Energy control method and system of optical storage and charging equipment

Abstract

The invention provides an energy control method and system of a light storage and charging device. The energy control method comprises the following steps: collecting basic operation data of a photovoltaic device and an energy storage device; an energy control DIKW model is constructed according to the basic operation data, and an energy control strategy is obtained through processing of the energy control DIKW model; external environment information and geographic information of the light storage and charging equipment are collected; constructing a disturbance DIKW model according to the external environment information and the geographic information, and generating a plurality of simulation disturbances by the disturbance DIKW model; injecting simulation disturbance into the energy control DIKW model, and adjusting an energy control strategy based on the response of the energy control DIKW model; a DIKW knowledge graph is introduced, mass data can be processed so as to generate a proper energy control strategy and simulation disturbance, the simulation disturbance can be injected into an energy control DIKW model, the energy control strategy is adjusted according to the response of the energy control DIKW model so as to enable the optical storage and charging equipment to adapt to external disturbance in advance, and the energy storage and charging efficiency is improved. And stable operation of the optical storage and charging equipment is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power generation, and in particular to an energy control method and system for a photovoltaic storage and charging device. Background Art

[0002] With the growing global demand for clean energy and the booming electric vehicle market, integrated photovoltaic storage and charging equipment has emerged as a new energy comprehensive utilization solution. The traditional energy supply system often relies on a single power grid. When facing peak electricity demand, the grid load pressure is huge, not only the power supply stability is challenged, but also energy waste is easily caused. Photovoltaic storage and charging equipment combines the clean and renewable nature of photovoltaic power generation, the peak-shaving and valley-filling function of the energy storage system, and the convenience of charging facilities. However, there are still many problems in the energy control of photovoltaic storage and charging equipment that need to be solved.

[0003] On the one hand, photovoltaic power generation is affected by natural factors such as light intensity and weather changes, and its output power is extremely unstable. The existing energy control methods are difficult to accurately and in real time coordinate the charging and discharging of energy storage batteries and the power consumption of loads according to light fluctuations, which often leads to unreasonable energy distribution and the inability to give full play to the synergistic advantages of photovoltaic storage. On the other hand, the performance and life of energy storage batteries will be greatly reduced under different working conditions, such as frequent charging and discharging, high temperature or low temperature environment, and there is a lack of effective battery management strategies to ensure the reliable operation of the system. In addition, various external disturbance factors, such as voltage fluctuations and frequency drifts of the power grid, sudden changes in environmental temperature, sudden changes in light, and sudden increases and decreases in loads will affect the stability of photovoltaic storage and charging equipment. The current energy control strategies are mostly single-purpose to control charging and discharging according to weather changes and changes in electricity prices, and are unable to cope with sudden labor and ensure the stable operation of photovoltaic storage and charging equipment. Summary of the invention

[0004] In view of this, the present invention proposes an energy control method and system for a photovoltaic storage and charging device, which can inject possible simulated disturbances of the photovoltaic storage and charging device into the energy control DIKW model, so as to adjust the energy control strategy in time to ensure the stable operation of the photovoltaic storage and charging device.

[0005] The technical solution of the present invention is achieved in this way:

[0006] A method for controlling energy of a light storage device comprises the following steps:

[0007] Step S1, collecting basic operating data of photovoltaic equipment and energy storage equipment;

[0008] Step S2: construct an energy control DIKW model according to basic operation data, and obtain an energy control strategy through processing by the energy control DIKW model;

[0009] Step S3, collecting external environment information and geographic information of the optical storage and charging equipment;

[0010] Step S4, constructing a disturbance DIKW model according to the external environment information and the geographic information, and generating a number of simulated disturbances by the disturbance DIKW model;

[0011] Step S5: inject the simulated disturbance into the energy control DIKW model, and adjust the energy control strategy based on the response of the energy control DIKW model.

[0012] Preferably, the specific steps of step S1 are:

[0013] Step S11, collecting the output voltage, current, power, received light intensity and photovoltaic panel temperature of the photovoltaic device, and outputting them as first basic operation data;

[0014] Step S12, collecting the state of charge, charge and discharge current, charge time and discharge time of the energy storage device, and outputting them as second basic operation data;

[0015] Step S13: performing data cleaning and denoising on the first basic operation data and the second basic operation data.

