CN115498750B - Intelligent charging management method and system for photovoltaic power supply - Google Patents
Intelligent charging management method and system for photovoltaic power supply Download PDFInfo
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- CN115498750B CN115498750B CN202211459170.7A CN202211459170A CN115498750B CN 115498750 B CN115498750 B CN 115498750B CN 202211459170 A CN202211459170 A CN 202211459170A CN 115498750 B CN115498750 B CN 115498750B
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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
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/18—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for batteries; for accumulators
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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
- H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
- H02J7/00302—Overcharge protection
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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
- H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
- H02J7/00306—Overdischarge protection
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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
- H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
- H02J7/0031—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits using battery or load disconnect circuits
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- 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
- H02J7/0048—Detection of remaining charge capacity or state of charge [SOC]
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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
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/00712—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
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Abstract
The invention discloses an intelligent charging management method and system for a photovoltaic power supply, and relates to the field of electric energy storage, wherein the method comprises the following steps: determining a charging warning value and a discharging warning line based on the basic information of the energy storage battery; determining charging alert probability according to the electric quantity information and the charging alert value; when the charging alert probability reaches a charging preset condition, acquiring charging disconnection information, wherein the charging disconnection information is used for disconnecting the photovoltaic charging source; determining the discharge warning probability according to the electric quantity information and the discharge warning line; and when the discharge warning probability reaches a discharge preset condition, generating discharge disconnection information, wherein the discharge disconnection information is used for disconnecting the power load. The charging management system solves the technical problems that in the prior art, charging management accuracy for the photovoltaic power supply is not enough, comprehensiveness is not high, and further charging management effect of the photovoltaic power supply is not good. Technical effects such as charging management effect that promotes photovoltaic power supply have been reached.
Description
Technical Field
The invention relates to the field of electric energy storage, in particular to an intelligent charging management method and system for a photovoltaic power supply.
Background
The rapid development of scientific technology and the continuous improvement of the living standard of people promote the increasing of energy demand, meanwhile, the non-renewable energy sources such as coal, petroleum and the like are reduced, and the large-scale development and utilization of renewable energy sources such as solar energy and the like are in need. The photovoltaic power supply is used as a novel green renewable energy source and has the advantages of inexhaustibility, no pollution and the like. Photovoltaic power sources have been widely used in many fields such as lighting, power supply, communication, and traffic. In the application process of the photovoltaic power supply, overcharge and overdischarge caused by improper charging management of the photovoltaic power supply occur occasionally, so that the service life of a storage battery is greatly influenced, and the photovoltaic power supply is popularized and used. The method for optimizing the charging management of the photovoltaic power supply is researched and designed, and has very important practical significance.
In the prior art, the charging management accuracy of the photovoltaic power supply is not sufficient, the comprehensiveness is not high, and the charging management effect of the photovoltaic power supply is not good.
Disclosure of Invention
The application provides an intelligent charging management method and system for a photovoltaic power supply. The charging management system solves the technical problems that in the prior art, charging management accuracy for the photovoltaic power supply is not enough, comprehensiveness is not high, and then the charging management effect of the photovoltaic power supply is not good. The charging management accuracy and comprehensiveness of the photovoltaic power supply are improved, and the charging management effect of the photovoltaic power supply is improved; meanwhile, the charging condition of the storage battery is monitored in real time, the storage battery is prevented from being damaged by overcharge or overdischarge, and the service life of the storage battery is prolonged.
In view of the above problems, the present application provides an intelligent charging management method and system for a photovoltaic power supply.
In a first aspect, the present application provides an intelligent charging management method for a photovoltaic power supply, where the method is applied to an intelligent charging management system for a photovoltaic power supply, and the method includes: monitoring to obtain the electric quantity information of the energy storage battery; acquiring basic information of an energy storage battery, and determining a charging warning value and a discharging warning line based on the basic information of the energy storage battery; determining charging alert probability according to the electric quantity information and the charging alert value; when the charging alert probability reaches a charging preset condition, acquiring charging disconnection information, wherein the charging disconnection information is used for disconnecting the photovoltaic charging source; determining a discharge warning probability according to the electric quantity information and the discharge warning line; and generating discharge disconnection information when the discharge warning probability reaches a discharge preset condition, wherein the discharge disconnection information is used for disconnecting the power load.
