Load cooperative control method and device, optical storage and charging equipment, medium and product

Abstract

The application belongs to the technical field of light storage and charging equipment, and particularly relates to a load cooperative control method and device, light storage and charging equipment, medium and product. The method comprises the following steps: collecting an input voltage signal of the light storage and charging equipment, determining a voltage level type of the input voltage signal according to the input voltage signal, determining a communication protocol respectively adapted to a photovoltaic inverter, an energy storage battery and a charging pile based on the voltage level type and a mapping relationship between the voltage level type and the communication protocol. Based on the respective adapted communication protocols, the power supply load data of the photovoltaic inverter, the energy storage battery and the charging pile are collected, and then the output power of the photovoltaic inverter, the charge and discharge rate of the energy storage battery and the power supply power of the charging pile are cooperatively controlled according to the respective power supply load data. The application effectively improves the precision of load regulation and improves the cooperative control effect of the light storage and charging equipment.

Description

Technical Field

[0001] This application belongs to the technical field of optical storage and charging equipment, specifically relating to a load coordination control method, device, optical storage and charging equipment, medium and product. Background Technology

[0002] With the promotion and application of renewable energy, photovoltaic-storage-charging equipment that integrates photovoltaic inverters, energy storage batteries and charging piles has been widely used in electric vehicle charging stations, industrial parks and home microgrids.

[0003] In related technologies, when performing load coordination control on photovoltaic inverters, energy storage batteries, and charging piles in photovoltaic-energy storage-charging equipment, the communication parameters are typically set manually according to the equipment model. This allows each device to transmit data with the controller using a pre-configured fixed communication protocol. Under this communication architecture, real-time data on the output load of the photovoltaic inverter, the charging and discharging load of the energy storage battery, and the power load of the charging pile are collected and summarized to obtain the total load of the photovoltaic-energy storage-charging equipment. Then, unified power regulation operations are directly executed on each component to maintain the total load within a preset range.

[0004] However, the above methods result in low load regulation accuracy, affecting the effectiveness of coordinated control. Summary of the Invention

[0005] This application provides a load coordination control method, device, optical storage and charging equipment, medium, and product to solve the problem of improving load regulation accuracy in order to enhance the coordination control effect.

[0006] In a first aspect, this application provides a load coordination control method applied to a photovoltaic-storage-charging device, wherein the photovoltaic-storage-charging device integrates a photovoltaic inverter, an energy storage battery, and a charging pile, and the method includes:

[0007] Acquire the input voltage signal of the optical storage and charging device;

[0008] Based on the input voltage signal, determine the voltage level type of the input voltage signal;

[0009] Based on the voltage level type, the communication protocol adapted to each of the photovoltaic inverter, the energy storage battery, and the charging pile is determined by the pre-configured mapping relationship between the voltage level type and the communication protocol.

[0010] Based on their respective adapted communication protocols, the power supply load data of the photovoltaic inverter, the energy storage battery, and the charging pile are collected.

[0011] Based on their respective power supply load data, the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply of the charging pile are controlled in a coordinated manner.

[0012] In one possible implementation, determining the voltage level type of the input voltage signal based on the input voltage signal includes:

[0013] The input voltage signal is subjected to multi-stage noise reduction processing to obtain the processed first target voltage signal, and the fluctuation characteristics of the target voltage signal are recorded.

[0014] Obtain the pre-configured correlation between voltage signal amplitude range and voltage level type;

[0015] Based on the fluctuation characteristics and the correlation, the target voltage signal is identified, and the voltage level type of the input voltage signal is determined.

[0016] In one possible implementation, identifying the target voltage signal based on the fluctuation characteristics and the correlation, and determining the voltage level type of the input voltage signal, includes:

[0017] Based on the fluctuation characteristics, the voltage signal amplitude range in the correlation is calibrated to obtain the calibrated target correlation.

[0018] The target voltage signal is searched within the target correlation to determine the target voltage signal amplitude range in which the first target voltage signal is located.

[0019] The voltage level type corresponding to the amplitude range of the target voltage signal is determined as the voltage level type of the input voltage signal.

[0020] In one possible implementation, determining the voltage level type of the input voltage signal based on the input voltage signal includes:

[0021] The input voltage signal is subjected to noise reduction and feature extraction to obtain the processed second target voltage signal;

[0022] The second target voltage signal is input into a pre-trained convolutional neural network model, which outputs the voltage level type corresponding to the input voltage signal.

[0023] The convolutional neural network model is trained based on historical voltage data and corresponding voltage level type data under multiple operating conditions of the photovoltaic energy storage and charging equipment.

[0024] In one possible implementation, determining the communication protocol compatible with each of the photovoltaic inverter, the energy storage battery, and the charging pile based on the voltage level type and through a pre-configured mapping relationship between voltage level types and communication protocols includes:

[0025] The system invokes a pre-configured mapping relationship between voltage level types and communication protocols, where the mapping relationship is categorized and stored according to the device type of the photovoltaic inverter, the energy storage battery, and the charging pile.

[0026] The historical communication records of the photovoltaic inverter, the energy storage battery and the charging pile are obtained from the blockchain distributed ledger. The historical communication records include the communication protocols used to successfully establish communication under different voltage levels and the corresponding communication quality scores.

[0027] Based on the voltage level type, a set of candidate communication protocols that match each type are selected from the mapping relationship;

[0028] Based on their respective sets of matching candidate communication protocols and their respective historical communication records, the appropriate communication protocol is determined.

[0029] In one possible implementation, determining the appropriate communication protocol based on the respective matching candidate communication protocol sets and their respective historical communication records includes:

[0030] Invoke the preset communication protocol screening and evaluation rules deployed on the blockchain;

[0031] According to the preset communication protocol screening and evaluation rules, the candidate communication protocol sets that match each other are compared with the communication protocols used in the corresponding historical communication records to determine the common communication protocols.

[0032] The communication protocol with the highest score among the corresponding common communication protocols is determined as the communication protocol adapted to each of the photovoltaic inverter, energy storage battery and charging pile.

[0033] In one possible implementation, determining the appropriate communication protocol based on the respective matching candidate communication protocol sets and their respective historical communication records includes:

[0034] Invoke the preset communication protocol screening and evaluation rules deployed on the blockchain;

[0035] According to the preset communication protocol screening and evaluation rules, the candidate communication protocol sets that match each other are compared with the communication protocols used in the corresponding historical communication records to determine the common communication protocols.

[0036] The communication protocol with the highest score among the corresponding common communication protocols is determined as the communication protocol adapted to each of the photovoltaic inverter, energy storage battery and charging pile.

[0037] In one possible implementation, the coordinated control of the output power of the photovoltaic inverter, the charge / discharge rate of the energy storage battery, and the power supply of the charging pile based on the respective power supply load data includes:

[0038] By analyzing the power supply load data of the photovoltaic inverter, the energy storage battery, and the charging pile, the output power of the photovoltaic inverter, the state of charge and charge / discharge rate of the energy storage battery, and the power demand of the charging pile can be obtained.

