CN117040132A - AI intelligent management system based on energy storage of power utilization system - Google Patents
AI intelligent management system based on energy storage of power utilization system Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
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Abstract
The application discloses an AI intelligent management system based on energy storage of an electricity utilization system, which comprises an information acquisition unit, a load analysis unit, a power adjustment unit, an adjustment monitoring unit, an electric quantity analysis unit, a self-loss analysis unit, a verification unit and an information output unit.
Description
Technical Field
The application relates to the technical field of power utilization systems, in particular to an AI intelligent management system based on power utilization system energy storage.
Background
The power utilization system is a system which is composed of a power supply system and a power transmission and distribution system and is used for generating electric energy and supplying and delivering the electric energy to electric equipment.
According to the patent of application number CN202110051141.6, the patent includes switch group, undervoltage overcurrent protector, air switch, first relay, second relay, third relay, first time control circuit module, second time control circuit module, switching power supply module, load module and energy storage module: the electrical output end of the switch group is electrically connected with the electrical input end of the overvoltage/undervoltage overcurrent protector through a wire, and the third relay module, the second relay module and the energy storage module are interacted through the second time control circuit module to store energy. Through the interaction of the first time control circuit module, the second relay module, the third relay module and the energy storage module, the energy release of the load module by the energy storage module is completed. In conclusion, the AI intelligent management of the electric energy, energy conservation, emission reduction, low carbon and environmental protection can be achieved.
Part of the existing management systems are used for monitoring the charging and discharging processes of the power utilization system, and timely early warning treatment is carried out when problems occur, but reasonable analysis cannot be carried out on the power utilization system, and due to the fact that the power utilization system is used for a long time and self loss is added, the overall performance is reduced, meanwhile, the problem of the power utilization system cannot be found timely, and therefore the problem of overall efficiency reduction can be caused in the subsequent use process.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides an AI intelligent management system based on energy storage of a power utilization system, which solves the problems that reasonable analysis cannot be carried out on the power utilization system, the power utilization system cannot be found timely, and the overall efficiency is reduced.
In order to achieve the above purpose, the application is realized by the following technical scheme: AI intelligent management system based on with electric system energy storage includes:
an information acquisition unit configured to acquire target object basic information, where the target object includes: energy storage battery, basic information includes: maximum power, an electric quantity value and an electric quantity remaining value, and transmitting basic information of a target object to an intelligent management center;
the intelligent management center comprises a first module and a second module, wherein the first module comprises a load analysis unit, a power adjustment unit and an adjustment monitoring unit, and the second module comprises an electric quantity analysis unit, a self-loss analysis unit, a data storage unit and a verification determination unit;
the load analysis unit is used for acquiring and analyzing the transmitted basic information of the target object, judging whether the target object has an overload condition or not by acquiring the real-time power of the target object, generating load analysis information at the same time, wherein the load analysis information comprises overload work information and normal work information, and transmitting the load analysis information to the power regulation unit;
the power adjusting unit is used for acquiring and analyzing the transmitted load analysis information, judging the working state of the working equipment by analyzing the power of the working equipment of the target object load, carrying out different adjustment on different working states, generating power adjustment information at the same time, and transmitting the power adjustment information to the adjustment monitoring unit;
the adjusting and monitoring unit is used for acquiring and analyzing the transmitted power adjusting information, and generating corresponding adjusting and monitoring information by monitoring the power of the target object adjusted by the working equipment, wherein the adjusting and monitoring information comprises: monitoring normal signals and abnormal signals, and transmitting adjustment monitoring information to an information output unit;
the electric quantity analysis unit is used for acquiring and analyzing the transmitted basic information of the target object, and judging the battery state condition of the target object by analyzing and calculating the electric quantity remaining in the basic information of the target object, wherein the battery state condition comprises the following steps: a battery normal signal and a battery abnormal signal, and then transmitting the battery abnormal signal to a self-loss analysis unit;
the self-loss analysis unit is configured to analyze the obtained abnormal battery signal, calculate a power consumption factor of the target object according to the calculated power consumption Dn and the total power consumption DLz, and then obtain a history record stored in the data storage unit to analyze the calculated power consumption factor of the target object, and generate self-loss analysis information, where the self-loss analysis information includes: a self-loss abnormal signal and a self-loss normal signal, and transmitting them to an information output unit;
the verification unit is used for acquiring and analyzing the transmitted self-loss analysis information, judging the storage condition of the target object by analyzing the charging time of the target object, and generating energy storage information, wherein the energy storage information comprises: the energy storage is normal and abnormal, and the energy storage information is transmitted to the information output unit.