In a second aspect, the present application provides an intelligent charging management system for a photovoltaic power supply, wherein the system comprises: the solar photovoltaic battery pack is connected with the energy storage battery through the charging control circuit; the discharge control circuit is connected between the energy storage battery and the electric load through the discharge control loop; the intelligent management module comprises a data operation processing module, a charging efficiency monitoring circuit and a power consumption efficiency monitoring circuit; the input end of the charging control switch is connected with the output end of the data operation processing module, and the output end of the charging control switch is connected with the charging control circuit and used for controlling the on-off of the charging control circuit; and the input end of the discharge control switch is connected with the output end of the data operation processing module, and the output end of the discharge control switch is connected with the discharge control circuit and used for controlling the on-off of the discharge control circuit.
In a third aspect, the present application provides an intelligent charging management system for a photovoltaic power supply, wherein the system includes: the monitoring module is used for monitoring and acquiring the electric quantity information of the energy storage battery; the warning determination module is used for obtaining basic information of the energy storage battery and determining a charging warning value and a discharging warning line based on the basic information of the energy storage battery; the charging alert probability determination module is used for determining the charging alert probability according to the electric quantity information and the charging alert value; the charging disconnection information obtaining module is used for obtaining charging disconnection information when the charging alert probability reaches a charging preset condition, and the charging disconnection information is used for disconnecting the photovoltaic charging source; the discharging warning probability determining module is used for determining the discharging warning probability according to the electric quantity information and the discharging warning line; and the discharging disconnection information generation module is used for generating discharging disconnection information when the discharging warning probability reaches a discharging preset condition, and the discharging disconnection information is used for disconnecting the power load.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
monitoring the energy storage battery to obtain the electric quantity information of the energy storage battery; determining a charging warning value and a discharging warning line according to the basic information of the energy storage battery; determining charging alert probability according to the electric quantity information and the charging alert value; when the charging alert probability reaches a charging preset condition, acquiring charging disconnection information, wherein the charging disconnection information is used for disconnecting the photovoltaic charging source; determining the discharge warning probability according to the electric quantity information and the discharge warning line; and when the discharge warning probability reaches a discharge preset condition, generating discharge disconnection information, wherein the discharge disconnection information is used for disconnecting the power load. The charging management accuracy and comprehensiveness of the photovoltaic power supply are improved, and the charging management effect of the photovoltaic power supply is improved; meanwhile, the charging condition of the storage battery is monitored in real time, the storage battery is prevented from being damaged by overcharge or overdischarge, and the service life of the storage battery is prolonged.
Drawings
Fig. 1 is a schematic flowchart of an intelligent charging management method for a photovoltaic power supply according to the present application;
fig. 2 is a schematic flow diagram illustrating a process of detecting and collecting electric quantity information of an energy storage battery based on a monitoring time node in the intelligent charging management method for a photovoltaic power supply of the present application;
fig. 3 is a schematic flow chart illustrating power supply switching connection in the intelligent charging management method for a photovoltaic power supply according to the present application;
fig. 4 is a schematic structural diagram of an intelligent charging management system of a photovoltaic power supply according to the present application.
Description of reference numerals: a monitoring module 11, a guard determination module 12, a charging guard probability determination module 13, a charging disconnection information obtaining module 14, a discharging guard probability determination module 15,
the discharge cutoff information generation module 16.
Detailed Description
The application provides an intelligent charging management method and system for a photovoltaic power supply. The charging management system solves the technical problems that in the prior art, charging management accuracy for the photovoltaic power supply is not enough, comprehensiveness is not high, and further charging management effect of the photovoltaic power supply is not good. The charging management accuracy and comprehensiveness of the photovoltaic power supply are improved, and the charging management effect of the photovoltaic power supply is improved; meanwhile, the charging condition of the storage battery is monitored in real time, the storage battery is prevented from being damaged by overcharge or overdischarge, and the service life of the storage battery is prolonged.
Example one
Referring to fig. 1, the present application provides an intelligent charging management method for a photovoltaic power supply, wherein the method is applied to an intelligent charging management system for a photovoltaic power supply, and the method specifically includes the following steps:
step S100: monitoring and obtaining the electric quantity information of the energy storage battery;
further, as shown in fig. 2, step S100 of the present application further includes:
step S110: obtaining power supply photovoltaic information of an energy storage battery;
step S120: analyzing and predicting the power supply amount according to the power supply photovoltaic information to obtain power supply amount prediction information;
further, step S120 of the present application further includes:
step S121: obtaining the number of power supply photovoltaic cells, the setting position of the power supply photovoltaic cells and basic information of the power supply photovoltaic cells according to the power supply photovoltaic information;
specifically, power supply photovoltaic parameter collection is carried out on the energy storage battery, and power supply photovoltaic information of the energy storage battery is obtained. The power supply photovoltaic information comprises the number of power supply photovoltaics, the setting position of the power supply photovoltaics and power supply photovoltaic basic information. The power supply photovoltaic basic information comprises the structure composition, the area and the photovoltaic sunshine power supply conversion coefficient of power supply photovoltaic. The technical effects of obtaining reliable power supply photovoltaic information of the energy storage battery and providing data support for subsequently determining power supply photovoltaic electricity conversion information are achieved.
