a steady-state operation mode of each energy storage device through a power range;
little electric wire netting control unit: the micro-grid intelligent distribution central hub is used as an intelligent distribution central hub of the micro-grid in a steady-state operation mode, and the intelligent distribution central hub regulates and controls the power output information of the multi-energy storage equipment.
As an alternative embodiment of the invention: the power distribution strategy comprises:
a sampling unit: sampling energy storage data of different energy storage devices through a digital twin model, and determining total input power;
a calculation unit: calculating balance power according to the total input power;
a distribution unit: carrying out spectrum analysis on the balance power, and carrying out power distribution on the multi-element energy storage equipment on a frequency domain according to the characteristics of the multi-element energy storage equipment;
a solving unit: the device comprises a power source, a power output module and a power output module, wherein the power source is used for determining time domain power corresponding to different energy storage devices through Fourier inverse transformation;
a scheme construction unit: and determining a balance point of the energy storage capacity and the power supply balance of different energy storage equipment according to the time domain power, and determining a final energy storage configuration scheme.
As an alternative embodiment of the invention: the multivariable control module further comprises:
a grid connection unit: the grid-connected switch is used for setting a grid-connected switch between the energy storage equipment and the microgrid; wherein,
the grid-connected switch comprises: a first controller, a second controller, and a third controller;
the first controller is used for controlling the input power of the energy storage equipment and carrying out input control;
the second controller is used for controlling the output power of the energy storage equipment and carrying out output control;
when the input power is larger than the output power, controlling the first controller to be in a silent mode, and controlling the second controller to be in a voltage stabilizing mode;
and when the input power is smaller than the output power, determining a power difference value and determining the variation trend of the power difference value, when the variation trend of the power difference value is increased, determining the available power supply time of the energy storage equipment, and generating a power supply switching instruction in the second control according to the available power supply time.
As an alternative embodiment of the invention: the multi-cell energy storage module comprises:
an acquisition unit: acquiring target output power and real-time output power of the energy storage equipment;
a calculation unit: calculating a real-time difference between the target output power and a real-time output power;
an adjusting unit: and determining the adjustment degree of the attenuation value of the energy storage equipment according to the real-time difference value.
As an alternative embodiment of the invention: the system further comprises:
a model building unit: the energy storage device model building method comprises the steps of building an empirical model of each energy storage device according to the functional characteristics of each energy storage device;
a learning unit: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring historical energy storage data and historical state data of different energy storage devices;
a prediction unit: setting a mapping relation table of the battery state, and predicting the expected life of each energy storage device through the learned empirical model and the mapping relation table;
as an alternative embodiment of the invention: the system further comprises:
a difference unit: the characteristic value difference calculation method comprises the steps of respectively extracting the characteristic value of each running dynamic image of the energy storage equipment through an empirical model, and calculating the characteristic value difference ratio based on the characteristic value of a benchmark running head portrait of the energy storage equipment;
traversing unit: the image area is used for traversing the pixel points of the dynamic image operated by each energy storage device, reading the color values of the pixel points and screening the image areas with characteristic difference values based on the color values;
a warning unit: and the warning information corresponding to the time period is generated through the image area.
The invention is superior to the energy storage control strategy in the prior art, carries out real-time twin monitoring on the energy storage equipment through the twin energy storage model, can realize intelligent electric energy management and electric energy distribution of the microgrid through the twin monitoring, and prevents the energy storage equipment from having too high heat and energy storage power exceeding the limit because of too high input power. The invention has the beneficial effects that: the invention can realize accurate and comprehensive monitoring of the multi-element energy storage equipment, supervise the multi-element energy storage equipment constantly, judge whether the multi-element energy storage equipment is abnormal in the process of storing electric energy, and simultaneously can control different energy storage equipment to store energy and disconnect the energy storage to supervise whether the energy storage energy of the energy storage equipment is full. Meanwhile, when the energy storage device stores energy, the energy storage device is not starved through the electric energy input of the energy storage device under the control of the micro-grid, after the real-time electric energy and the energy storage states of the electric energy and different energy storage devices are definitely input, an energy storage strategy can be generated, different energy storage devices can store energy, the energy storage voltages of different energy storage devices are adjusted or the energy storage switches of the energy storage devices are turned on/off, and the energy storage abnormality of the energy storage device can be prevented according to the fluctuation in the energy storage process.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a system composition diagram of a hybrid energy storage system based on multi-element energy storage and control according to an embodiment of the present invention;
FIG. 2 is a block diagram of a multivariate monitoring module according to an embodiment of the invention;
fig. 3 is a real-time composition diagram of an electric energy distribution strategy in an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it should be understood that they are presented herein only to illustrate and explain the present invention and not to limit the present invention.