As a further aspect of the application: the specific way of generating the load analysis information by the load analysis unit is as follows:
and acquiring real-time power of the target object and recording the real-time power as GLs, recording the maximum power of the target object as GLz, comparing the real-time power with the maximum power of the target object, judging that the target object is in overload operation by the system and generating overload operation information when GLs is more than or equal to GLz, and otherwise judging that the target object is in normal operation and generating normal operation information by the system when GLs is less than GLz.
As a further aspect of the application: the specific way of generating the power adjustment information by the power adjustment unit is as follows:
s1: acquiring working equipment of all loads of a target object, performing label processing on the working equipment and marking the working equipment as i, wherein i=1, 2, … and n, acquiring real-time power of all the working equipment and marking the real-time power as Li, and correspondingly acquiring rated power of all the working equipment and marking the rated power as Ei;
s2: comparing the real-time power Li of the working equipment with the rated power Ei, when Li > Ei, judging that the working equipment corresponding to the mark i works abnormally, marking the working equipment corresponding to the mark i as abnormal equipment, and generating an abnormal signal, otherwise, when Li is less than or equal to Ei, judging that the system works normally, and generating a normal signal; what needs to be explained here is: the rated power of the working equipment is obtained through the nameplate arranged on the corresponding working equipment, the power on the nameplate is recorded as the rated power, and the real-time power is smaller than the rated power, so that the working equipment works normally by default.
S3: and then, analyzing the abnormal equipment corresponding to the abnormal signal, calculating the power difference between the real-time power Li and the rated power Ei, recording the power difference as Ci, and generating power regulation information.
As a further aspect of the application: the specific mode of the adjustment monitoring unit for generating the adjustment monitoring information is as follows:
and acquiring real-time power of the target object regulated by the working equipment and recording the real-time power as HLs, acquiring maximum power GLz of the target object, comparing the power GLz with the maximum power, judging that the target object is abnormal and generating a monitoring abnormal signal by the system when HLs is more than or equal to GLz, and otherwise judging that the target object is normal and generating a monitoring normal signal by the system when HLs is less than GLz.
As a further aspect of the application: the specific way of generating the battery state condition by the electric quantity analysis unit is as follows:
p1: obtaining an electric quantity remaining value of a target object, taking the electric quantity remaining value as Ds and an electric quantity value Dz, obtaining a working time mark of the target object as T, substituting Ds and Dz into a formula Dn=dz-Ds, and calculating to obtain electric quantity Dn in the working time T; it should be noted here; the power value Dz is expressed as a total power storage value of the target object, and defaults to 100% of the power storage value of the target object.
P2: then acquiring the real-time power Li of all the working devices, acquiring the corresponding working time marks of all the working devices as ti, substituting the real-time power Li and the working time ti into a formula DL=Li×ti to calculate to obtain the power consumption of all the working devices, and then calculating the total power consumption of all the devices as DLz;
p3: the total power consumption DLz of all the devices and the power consumption Dn of the target object are compared in the following specific comparison mode:
p31: calculating the difference between the total power consumption DLz and the power consumption Dn, recording the difference as a power consumption difference Dh, and comparing the power consumption difference Dh with a preset value YS;
p32: when Dh > YS, the system judges that the actual power consumption exceeds the normal power consumption range and generates a battery abnormal signal, otherwise when Dh is less than or equal to YS, the system judges that the actual power consumption is within the normal power consumption range and generates a battery normal signal, and the following needs to be described: the preset value YS is expressed as a range value of self-loss under normal operation.