[0016] Preferably, the specific steps of step S2 are:

[0017] Step S21, calculating the photovoltaic power generation efficiency according to the output power of the photovoltaic device and the received light intensity, and mapping the photovoltaic power generation efficiency and the first basic operation data into a first type of resource;

[0018] Step S22, calculating the charge and discharge efficiency according to the state of charge, charge and discharge current, and charging time of the energy storage device;

[0019] Step S23: Calculate the self-discharge rate according to the state of charge and discharge time of the energy storage device, and map the charge and discharge efficiency, the self-discharge rate and the second basic operation data into a second type of resource;

[0020] Step S24: construct an energy control DIKW model according to the first type of resources and the second type of resources, and obtain an energy control strategy through processing by the energy control DIKW model.

[0021] Preferably, the energy control strategy includes:

[0022] When there is sufficient sunlight, the photovoltaic device is controlled to charge the energy storage device and / or to charge the device to be charged;

[0023] When there is a lack of sunlight, the mains is controlled to charge the energy storage device during the off-peak period, and the energy storage device is controlled to charge the device to be charged.

[0024] Preferably, the specific steps of step S3 are:

[0025] Step S31, obtaining a specific installation location according to the installation plan of the solar energy storage and charging equipment, and obtaining meteorological data based on the specific installation location;

[0026] Step S32: determine the mains connected to the solar energy storage and charging device according to the specific installation location, and obtain grid fluctuation data according to the change of the mains over a period of time;

[0027] Step S33, determining the accident rate and construction probability near the solar energy storage and charging equipment according to the specific installation location;

[0028] Step S34: collect the building heights and garden ranges near the solar storage and charging equipment, and calculate the light shielding rate based on the building heights and garden ranges.

[0029] Preferably, the specific steps of step S4 are:

[0030] Step S41, mapping meteorological data, power grid fluctuation data, building construction probability and light shielding rate into a third type of resources;

[0031] Step S42: constructing a disturbance DIKW model according to the third type of resources;

[0032] Step S43: The disturbance DIKW model is processed to obtain meteorological disturbance scenarios and human disturbance scenarios, wherein the human disturbance scenarios include power grid disturbances, natural change disturbances, and human change disturbances.

[0033] Preferably, the first type of resources, the second type of resources and the third type of resources all include data resources, information resources, knowledge resources and wisdom resources, and the data resources, information resources, knowledge resources and wisdom resources can be combined and converted with each other.

[0034] Preferably, the specific steps of step S5 are:

[0035] Step S51, determining an idle time period of the photovoltaic storage and charging device according to historical operation data of the photovoltaic storage and charging device;

[0036] Step S52, obtaining historical fault records of the optical storage and charging equipment, and extracting fault phenomenon characteristics based on the historical fault records;

[0037] Step S53: evaluate the correlation between the simulated disturbance and the fault phenomenon characteristics, inject the simulated disturbance with higher correlation into the energy control DIKW model during the idle time period, and adjust the energy control strategy based on the response of the energy control DIKW model.

[0038] Preferably, the method for evaluating the correlation is: predicting changes in key characteristics of the light storage and charging equipment when a simulated disturbance occurs, and comparing them with the characteristics of the fault phenomenon, and determining the correlation based on the comparison results.

[0039] An energy control system for a light storage and charging device, comprising:

[0040] A collection unit, used to collect basic operating data of photovoltaic equipment and energy storage equipment;

[0041] An energy control unit is used to construct an energy control DIKW model according to basic operation data, and obtain an energy control strategy through processing by the energy control DIKW model;

[0042] A collection unit, used to collect external environment information and geographic information of the optical storage and charging equipment;

[0043] A disturbance generation unit is used to construct a disturbance DIKW model according to external environmental information and geographic information, and generate a number of simulated disturbances from the disturbance DIKW model;

[0044] An adjustment unit, used for injecting a simulated disturbance into the energy control DIKW model, and adjusting the energy control strategy based on a response of the energy control DIKW model;