The invention discloses a hybrid energy storage system based on multi-element energy storage and control, which comprises:
the multivariate monitoring module: the device is used for carrying out real-time twin monitoring on the multi-element energy storage equipment through the twin energy storage model;
the multivariate control module: the device is used for regulating and controlling the power input information of the multi-element energy storage equipment through the twin monitoring information and the microgrid management end to determine an electric energy distribution strategy;
the multi-element energy storage module: for regulating the input power to each energy storage device in accordance with an electrical energy distribution strategy.
The principle of the invention is as follows:
as shown in the attached figure 1, the composition structure of the invention comprises three parts of monitoring, controlling and energy storing, the invention adopts a digital twin technology, and a twin energy storing model, namely different energy storing devices can be only one energy storing device or a plurality of energy storing devices, the energy storing data of the actual energy storing devices, including the input data and the output data of electric quantity and the fluctuation data of the electric quantity, can be continuously obtained, and the twin energy storing model can realize the real-time twin monitoring of the energy storing devices through the continuous collection of the data. The meaning of the multi-element energy storage is a comprehensive energy storage mode of electricity/heat/cold multi-element energy storage, the multi-element energy storage only considers the multi-element energy storage mode of the electric energy, and the multi-element represents different types of energy storage equipment, such as storage battery energy storage, super capacitors or chemical energy storage chambers and the like. Energy storage information of different energy storage devices is contained in twin monitoring information, so that reasonable electric energy distribution can be performed when electric energy is input, and a corresponding electric energy distribution strategy is generated. The electric energy distribution strategy comprises the step of adjusting the real-time energy storage voltage and current of different energy storage devices, so that the energy storage time of the different energy storage devices is adjusted. Therefore, after the multi-element energy storage module defines the electric energy distribution strategy, the input power of different energy storage devices is adjusted.
The invention has the beneficial effects that:
the invention can realize accurate and comprehensive monitoring of the multi-element energy storage equipment, supervise the multi-element energy storage equipment constantly, judge whether the multi-element energy storage equipment is abnormal in the process of storing electric energy, and simultaneously can control different energy storage equipment to store energy and disconnect the energy storage to supervise whether the energy storage energy of the energy storage equipment is full. Meanwhile, when the energy storage device stores energy, the energy storage device is not starved through the electric energy input of the energy storage device under the control of the micro-grid, after the real-time electric energy and the energy storage states of the electric energy and different energy storage devices are definitely input, an energy storage strategy can be generated, different energy storage devices can store energy, the energy storage voltages of different energy storage devices are adjusted or the energy storage switches of the energy storage devices are turned on/off, and the energy storage abnormality of the energy storage device can be prevented according to the fluctuation in the energy storage process.
The invention is superior to the energy storage control strategy in the prior art, carries out real-time twin monitoring on the energy storage equipment through the twin energy storage model, can realize intelligent electric energy management and electric energy distribution of the microgrid through the twin monitoring, and prevents the energy storage equipment from having too high heat and energy storage power exceeding the limit because of too high input power.
As an alternative embodiment of the invention: the system further comprises:
a model building module: the method comprises the steps of obtaining attribute parameters of the multi-element energy storage equipment to establish a twin energy storage model of the multi-element energy storage equipment; wherein,
the multiple energy storage device comprises: the system comprises a super capacitor energy storage device, a battery energy storage device and a superconducting energy storage device;
the attribute parameters include: the electric energy output parameters, the electric energy input parameters and the real-time residual electric energy;
a data mapping module: establishing real-time data connection between the digital twin model and the multi-element energy storage equipment to form equivalent mapping between the multi-element energy storage equipment and the digital twin model;
a twin prediction module: the monitoring system is used for carrying out input and output monitoring on the multi-element energy storage equipment through a digital twin model, and determining monitoring data according to the input and output monitoring;
a reliability evaluation module: the method is used for constructing a reliability evaluation model and carrying out reliability state evaluation on the running state of the multi-element energy storage equipment.
Optionally, as shown in fig. 1, the digital twin model of the present invention is a monitoring model for twin monitoring of different types of energy storage devices, where the energy storage devices include a super capacitor energy storage device, a battery energy storage device, and a superconducting energy storage device, but are not limited to such energy storage devices; the equivalent mapping is the equivalent mapping of real-time data of the energy storage equipment, a digital twin model is established through the equivalent mapping, and real-time dynamic supervision is performed through the twin model.