[0039] Determine the net load deviation based on the output power and the required power;

[0040] If the net load deviation is greater than the preset net load deviation threshold, then the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply of the charging pile are controlled in a coordinated manner based on the output power, the demand power, and the state of charge.

[0041] In one possible implementation, the coordinated control of the output power of the photovoltaic inverter, the charge / discharge rate of the energy storage battery, and the power supply of the charging pile based on the output power, the demand power, and the state of charge includes:

[0042] If the output power is greater than the required power and the state of charge is less than or equal to a preset upper limit of the charge threshold, then the charging rate of the energy storage battery is increased to the preset charging rate.

[0043] If the output power is greater than the required power and the state of charge is greater than the preset upper limit of the charge threshold, then reduce the output power of the photovoltaic inverter to the required power.

[0044] If the output power is less than or equal to the required power, and the state of charge is greater than or equal to a preset lower limit of the charge threshold, then the discharge rate of the energy storage battery is increased to a preset discharge rate.

[0045] If the output power is less than or equal to the required power, and the state of charge is less than the preset lower limit of the charge threshold, then the power supply of the charging pile is reduced to the output power of the photovoltaic inverter.

[0046] Secondly, this application provides a load coordination control device applied to a photovoltaic-storage-charging device, wherein the photovoltaic-storage-charging device integrates a photovoltaic inverter, an energy storage battery, and a charging pile, and the device includes:

[0047] The acquisition module is used to acquire the input voltage signal of the optical storage and charging device;

[0048] The determining module is used to determine the voltage level type of the input voltage signal based on the input voltage signal;

[0049] The determining module is used to determine the communication protocol adapted to each of the photovoltaic inverter, the energy storage battery, and the charging pile based on the voltage level type and through a pre-configured mapping relationship between the voltage level type and the communication protocol.

[0050] The acquisition module is also used to acquire power load data of the photovoltaic inverter, the energy storage battery and the charging pile respectively based on the respective adapted communication protocols;

[0051] The control module is used to coordinately control the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply of the charging pile based on their respective power supply load data.

[0052] Thirdly, this application provides a photovoltaic-storage-charging device, which includes: a photovoltaic inverter, an energy storage battery, a charging pile, a memory, and a processor;

[0053] The memory stores computer-executed instructions;

[0054] The processor executes computer execution instructions stored in the memory, causing the processor to perform the first aspect and / or various possible implementations of the first aspect.

[0055] Fourthly, this application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the first aspect and / or various possible embodiments of the first aspect.

[0056] Fourthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the first aspect and / or various possible implementations of the first aspect.

[0057] The load coordination control method, device, photovoltaic-storage-charging equipment, medium, and product provided in this application acquire the input voltage signal of the photovoltaic-storage-charging equipment and identify the corresponding voltage level type. Based on the preset mapping relationship between voltage level and communication protocol, it matches suitable communication protocols for the photovoltaic inverter, energy storage battery, and charging pile respectively. This fundamentally avoids the problem of poor communication compatibility caused by manually setting fixed communication protocols in related technologies, effectively ensuring the stability of data transmission for each device. Furthermore, it can accurately acquire independent power supply load data for each device based on their respective adapted communication protocols, reducing the deviations caused by the unified aggregation of total load and coarse-grained control in related technologies. Finally, based on the power supply load data of each device, it can specifically coordinate and control the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply power of the charging pile, thereby effectively improving the accuracy of load regulation and enhancing the coordinated control effect of the photovoltaic-storage-charging equipment. Attached Figure Description

[0058] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0059] Figure 1 This is a schematic diagram of an application scenario provided by an embodiment of this application;

[0060] Figure 2 A schematic flowchart illustrating a load coordination control method provided in an embodiment of this application;

[0061] Figure 3 A flowchart illustrating a method for determining the voltage level type of an input voltage signal, provided in an embodiment of this application;

[0062] Figure 4 A flowchart illustrating another method for determining the voltage level type of an input voltage signal provided in an embodiment of this application;

[0063] Figure 5 A flowchart illustrating a method for determining the communication protocol compatible with each device, provided in an embodiment of this application;

[0064] Figure 6 A flowchart illustrating a method for coordinated control of various devices in an optical energy storage and charging device, provided in an embodiment of this application;

[0065] Figure 7 This is a schematic diagram of the structure of a load coordination control device provided in an embodiment of this application;

[0066] Figure 8 This is a schematic diagram of the structure of an optical energy storage and charging device provided in an embodiment of this application.

[0067] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0068] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0069] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented, for example, in orders other than those illustrated or described herein.

[0070] In this application, the terms "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0071] With the advancement of dual-carbon goals and the continuous iteration of renewable energy technologies, the integration of photovoltaic power generation, energy storage, and new energy vehicle charging facilities is deepening. Integrated photovoltaic-energy storage-charging equipment, which combines power generation, energy storage, and charging functions, has been widely deployed in diverse application scenarios such as charging stations, industrial parks, and residential community microgrids, becoming a core equipment for the construction of distributed energy systems, thanks to its advantages of being green and low-carbon, peak shaving and valley filling, and local energy consumption.

[0072] In related technologies, the multi-device collaborative operation and management mode of integrated photovoltaic, energy storage, and charging equipment is relatively fixed. For the photovoltaic inverters, energy storage batteries, and charging piles integrated within the equipment, maintenance personnel typically rely on manual configuration of communication parameters and interaction logic for each device based on hardware specifications. Data exchange between the photovoltaic inverters, energy storage batteries, and charging piles and the control terminal is bound to a fixed communication protocol, making dynamic adjustments impossible based on the on-site power supply environment and equipment operating status. The control terminal collects real-time data on the output load of the photovoltaic inverter, the charging and discharging load of the energy storage battery, and the power load of the charging pile through a preset communication protocol. The collected load data is then aggregated into the total load of the photovoltaic, energy storage, and charging equipment. Based on preset power thresholds, unified power regulation operations are performed on the photovoltaic inverters, energy storage batteries, and charging piles to maintain a stable total load.

[0073] However, the above method relies on manually preset fixed communication protocols, which may lead to unstable communication quality, affect the accuracy of data acquisition, and consequently result in low load regulation precision, affecting the coordinated control effect of photovoltaic storage and charging equipment.