Step S122: acquiring illumination intensity information according to the power supply photovoltaic setting position, and determining power supply photovoltaic electricity conversion information based on the illumination intensity information and the power supply photovoltaic basic information;
further, step S122 of the present application further includes:
step S1221: obtaining illumination intensity information in real time;
step S1222: constructing a time sequence chain based on a day time sequence, wherein the time sequence chain comprises time sequence power supply amount information, illumination intensity information and time nodes of the time sequence chain;
step S1223: determining a photovoltaic sunshine power supply conversion coefficient according to the power supply photovoltaic basic information;
step S1224: constructing a Markov chain model based on the time sequence chain according to the functional relation among the photovoltaic sunshine power supply conversion coefficient, the time sequence power supply quantity information and the illumination intensity information;
step S1225: and predicting time sequence power supply quantity information of each time node according to the Markov chain model to obtain power supply photovoltaic electricity conversion information, wherein the power supply photovoltaic electricity conversion information is the probability and the electric quantity value of photovoltaic conversion electric quantity.
Step S123: and obtaining the power supply amount prediction information according to the power supply photovoltaic electricity conversion information and the power supply photovoltaic quantity.
Specifically, real-time illumination intensity parameter acquisition is carried out based on the power supply photovoltaic setting position, and illumination intensity information is obtained. Further, a photovoltaic sunshine power supply conversion coefficient is extracted from the power supply photovoltaic basic information, the functional relation among the photovoltaic sunshine power supply conversion coefficient, the time sequence power supply quantity information and the illumination intensity information is analyzed, and a Markov chain model is constructed by combining a time sequence chain. And predicting time sequence power supply quantity information of each time node according to a Markov chain model to obtain power supply photovoltaic electricity conversion information, and obtaining power supply quantity prediction information by combining the number of power supply photovoltaics. The illumination intensity information comprises real-time illumination intensity parameters corresponding to the power supply photovoltaic setting position. The time-of-day sequence comprises time nodes corresponding to sunshine hours. The time sequence chain comprises time sequence power supply amount information and illumination intensity information. And the time sequence power supply amount information, the illumination intensity information and each time node of the time sequence chain have corresponding relations. The time sequence power supply amount information comprises power supply amount information corresponding to each time node of the time sequence chain. Each time node of the time sequence chain comprises a time-of-day sequence. The photovoltaic sunshine power supply conversion coefficient comprises a conversion efficiency parameter of converting solar energy into electric energy by a photovoltaic module of the energy storage battery. The Markov chain model comprises a function relation among a photovoltaic sunlight power supply conversion coefficient, time sequence power supply quantity information and illumination intensity information and a time sequence chain. The Markov chain model has the function of predicting the time sequence power supply quantity information according to each time node of the time sequence chain. The power supply photovoltaic electricity conversion information comprises the probability of photovoltaic conversion electric quantity and a photovoltaic conversion electric quantity value. The power supply amount prediction information comprises power supply photovoltaic electricity conversion information, power supply photovoltaic number and the product of the photovoltaic conversion electricity value and the power supply photovoltaic number. The technical effects that the time sequence power supply amount information of each time node is predicted through the Markov chain model, accurate power supply photovoltaic electricity conversion information is obtained, reliable power supply amount prediction information is further determined, and adaptability and scientificity of the subsequently obtained monitoring time node are improved are achieved.
Step S130: obtaining the electricity load information of the storage battery;
step S140: performing discharge analysis and prediction according to the storage battery electricity load information to obtain discharge amount prediction information;
further, step S140 of the present application further includes:
step S141: acquiring load attribute information and load demand information according to the storage battery power consumption load information;
step S142: analyzing the historical supply state of the load according to the load attribute information to determine the trend information of the load supply;
step S143: acquiring load demand tendency information according to the load supply tendency information and the load demand information;
step S144: and predicting the discharge capacity according to the load demand trend information to obtain the discharge capacity prediction information.