The model building module of the invention obtains the attribute parameters of the multi-element energy storage equipment, the attribute parameters determine the highest voltage and the lowest voltage of the electric energy input of the energy storage equipment, the highest current and the lowest current, the lowest power and rated power, loss power and the like, the three attribute parameters of the electric energy output parameter, the electric energy input parameter and the real-time residual electric energy can be analyzed to determine various electric energy parameters, the data mapping module is connected with the monitoring sensing equipment on the multi-element energy storage equipment through a digital twin model, the equipment comprises an ammeter, a temperature sensor and the like, the data acquisition of the multi-element energy storage equipment is realized, then the state of the multi-element energy storage equipment is simulated in the digital twin model based on an equivalent mapping mode, the supervision of the multi-element energy storage equipment can be realized through the states and the data, the supervision data is the data for supervising whether the multi-element energy storage equipment is abnormal, and the reliability evaluation model is realized through various evaluation items, for example: and processing and evaluating data such as voltage stability, loss rate, temperature and the like, and judging whether the multi-element energy storage equipment is reliable or not.
The beneficial effects of the above technical scheme are that:
the invention can build a digital twin model based on the attribute parameters of the multi-element energy storage equipment, thereby accurately realizing the twin simulation of the multi-element energy storage equipment.
In the above technical solution, the reliability evaluation includes the following steps:
step 1: presetting a reference weight parameter, and determining the weight parameter of each evaluation item:
wherein Q is i The weight parameter represents the ith weight evaluation item, and the weight evaluation item can be any one of voltage stability, loss rate, temperature and the like; n weight evaluation items are total; i is an element of n, J i A reference weight parameter representing an ith weight evaluation term; l i A type feature representing the ith weight evaluation item; c. C i A running data value representing an ith weight evaluation term; the specific type and specific data of each type of weight evaluation item are compared with the reference weight parameter to determine the specific weight parameter of each weight evaluation item.
Step 2: according to the weight parameter of each evaluation item, a reliability evaluation model is constructed, and a specific reliability probability value is determined:
wherein P represents a reliability probability value of the energy storage device; k represents the total reliability score of the energy storage device; s j Representing a life evaluation coefficient of a jth energy storage device; l is a radical of an alcohol j Representing the type evaluation coefficient of the jth energy storage device; f. of j Representing the coefficient of evaluation of the repetitive signal of the jth energy storage device.
And 3, step 3: and judging whether the reliability probability value exceeds a preset reference reliability probability parameter or not, and outputting a reliability evaluation result.
In the above technical scheme:
in the step 1: the method calculates the evaluation weight of each evaluation item of the energy storage device, the calculation comprises the type parameter of the type corresponding to each evaluation item and all data generated by the evaluation item, the data volume of all the generated data determines the size of the weight, and the more the residual data volume is, for example, the larger the fluctuation of the current and the voltage is, the larger the influence is. The larger the amount of data is, the more the trend of the data as a whole is judged. Therefore, comprehensive weight calculation is carried out on each type of weight evaluation item and specifically generated data to obtain a corresponding weight value. After each evaluation item is determined, comprehensive evaluation parameters are calculated through each evaluation item, in the process, the corresponding service life, the corresponding type and the repeated fault or abnormality of each energy storage device are introduced, so that the overall state of the energy storage devices is comprehensively evaluated, and the evaluation has the generated data characteristics and the performance state of the sea area energy storage devices is related. Therefore, a specific reliability probability value is determined, whether the risk exists in the energy storage device in the evaluation is judged according to the reliability probability value, and then risk rehearsal and expected monitoring of the energy storage device are achieved.
The beneficial effects of the above technical scheme are that: the risk assessment value of the energy storage equipment can be calculated, whether each energy storage equipment is reliable or not is determined, if not, the data are judged to have problems according to each assessment item, and therefore risk positioning is conducted.
As an alternative embodiment of the invention: the multivariate monitoring module comprises:
data unit: based on the twin energy storage model, carrying out data sampling on real-time operation data of the multi-element energy storage equipment;
a target data determination unit: constructing an information monitoring model, and determining monitoring information by inputting a monitoring target; wherein,
the monitoring target of the information monitoring model comprises the equipment type, the running time, the power data, the energy storage capacity and the equipment model of the multi-element energy storage equipment;
an extraction unit: and dynamically monitoring in the twin energy storage model through the information monitoring model to obtain the corresponding relation between the energy storage equipment entity and the target information contained in the monitoring information.
The principle of the technical scheme is as follows:
as shown in fig. 2, the present invention needs to perform real-time data sampling on different energy storage devices, and continuously collects the device types, operation time, power data, energy storage capacity, and device models of the different energy storage devices, and the twin energy storage model converted by the digital twin model can also display specific information of the different devices, so as to implement single correspondence.