[0045] The collection unit is data-connected with the energy control unit, the acquisition unit is data-connected with the disturbance generation unit, and the adjustment unit is data-connected with the energy control unit and the disturbance generation unit respectively.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] The energy control method and system of a photoelectric storage and charging device of the present invention collects basic operating data of photovoltaic devices and energy storage devices, constructs an energy control DIKW model, and introduces a DIKW knowledge graph, which can process and convert massive data, and obtain an energy control strategy based on the knowledge level, so that the energy flow of photovoltaic devices and energy storage devices can be controlled based on the energy control strategy to achieve the lowest cost and stable operation effect. The external environmental information and geographic information of the photoelectric storage and charging device can be used to construct a disturbance DIKW model. The disturbance DIKW model can generate simulated disturbances. After the simulated disturbances are injected into the energy control DIKW model, the energy control DIKW model can respond quickly and adjust the energy control strategy quickly according to the changing characteristics, so that the photoelectric storage and charging device can still stably perform the charging and discharging process when the actual disturbance occurs. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only preferred embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0049] Figure 1 This is a flow chart of an energy control method for a light storage and charging device of the present invention;

[0050] Figure 2 This is a flow chart of step S1 of an energy control method for a light storage and charging device of the present invention;

[0051] Figure 3 This is a flow chart of step S2 of an energy control method for a light storage and charging device of the present invention;

[0052] Figure 4 This is a flow chart of step S3 of an energy control method for a light storage and charging device of the present invention;

[0053] Figure 5 This is a flow chart of step S4 of an energy control method for a light storage and charging device of the present invention;

[0054] Figure 6 This is a flow chart of step S5 of an energy control method for a light storage and charging device of the present invention;

[0055] Figure 7 A schematic diagram of an energy control system of a light storage and charging device of the present invention;

[0056] In the figure, 1. Collection unit; 2. Energy control unit; 3. Collection unit; 4. Disturbance generation unit; 5. Adjustment unit. DETAILED DESCRIPTION

[0057] In order to better understand the technical content of the present invention, a specific embodiment is provided below, and the present invention is further described in conjunction with the accompanying drawings.

[0058] See also Figures 1 to 6 The present invention provides an energy control method for a light storage device, comprising the following steps:

[0059] Step S1, collecting basic operating data of photovoltaic equipment and energy storage equipment;

[0060] Step S2: construct an energy control DIKW model according to basic operation data, and obtain an energy control strategy through processing by the energy control DIKW model;

[0061] Step S3, collecting external environment information and geographic information of the optical storage and charging equipment;

[0062] Step S4, constructing a disturbance DIKW model according to the external environment information and the geographic information, and generating a number of simulated disturbances by the disturbance DIKW model;

[0063] Step S5: inject the simulated disturbance into the energy control DIKW model, and adjust the energy control strategy based on the response of the energy control DIKW model.

[0064] The photoelectric storage and charging equipment includes a photovoltaic device, an energy storage device and a device to be charged, wherein the photovoltaic device is used to convert solar energy into electrical energy. The electrical energy generated by the photovoltaic device can be transmitted to the energy storage device for energy storage, and can also be directly transmitted to the device to be charged for charging. The electrical energy stored in the energy storage device can be used to charge the device to be charged when the output power of the photovoltaic device is low. When the energy storage device cannot receive the output of the photovoltaic device for a long time due to weather reasons, it can also be supplemented with electrical energy from the mains. The control of these charging and discharging requires a control strategy. The present invention first collects the basic operating data of the photovoltaic device and the energy storage device, and then constructs an energy control DIKW model according to the basic operating data, and introduces the DIKW knowledge graph into the energy control. The energy control DIKW model can process, identify and convert the massive data it receives, so as to determine the actual energy control strategy, and then the energy of the photoelectric storage and charging device can be controlled according to the energy control strategy, including the charging period of the photovoltaic device, the storage and discharge period of the energy storage device, and the access period of the mains, etc. At the same time, the energy control DIKW model can also continuously optimize the energy control strategy based on the information obtained to ensure that the energy control strategy can cope with some emergencies.