[0074] Therefore, addressing the aforementioned problems in related technologies, this application proposes a load coordination control method. Considering the characteristics of photovoltaic, energy storage, and charging equipment input voltage varying with application scenarios and the need for different communication protocol adaptations at different voltage levels, this application proposes an overall approach of adaptively matching communication protocols based on voltage levels, accurately collecting load data, and achieving differentiated coordinated control. Specifically, the input voltage signal of the photovoltaic, energy storage, and charging equipment is collected. This signal determines the current voltage level type, and a pre-configured mapping relationship between voltage level types and communication protocols is used to match suitable communication protocols for each of the photovoltaic inverter, energy storage battery, and charging pile, thus resolving the communication instability issue caused by fixed communication protocols. Furthermore, based on the adapted communication protocols, the power supply load data of each device is accurately collected. Based on the load data of each device, targeted coordinated control is then implemented on the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply power of the charging pile, thereby improving the accuracy of load regulation and the effectiveness of coordinated control.

[0075] To facilitate understanding of the methods in this application, specific examples are provided below. Please refer to [link / reference]. Figure 1 , Figure 1 This is a schematic diagram of an application scenario provided by an embodiment of this application. In this scenario, the photovoltaic-storage-charging equipment integrates a photovoltaic inverter 01, an energy storage battery 02, and a charging pile 03. This type of photovoltaic-storage-charging equipment can be deployed in various distributed energy application scenarios, such as distributed photovoltaic grid-connected supporting scenarios, mobile charging supporting scenarios, and small-scale distributed power supply scenarios.

[0076] In the above scenarios, the photovoltaic-storage-charging equipment needs to undertake the comprehensive functions of photovoltaic power generation conversion, energy storage regulation and charging supply for various electrical devices. It also needs to maintain the total load within a preset reasonable range by dynamically coordinating the output power of the photovoltaic inverter 01, the charging and discharging rate of the energy storage battery 02 and the power supply of the charging pile 03, so as to ensure power supply stability, thereby reducing problems such as grid overload, energy waste and power outage, and adapting to the power demand and energy regulation requirements under different scenarios.

[0077] It is understood that the examples in the above scenarios are for illustrative purposes only and do not limit this application. The specifics can be determined based on the actual application situation.

[0078] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0079] Please see Figure 2 , Figure 2 This is a flowchart illustrating a load coordination control method provided in an embodiment of this application. The executing entity of this method can be a control device in an optical storage and charging device, and the control device can be a processor, controller, or control chip, etc. Figure 2 As shown, the method may include the following steps:

[0080] S201. Collect the input voltage signal of the optical storage and charging equipment.

[0081] In this embodiment, the control device is described using a controller as an example. The photovoltaic energy storage and charging equipment integrates a photovoltaic inverter, an energy storage battery, and a charging pile.

[0082] The input voltage signal of the photovoltaic energy storage and charging equipment can come from the external power grid. The input voltage signal is acquired in real time through the built-in voltage acquisition module or voltage acquisition interface to ensure that the acquired voltage signal can truly reflect the current power supply status of the photovoltaic energy storage and charging equipment.

[0083] The controller can acquire the input voltage signal of the photovoltaic energy storage and charging device through the voltage acquisition module or voltage acquisition interface mentioned above.

[0084] S202. Determine the voltage level type of the input voltage signal based on the input voltage signal.

[0085] The operating conditions of photovoltaic energy storage and charging equipment vary, and the input voltage will fluctuate depending on the scenario. For example, the scenario can be a 220V single-phase household low-voltage scenario or a 380V three-phase industrial and commercial high-voltage scenario.

[0086] If load regulation is performed directly based on the input voltage signal, the regulation result may not match the actual operating conditions, resulting in a large deviation in regulation.

[0087] Therefore, in this embodiment, the acquired input voltage signal can be subjected to basic noise reduction processing to remove irrelevant interference signals, and then the level type corresponding to the current voltage can be determined by identifying the processed voltage signal, thereby providing accurate basic parameters for subsequent load coordinated control.

[0088] S203. Based on the voltage level type, determine the communication protocol that is compatible with the photovoltaic inverter, energy storage battery and charging pile respectively through the pre-configured mapping relationship between the voltage level type and the communication protocol.

[0089] In the field of power equipment, different voltage levels correspond to different electromagnetic environments, equipment hardware specifications, and data transmission requirements. The factory communication configurations, anti-interference requirements, and data interaction specifications of photovoltaic inverters, energy storage batteries, and charging piles differ significantly between low-voltage single-phase and high-voltage three-phase operating conditions. Therefore, this embodiment pre-configures the mapping relationship between voltage level types and communication protocols.

[0090] Once the voltage level type is determined, the controller automatically invokes the mapping relationship and matches the corresponding communication protocols for the photovoltaic inverter, energy storage battery, and charging pile according to the current voltage level. This ensures that the communication protocols of each device are compatible with the current voltage conditions and reduces communication instability caused by fixed communication protocols.

[0091] S204. Based on their respective adapted communication protocols, collect the power supply load data of the photovoltaic inverter, energy storage battery and charging pile respectively.

[0092] According to the matched communication protocol, the controller establishes communication links with the photovoltaic inverter, energy storage battery and charging pile respectively, and transmits data acquisition commands through the communication interface of the corresponding communication protocol.

[0093] Optionally, for photovoltaic inverters, real-time output power and power generation data, as well as other power supply load data, are collected through an adaptation protocol. For energy storage batteries, real-time charging and discharging power and state of charge data, as well as other load data, are collected through an adaptation protocol. For charging piles, real-time power demand, charging current, and charging time data, as well as other load data, are collected through an adaptation protocol.

[0094] Because the communication protocol is compatible with the voltage level, packet loss and delay can be reduced during data transmission, thereby ensuring that the power load data of photovoltaic inverters, energy storage batteries and charging piles collected are true and accurate.

[0095] S205. Based on their respective power supply load data, the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply power of the charging pile are controlled in a coordinated manner.

[0096] The controller processes the operating status and load demand of each device based on the power supply load data of the photovoltaic inverter, energy storage battery and charging pile, and makes decisions on targeted collaborative control strategies.

[0097] Optionally, if the output power of the photovoltaic inverter is too high, while the power demand of the charging pile is low and the state of charge of the energy storage battery is low, the charging rate of the energy storage battery will be increased to absorb the excess energy. If the output power of the photovoltaic inverter is insufficient, while the power demand of the charging pile is high and the state of charge of the energy storage battery is high, the discharging rate of the energy storage battery will be increased to supplement the power supply gap. If the loads of the three are balanced, the current operating parameters of each device will be maintained.

[0098] In the above embodiments of this application, by collecting the input voltage signal of the photovoltaic-storage-charging device and identifying the corresponding voltage level type, and relying on the preset mapping relationship between voltage level and communication protocol, suitable communication protocols are matched for the photovoltaic inverter, energy storage battery, and charging pile respectively. This fundamentally avoids the problem of poor communication compatibility caused by manually setting fixed communication protocols in related technologies, effectively ensuring the stability of data transmission for each device. Furthermore, it can accurately collect the independent power supply load data of each device based on their respective adapted communication protocols, reducing the deviation caused by the unified aggregation of total load and coarse control in related technologies. Finally, based on the power supply load data of each device, targeted coordinated control is performed on the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply power of the charging pile. The method of this embodiment significantly improves the accuracy of data collection by dynamically adapting communication protocols, providing a reliable basis for subsequent load adjustment, thereby effectively improving the accuracy of load adjustment and improving the coordinated control effect of the photovoltaic-storage-charging device.