As a further aspect of the application: the specific mode of the self-loss analysis unit generating self-loss analysis information is as follows:
a1: substituting the power consumption Dn and the total power consumption DLz into the formulaCalculating to obtain a self-loss factor m of the target object;
a2: next, a history is obtained, wherein the history comprises: storing electric quantity and working time, recording the stored electric quantity as Dy, recording the working time as Tg, and substituting the two into a formulaCalculating to obtain a discharge speed and recording the discharge speed as SD; what needs to be explained here is: in the application, the charging speed and the power consumption speed are the same by default, and the working time is represented as the time for outputting all the stored electric quantity when working.
A3: comparing the calculated discharge velocity SD with the standard velocity SDz, and substituting the two into the formulaAnd calculating a self-loss factor n, and then comparing n with m to judge the change condition of the self-loss factor of the target object, wherein the specific comparison mode is as follows:
calculating the difference value of n and m as a self-loss variation difference value h, comparing the self-loss variation difference value with a preset value Y, judging that a target object is normal and generating a self-loss normal signal by the system when h is less than or equal to Y, and judging that the target object is abnormal and generating a self-loss abnormal signal by the system when h is more than Y. What needs to be explained here is: the preset value Y represents the self-damage change value of the battery under normal conditions, if the calculated self-damage change difference value h does not exceed the preset value Y, the self-damage condition of the battery is represented as normal, otherwise, if the calculated self-damage change difference value h exceeds the preset value Y, the self-damage condition of the battery is represented as abnormal.
As a further aspect of the application: the specific mode of the verification unit for generating the energy storage information is as follows:
b1: acquiring a target object electric quantity remaining value as SY, acquiring a target object charging time length as Ps, acquiring a target object charging speed as Q, and substituting SY and Q into a formula P=Q×SY to obtain a calculated charging time length P;
b2: and comparing Ps with P, calculating a difference between the Ps and the P to be used as a charging difference Pc, and Pc= |Ps-P|, then comparing Pc with a threshold Py, when Pc > Py, judging that the battery is abnormal in energy storage and generating an energy storage abnormal signal by the system, otherwise, judging that the battery is normal in energy storage and generating an energy storage normal signal by the system when Pc is less than or equal to Py.
As a further aspect of the application: the information output unit is used for acquiring the transmitted regulation monitoring information, self-loss analysis information and energy storage information and displaying the regulation monitoring information, the self-loss analysis information and the energy storage information to an operator through the display equipment.
Advantageous effects
The application provides an AI intelligent management system based on energy storage of an electricity utilization system. Compared with the prior art, the method has the following beneficial effects:
according to the application, the self energy storage condition of the power utilization system is analyzed by combining the data of the power utilization system, the self loss factor of the power utilization system is judged according to the working time under different conditions, and the whole is analyzed aiming at the calculated self loss factor, so that the aim of carrying out whole early warning analysis on the power utilization system is fulfilled, and meanwhile, timely information output is carried out aiming at the situation of serious self loss, and workers are reminded to carry out reasonable maintenance operation.
The application judges the whole working state of the power utilization system according to the real-time working power and the maximum working power of the power utilization system, carries out different analyses aiming at different working states, and adjusts the working power of the whole power utilization system by adjusting the load equipment so as to ensure the whole stable work.
Drawings
FIG. 1 is a block diagram of a system of the present application;
FIG. 2 is a process diagram of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present 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.
Referring to fig. 1 and 2, the present application provides an AI intelligent management system based on energy storage of an electrical system, including:
an information acquisition unit configured to acquire target object basic information, where the target object includes: energy storage battery, basic information includes: maximum power, electric quantity value and electric quantity remaining value, and transmitting basic information of the target object to the intelligent management center.
The intelligent management center comprises a first module and a second module, wherein the first module comprises a load analysis unit, a power adjustment unit and an adjustment monitoring unit, the load analysis unit, the power adjustment unit and the adjustment monitoring unit are in unidirectional electrical connection, and the second module comprises an electric quantity analysis unit, a self-loss analysis unit, a data storage unit and a verification determination unit.