[0065] In the daily use of photovoltaic storage and charging equipment, there will be multiple disturbances, such as power grid fluctuations, sudden weather changes, human influence or damage, etc. The existence of these disturbances will affect the normal operation of the photovoltaic storage and charging equipment. Therefore, the present invention will collect the external environment information and geographic information of the photovoltaic storage and charging equipment, and then construct a disturbance DIKW model. The disturbance DIKW model can generate simulated disturbances that may affect the photovoltaic storage and charging equipment, and then inject the simulated disturbances into the energy control DIKW model to observe the response of the energy control DIKW model. Then, the energy control strategy can be adjusted in time according to the response status to improve the stability of the entire photovoltaic storage and charging equipment. At the same time, the adaptability of the photovoltaic storage and charging equipment can be enhanced by injecting simulated disturbances.

[0066] Preferably, the specific steps of step S1 are:

[0067] Step S11, collecting the output voltage, current, power, received light intensity and photovoltaic panel temperature of the photovoltaic device, and outputting them as first basic operation data;

[0068] Step S12, collecting the state of charge, charge and discharge current, charge time and discharge time of the energy storage device, and outputting them as second basic operation data;

[0069] Step S13: performing data cleaning and denoising on the first basic operation data and the second basic operation data.

[0070] During operation, photovoltaic equipment will convert light energy into electrical energy. When outputting electrical energy, its output voltage, current and power can be collected. The photoelectric conversion process of photovoltaic equipment is related to the parameters of the photovoltaic panel itself as well as the light intensity and temperature. Therefore, after the above data is collected, it is output as the first basic operating data. Similarly, after collecting the second basic operating data of the energy storage device, the first basic data and the second basic data can be pre-processed, including data cleaning and denoising, to facilitate subsequent further processing.

[0071] Preferably, the specific steps of step S2 are:

[0072] Step S21, calculating the photovoltaic power generation efficiency according to the output power of the photovoltaic device and the received light intensity, and mapping the photovoltaic power generation efficiency and the first basic operation data into a first type of resource;

[0073] Step S22, calculating the charge and discharge efficiency according to the state of charge, charge and discharge current, and charging time of the energy storage device;

[0074] Step S23: Calculate the self-discharge rate according to the state of charge and discharge time of the energy storage device, and map the charge and discharge efficiency, the self-discharge rate and the second basic operation data into a second type of resource;

[0075] Step S24: construct an energy control DIKW model according to the first type of resources and the second type of resources, and obtain an energy control strategy through processing by the energy control DIKW model.

[0076] The first basic operating data of the photovoltaic equipment can be used for corresponding calculations, where the output power and light intensity can be used to calculate the photovoltaic power generation efficiency of the photovoltaic equipment, so as to roughly evaluate the approximate working time period of the photovoltaic equipment. Similarly, the state of charge, charging and discharging current and charging time in the energy storage device can be used to calculate the charging and discharging efficiency. The state of charge combined with the discharge time can be used to calculate the self-discharge rate. The photovoltaic power generation efficiency and the first basic operating data can be mapped into the first type of resources, while the charging and discharging efficiency and self-discharge rate are mapped into the second type of resources with the second basic operating data. The first type of resources and the second type of resources can be used to construct the energy control DIKW model. After the construction is completed, the energy control DIKW model can be used to process the energy control strategy, and the charging and discharging of the photovoltaic equipment and the energy storage equipment can be controlled according to the energy control strategy.

[0077] Preferably, the energy control strategy includes:

[0078] When there is sufficient sunlight, the photovoltaic device is controlled to charge the energy storage device and / or to charge the device to be charged;

[0079] When there is a lack of sunlight, the mains is controlled to charge the energy storage device during the off-peak period, and the energy storage device is controlled to charge the device to be charged.

[0080] When there is sufficient sunlight and there is a demand for charging, the photovoltaic equipment can directly charge the device to be charged. If the power of photovoltaic power generation is greater than the charging power required by the device to be charged, the extra part can also charge the energy storage device. When there is no charging demand, the photovoltaic equipment can directly charge the energy storage device. When there is a lack of sunlight, if there is a charging demand, the energy storage device can directly charge the device to be charged. If the demand for electricity is too high, the energy storage device can also be charged and stored during the off-peak hours of the city power supply to ensure that charging can proceed normally while minimizing costs.