[0099] Furthermore, based on the above embodiments, the following embodiments illustrate the process of determining the voltage level type of the input voltage signal according to the input voltage signal.

[0100] One possible implementation is, please see [link / reference] Figure 3 , Figure 3 A flowchart illustrating a method for determining the voltage level type of an input voltage signal, provided in an embodiment of this application, includes the following steps:

[0101] S301. Perform multi-stage noise reduction processing on the input voltage signal to obtain the processed first target voltage signal, and record the fluctuation characteristics of the target voltage signal.

[0102] After the controller receives the input voltage signal, it performs the first stage of noise reduction processing.

[0103] Optionally, a low-pass filter can be used to filter out high-frequency interference signals with frequencies higher than a preset frequency, such as power grid harmonic interference.

[0104] A second stage of noise reduction is performed on the input voltage signal after filtering out high-frequency interference signals.

[0105] Optionally, an adaptive filtering algorithm can be used to dynamically filter out instantaneous interference signals, such as voltage fluctuations caused by equipment start-up and shutdown, based on the fluctuation trend of the voltage signal.

[0106] The input voltage signal, after filtering out transient interference signals, undergoes a third stage of noise reduction processing.

[0107] Optionally, a Kalman filter algorithm can be used to filter out environmental interference signals, such as signal drift caused by temperature fluctuations, based on the fluctuation pattern of the input voltage signal and the real-time sampling deviation.

[0108] After the above multi-stage noise reduction processing, a smooth and stable first target voltage signal is obtained.

[0109] In this embodiment, the fluctuation characteristics of the first target voltage signal can also be recorded. The fluctuation characteristics can include parameters such as fluctuation amplitude, fluctuation frequency, and fluctuation period. Among them, the fluctuation amplitude is the difference between the maximum and minimum values ​​of the voltage signal, the fluctuation frequency is the number of voltage fluctuations per unit time, and the fluctuation period is the duration of a single fluctuation. The above fluctuation characteristics can reflect the stability of the voltage signal, thereby providing supplementary basis for subsequent voltage level identification.

[0110] S302. Obtain the pre-configured correlation between voltage signal amplitude range and voltage level type.

[0111] In this embodiment, the correlation between voltage signal amplitude range and voltage level type is pre-configured in the controller to characterize the correspondence between voltage signal amplitude range and voltage level type.

[0112] For example, 180V-220V is low voltage type 1 (household grade), 220V-240V is low voltage type 2 (small commercial grade), 350V-380V is high voltage type 1 (medium industrial grade), and 380V-410V is high voltage type 2 (large industrial grade).

[0113] It is understood that the above examples are for illustrative purposes only and do not limit this application.

[0114] S303. Based on the fluctuation characteristics and correlation, identify the target voltage signal and determine the voltage level type of the input voltage signal.

[0115] Based on the fluctuation characteristics, the voltage signal amplitude range in the correlation is calibrated to obtain the calibrated target correlation.

[0116] Optionally, if the fluctuation amplitude is greater than a preset fluctuation amplitude threshold for the corresponding interval, such as 5V, the amplitude range of that interval is reduced by a preset amplitude, such as by 3V. If the fluctuation frequency is higher than a preset fluctuation frequency threshold, the amplitude range of that interval is reduced by a preset range. Calibration ensures that the correlation matches the actual fluctuation state of the current voltage signal, thereby obtaining the calibrated target correlation.

[0117] The target voltage signal is searched in the target association relationship to determine the target voltage signal amplitude range where the first target voltage signal is located, and the voltage level type corresponding to the target voltage signal amplitude range is determined as the voltage level type of the input voltage signal.

[0118] Optionally, the amplitude of the first target voltage signal is substituted into the above-mentioned target correlation relationship for searching to determine the target voltage signal amplitude range in which it is located, and then the voltage level type corresponding to the target voltage signal amplitude range is determined as the voltage level type of the input voltage signal.

[0119] For example, assuming the amplitude of the first target voltage signal is 230V and the fluctuation amplitude is 6V, and the amplitude range of low voltage type 2 after calibration is 220V-235V, then if the amplitude of the first target voltage signal is within this range, the voltage level type is determined to be low voltage type 2.

[0120] In the above embodiments, by performing multi-level noise reduction processing on the acquired input voltage signal to remove various interferences in the signal, a stable first target voltage signal is obtained and its fluctuation characteristics are recorded. Combined with the pre-configured correlation between voltage signal amplitude range and voltage level type, the correlation is calibrated and the amplitude range is matched through fluctuation characteristics, thereby achieving accurate identification of voltage level type.

[0121] One possible implementation is, please see [link / reference] Figure 4 , Figure 4 A flowchart illustrating another method for determining the voltage level type of an input voltage signal provided in this application embodiment, the method may include the following steps:

[0122] S401. The input voltage signal is subjected to noise reduction and feature extraction to obtain the processed second target voltage signal.

[0123] Optionally, noise reduction processing can be adopted with Figure 3The same three-stage noise reduction method is shown to remove high-frequency interference signals and transient interference signals. Feature extraction processing can use wavelet transform algorithm to extract the time-domain and frequency-domain features of the input voltage signal. The extracted time-domain and frequency-domain features are then fused to obtain a second target voltage signal that can comprehensively reflect the characteristics of the voltage signal.

[0124] The second target voltage signal can effectively distinguish the differences between different voltage levels, thereby improving the accuracy of model recognition in the following steps.

[0125] S402. Input the second target voltage signal into the pre-trained convolutional neural network model and output the voltage level type corresponding to the input voltage signal.

[0126] In this embodiment, the training of the convolutional neural network model was completed in advance. This convolutional neural network model was trained based on historical voltage data and corresponding voltage level type data under multiple operating conditions of the photovoltaic energy storage and charging equipment.

[0127] Specifically, historical voltage data and corresponding voltage level data of photovoltaic energy storage and charging equipment under multiple operating conditions are collected. After noise reduction and feature extraction processing, the historical voltage data is input into the initial convolutional neural network model. Using the voltage level type as a label, the gradient descent algorithm is used to iteratively train the initial network parameters of the model until the model's test accuracy reaches the preset accuracy threshold, thereby completing the model training.

[0128] Once trained, the model can quickly identify the voltage level type corresponding to voltage signals under different operating conditions. After inputting the second target voltage signal into the model, the model analyzes the features and outputs the corresponding voltage level type, thereby achieving rapid and accurate identification of the voltage level.