The data unit carries out rapid mapping implantation when the twin energy storage model carries out data acquisition, and the data unit does not need to carry out data type division because of an equivalent mapping mode, only needs to receive mapping information, and after the mapping is received, the data unit plays a role in realizing rapid data implantation. And judging whether the energy storage devices are not starved and collecting the operation data thereof in real time, and judging whether the twin synchronization fails. The information monitoring model is used for rapidly inquiring target data of the multi-element energy storage equipment, so that a monitoring target needs to be input, and after the monitoring information of the multi-element energy storage equipment is acquired, whether the multi-element energy storage equipment is in an energy storage state or not or whether a fault exists or not can be rapidly judged through the corresponding relation between the energy storage equipment entity and the target information.
The beneficial effects of the above technical scheme are that: the twin detection method can realize real-time operation twin detection of the multi-element energy storage equipment, and detection data can be generated in real time based on a twin system. In the aspect of data detection, the invention can realize individualized high-granularity detection and refined data acquisition based on the detection target of the energy storage equipment. The dynamic detection of the energy storage equipment is realized in the twin energy storage model, and the specific detection data of the target detection data can be quickly determined, so that the remote synchronous monitoring is realized.
As an alternative embodiment of the invention: the multivariate monitoring module further comprises:
a channel building unit: the data transmission channel is used for constructing a data transmission channel between the multi-element energy storage device and the twin energy storage model;
a marking unit: obtaining dynamic operation data of the operation time period of the multi-element energy storage equipment, and carrying out initial dynamic marking to obtain a first dynamic mark;
a rule setting unit: the data return response rule is used for setting the twin energy storage model;
a monitoring unit: and dynamically monitoring the multiple energy storage devices according to the data feedback response rule.
The principle of the technical scheme is as follows: as shown in fig. 2, for each energy storage device, the energy storage device has a single transmission channel with a twin energy storage model, and a response is transmitted back after data transmission, so that the safety of data transmission can be ensured, and the accuracy of data transmission can be ensured.
The data transmission channel of the invention is that each device has an independent data transmission channel, and the data transmission channel has a plurality of data transmission links of different types, thereby realizing the rapid transmission of the data of different types. The initial dynamic marking is to record data of the multi-element energy storage device at the initial monitoring moment, so that the operation change data of the multi-element energy storage device can be rapidly judged, the amplitude of data change is small, and whether a fault exists is judged, so that the first dynamic marking is carried out. The data returning and responding rule is that the operating data of each energy storage device is transmitted to the multivariate monitoring module or the cloud, so that whether each energy storage device is in data transmission or not can be judged, whether the energy storage device is in data file failure or not can be judged according to the data returning and responding rule, whether the data transmission is correct or not can be judged according to the data returning and responding rule, the data returning and responding rule comprises a returning and feedback rule and a returning and verifying rule, the returning and feedback rule is that after data transmission, a mark can be returned, whether the data is transmitted or not can be judged through the mark, and the data transmission mark is a time mark and can also be used as a returning and verifying rule when the data returning and responding rule is implemented.
The invention has the beneficial effects that: the data transmission channel constructed by the invention can realize single-pair single-point and point-to-point transmission of data, thereby realizing data synchronization of the twin energy storage model, and can quickly judge whether the data is in a problem or not through the initial dynamic mark, thereby judging whether the energy storage equipment is in a fault or not. The final feedback response rule can realize the verification of whether the data transmission is finished and the correctness of the data transmission.
As an alternative embodiment of the invention: the multivariate control module comprises:
a distributed connection unit: the distributed nodes are used for setting each energy storage device in the twin energy storage model, and the power range of each energy storage device is set through the distributed nodes;
a steady-state unit: the method comprises the steps of determining a steady-state operation mode of each energy storage device through a power range;
little electric wire netting control unit: the micro-grid intelligent distribution central hub is used as an intelligent distribution central hub of the micro-grid in a steady-state operation mode, and the intelligent distribution central hub regulates and controls the power output information of the multi-energy storage equipment.
The principle of the technical scheme is that as shown in fig. 2, the power range of each energy storage device is set, the steady state supervision of each energy storage device is realized through the power range, and the energy storage power is intelligently distributed to each energy storage device through the steady state supervision.
According to the invention, each energy storage device is a distributed node, and the power range of each distributed node can quickly judge whether the voltage is too high or too low when the energy storage device exceeds the power range, so that the energy storage device has large faults such as ignition and the like. The steady-state unit is a control parameter for determining a steady-state operation mode of each energy storage device, that is, for controlling each energy storage device to perform steady-state charging or outputting power to the load device. Little electric wire netting control power through every energy storage equipment's control parameter, carries out the independent control to every energy storage equipment through central pivot, realizes the central management and control of every energy storage equipment's power output.