The load analysis unit is used for acquiring and analyzing the transmitted basic information of the target object, judging whether the target object has an overload condition or not through acquiring the real-time power of the target object, and generating load analysis information at the same time, wherein the load analysis information comprises overload work information and normal work information, the load analysis information is transmitted to the power adjustment unit, and the specific mode for generating the load analysis information is as follows:
and acquiring real-time power of the target object and recording the real-time power as GLs, recording the maximum power of the target object as GLz, comparing the real-time power with the maximum power of the target object, judging that the target object is in overload operation by the system and generating overload operation information when GLs is more than or equal to GLz, and otherwise judging that the target object is in normal operation and generating normal operation information by the system when GLs is less than GLz.
The power adjusting unit is used for acquiring and analyzing the transmitted load analysis information, judging the working state of the working equipment by analyzing the power of the working equipment of the target object load, carrying out different adjustment on different working states, generating power adjustment information at the same time, transmitting the power adjustment information to the adjustment monitoring unit, and generating the power adjustment information in the following specific modes:
s1: acquiring working equipment of all loads of a target object, performing label processing on the working equipment and marking the working equipment as i, wherein i=1, 2, … and n, acquiring real-time power of all the working equipment and marking the real-time power as Li, and correspondingly acquiring rated power of all the working equipment and marking the rated power as Ei;
s2: comparing the real-time power Li of the working equipment with the rated power Ei, when Li > Ei, judging that the working equipment corresponding to the mark i works abnormally, marking the working equipment corresponding to the mark i as abnormal equipment, and generating an abnormal signal, otherwise, when Li is less than or equal to Ei, judging that the system works normally, and generating a normal signal; what needs to be explained here is: the rated power of the working equipment is obtained through the nameplate arranged on the corresponding working equipment, the power on the nameplate is recorded as the rated power, and the real-time power is smaller than the rated power, so that the working equipment works normally by default.
S3: and then, analyzing the abnormal equipment corresponding to the abnormal signal, calculating the power difference between the real-time power Li and the rated power Ei, recording the power difference as Ci, and generating power regulation information.
The adjusting and monitoring unit is used for acquiring and analyzing the transmitted power adjusting information, and generating corresponding adjusting and monitoring information by monitoring the power of the target object adjusted by the working equipment, wherein the adjusting and monitoring information comprises: monitoring normal signals and abnormal signals, transmitting adjusting monitoring information to an information output unit, and generating the adjusting monitoring information in the following specific modes:
and acquiring real-time power of the target object regulated by the working equipment and recording the real-time power as HLs, acquiring maximum power GLz of the target object, comparing the power GLz with the maximum power, judging that the target object is abnormal and generating a monitoring abnormal signal by the system when HLs is more than or equal to GLz, and otherwise judging that the target object is normal and generating a monitoring normal signal by the system when HLs is less than GLz.
And the information output unit is used for acquiring the transmitted adjustment monitoring information and displaying the adjustment monitoring information to an operator through the display equipment.
In the second embodiment, the difference between the second embodiment and the first embodiment is that the information acquisition unit transmits the basic information of the target object to the electric quantity analysis unit, and the electric quantity analysis unit analyzes the target object.
The electric quantity analysis unit is used for acquiring and analyzing the transmitted basic information of the target object, and judging the battery state condition of the target object by analyzing and calculating the electric quantity remaining in the basic information of the target object, wherein the battery state condition comprises the following steps: the battery normal signal and the battery abnormal signal are then transmitted to the self-loss analysis unit, and the specific manner of generating the battery state condition is as follows:
p1: obtaining an electric quantity remaining value of a target object, taking the electric quantity remaining value as Ds and an electric quantity value Dz, obtaining a working time mark of the target object as T, substituting Ds and Dz into a formula Dn=dz-Ds, and calculating to obtain electric quantity Dn in the working time T; it should be noted here; the power value Dz is expressed as a total power storage value of the target object, and defaults to 100% of the power storage value of the target object.