Specifically, the power utilization load parameters of the energy storage battery are collected, and the power utilization load information of the storage battery is obtained. The storage battery power load information comprises load attribute information and load demand information. Further, the historical load supply state is analyzed based on the load attribute information to obtain load supply trend information, the load demand trend information is determined by combining the load demand information, the discharge amount is predicted according to the load demand trend information, and the discharge amount prediction information is obtained. The load attribute information comprises the electric load type of the energy storage battery and the electric load quantity corresponding to the electric load type. The load demand information includes a demand electric quantity value corresponding to the load attribute information. The historical load supply state comprises historical load attribute information and historical discharge amount corresponding to the historical load attribute information. The load supply trend information comprises the variation trend of the load attribute information and the discharge amount variation trend corresponding to the load attribute information. The load demand tendency information comprises load supply tendency information and load demand information. The discharge amount prediction information comprises predicted discharge amount data corresponding to the storage battery electricity load information. The technical effects that discharge amount prediction information is obtained by performing discharge analysis and prediction on the power utilization load information of the storage battery, and the adaptability of acquiring the subsequent electric quantity information of the energy storage battery is improved are achieved.
Step S150: and determining a monitoring time node according to the power supply amount prediction information and the discharge amount prediction information, and detecting and collecting the electric quantity information of the energy storage battery based on the monitoring time node.
Further, step S150 of the present application further includes:
step S151: fitting a power supply surplus trend curve according to the power supply amount prediction information;
step S152: fitting a discharge demand trend curve according to the discharge capacity prediction information;
step S153: carrying out trend fusion on the power supply surplus trend curve and the discharge demand trend curve to determine the trend of the supply and demand relationship;
step S154: matching the trend of the supply and demand relationship based on the charging alert value and the discharging alert line, and determining a monitoring time interval;
step S155: and analyzing the change rate according to the power supply amount prediction information and the discharge amount prediction information, determining the trend change rate, and acquiring the monitoring time node based on the trend change rate and the monitoring time interval.
Specifically, curve fitting is performed on the power supply amount prediction information to obtain a power supply surplus trend curve. And performing curve fitting on the discharge quantity prediction information to obtain a discharge demand trend curve. And fusing the trend curve of the surplus power supply and the trend curve of the discharge demand to obtain the trend of the supply and demand relationship. Further, matching the trend of the supply and demand relation according to the charging alert value and the discharging alert line to obtain a monitoring time interval, analyzing the change rate of the power supply amount prediction information and the discharging amount prediction information to determine the trend change rate, and combining the monitoring time interval to obtain a monitoring time node. And then, acquiring the electric quantity information of the energy storage battery according to the monitoring time node to obtain the electric quantity information of the energy storage battery. And the power supply surplus trend curve comprises a real-time change curve corresponding to power supply amount prediction information. The discharge demand trend curve comprises a real-time change curve corresponding to discharge prediction information. The trend of the supply and demand relation comprises comparing a trend curve of the surplus of the power supply with a trend curve of the quantity of the discharge demand, and obtaining the change trend information between the surplus of the power supply and the quantity of the discharge demand. And the monitoring time interval comprises time interval information corresponding to the charging warning value and the discharging warning line in the trend of the supply and demand relationship. The charging alert value comprises an electric quantity value when the energy storage battery is fully charged. The discharge warning line comprises a discharge early warning electric quantity value of the energy storage battery. The trend change rate includes a change rate of the power supply amount prediction information and a change rate of the discharge amount prediction information. The monitoring time nodes comprise a plurality of time nodes obtained by dividing monitoring time intervals according to the trend change rate. Illustratively, when the trend change rate is high, the monitoring time interval is densely divided, and a plurality of time nodes with short time intervals are obtained. The electric quantity information of the energy storage battery comprises electric quantity data of the energy storage battery corresponding to the monitoring time node. The technical effects of scientifically collecting the electric quantity information of the energy storage battery according to the monitoring time node, obtaining the electric quantity information of the energy storage battery and improving the charging management accuracy of the photovoltaic power supply are achieved.
Step S200: acquiring basic information of an energy storage battery, and determining a charging warning value and a discharging warning line based on the basic information of the energy storage battery;
step S300: determining a charging alert probability according to the electric quantity information and the charging alert value;
step S400: when the charging alert probability reaches a charging preset condition, acquiring charging disconnection information, wherein the charging disconnection information is used for disconnecting the photovoltaic charging source;
specifically, basic parameter acquisition is carried out on the energy storage battery, and basic information of the energy storage battery is obtained. The basic information of the energy storage battery comprises a charging warning value and a discharging warning line. Further, calculation is carried out based on the electric quantity information and the charging alert value, and the charging alert probability is obtained. And judging whether the charging alert probability reaches a charging preset condition, and if the charging alert probability reaches the charging preset condition, acquiring charging disconnection information. And the charging warning value comprises an electric quantity value when the energy storage battery is fully charged. The discharge warning line comprises a discharge early warning electric quantity value of the energy storage battery. The charging alert probability includes ratio information between the electric quantity information and the charging alert value. The preset charging condition comprises a preset and determined charging alert probability threshold. The charging disconnection information is instruction information for disconnecting the photovoltaic charging source. The technical effects that the charging warning probability is obtained by calculating the electric quantity information and the charging warning value, the charging disconnection information is adaptively generated by combining the charging preset condition, and the charging management quality of the photovoltaic power supply is improved are achieved.