The beneficial effects of the above technical scheme are that:
the invention can carry out power limitation according to the power range of each energy storage device, prevent major accidents, and determine the steady-state operation parameters of each energy storage device, thereby controlling each energy storage device to carry out power supply operation and charging operation according to the steady-state operation parameters through the central hub.
As an alternative embodiment of the invention: the power distribution strategy comprises:
a sampling unit: sampling energy storage data of different energy storage devices through a digital twin model, and determining total input power;
a calculation unit: calculating balance power according to the total input power;
a distribution unit: carrying out spectrum analysis on the balance power, and carrying out power distribution on the multi-element energy storage equipment on a frequency domain according to the characteristics of the multi-element energy storage equipment;
a solving unit: the device is used for determining time domain power corresponding to different energy storage devices through inverse Fourier transform;
a scheme construction unit: and determining a balance point of the energy storage capacity and the power supply balance of different energy storage equipment according to the time domain power, and determining a final energy storage configuration scheme.
The principle of the technical scheme is as follows:
as shown in fig. 3, the present invention can perform spectrum analysis on the power of the energy storage device through a digital twin model, perform intelligent power allocation in the case of spectrum analysis, and determine a power balance point in each time domain based on inverse fourier transform, thereby ensuring power supply balance through the balance point.
The total input power is the total input power of all energy storage devices, namely the power during charging, because the total power of an external charging power supply is fixed, namely the input electric energy is fixed, the power of each energy storage device needs to be distributed, so that the balance power needs to be calculated, the energy storage devices are subjected to spectrum analysis, the power spectrum of each energy storage device is determined, the optimal charging power of each energy storage device can be determined in a chart form according to the power spectrum, the power distribution can be carried out on the energy storage devices, and the purpose of inverse Fourier transform is to adjust the time domain power of the energy storage devices. The inverse Fourier transform is used for determining the time domain power of the energy storage equipment, the time domain power represents the real-time power at different moments, after the time domain power is determined, the energy storage capacity of each energy storage equipment at each moment can be determined through the time domain power, and after the power supply balance point is determined through the balance power calculation, the power supply balance point of the energy storage equipment can be determined, so that the electric energy distribution of an external power supply is determined, and the energy storage configuration parameters of each energy storage equipment, namely the energy storage configuration scheme, are determined.
The beneficial effects of the above technical scheme are that:
the invention can realize the real-time acquisition of the input power of the energy storage equipment, determine the real-time power of the external charging equipment, determine the total power of the energy storage equipment through the real-time power, then determine the balance power of different energy storage equipment through the total power, and realize the spectrum analysis through the balance power, thereby realizing the average distribution of electric energy during charging and optimizing the charging parameters of different energy storage equipment.
As an alternative embodiment of the invention: the multivariable control module further comprises:
a grid connection unit: the grid-connected switch is used for setting a grid-connected switch between the energy storage equipment and the microgrid; wherein,
the grid-connected switch comprises: a first controller, a second controller, and a third controller;
the first controller is used for controlling the input power of the energy storage equipment and carrying out input control;
the second controller is used for controlling the output power of the energy storage equipment and carrying out output control;
the third controller is used for performing switching control on the first controller and the second controller; wherein,
the handover control includes: comparing the input power and the output power of the energy storage device; wherein,
when the input power is larger than the output power, controlling the first controller to be in a silent mode and controlling the second controller to be in a voltage stabilizing mode;
and when the input power is smaller than the output power, determining a power difference value, determining the change trend of the power difference value, and when the change trend of the power difference value is increased, determining the available power supply time of the energy storage equipment, and generating a power supply switching instruction in the second control according to the available power supply time.
The principle of the technical scheme is as follows: the multi-element control module controls input and output of the energy storage equipment in order to control the connection relation between the energy storage equipment and the microgrid, and prevents insufficient electric quantity in the energy storage equipment. Or the input electric quantity and the output electric quantity are not in a balanced state, so that the energy storage device is in a power shortage state. The input control of the first control is to control the charging of the energy storage device and acquire the electric energy input information of the energy storage device. The second controller controls the output information of the energy storage device, i.e. supplies power to the load device. The third controller controls the first controller and the second controller, the silent mode is that the first controller is in a silent state as long as the input power is always greater than the output power, other instructions cannot be received, a control instruction cannot be generated, and power-on is realized only when the input power is less than or equal to the output power. When the input power is smaller than the output power, the power difference value can be determined, namely the input and output difference value is input, and more or less electric energy in the energy storage device is judged through the input and output difference value, namely the variation trend becomes smaller or larger, so that the power supply time can be calculated, and the energy storage device is switched to supply power to the load through the power supply time.