[0129] In the above embodiments of this application, by performing noise reduction and feature extraction processing on the input voltage signal, a second target voltage signal that can fully reflect the characteristics of the voltage signal is obtained. Then, a convolutional neural network model trained based on historical voltage data and corresponding level data of the optical storage and charging equipment under multiple operating conditions is used to realize the rapid identification of the voltage level type corresponding to the second target voltage signal, thereby ensuring the accuracy and stability of voltage level type identification.

[0130] In summary, if a rule-based voltage level identification method is used, the voltage level type is matched based on fluctuation characteristics and correlations. If a model-based identification method is used, the denoised signal is input into a convolutional neural network model, and the voltage level type is output. The two methods can be dynamically switched according to the equipment hardware configuration and real-time requirements.

[0131] Furthermore, based on any of the above embodiments, the following examples illustrate the process of determining the communication protocols suitable for each of the photovoltaic inverter, energy storage battery, and charging pile based on the voltage level type and through a pre-configured mapping relationship between the voltage level type and the communication protocol.

[0132] Please see Figure 5 , Figure 5 A flowchart illustrating a method for determining the communication protocol compatible with each device, provided in an embodiment of this application, may include the following steps:

[0133] S501, invoke the pre-configured mapping relationship between voltage level type and communication protocol.

[0134] In this embodiment, a mapping relationship between voltage level type and communication protocol is pre-configured in the controller. The mapping relationship is stored according to the equipment type of photovoltaic inverter, energy storage battery and charging pile. One voltage level type can correspond to at least one communication protocol.

[0135] S502. Obtain the historical communication records of the photovoltaic inverter, energy storage battery and charging pile from the blockchain distributed ledger. The historical communication records include the communication protocols used to successfully establish communication under different voltage levels and the corresponding communication quality scores.

[0136] Among its features, blockchain distributed ledger possesses the characteristics of immutability and distributed storage. Each time a photovoltaic inverter, energy storage battery, and charging pile establishes communication, they simultaneously record the communication protocol type, communication time, and communication quality score on the blockchain. The immutability of blockchain ensures the authenticity of historical communication records, providing a reliable basis for subsequent communication protocol selection.

[0137] The controller calls the interface through the blockchain node to obtain the historical communication records of the photovoltaic inverter, energy storage battery and charging pile under the current voltage level type.

[0138] The communication quality score is recorded in historical communication logs. It can be determined based on indicators such as data transmission latency and packet loss rate during data transmission. For example, a weighted scoring method can be used to comprehensively evaluate the communication quality score. Data transmission latency and packet loss rate are assigned corresponding weights, and the final score is calculated by weighting the real-time detection values ​​of these two indicators. Lower values ​​for transmission latency and packet loss rate correspond to a higher communication quality score, thus quantitatively representing the actual communication operation status of different communication protocols.

[0139] S503. Based on the voltage level type, select the corresponding set of candidate communication protocols from the mapping relationship.

[0140] Based on the determined input voltage level type, the controller performs a precise search on the pre-configured mapping relationship stored according to the types of photovoltaic inverters, energy storage batteries, and charging piles. During the search, the controller strictly matches the dual correspondence rule of voltage level type and equipment type, and selects communication protocols that are fully compatible with the current voltage level type for photovoltaic inverters, energy storage batteries, and charging piles, generating an independent set of candidate communication protocols for each device.

[0141] S504. Based on their respective sets of matching candidate communication protocols and their respective historical communication records, determine the appropriate communication protocol for each.

[0142] The controller invokes the preset communication protocol screening and evaluation rules deployed on the blockchain, and compares the candidate communication protocols that match each device with the communication protocols used in the corresponding historical communication records to determine the common communication protocol. The communication protocol with the highest score among the common communication protocols is determined as the communication protocol suitable for each photovoltaic inverter, energy storage battery, and charging pile.

[0143] The controller invokes the preset communication protocol filtering and evaluation rules deployed on the blockchain, which are pre-written into the blockchain's smart contract.

[0144] The preset communication protocol selection and evaluation rules can prioritize shared communication protocols from the candidate communication protocol set and historical communication records. If multiple shared communication protocols exist, the protocol with the highest historical communication quality score is selected. If no shared communication protocol exists, the default protocol from the candidate communication protocol set is selected.

[0145] The controller uses preset communication protocol selection and evaluation rules, combined with historical communication records stored in the blockchain, to compare the candidate communication protocol sets of each device with the communication protocols used in the corresponding historical communication records, and determines the common communication protocol. After determining the common communication protocols for photovoltaic inverters, energy storage batteries, and charging piles, the communication protocol with the highest score among the common communication protocols for each device is determined as the appropriate communication protocol for that device.

[0146] In the above embodiments of this application, by invoking the mapping relationship between voltage levels and communication protocols stored according to device type, it is ensured that the selected protocols are adapted to the hardware characteristics of each device and the current voltage level operating conditions from the source. Historical communication records and corresponding communication quality scores of each device are obtained from the blockchain distributed ledger, which has immutable and distributed storage characteristics, ensuring the authenticity and traceability of historical data and providing a reliable basis for accurate selection of communication protocols. Subsequently, based on the current voltage level, a set of candidate communication protocols for each device is selected from the mapping relationship, ensuring that all candidate protocols are adapted to the current voltage operating conditions. Then, the final adapted protocol is determined by combining the candidate protocol set with historical communication records, realizing the combination of protocol adaptation and historical communication performance to improve the stability of communication protocol adaptation. The method of this embodiment avoids the drawbacks of traditional manual setting of fixed protocols. It ensures the compatibility of protocols with voltage levels and device types through mapping relationships, ensures the credibility of the protocol selection process through blockchain technology, and improves the rationality and stability of protocol adaptation by combining historical communication quality scores, thereby ensuring the smoothness and accuracy of data transmission from each device.

[0147] Below, based on any of the above embodiments, the following examples illustrate the process of collecting power load data of the photovoltaic inverter, energy storage battery, and charging pile according to their respective adapted communication protocols, so as to coordinately control the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply power of the charging pile according to their respective power load data.

[0148] Please see Figure 6 , Figure 6 This application provides a flowchart illustrating a method for coordinated control of various devices in an optical energy storage and charging system. The method may include the following steps:

[0149] S601. Analyze the power supply load data of the photovoltaic inverter, energy storage battery and charging pile respectively to obtain the output power of the photovoltaic inverter, the state of charge and charging and discharging rate of the energy storage battery, and the power demand of the charging pile.

[0150] The controller collects real-time power load data from each device through an adapted communication protocol and then parses and processes the data.