Step S500: determining the discharge warning probability according to the electric quantity information and the discharge warning line;
step S600: and generating discharge disconnection information when the discharge warning probability reaches a discharge preset condition, wherein the discharge disconnection information is used for disconnecting the power load.
Specifically, calculation is performed based on the electric quantity information and the discharge warning line, and the discharge warning probability is obtained. And judging whether the discharge warning probability reaches a discharge preset condition, and if the discharge warning probability reaches the discharge preset condition, acquiring discharge disconnection information. The discharge warning probability comprises ratio information between electric quantity information and a discharge warning line. The preset discharging condition comprises that a discharging alarm probability threshold is preset and determined. The discharge interruption information is instruction information for interrupting the power load. The technical effects that the discharge warning probability is obtained by calculating the electric quantity information and the discharge warning line, the discharge disconnection information is adaptively generated by combining the discharge preset condition, and the comprehensiveness of the charge management of the photovoltaic power supply is improved are achieved.
Further, as shown in fig. 3, after step S600, the method further includes:
step S710: when the charging alert probability reaches a charging preset condition, acquiring information of a discharging alert storage battery;
step S720: carrying out power supply switching connection on the discharging warning storage battery information and the power supply photovoltaic information;
step S730: when the discharging alert probability reaches a discharging preset condition, obtaining charging alert storage battery information;
step S740: and carrying out power supply switching connection on the charging alert storage battery information and the storage battery electric load information.
Specifically, when the charging alert probability reaches the charging preset condition, the discharging alert storage battery information is obtained, and the discharging alert storage battery information and the power supply photovoltaic information are subjected to power supply switching connection. And when the discharging alert probability reaches a discharging preset condition, acquiring the charging alert storage battery information, and performing power supply switching connection on the charging alert storage battery information and the storage battery power load information. And the discharging alert storage battery information comprises energy storage battery basic information of which the charging alert probability reaches a charging preset condition. And the charging warning storage battery information comprises energy storage battery basic information of which the discharging warning probability reaches a discharging preset condition. The technical effects that based on the preset charging condition and the preset discharging condition, the information of the discharging warning storage battery and the information of the power supply photovoltaic are adaptively connected in a power supply switching mode, the information of the charging warning storage battery and the information of the power load of the storage battery are adaptively connected in a power supply switching mode, and the comprehensiveness of charging management of the photovoltaic power supply is improved are achieved.
In summary, the intelligent charging management method for the photovoltaic power supply provided by the application has the following technical effects:
1. monitoring the energy storage battery to obtain the electric quantity information of the energy storage battery; determining a charging warning value and a discharging warning line according to the basic information of the energy storage battery; determining charging alert probability according to the electric quantity information and the charging alert value; when the charging alert probability reaches a charging preset condition, acquiring charging disconnection information, wherein the charging disconnection information is used for disconnecting the photovoltaic charging source; determining the discharge warning probability according to the electric quantity information and the discharge warning line; and when the discharge warning probability reaches a discharge preset condition, generating discharge disconnection information, wherein the discharge disconnection information is used for disconnecting the power load. The charging management accuracy and comprehensiveness of the photovoltaic power supply are improved, and the charging management effect of the photovoltaic power supply is improved; meanwhile, the charging condition of the storage battery is monitored in real time, the storage battery is prevented from being damaged by overcharge or overdischarge, and the service life of the storage battery is prolonged.
2. And scientifically collecting the electric quantity information of the energy storage battery according to the monitoring time node to obtain the electric quantity information of the energy storage battery, so that the charging management accuracy of the photovoltaic power supply is improved.
3. The charging warning probability is obtained by calculating the electric quantity information and the charging warning value, and the charging disconnection information is adaptively generated by combining the charging preset condition, so that the charging management quality of the photovoltaic power supply is improved.