The beneficial effects of the above technical scheme are that:
the invention can quickly control the input and the output of the energy storage equipment, judge whether the energy storage equipment can supply power to the load equipment or not, and realize the delayed switching of the energy storage equipment if the trend of the energy storage equipment is that the energy storage equipment can not supply enough electric energy to the load equipment gradually, thereby delaying the switching process.
As an alternative embodiment of the invention: the multi-cell energy storage module comprises:
an acquisition unit: acquiring target output power and real-time output power of the energy storage equipment;
a calculation unit: calculating a real-time difference between the target output power and a real-time output power;
an adjusting unit: and determining the adjustment degree of the attenuation value of the energy storage equipment according to the real-time difference value.
The principle of the technical scheme is that as shown in fig. 2, the invention is further used for determining the attenuation value of the energy storage device according to the real-time difference value of the target output power and the real-time output power of the energy storage device, wherein the attenuation value is an electric quantity attenuation value, and the attenuation value is adjusted through the attenuation value.
According to the multi-element energy storage module, the obtaining unit is used for calculating the real output power and the target output power of the energy storage device, namely, when the multi-element energy storage module supplies power to the load device, the real output power and the target output power are output, calculation is convenient, loss in the output process can be judged according to the loss, the attenuation condition of the energy storage device in the operation process can be judged, and the charging power of the energy storage device can be adjusted according to the attenuation condition. Meanwhile, the attenuation value is adjusted to judge the loss reason of the energy storage device when the load device is powered on, and the attenuation value is adjusted according to the loss reason.
The beneficial effects of the above technical scheme are that: the invention can reduce the loss of the energy storage equipment in the operation process, reduce the charging loss of the energy storage equipment, and simultaneously can adjust the charging parameters in real time according to the energy storage loss.
As an alternative embodiment of the invention: the system further comprises:
a model building unit: the empirical model is used for constructing the empirical model of each energy storage device according to the functional characteristics of each energy storage device;
a learning unit: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring historical energy storage data and historical state data of different energy storage devices;
a prediction unit: and setting a mapping relation table of the battery state, and predicting the expected life of each energy storage device through the learned empirical model and the mapping relation table.
The principle of the technical scheme is as follows: as shown in the attached figure 1, the invention can establish an empirical model of the energy storage equipment based on the deep neural network according to the functional characteristics of the energy storage equipment, and predict the service life of each energy storage equipment through the empirical model, so as to prevent the energy storage equipment from reaching the scrapping standard and being incapable of confirming scrapping.
The service life of the energy storage equipment is only expected under the general condition, the accurate expectation of the service life of the energy storage equipment cannot be realized, and whether the energy storage equipment is in a scrapped state or not is difficult to judge. According to the invention, an experience model of the energy storage equipment is constructed according to the functional characteristics of the energy storage equipment, namely, the material characteristics, the loss characteristics, the charging times, the discharging times, the charging time, the discharging time, the historical service life characteristics and other multiple characteristics, wherein the experience model is a service life prediction model constructed by adding the self parameters of the energy storage equipment and the characteristic parameters of the historical energy storage equipment use data, and the real-time state embodied by the real-time data of each energy storage equipment can be judged through the learning of a learning unit. Therefore, a mapping relation table is generated, the real-time state of the energy storage equipment can be judged according to the real-time data, and the expected life of each energy storage equipment is predicted.
The beneficial effects of the above technical scheme are that:
the invention can predict the expected service life of the energy storage equipment, judge the expected scrapping time of the energy storage equipment and judge whether the energy storage equipment is scrapped or not, thereby preventing the energy storage equipment from being scrapped, also needing to judge whether the energy storage equipment can be normally used or not by human experience, and considering that the energy storage equipment has an internal fault instead of the service life when the energy storage equipment has a fault.
As an alternative embodiment of the invention: the system further comprises:
a difference unit: the characteristic value difference calculation method comprises the steps of respectively extracting the characteristic value of each energy storage equipment running dynamic image through an empirical model, and calculating the characteristic value difference ratio based on the characteristic values of the energy storage equipment reference running images;
traversing unit: the energy storage device comprises a pixel point used for traversing each energy storage device to run a dynamic image, reading the color value of the pixel point, and screening an image area with a characteristic difference value based on the color value;
a warning unit: and generating warning information corresponding to the time period through the image area.