[0151] For photovoltaic inverters, the controller analyzes their real-time output power, which reflects the inverter's current power generation capacity. For energy storage batteries, the controller analyzes their real-time state of charge (SOC) and current charge / discharge rate. SOC reflects the remaining charge of the battery, and the charge / discharge rate reflects the rate at which it absorbs or releases energy. For charging stations, the controller analyzes their real-time power demand, which reflects the charging station's current charging needs.

[0152] During the parsing process, the controller can remove abnormal data, such as data that exceeds the device's rated range, thereby ensuring that the parsed data is authentic and valid.

[0153] S602. Determine the net load deviation based on the output power and the required power.

[0154] The net load of a photovoltaic-storage-charging system is the difference between the power demand of the charging pile and the output power of the photovoltaic inverter. When the difference is greater than 0, it indicates that the power demand of the charging pile is greater than the output power of the photovoltaic inverter, and the photovoltaic-storage-charging system has a power supply gap, requiring the energy storage battery to discharge to supplement it. When the difference is less than or equal to 0, it indicates that the output power of the photovoltaic inverter is greater than or equal to the power demand of the charging pile, and the photovoltaic-storage-charging system has excess energy, requiring the energy storage battery to charge and absorb it or reduce the output power of the photovoltaic inverter.

[0155] S603. If the net load deviation is greater than the preset net load deviation threshold, the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply of the charging pile shall be controlled in a coordinated manner according to the output power, the demand power, and the state of charge.

[0156] In this embodiment, the preset net load deviation threshold can be set according to the rated power of the photovoltaic storage and charging equipment. When the net load deviation is greater than the preset net load deviation threshold, the coordinated control operation is triggered. If the net load deviation is less than or equal to the preset net load deviation threshold, it indicates that the load of the photovoltaic storage and charging equipment is basically balanced, and it is sufficient to maintain the current operating parameters of each device without adjustment, thereby reducing energy waste and equipment damage caused by excessive adjustment.

[0157] Optionally, if the net load deviation is greater than the preset net load deviation threshold, the output power is greater than the required power, and the state of charge is less than or equal to the preset upper limit of the state of charge threshold, then the charging rate of the energy storage battery is increased to the preset charging rate.

[0158] In this embodiment, the principle behind setting the preset upper limit charge threshold is to avoid overcharging of the energy storage battery and extend its service life.

[0159] If the output power is greater than the required power and the state of charge is less than or equal to the preset upper limit of the charge threshold, it indicates that the photovoltaic energy storage and charging device has excess power and the energy storage battery still has room for charging.

[0160] Therefore, the control strategy can be to increase the charging rate of the energy storage battery to a preset charging rate, where the preset charging rate can be a preset percentage of the rated charging rate of the energy storage battery. By absorbing excess electrical energy through the energy storage battery, energy waste is avoided, the load balance of the photovoltaic-energy storage-charging equipment is maintained, and the energy storage battery is protected from damage.

[0161] Optionally, if the output power is greater than the required power and the state of charge is greater than the preset upper limit of the charge threshold, the output power of the photovoltaic inverter is reduced to the required power.

[0162] If the output power is greater than the required power and the state of charge is greater than the preset upper limit of the charge threshold, it means that the energy storage battery is close to full charge and cannot continue to absorb excess energy. If the excess energy is left idle for a long time, it will cause energy waste.

[0163] Therefore, the control strategy can be to reduce the output power of the photovoltaic inverter to the required power, so that the output power of the photovoltaic inverter matches the required power of the charging pile, avoid the generation of excess power, and at the same time maintain the load balance of the photovoltaic, energy storage and charging equipment to ensure stable operation of the equipment.

[0164] Optionally, if the output power is less than or equal to the required power and the state of charge is greater than or equal to a preset lower limit of the charge threshold, the discharge rate of the energy storage battery is increased to the preset discharge rate.

[0165] In this embodiment, the principle of setting the preset lower charge threshold is to avoid over-discharge of the energy storage battery and prevent battery damage.

[0166] If the output power is less than or equal to the required power, and the state of charge is greater than or equal to the preset lower limit of the charge threshold, it indicates that there is a power supply gap between photovoltaic and energy storage charging, and that the energy storage battery has sufficient discharge capacity.

[0167] Therefore, the control strategy can be to increase the discharge rate of the energy storage battery to a preset discharge rate, for example, a preset proportion of the rated discharge rate of the energy storage battery. By discharging the energy storage battery to supplement the power supply gap, the power supply demand of the charging pile is met and the load balance is maintained.

[0168] Optionally, if the output power is less than or equal to the required power and the state of charge is less than a preset lower limit of the state of charge threshold, the power supply of the charging pile is reduced to the output power of the photovoltaic inverter.

[0169] If the output power is less than or equal to the required power and the state of charge is less than the preset lower limit of the charge threshold, it means that the energy storage battery is close to being depleted and cannot continue to discharge to make up for the power supply gap. If it is forcibly discharged, the energy storage battery will be damaged.

[0170] Therefore, the control strategy can be to reduce the power supply of the charging pile to the output power of the photovoltaic inverter, so that the power demand of the charging pile matches the output power of the photovoltaic inverter, avoid over-discharge of the energy storage battery, and ensure that the photovoltaic-energy storage-charging equipment can operate stably. After the output power of the photovoltaic inverter is increased or the energy storage battery is charged, the normal power supply of the charging pile can be restored.

[0171] This application also provides a power regulation strategy based on a multi-objective optimization algorithm. This strategy, by introducing a multi-objective optimization algorithm, simultaneously adjusts the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply power of the charging pile to balance energy efficiency, equipment lifespan, and grid stability.

[0172] Optionally, the controller comprehensively analyzes the power load data of each device, accurately extracting data such as the real-time output power of the photovoltaic inverter, the state of charge of the energy storage battery, and the power demand of the charging pile. Then, based on the operational requirements of the photovoltaic-energy storage-charging equipment, multiple optimization objectives are constructed, namely:

[0173] Maximize the match between the output power of the photovoltaic inverter and the power demand of the charging pile to reduce energy waste at its source. Strictly control the charging and discharging rate of the energy storage battery to ensure it operates within a safe range and extend the equipment's lifespan. Dynamically adjust the power output to avoid grid overload and maintain grid stability.

[0174] The controller invokes a pre-trained multi-objective optimization algorithm model. This model has been trained based on historical load data, equipment operating parameters, and optimization objectives under various operating conditions of the photovoltaic, energy storage, and charging equipment, enabling it to accurately balance the correlation and constraints among the three optimization objectives. The model combines real-time collected load data for global calculation and analysis, generating a globally optimal power regulation scheme that takes all optimization objectives into account. This scheme clarifies the output power adjustment value of the photovoltaic inverter, the charge / discharge rate range of the energy storage battery, and the power supply standard of the charging pile. The scheme is then distributed to each device, which synchronously executes adjustment operations, achieving coordinated power control of the three components and realizing multiple benefits: efficient energy utilization, stable equipment operation, and stable grid output.