4. The discharge warning probability is obtained by calculating the electric quantity information and the discharge warning line, and the discharge disconnection information is adaptively generated by combining with the discharge preset condition, so that the comprehensiveness of the charge management of the photovoltaic power supply is improved.
Example two
Based on the same inventive concept as the intelligent charging management method of the photovoltaic power supply in the foregoing embodiment, the present invention further provides an intelligent charging management system of the photovoltaic power supply, please refer to fig. 4, where the system includes:
the monitoring module 11 is used for monitoring and obtaining the electric quantity information of the energy storage battery;
the alert determination module 12, the alert determination module 12 is configured to obtain basic information of the energy storage battery, and determine a charging alert value and a discharging alert line based on the basic information of the energy storage battery;
the charging alert probability determination module 13 is configured to determine a charging alert probability according to the electric quantity information and the charging alert value;
a charging disconnection information obtaining module 14, where the charging disconnection information obtaining module 14 is configured to obtain charging disconnection information when the charging alert probability reaches a preset charging condition, and the charging disconnection information is used to disconnect a photovoltaic charging source;
the discharge alert probability determination module 15 is configured to determine a discharge alert probability according to the electric quantity information and the discharge alert line;
a discharging disconnection information generation module 16, wherein the discharging disconnection information generation module 16 is configured to generate discharging disconnection information when the discharging alert probability reaches a discharging preset condition, and the discharging disconnection information is used for disconnecting the power load.
Further, the system further comprises:
the power supply photovoltaic information acquisition module is used for acquiring power supply photovoltaic information of the energy storage battery;
the power supply quantity analysis and prediction module is used for carrying out power supply quantity analysis and prediction according to the power supply photovoltaic information to obtain power supply quantity prediction information;
the power utilization load information acquisition module is used for acquiring power utilization load information of the storage battery;
the discharge analysis and prediction module is used for carrying out discharge analysis and prediction according to the storage battery power load information to obtain discharge amount prediction information;
and the detection acquisition module is used for determining a monitoring time node according to the power supply amount prediction information and the discharge amount prediction information, and detecting and acquiring the electric quantity information of the energy storage battery based on the monitoring time node.
Further, the system further comprises:
the power supply photovoltaic parameter determination module is used for obtaining the number of power supply photovoltaics, the power supply photovoltaic setting position and the power supply photovoltaic basic information according to the power supply photovoltaic information;
the power supply photovoltaic electrical conversion information determining module is used for obtaining illumination intensity information according to the power supply photovoltaic setting position and determining power supply photovoltaic electrical conversion information based on the illumination intensity information and the power supply photovoltaic basic information;
and the power supply amount prediction information obtaining module is used for obtaining the power supply amount prediction information according to the power supply photovoltaic electricity conversion information and the power supply photovoltaic quantity.
Further, the system further comprises:
the illumination intensity obtaining module is used for obtaining illumination intensity information in real time;
the time sequence chain construction module is used for constructing a time sequence chain based on a time-of-day sequence, wherein the time sequence chain comprises time sequence power supply quantity information and illumination intensity information corresponding to each time node of the time sequence chain;
the photovoltaic sunshine power supply conversion coefficient determining module is used for determining a photovoltaic sunshine power supply conversion coefficient according to the power supply photovoltaic basic information;
the model building module is used for building a Markov chain model based on the time sequence chain according to the functional relation among the photovoltaic sunshine power supply conversion coefficient, the time sequence power supply quantity information and the illumination intensity information;
the prediction module is used for predicting the time sequence power supply quantity information of each time node according to the Markov chain model to obtain power supply photovoltaic electricity conversion information, and the power supply photovoltaic electricity conversion information is the probability and the electric quantity value of photovoltaic conversion electric quantity.
Further, the system further comprises:
the load parameter determining module is used for obtaining load attribute information and load demand information according to the storage battery power utilization load information;
the load supply trend information determining module is used for analyzing the historical load supply state according to the load attribute information and determining the load supply trend information;
the load demand trend information acquisition module is used for acquiring load demand trend information according to the load supply trend information and the load demand information;
and the discharge amount prediction module is used for predicting the discharge amount according to the load demand trend information to obtain the discharge amount prediction information.
Further, the system further comprises:
the first fitting module is used for fitting a power supply surplus trend curve according to the power supply amount prediction information;
the second fitting module is used for fitting a discharge demand trend curve according to the discharge prediction information;
the trend fusion module is used for carrying out trend fusion on the power supply surplus trend curve and the discharge demand trend curve to determine the trend of a supply and demand relationship;
the monitoring time interval determining module is used for matching the trend of the supply and demand relationship based on the charging alert value and the discharging alert line to determine a monitoring time interval;
and the monitoring time node determining module is used for analyzing the change rate according to the power supply amount prediction information and the discharge amount prediction information, determining the trend change rate, and acquiring the monitoring time node based on the trend change rate and the monitoring time interval.