P2: then acquiring the real-time power Li of all the working devices, acquiring the corresponding working time marks of all the working devices as ti, substituting the real-time power Li and the working time ti into a formula DL=Li×ti to calculate to obtain the power consumption of all the working devices, and then calculating the total power consumption of all the devices as DLz;
p3: the total power consumption DLz of all the devices and the power consumption Dn of the target object are compared in the following specific comparison mode:
p31: calculating the difference between the total power consumption DLz and the power consumption Dn, recording the difference as a power consumption difference Dh, and comparing the power consumption difference Dh with a preset value YS;
p32: when Dh > YS, the system judges that the actual power consumption exceeds the normal power consumption range and generates a battery abnormal signal, otherwise when Dh is less than or equal to YS, the system judges that the actual power consumption is within the normal power consumption range and generates a battery normal signal. What needs to be explained here is: the preset value YS is expressed as a range value of self-loss under normal operation.
The self-loss analysis unit is configured to analyze the obtained abnormal battery signal, calculate a power consumption factor of the target object according to the calculated power consumption Dn and the total power consumption DLz, and then obtain a history record stored in the data storage unit to analyze the calculated power consumption factor of the target object, and generate self-loss analysis information, where the self-loss analysis information includes: the self-loss abnormal signal and the self-loss normal signal are transmitted to the information output unit, and the specific mode of generating self-loss analysis information is as follows:
a1: substituting the power consumption Dn and the total power consumption DLz into the formulaCalculating to obtain a self-loss factor m of the target object;
a2: next, a history is obtained, wherein the history comprises: storing electric quantity and working time, recording the stored electric quantity as Dy, recording the working time as Tg, and substituting the two into a formulaCalculating to obtain a discharge speed and recording the discharge speed as SD; what needs to be explained here is: in the application, the charging speed and the power consumption speed are the same by default, and the working time is represented as the time for outputting all the stored electric quantity when working.
A3: comparing the calculated discharge velocity SD with the standard velocity SDz, and substituting the two into the formulaCalculating a self-loss factor n, and comparing n with m to judge the change condition of the self-loss factor of the target object, wherein the specific comparison mode is as follows;
calculating the difference value of n and m as a self-loss variation difference value h, comparing the self-loss variation difference value with a preset value Y, judging that a target object is normal and generating a self-loss normal signal by the system when h is less than or equal to Y, and judging that the target object is abnormal and generating a self-loss abnormal signal by the system when h is more than Y. What needs to be explained here is: the preset value Y represents the self-damage change value of the battery under normal conditions, if the calculated self-damage change difference value h does not exceed the preset value Y, the self-damage condition of the battery is represented as normal, otherwise, if the calculated self-damage change difference value h exceeds the preset value Y, the self-damage condition of the battery is represented as abnormal.
And the information output unit is used for acquiring the transmitted self-loss analysis information and displaying the self-loss analysis information to an operator through the display equipment.
The third embodiment of the present application is different from the first and second embodiments in that the self-damage analyzing unit transmits the generated self-damage analysis information to the verification unit, and performs analysis verification on the target object by the verification unit.
The verification unit is used for acquiring and analyzing the transmitted self-loss analysis information, judging the storage condition of the target object by analyzing the charging time of the target object, and generating energy storage information, wherein the energy storage information comprises: the energy storage is normal and abnormal, and meanwhile, the energy storage information is transmitted to the information output unit, and the specific mode for specifically generating the energy storage information is as follows:
b1: acquiring a target object electric quantity remaining value as SY, acquiring a target object charging time length as Ps, acquiring a target object charging speed as Q, and substituting SY and Q into a formula P=Q×SY to obtain a calculated charging time length P;
b2: and comparing Ps with P, calculating a difference between the Ps and the P to be used as a charging difference Pc, and Pc= |Ps-P|, then comparing Pc with a threshold Py, when Pc > Py, judging that the battery is abnormal in energy storage and generating an energy storage abnormal signal by the system, otherwise, judging that the battery is normal in energy storage and generating an energy storage normal signal by the system when Pc is less than or equal to Py.
And the information output unit is used for acquiring the transmitted energy storage information and displaying the energy storage information to an operator through the display equipment.
In the fourth embodiment, as the fourth embodiment of the present application, the emphasis is placed on the implementation of the first, second and third embodiments in combination.