[0081] Preferably, the specific steps of step S3 are:

[0082] Step S31, obtaining a specific installation location according to the installation plan of the solar energy storage and charging equipment, and obtaining meteorological data based on the specific installation location;

[0083] Step S32: determine the mains connected to the solar energy storage and charging device according to the specific installation location, and obtain grid fluctuation data according to the change of the mains over a period of time;

[0084] Step S33, determining the accident rate and construction probability near the solar energy storage and charging equipment according to the specific installation location;

[0085] Step S34: collect the building heights and garden ranges near the solar storage and charging equipment, and calculate the light shielding rate based on the building heights and garden ranges.

[0086] During the operation of the photovoltaic storage and charging equipment, there will be many disturbances in the surrounding area, which may be man-made or natural. Therefore, the specific installation location is first obtained according to the installation plan of the photovoltaic storage and charging equipment. Based on the specific installation location, the meteorological data of the photovoltaic storage and charging equipment and the mains power used to connect the photovoltaic storage and charging equipment can be obtained respectively. Among them, the change of meteorological data will have a relatively large impact on photovoltaic power generation, and the change of mains power will affect the charging of energy storage equipment, especially when the power grid fluctuates, it is easy to cause damage to the energy storage equipment. Therefore, the grid fluctuation data can be obtained by obtaining the change state of the mains power over time;

[0087] In addition, if accidents frequently occur in photovoltaic storage and charging equipment, it is easy to damage photovoltaic equipment and energy storage equipment. If there is construction, the scaffolding or other equipment used in the construction will also affect the lighting of the photovoltaic panels. Therefore, the accident rate and construction probability near the photovoltaic storage and charging equipment can also be determined based on the specific installation location. Finally, there are the existing buildings and gardens near the photovoltaic storage and charging equipment. At different time periods, the buildings and gardens may block the photovoltaic panels and affect the power generation efficiency of the photovoltaic panels.

[0088] Preferably, the specific steps of step S4 are:

[0089] Step S41, mapping meteorological data, power grid fluctuation data, building construction probability and light shielding rate into a third type of resources;

[0090] Step S42: constructing a disturbance DIKW model according to the third type of resources;

[0091] Step S43: The disturbance DIKW model is processed to obtain meteorological disturbance scenarios and human disturbance scenarios, wherein the human disturbance scenarios include power grid disturbances, natural change disturbances, and human change disturbances.

[0092] After collecting meteorological data, power grid fluctuation data, construction probability and light obstruction rate, they can be mapped into the third type of resources, and then a disturbance DIKW model can be constructed based on the third type of resources. The disturbance DIKW model can process the data and obtain meteorological disturbance scenarios and human disturbance scenarios through mutual conversion. The human disturbance scenarios are further subdivided into power grid disturbances, natural change disturbances and human change disturbances. The disturbance DIKW model can output simulated disturbances. The output simulated disturbance can be a single disturbance or a combination of multiple disturbances.

[0093] Preferably, the first type of resources, the second type of resources and the third type of resources all include data resources, information resources, knowledge resources and wisdom resources, and the data resources, information resources, knowledge resources and wisdom resources can be combined and converted with each other.

[0094] Both the energy control DIKW model and the disturbance DIKW model are constructed through typed resources, which include four types of resources: data resources, information resources, knowledge resources, and wisdom resources. The four resources can be converted and combined with each other. The DIKW model can process massive amounts of data, extract key features from them, form responsive knowledge, and produce strategies and simulate disturbances based on the wisdom level.

[0095] Preferably, the specific steps of step S5 are:

[0096] Step S51, determining an idle time period of the photovoltaic storage and charging device according to historical operation data of the photovoltaic storage and charging device;

[0097] Step S52, obtaining historical fault records of the optical storage and charging equipment, and extracting fault phenomenon characteristics based on the historical fault records;

[0098] Step S53: evaluate the correlation between the simulated disturbance and the fault phenomenon characteristics, inject the simulated disturbance with higher correlation into the energy control DIKW model during the idle time period, and adjust the energy control strategy based on the response of the energy control DIKW model.