Further, the system further comprises:
the discharging warning storage battery information obtaining module is used for obtaining discharging warning storage battery information when the charging warning probability reaches a charging preset condition;
the first power supply switching connection module is used for performing power supply switching connection on the discharging warning storage battery information and the power supply photovoltaic information;
the charging alert storage battery information acquisition module is used for acquiring charging alert storage battery information when the discharging alert probability reaches a discharging preset condition;
and the second power supply switching connection module is used for performing power supply switching connection on the charging warning storage battery information and the storage battery electric load information.
The application provides an intelligent charging management method of a photovoltaic power supply, wherein the method is applied to an intelligent charging management system of the photovoltaic power supply, and the method comprises the following steps: monitoring the energy storage battery to obtain the electric quantity information of the energy storage battery; determining a charging warning value and a discharging warning line according to the basic information of the energy storage battery; determining charging alert probability according to the electric quantity information and the charging alert value; when the charging alert probability reaches a charging preset condition, acquiring charging disconnection information, wherein the charging disconnection information is used for disconnecting the photovoltaic charging source; determining the discharge warning probability according to the electric quantity information and the discharge warning line; and when the discharge warning probability reaches a discharge preset condition, generating discharge disconnection information, wherein the discharge disconnection information is used for disconnecting the power load. The charging management system solves the technical problems that in the prior art, charging management accuracy for the photovoltaic power supply is not enough, comprehensiveness is not high, and further charging management effect of the photovoltaic power supply is not good. The accuracy and comprehensiveness of charging management of the photovoltaic power supply are improved, and the charging management effect of the photovoltaic power supply is improved; meanwhile, the charging condition of the storage battery is monitored in real time, the storage battery is prevented from being damaged by overcharge or overdischarge, and the service life of the storage battery is prolonged.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The specification and drawings are merely illustrative of the present application, and it is intended that the present invention cover modifications and variations of this invention provided they come within the scope of the invention and their equivalents.
Claims (5)
1. An intelligent charging management method for a photovoltaic power supply, the method comprising:
monitoring and obtaining the electric quantity information of the energy storage battery;
acquiring basic information of an energy storage battery, and determining a charging warning value and a discharging warning line based on the basic information of the energy storage battery;
determining a charging alert probability according to the electric quantity information and the charging alert value;
when the charging alert probability reaches a charging preset condition, acquiring charging disconnection information, wherein the charging disconnection information is used for disconnecting the photovoltaic charging source;
determining a discharge warning probability according to the electric quantity information and the discharge warning line;
when the discharge warning probability reaches a discharge preset condition, generating discharge disconnection information, wherein the discharge disconnection information is used for disconnecting the power load;
wherein, before the electric quantity information of energy storage battery is obtained in the monitoring, include:
obtaining power supply photovoltaic information of an energy storage battery;
analyzing and predicting the power supply amount according to the power supply photovoltaic information to obtain power supply amount prediction information;
obtaining the electricity load information of the storage battery;
performing discharge analysis and prediction according to the storage battery power load information to obtain discharge amount prediction information, wherein the discharge amount prediction information comprises:
acquiring load attribute information and load demand information according to the storage battery power consumption load information;
analyzing the historical supply state of the load according to the load attribute information to determine the trend information of the load supply;
acquiring load demand tendency information according to the load supply tendency information and the load demand information;
predicting the discharge capacity according to the load demand trend information to obtain the discharge capacity prediction information;
determining a monitoring time node according to the power supply amount prediction information and the discharge amount prediction information, and detecting and collecting the electric quantity information of the energy storage battery based on the monitoring time node, wherein the method comprises the following steps:
fitting a power supply surplus trend curve according to the power supply amount prediction information;
fitting a discharge demand trend curve according to the discharge prediction information;
carrying out trend fusion on the power supply surplus trend curve and the discharge demand trend curve to determine the trend of the supply and demand relationship;
matching the trend of the supply and demand relationship based on the charging alert value and the discharging alert line, and determining a monitoring time interval;
and analyzing the change rate according to the power supply amount prediction information and the discharge amount prediction information, determining the trend change rate, and acquiring the monitoring time node based on the trend change rate and the monitoring time interval.