The principle of the technical scheme is that as shown in fig. 3, the empirical model of the invention can determine the characteristic value of each energy storage device, generate the running dynamic image of each energy storage device according to the characteristic value, and warn the device through the dynamic running image of the device. And (3) operating the characteristic values of the dynamic images, namely forming a plurality of operating curves of the operating parameters of the energy storage device, wherein the operating curves are curves based on a time axis, extracting the characteristic values through the operating curves, and calculating the obtained difference ratio which is the deviation between the operating data and the reference data of the energy storage device. The traversal unit is used for accurately determining the time point of the occurrence of the deviation according to the difference value of each pixel point after the dynamic motion image of the energy storage device is imaged, so that the corresponding time period is extracted, and an alarm is given out.
The beneficial effects of the above technical scheme are that: the invention can judge whether the energy storage equipment has faults or not by knowing the specific deviation value when the energy storage equipment has faults or the operation has deviations at the time point or the time period.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A hybrid energy storage system based on multi-element energy storage and control, comprising:
the multivariate monitoring module: the device is used for carrying out real-time twin monitoring on the multi-element energy storage equipment through the twin energy storage model;
the multivariate control module: the device is used for regulating and controlling the power input information of the multi-element energy storage equipment through the twin monitoring information and the microgrid management end to determine an electric energy distribution strategy;
the multi-element energy storage module: for regulating the input power to each energy storage device in accordance with an electrical energy distribution strategy.
2. A multiple-unit energy storage and control based hybrid energy storage system according to claim 1, wherein said system further comprises:
a model building module: the method comprises the steps of obtaining attribute parameters of the multi-element energy storage equipment to establish a twin energy storage model of the multi-element energy storage equipment; wherein,
the multiple energy storage device comprises: the system comprises a super capacitor energy storage device, a battery energy storage device and a superconducting energy storage device;
the attribute parameters include: the electric energy output parameters, the electric energy input parameters and the real-time residual electric energy;
a data mapping module: establishing real-time data acquisition of the digital twin model and the multi-element energy storage equipment to form equivalent mapping of the multi-element energy storage equipment and the digital twin model;
a twin prediction module: the monitoring system is used for carrying out input and output monitoring on the multi-element energy storage equipment through a digital twin model, and determining monitoring data according to the input and output monitoring;
a reliability evaluation module: the method is used for constructing a reliability evaluation model and carrying out reliability state evaluation on the running state of the multi-element energy storage equipment.
3. A multi-element energy storage and control based hybrid energy storage system according to claim 1, wherein the multi-element monitoring module comprises:
data unit: based on the twin energy storage model, carrying out data sampling on real-time operation data of the multi-element energy storage equipment;
a target data determination unit: constructing an information monitoring model, and determining monitoring information by inputting a monitoring target; wherein,
the monitoring target of the information monitoring model comprises the equipment type, the running time, the power data, the energy storage capacity and the equipment model of the multi-element energy storage equipment;
an extraction unit: and dynamically monitoring in the twin energy storage model through the information monitoring model to obtain the corresponding relation between the energy storage equipment entity and the target information contained in the monitoring information.
4. A hybrid energy storage system based on multivariate energy storage and control as defined in claim 1, wherein the multivariate monitoring module further comprises:
a channel building unit: the data transmission channel is used for constructing a data transmission channel between the multi-element energy storage device and the twin energy storage model;
a marking unit: obtaining dynamic operation data of the operation time period of the multi-element energy storage equipment, and carrying out initial dynamic marking to obtain a first dynamic mark;
a rule setting unit: the data return response rule is used for setting the twin energy storage model;
a monitoring unit: and dynamically monitoring the multiple energy storage devices according to the data feedback response rule.
5. A multi-element energy storage and control based hybrid energy storage system according to claim 1, wherein the multi-element control module comprises:
a distributed connection unit: the distributed nodes are used for setting each energy storage device in the twin energy storage model, and the power range of each energy storage device is set through the distributed nodes;
a steady-state unit: the method comprises the steps of determining a steady-state operation mode of each energy storage device through a power range;
little electric wire netting control unit: the micro-grid intelligent distribution central hub is used as an intelligent distribution central hub of the micro-grid in a steady-state operation mode, and the intelligent distribution central hub regulates and controls the power output information of the multi-energy storage equipment.
6. The multi-element energy storage and control based hybrid energy storage system of claim 1, wherein the power distribution strategy comprises:
a sampling unit: sampling energy storage data of different energy storage devices through a digital twin model, and determining total input power;
a calculation unit: calculating balance power according to the total input power;
a distribution unit: carrying out spectrum analysis on the balance power, and carrying out power distribution on the multi-element energy storage equipment on a frequency domain according to the characteristics of the multi-element energy storage equipment;
a solving unit: the device comprises a power source, a power output module and a power output module, wherein the power source is used for determining time domain power corresponding to different energy storage devices through Fourier inverse transformation;
a scheme construction unit: and determining a balance point of the energy storage capacity and the power supply balance of different energy storage equipment according to the time domain power, and determining a final energy storage configuration scheme.