[0099] The disturbance DIKW model can output several simulated disturbances, which can then be injected into the energy control DIKW model for adjusting the energy control strategy. In order to ensure that the adjustment process is not affected, it is necessary to carry out the adjustment in the idle time period of the photovoltaic storage and charging equipment. The idle time period can be determined through historical operation data. When injecting simulated disturbances, not all simulated disturbances are injected into the energy control DIKW model one by one. First, after extracting the fault phenomenon characteristics based on the historical fault records of the photovoltaic storage and charging equipment, the correlation between the simulated disturbance and the fault phenomenon characteristics can be evaluated. The evaluation method is to predict the changes in the key characteristics of the photovoltaic storage and charging equipment when the simulated disturbance occurs, and compare them with the fault phenomenon characteristics. If the degree of match is high, it can be judged that the correlation is high. Then, the simulated disturbance with a high correlation can be injected into the energy control DIKW model during the idle time period, and the energy control strategy can be adjusted based on the response of the energy control DIKW model to adapt to the corresponding work in advance.

[0100] Reference Figure 7 An energy control system of a light storage and charging device shown includes:

[0101] Collection unit 1, used to collect basic operation data of photovoltaic equipment and energy storage equipment;

[0102] Energy control unit 2, used for constructing an energy control DIKW model according to basic operation data, and obtaining an energy control strategy through processing by the energy control DIKW model;

[0103] Collection unit 3, used to collect external environment information and geographic information of the optical storage and charging equipment;

[0104] The disturbance generation unit 4 is used to construct a disturbance DIKW model according to the external environment information and the geographic information, and generate a number of simulated disturbances from the disturbance DIKW model;

[0105] An adjustment unit 5, used for injecting a simulated disturbance into the energy control DIKW model, and adjusting the energy control strategy based on a response of the energy control DIKW model;

[0106] The collection unit 1 is data-connected with the energy control unit 2 , the collection unit 3 is data-connected with the disturbance generation unit 4 , and the adjustment unit 5 is data-connected with the energy control unit 2 and the disturbance generation unit 4 , respectively.

[0107] The basic operating data of the photovoltaic equipment and energy storage equipment collected by the collection unit 1 can be transmitted to the energy control unit 2, which constructs the energy control DIKW model, and the energy control DIKW model can be processed to obtain the energy control strategy. The collection unit 3 can collect the external environment information and geographical information of the photovoltaic storage and charging equipment, and transmit it to the disturbance generation unit 4. The disturbance generation unit 4 can construct the disturbance DIKW model, and the disturbance DIKW model can generate a number of simulated disturbances. Finally, the adjustment unit 5 can inject the corresponding simulated disturbance into the energy control DIKW model, and adjust the energy control strategy according to the response of the energy control DIKW model, so as to allow the photovoltaic storage and charging equipment to adapt to possible disturbances in advance, and can make corresponding adjustments to the energy control strategy to ensure that the photovoltaic storage and charging equipment can operate stably.

[0108] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An energy control method for a light storage device, characterized in that: The following steps are involved: Step S1, collecting basic operating data of photovoltaic equipment and energy storage equipment; Step S2: construct an energy control DIKW model according to basic operation data, and obtain an energy control strategy through processing by the energy control DIKW model; Step S3, collecting external environment information and geographic information of the optical storage and charging equipment; Step S4, constructing a disturbance DIKW model according to the external environment information and the geographic information, and generating a number of simulated disturbances by the disturbance DIKW model; Step S5: inject the simulated disturbance into the energy control DIKW model, and adjust the energy control strategy based on the response of the energy control DIKW model.

2. The energy control method of a light storage device according to claim 1, characterized in that: The specific steps of step S1 are: Step S11, collecting the output voltage, current, power, received light intensity and photovoltaic panel temperature of the photovoltaic device, and outputting them as first basic operation data; Step S12, collecting the state of charge, charge and discharge current, charging time and discharge time of the energy storage device, and outputting them as second basic operation data; Step S13: performing data cleaning and denoising on the first basic operation data and the second basic operation data.