2. The method of claim 1, wherein performing power supply amount analysis prediction according to the power supply photovoltaic information to obtain power supply amount prediction information comprises:
obtaining the number of power supply photovoltaics, the setting position of the power supply photovoltaics and basic information of the power supply photovoltaics according to the power supply photovoltaic information;
acquiring illumination intensity information according to the power supply photovoltaic setting position, and determining power supply photovoltaic electric conversion information based on the illumination intensity information and the power supply photovoltaic basic information;
and obtaining the power supply amount prediction information according to the power supply photovoltaic electricity conversion information and the power supply photovoltaic number.
3. The method of claim 2, wherein obtaining illumination intensity information according to the power supply photovoltaic setting position, and determining power supply photovoltaic electrical conversion information based on the illumination intensity information and the power supply photovoltaic basic information comprises:
obtaining illumination intensity information in real time;
constructing a time sequence chain based on a day time sequence, wherein the time sequence chain comprises time sequence power supply amount information, illumination intensity information and time nodes of the time sequence chain;
determining a photovoltaic sunshine power supply conversion coefficient according to the power supply photovoltaic basic information;
constructing a Markov chain model based on the time sequence chain according to the functional relation among the photovoltaic sunshine power supply conversion coefficient, the time sequence power supply quantity information and the illumination intensity information;
and predicting time sequence power supply quantity information of each time node according to the Markov chain model to obtain power supply photovoltaic electricity conversion information, wherein the power supply photovoltaic electricity conversion information is the probability and the electric quantity value of photovoltaic conversion electric quantity.
4. The method of claim 1, wherein the method comprises:
when the charging alert probability reaches a charging preset condition, acquiring information of a discharging alert storage battery;
carrying out power supply switching connection on the discharging warning storage battery information and the power supply photovoltaic information;
when the discharge alert probability reaches a discharge preset condition, acquiring charge alert storage battery information;
and carrying out power supply switching connection on the charging alert storage battery information and the storage battery electric load information.
5. An intelligent charging management system for a photovoltaic power supply, the system comprising:
the monitoring module is used for monitoring and acquiring the electric quantity information of the energy storage battery;
the warning determination module is used for obtaining basic information of the energy storage battery and determining a charging warning value and a discharging warning line based on the basic information of the energy storage battery;
the charging alert probability determination module is used for determining the charging alert probability according to the electric quantity information and the charging alert value;
the charging disconnection information obtaining module is used for obtaining charging disconnection information when the charging alert probability reaches a charging preset condition, and the charging disconnection information is used for disconnecting the photovoltaic charging source;
the discharging warning probability determining module is used for determining the discharging warning probability according to the electric quantity information and the discharging warning line;
the discharging disconnection information generation module is used for generating discharging disconnection information when the discharging warning probability reaches a discharging preset condition, and the discharging disconnection information is used for disconnecting the power load;
the power supply photovoltaic information acquisition module is used for acquiring power supply photovoltaic information of the energy storage battery;
the power supply quantity analysis and prediction module is used for carrying out power supply quantity analysis and prediction according to the power supply photovoltaic information to obtain power supply quantity prediction information;
the power utilization load information acquisition module is used for acquiring power utilization load information of the storage battery;
the discharge analysis and prediction module is used for carrying out discharge analysis and prediction according to the storage battery power load information to obtain discharge amount prediction information;
the load parameter determining module is used for obtaining load attribute information and load demand information according to the storage battery power utilization load information;
the load supply trend information determining module is used for analyzing the historical supply state of the load according to the load attribute information and determining the load supply trend information;
the load demand trend information acquisition module is used for acquiring load demand trend information according to the load supply trend information and the load demand information;
the discharge amount prediction module is used for predicting the discharge amount according to the load demand trend information to obtain the discharge amount prediction information;
the detection and acquisition module is used for determining a monitoring time node according to the power supply amount prediction information and the discharge amount prediction information, and detecting and acquiring the electric quantity information of the energy storage battery based on the monitoring time node;
the first fitting module is used for fitting a power supply surplus trend curve according to the power supply amount prediction information;
the second fitting module is used for fitting a discharge demand trend curve according to the discharge prediction information;
the trend fusion module is used for carrying out trend fusion on the power supply surplus trend curve and the discharge demand trend curve to determine the trend of a supply and demand relationship;
the monitoring time interval determining module is used for matching the trend of the supply and demand relationship based on the charging alert value and the discharging alert line to determine a monitoring time interval;
and the monitoring time node determining module is used for analyzing the change rate according to the power supply amount prediction information and the discharge amount prediction information, determining the trend change rate, and acquiring the monitoring time node based on the trend change rate and the monitoring time interval.
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