[0175] In the above embodiments of this application, the power supply load data of each device is analyzed to accurately extract parameters such as the output power of the photovoltaic inverter, the state of charge and charge / discharge rate of the energy storage battery, and the power demand of the charging pile. This provides comprehensive and accurate data support for subsequent regulation, avoiding regulation errors caused by missing data or analysis deviations. The net load deviation is calculated based on the output power of the photovoltaic inverter and the power demand of the charging pile to clarify the current load balance state and accurately determine whether coordinated regulation needs to be initiated, avoiding equipment damage and energy waste caused by over-regulation. By setting a preset net load deviation threshold, coordinated regulation is only carried out when the deviation exceeds the threshold, combining output power, power demand, and the state of charge of the energy storage battery, thereby ensuring the necessity and targeting of the regulation operation. The method of this embodiment, through accurate data analysis, scientific judgment of load deviation, and on-demand regulation, achieves dynamic coordination of the operating states of the photovoltaic inverter, energy storage battery, and charging pile. This ensures that the total load of the photovoltaic-energy storage-charging equipment is maintained within a preset reasonable range while taking into account the operating characteristics of each device, thereby improving the accuracy of load regulation and the effectiveness of coordinated control, ensuring the stable and efficient operation of the photovoltaic-energy storage-charging equipment.

[0176] This application also provides a load coordination control device for use in photovoltaic-energy storage-charging equipment, which integrates a photovoltaic inverter, an energy storage battery, and a charging pile. Please see below. Figure 7 , Figure 7 This is a schematic diagram of a load coordination control device provided in an embodiment of this application. The device may include:

[0177] The acquisition module 701 is used to acquire the input voltage signal of the optical storage and charging equipment.

[0178] The determination module 702 is used to determine the voltage level type of the input voltage signal based on the input voltage signal.

[0179] The determination module 702 is used to determine the communication protocol that is compatible with the photovoltaic inverter, energy storage battery and charging pile respectively based on the voltage level type and through the pre-configured mapping relationship between the voltage level type and the communication protocol.

[0180] The acquisition module 701 is also used to acquire power load data of the photovoltaic inverter, energy storage battery and charging pile respectively based on their respective adapted communication protocols.

[0181] The control module 703 is used to coordinate the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply of the charging pile according to their respective power supply load data.

[0182] In one possible implementation, module 702 is specifically used for:

[0183] The input voltage signal is subjected to multi-stage noise reduction processing to obtain the processed first target voltage signal, and the fluctuation characteristics of the target voltage signal are recorded.

[0184] Obtain the correlation between the pre-configured voltage signal amplitude range and voltage level type.

[0185] Based on the fluctuation characteristics and correlations, the target voltage signal is identified, and the voltage level type of the input voltage signal is determined.

[0186] In one possible implementation, module 702 is specifically used for:

[0187] Based on the fluctuation characteristics, the voltage signal amplitude range in the correlation is calibrated to obtain the calibrated target correlation.

[0188] The target voltage signal is searched within the target correlation relationship to determine the target voltage signal amplitude range where the first target voltage signal is located.

[0189] The voltage level type corresponding to the amplitude range of the target voltage signal is determined as the voltage level type of the input voltage signal.

[0190] In one possible implementation, module 702 is specifically used for:

[0191] The input voltage signal is subjected to noise reduction and feature extraction to obtain the processed second target voltage signal.

[0192] The second target voltage signal is input into a pre-trained convolutional neural network model, which outputs the voltage level type corresponding to the input voltage signal.

[0193] The convolutional neural network model was trained based on historical voltage data and corresponding voltage level data under multiple operating conditions of the photovoltaic energy storage and charging equipment.

[0194] In one possible implementation, module 702 is specifically used for:

[0195] It invokes the pre-configured mapping relationship between voltage level type and communication protocol, and stores the mapping relationship according to the equipment type of photovoltaic inverter, energy storage battery and charging pile.

[0196] The historical communication records of photovoltaic inverters, energy storage batteries, and charging piles are obtained from the blockchain distributed ledger. The historical communication records include the communication protocols used to successfully establish communication under different voltage levels and the corresponding communication quality scores.

[0197] Based on voltage level type, a set of candidate communication protocols that match each type are selected from the mapping relationship.

[0198] Based on their respective sets of matching candidate communication protocols and their respective historical communication records, the appropriate communication protocol is determined.

[0199] In one possible implementation, module 702 is specifically used for:

[0200] Invoke the preset communication protocol screening and evaluation rules of the blockchain deployment.

[0201] According to the preset communication protocol screening and evaluation rules, the candidate communication protocols that match each other are compared with the communication protocols used in the corresponding historical communication records to determine the common communication protocols.

[0202] The communication protocol with the highest score among their respective common communication protocols is determined as the communication protocol adapted to each photovoltaic inverter, energy storage battery, and charging pile.

[0203] In one possible implementation, the control module 703 is specifically used for:

[0204] By analyzing the power supply load data of the photovoltaic inverter, energy storage battery, and charging pile, the output power of the photovoltaic inverter, the state of charge and charge / discharge rate of the energy storage battery, and the power demand of the charging pile can be obtained.

[0205] Determine the net load deviation based on the output power and the required power.

[0206] If the net load deviation exceeds the preset net load deviation threshold, the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply of the charging pile will be controlled in a coordinated manner based on the output power, the demand power, and the state of charge.

[0207] In one possible implementation, the control module 703 is specifically used for:

[0208] If the output power is greater than the required power and the state of charge is less than or equal to the preset upper limit of the charge threshold, then the charging rate of the energy storage battery is increased to the preset charging rate.

[0209] If the output power is greater than the required power and the state of charge is greater than the preset upper limit of the charge threshold, then the output power of the photovoltaic inverter will be reduced to the required power.

[0210] If the output power is less than or equal to the required power, and the state of charge is greater than or equal to the preset lower limit of the charge threshold, then the discharge rate of the energy storage battery is increased to the preset discharge rate.

[0211] If the output power is less than or equal to the required power and the state of charge is less than the preset lower limit of the state of charge threshold, then the power supply of the charging pile will be reduced to the output power of the photovoltaic inverter.

[0212] The load coordination control device provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0213] Figure 8 This is a schematic diagram of the structure of a photovoltaic energy storage and charging device provided in an embodiment of this application. Figure 8 As shown, the photovoltaic-storage-charging device provided in this embodiment includes: a photovoltaic inverter, an energy storage battery, a charging pile, a memory, and a controller.

[0214] Optionally, the photovoltaic-energy storage-charging device also includes a communication component. The photovoltaic inverter, energy storage battery, charging pile, memory, controller, and communication component are connected via a bus.

[0215] In the specific implementation process, at least one controller executes computer execution instructions stored in the memory, causing at least one controller to perform the above-described method.