7. A multiple unit energy storage and control based hybrid energy storage system according to claim 1, wherein the multiple unit control module further comprises:
a grid connection unit: the grid-connected switch is used for setting a grid-connected switch between the energy storage equipment and the microgrid; wherein,
the grid-connected switch comprises: a first controller, a second controller and a third controller;
the first controller is used for controlling the input power of the energy storage equipment and carrying out input control;
the second controller is used for controlling the output power of the energy storage equipment and carrying out output control;
when the input power is larger than the output power, controlling the first controller to be in a silent mode and controlling the second controller to be in a voltage stabilizing mode;
and when the input power is smaller than the output power, determining a power difference value, determining the change trend of the power difference value, and when the change trend of the power difference value is increased, determining the available power supply time of the energy storage equipment, and generating a power supply switching instruction in the second control according to the available power supply time.
8. A multiple energy storage and control based hybrid energy storage system according to claim 1, wherein the multiple energy storage module comprises:
an acquisition unit: acquiring target output power and real-time output power of the energy storage equipment;
a calculation unit: calculating a real-time difference between the target output power and a real-time output power;
an adjusting unit: and determining the adjustment degree of the attenuation value of the energy storage equipment according to the real-time difference value.
9. A multiple-unit energy storage and control based hybrid energy storage system according to claim 1, wherein said system further comprises:
a model building unit: the energy storage device model building method comprises the steps of building an empirical model of each energy storage device according to the functional characteristics of each energy storage device;
a learning unit: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring historical energy storage data and historical state data of different energy storage devices;
a prediction unit: and setting a mapping relation table of the battery state, and predicting the expected life of each energy storage device through the learned empirical model and the mapping relation table.
10. A multiple-unit energy storage and control based hybrid energy storage system according to claim 1, wherein said system further comprises:
a difference unit: the system comprises an empirical model, a characteristic value calculation module, a characteristic value comparison module and a characteristic value comparison module, wherein the empirical model is used for respectively extracting the characteristic value of each energy storage equipment running dynamic image and calculating the characteristic value difference ratio based on the characteristic value of the energy storage equipment reference running head portrait;
a traversing unit: the energy storage device comprises a pixel point used for traversing each energy storage device to run a dynamic image, reading the color value of the pixel point, and screening an image area with a characteristic difference value based on the color value;
a warning unit: and the warning information corresponding to the time period is generated through the image area.
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| CN115514100B8 (en) | 2023-06-20 |
| CN115514100B (en) | 2023-05-30 |
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Address after: 518000, 2nd Floor, Building 2, Tongchan New Materials Industrial Park, No. 28 Langshan Road, Songpingshan Community, Xili Street, Nanshan District, Shenzhen, Guangdong Province Patentee after: Shenzhen Kubo Energy Co.,Ltd. Address before: 518057 2nd floor, building 2, TONGCHAN new materials Industrial Park, 28 Langshan Road, Shahe street, Nanshan District, Shenzhen City, Guangdong Province Patentee before: SHENZHEN KUBO ENERGY SCIENCE & TECHNOLOGY Co.,Ltd. |
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Correction item: Patentee; Address; Patent agency; Patent Agent Correct: Shenzhen Kubo Energy Co.,Ltd.|518000, 2nd Floor, Building 2, Tongchan New Materials Industrial Park, No. 28 Langshan Road, Songpingshan Community, Xili Street, Nanshan District, Shenzhen, Guangdong Province|Beijing Pinyuan Patent Agency Co., Ltd. 11332|Pandon False: SHENZHEN KUBO ENERGY SCIENCE & TECHNOLOGY Co.,Ltd.|518057 2nd floor, building 2, TONGCHAN new materials Industrial Park, 28 Langshan Road, Shahe street, Nanshan District, Shenzhen City, Guangdong Province|Beijing Guanhequan Law Firm 11399|Zhang Shupeng Number: 22-01 Page: The title page Volume: 39 Correction item: Patentee; Address; Patent agency; Patent Agent False: SHENZHEN KUBO ENERGY SCIENCE & TECHNOLOGY Co.,Ltd.|518057 2nd floor, building 2, TONGCHAN new materials Industrial Park, 28 Langshan Road, Shahe street, Nanshan District, Shenzhen City, Guangdong Province|Beijing Guanhequan Law Firm 11399|Zhang Shupeng Number: 22-01 Volume: 39 |
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