Some of the data in the above formulas are numerical calculated by removing their dimensionality, and the contents not described in detail in the present specification are all well known in the prior art.
The above embodiments are only for illustrating the technical method of the present application and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present application may be modified or substituted without departing from the spirit and scope of the technical method of the present application.
Claims (8)
1. AI intelligent management system based on energy storage of power consumption system, its characterized in that includes:
an information acquisition unit configured to acquire target object basic information, where the target object includes: energy storage battery, basic information includes: maximum power, an electric quantity value and an electric quantity remaining value, and transmitting basic information of a target object to an intelligent management center;
the intelligent management center comprises a first module and a second module, wherein the first module comprises a load analysis unit, a power adjustment unit and an adjustment monitoring unit, and the second module comprises an electric quantity analysis unit, a self-loss analysis unit, a data storage unit and a verification determination unit;
the load analysis unit is used for acquiring and analyzing the transmitted basic information of the target object, judging whether the target object has an overload condition or not by acquiring the real-time power of the target object, generating load analysis information at the same time, wherein the load analysis information comprises overload work information and normal work information, and transmitting the load analysis information to the power regulation unit;
the power adjusting unit is used for acquiring and analyzing the transmitted load analysis information, judging the working state of the working equipment by analyzing the power of the working equipment of the target object load, carrying out different adjustment on different working states, generating power adjustment information at the same time, and transmitting the power adjustment information to the adjustment monitoring unit;
the adjusting and monitoring unit is used for acquiring and analyzing the transmitted power adjusting information, and generating corresponding adjusting and monitoring information by monitoring the power of the target object adjusted by the working equipment, wherein the adjusting and monitoring information comprises: monitoring normal signals and abnormal signals, and transmitting adjustment monitoring information to an information output unit;
the electric quantity analysis unit is used for acquiring and analyzing the transmitted basic information of the target object, and judging the battery state condition of the target object by analyzing and calculating the electric quantity remaining in the basic information of the target object, wherein the battery state condition comprises the following steps: a battery normal signal and a battery abnormal signal, and then transmitting the battery abnormal signal to a self-loss analysis unit;
the self-loss analysis unit is configured to analyze the obtained abnormal battery signal, calculate a power consumption factor of the target object according to the calculated power consumption Dn and the total power consumption DLz, and then obtain a history record stored in the data storage unit to analyze the calculated power consumption factor of the target object, and generate self-loss analysis information, where the self-loss analysis information includes: a self-loss abnormal signal and a self-loss normal signal, and transmitting them to an information output unit;
the verification unit is used for acquiring and analyzing the transmitted self-loss analysis information, judging the storage condition of the target object by analyzing the charging time of the target object, and generating energy storage information, wherein the energy storage information comprises: the energy storage is normal and abnormal, and the energy storage information is transmitted to the information output unit.
2. The AI intelligent management system based on energy storage of an electrical system according to claim 1, wherein the specific manner of generating the load analysis information by the load analysis unit is as follows:
and acquiring real-time power of the target object and recording the real-time power as GLs, recording the maximum power of the target object as GLz, comparing the real-time power with the maximum power of the target object, judging that the target object is in overload operation by the system and generating overload operation information when GLs is more than or equal to GLz, and otherwise judging that the target object is in normal operation and generating normal operation information by the system when GLs is less than GLz.
3. The AI intelligent management system based on energy storage of an electrical system according to claim 1, wherein the specific manner of generating the power adjustment information by the power adjustment unit is as follows:
s1: acquiring working equipment of all loads of a target object, performing label processing on the working equipment and marking the working equipment as i, wherein i=1, 2, … and n, acquiring real-time power of all the working equipment and marking the real-time power as Li, and correspondingly acquiring rated power of all the working equipment and marking the rated power as Ei;
s2: comparing the real-time power Li of the working equipment with the rated power Ei, when Li > Ei, judging that the working equipment corresponding to the mark i works abnormally, marking the working equipment corresponding to the mark i as abnormal equipment, and generating an abnormal signal, otherwise, when Li is less than or equal to Ei, judging that the system works normally, and generating a normal signal;
s3: and then, analyzing the abnormal equipment corresponding to the abnormal signal, calculating the power difference between the real-time power Li and the rated power Ei, recording the power difference as Ci, and generating power regulation information.