3. The energy control method of a light storage device according to claim 2, characterized in that: The specific steps of step S2 are: Step S21, calculating the photovoltaic power generation efficiency according to the output power of the photovoltaic device and the received light intensity, and mapping the photovoltaic power generation efficiency and the first basic operation data into a first type of resource; Step S22, calculating the charge and discharge efficiency according to the state of charge, charge and discharge current, and charging time of the energy storage device; Step S23: Calculate the self-discharge rate according to the state of charge and discharge time of the energy storage device, and map the charge and discharge efficiency, the self-discharge rate and the second basic operation data into a second type of resource; Step S24: construct an energy control DIKW model according to the first type of resources and the second type of resources, and obtain an energy control strategy through processing by the energy control DIKW model.

4. The energy control method of a light storage device according to claim 1 or 3, characterized in that: The energy control strategy includes: During periods of sufficient sunlight, the photovoltaic device is controlled to charge the energy storage device and / or to charge the device to be charged; When there is a lack of sunlight, the mains is controlled to charge the energy storage device during the off-peak period, and the energy storage device is controlled to charge the device to be charged.

5. The energy control method of a light storage device according to claim 1, characterized in that: The specific steps of step S3 are: Step S31, obtaining a specific installation location according to the installation plan of the solar energy storage and charging equipment, and obtaining meteorological data based on the specific installation location; Step S32: determine the mains connected to the solar energy storage and charging device according to the specific installation location, and obtain grid fluctuation data according to the change of the mains over a period of time; Step S33, determining the accident rate and construction probability near the solar energy storage and charging equipment according to the specific installation location; Step S34: collect the building heights and garden ranges near the solar storage and charging equipment, and calculate the light shielding rate based on the building heights and garden ranges.

6. The energy control method of a light storage device according to claim 5, characterized in that: The specific steps of step S4 are: Step S41, mapping meteorological data, power grid fluctuation data, building construction probability and light shielding rate into a third type of resources; Step S42: constructing a disturbance DIKW model according to the third type of resources; Step S43: The disturbance DIKW model is processed to obtain meteorological disturbance scenarios and human disturbance scenarios, wherein the human disturbance scenarios include power grid disturbances, natural change disturbances, and human change disturbances.

7. The energy control method of a light storage device according to claim 3 or 6, characterized in that: The first type of resources, the second type of resources and the third type of resources all include data resources, information resources, knowledge resources and wisdom resources, and the data resources, information resources, knowledge resources and wisdom resources can be combined and converted with each other.

8. The energy control method of a light storage device according to claim 1, characterized in that: The specific steps of step S5 are: Step S51, determining an idle time period of the photovoltaic storage and charging device according to historical operation data of the photovoltaic storage and charging device; Step S52, obtaining historical fault records of the optical storage and charging equipment, and extracting fault phenomenon characteristics based on the historical fault records; Step S53: evaluate the correlation between the simulated disturbance and the fault phenomenon characteristics, inject the simulated disturbance with higher correlation into the energy control DIKW model during the idle time period, and adjust the energy control strategy based on the response of the energy control DIKW model.

9. The energy control method of a light storage device according to claim 8, characterized in that: The evaluation method of the correlation is: predicting the changes in key characteristics of the light storage and charging equipment when the simulated disturbance occurs, and comparing them with the characteristics of the fault phenomenon, and determining the correlation based on the comparison results.

10. A system using the energy control method of the light storage and charging device according to claims 1-9, characterized in that: include: A collection unit, used to collect basic operating data of photovoltaic equipment and energy storage equipment; An energy control unit is used to construct an energy control DIKW model according to basic operation data, and obtain an energy control strategy through processing by the energy control DIKW model; A collection unit, used to collect external environment information and geographic information of the optical storage and charging equipment; A disturbance generation unit is used to construct a disturbance DIKW model according to external environmental information and geographic information, and generate a number of simulated disturbances from the disturbance DIKW model; An adjustment unit, used for injecting a simulated disturbance into the energy control DIKW model, and adjusting the energy control strategy based on a response of the energy control DIKW model; The collection unit is data-connected with the energy control unit, the acquisition unit is data-connected with the disturbance generation unit, and the adjustment unit is data-connected with the energy control unit and the disturbance generation unit respectively.

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