[0216] The specific implementation process of the controller can be found in the above method embodiments, and its implementation principle and technical effect are similar, so it will not be repeated here.

[0217] In the above embodiments, it should be understood that the controller can also be a processor, which can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0218] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0219] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0220] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0221] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0222] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory, electrically erasable programmable read-only memory, erasable programmable read-only memory, programmable read-only memory, read-only memory, magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0223] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an application-specific integrated circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0224] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0225] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0226] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0227] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0228] The technical solutions of this application have been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it is readily understood by those skilled in the art that the scope of protection of this application is obviously not limited to these specific embodiments. The above embodiments are only used to illustrate the technical solutions of this application and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A load coordination control method, characterized in that, The method, applied to photovoltaic-energy storage-charging equipment integrating a photovoltaic inverter, energy storage battery, and charging pile, includes: Acquire the input voltage signal of the optical storage and charging device; Based on the input voltage signal, determine the voltage level type of the input voltage signal; Based on the voltage level type, the communication protocol adapted to each of the photovoltaic inverter, the energy storage battery, and the charging pile is determined by the pre-configured mapping relationship between the voltage level type and the communication protocol. Based on their respective adapted communication protocols, the power supply load data of the photovoltaic inverter, the energy storage battery, and the charging pile are collected. Based on their respective power supply load data, the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply of the charging pile are controlled in a coordinated manner.

2. The method according to claim 1, characterized in that, Determining the voltage level type of the input voltage signal based on the input voltage signal includes: The input voltage signal is subjected to multi-stage noise reduction processing to obtain the processed first target voltage signal, and the fluctuation characteristics of the target voltage signal are recorded. Obtain the pre-configured correlation between voltage signal amplitude range and voltage level type; Based on the fluctuation characteristics and the correlation, the target voltage signal is identified, and the voltage level type of the input voltage signal is determined.

3. The method according to claim 2, characterized in that, The step of identifying the target voltage signal and determining the voltage level type of the input voltage signal based on the fluctuation characteristics and the correlation includes: Based on the fluctuation characteristics, the voltage signal amplitude range in the correlation is calibrated to obtain the calibrated target correlation. The target voltage signal is searched within the target correlation to determine the target voltage signal amplitude range in which the first target voltage signal is located. The voltage level type corresponding to the amplitude range of the target voltage signal is determined as the voltage level type of the input voltage signal.

4. The method according to claim 1, characterized in that, Determining the voltage level type of the input voltage signal based on the input voltage signal includes: The input voltage signal is subjected to noise reduction and feature extraction to obtain the processed second target voltage signal; The second target voltage signal is input into a pre-trained convolutional neural network model, which outputs the voltage level type corresponding to the input voltage signal. The convolutional neural network model is trained based on historical voltage data and corresponding voltage level type data under multiple operating conditions of the photovoltaic energy storage and charging equipment.

5. The method according to any one of claims 1-4, characterized in that, The step of determining the communication protocol compatible with each of the photovoltaic inverter, the energy storage battery, and the charging pile based on the voltage level type and through a pre-configured mapping relationship between the voltage level type and the communication protocol includes: The system invokes a pre-configured mapping relationship between voltage level types and communication protocols, where the mapping relationship is categorized and stored according to the device type of the photovoltaic inverter, the energy storage battery, and the charging pile. The historical communication records of the photovoltaic inverter, the energy storage battery and the charging pile are obtained from the blockchain distributed ledger. The historical communication records include the communication protocols used to successfully establish communication under different voltage levels and the corresponding communication quality scores. Based on the voltage level type, a set of candidate communication protocols that match each type are selected from the mapping relationship; Based on their respective sets of matching candidate communication protocols and their respective historical communication records, the appropriate communication protocol is determined.

6. The method according to claim 5, characterized in that, The step of determining the appropriate communication protocol for each based on the respective matching candidate communication protocol set and their respective historical communication records includes: Invoke the preset communication protocol screening and evaluation rules deployed on the blockchain; According to the preset communication protocol screening and evaluation rules, the candidate communication protocol sets that match each other are compared with the communication protocols used in the corresponding historical communication records to determine the common communication protocols. The communication protocol with the highest score among the corresponding common communication protocols is determined as the communication protocol adapted to each of the photovoltaic inverter, energy storage battery and charging pile.

7. The method according to claim 1, characterized in that, The step of coordinating the control of the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply of the charging pile based on their respective power load data includes: By analyzing the power supply load data of the photovoltaic inverter, the energy storage battery, and the charging pile, the output power of the photovoltaic inverter, the state of charge and charge / discharge rate of the energy storage battery, and the power demand of the charging pile can be obtained. Determine the net load deviation based on the output power and the required power; If the net load deviation is greater than the preset net load deviation threshold, then the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply of the charging pile are controlled in a coordinated manner based on the output power, the demand power, and the state of charge.

8. The method according to claim 7, characterized in that, The coordinated control of the output power of the photovoltaic inverter, the charge / discharge rate of the energy storage battery, and the power supply of the charging pile based on the output power, the demand power, and the state of charge includes: If the output power is greater than the required power and the state of charge is less than or equal to a preset upper limit of the charge threshold, then the charging rate of the energy storage battery is increased to the preset charging rate. If the output power is greater than the required power and the state of charge is greater than the preset upper limit of the charge threshold, then reduce the output power of the photovoltaic inverter to the required power. If the output power is less than or equal to the required power, and the state of charge is greater than or equal to a preset lower limit of the charge threshold, then the discharge rate of the energy storage battery is increased to a preset discharge rate. If the output power is less than or equal to the required power, and the state of charge is less than the preset lower limit of the charge threshold, then the power supply of the charging pile is reduced to the output power of the photovoltaic inverter.

9. A load coordination control device, characterized in that, An application in photovoltaic-energy storage-charging equipment, the equipment integrating a photovoltaic inverter, an energy storage battery, and a charging pile, the device comprising: The acquisition module is used to acquire the input voltage signal of the optical storage and charging device; The determining module is used to determine the voltage level type of the input voltage signal based on the input voltage signal; The determining module is used to determine the communication protocol adapted to each of the photovoltaic inverter, the energy storage battery, and the charging pile based on the voltage level type and through a pre-configured mapping relationship between the voltage level type and the communication protocol. The acquisition module is also used to acquire power load data of the photovoltaic inverter, the energy storage battery and the charging pile respectively based on the respective adapted communication protocols; The control module is used to coordinately control the output power of the photovoltaic inverter, the charging and discharging rate of the energy storage battery, and the power supply of the charging pile based on their respective power supply load data.

10. A photovoltaic energy storage and charging device, characterized in that, The photovoltaic-storage-charging equipment includes: a photovoltaic inverter, an energy storage battery, a charging pile, a memory, and a processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1-8.

11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-8.

12. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method according to any one of claims 1-8.

Images