4. The AI intelligent management system based on energy storage of an electrical system according to claim 1, wherein the specific manner of generating the adjustment monitoring information by the adjustment monitoring unit is as follows:
and acquiring real-time power of the target object regulated by the working equipment and recording the real-time power as HLs, acquiring maximum power GLz of the target object, comparing the power GLz with the maximum power, judging that the target object is abnormal and generating a monitoring abnormal signal by the system when HLs is more than or equal to GLz, and otherwise judging that the target object is normal and generating a monitoring normal signal by the system when HLs is less than GLz.
5. The AI intelligent management system based on energy storage of an electrical system according to claim 1, wherein the specific manner of generating the battery state condition by the electrical quantity analysis unit is as follows:
p1: obtaining an electric quantity remaining value of a target object, taking the electric quantity remaining value as Ds and an electric quantity value Dz, obtaining a working time mark of the target object as T, substituting Ds and Dz into a formula Dn=dz-Ds, and calculating to obtain electric quantity Dn in the working time T;
p2: then acquiring the real-time power Li of all the working devices, acquiring the corresponding working time marks of all the working devices as ti, substituting the real-time power Li and the working time ti into a formula DL=Li×ti to calculate to obtain the power consumption of all the working devices, and then calculating the total power consumption of all the devices as DLz;
p3: the total power consumption DLz of all the devices and the power consumption Dn of the target object are compared in the following specific comparison mode:
p31: calculating the difference between the total power consumption DLz and the power consumption Dn, recording the difference as a power consumption difference Dh, and comparing the power consumption difference Dh with a preset value YS;
p32: when Dh > YS, the system judges that the actual power consumption exceeds the normal power consumption range and generates a battery abnormal signal, otherwise when Dh is less than or equal to YS, the system judges that the actual power consumption is within the normal power consumption range and generates a battery normal signal.
6. The AI intelligent management system based on energy storage of an electrical system according to claim 1, wherein the specific manner of generating the self-loss analysis information by the self-loss analysis unit is as follows:
a1: substituting the power consumption Dn and the total power consumption DLz into the formulaCalculating to obtain a self-loss factor m of the target object;
a2: next, a history is obtained, wherein the history comprises: storing electric quantity and working time, recording the stored electric quantity as Dy, recording the working time as Tg, and substituting the two into a formulaThe discharge velocity is calculated and recorded asSD；
A3: comparing the calculated discharge velocity SD with the standard velocity SDz, and substituting the two into the formulaAnd calculating a self-loss factor n, and then comparing n with m to judge the change condition of the self-loss factor of the target object, wherein the specific comparison mode is as follows:
calculating the difference value of n and m as a self-loss variation difference value h, comparing the self-loss variation difference value with a preset value Y, judging that a target object is normal and generating a self-loss normal signal by the system when h is less than or equal to Y, and judging that the target object is abnormal and generating a self-loss abnormal signal by the system when h is more than Y.
7. The AI intelligent management system based on energy storage of an electrical system according to claim 1, wherein the verification unit generates the energy storage information in the following specific manner:
b1: acquiring a target object electric quantity remaining value as SY, acquiring a target object charging time length as Ps, acquiring a target object charging speed as Q, and substituting SY and Q into a formula P=Q×SY to obtain a calculated charging time length P;
b2: and comparing Ps with P, calculating a difference between the Ps and the P to be used as a charging difference Pc, and Pc= |Ps-P|, then comparing Pc with a threshold Py, when Pc > Py, judging that the battery is abnormal in energy storage and generating an energy storage abnormal signal by the system, otherwise, judging that the battery is normal in energy storage and generating an energy storage normal signal by the system when Pc is less than or equal to Py.
8. The AI intelligent management system based on energy storage of an electrical system according to claim 1, wherein the information output unit is configured to obtain the transmitted adjustment monitoring information, self-loss analysis information and energy storage information, and display the adjustment monitoring information, self-loss analysis information and energy storage information to an operator through a display device.
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