Distributed energy system control method based on edge control device and related product

Abstract

The invention provides a distributed energy system control method based on an edge control device and a related product. The distributed energy system control method based on the edge control device comprises the following steps: acquiring multiple types of to-be-processed energy data uploaded in different uploading periods; a preset data processing strategy configuration file is obtained, the data processing strategy configuration file is used for specifying processing strategies corresponding to data of different uploading periods, and the processing strategies comprise processing flows and clearing conditions; corresponding processing flows are executed on the multiple types of to-be-processed energy data, and processed data are obtained; and clearing the processed data according to the corresponding clearing condition. According to the scheme, the processing requirements of different types of to-be-processed energy data are met, and the requirements of a data user are met; and targeted data clearing can be realized, so that the storage space of the data is saved.

Description

Technical Field

[0001] The present invention relates to a distributed energy system, and in particular to a distributed energy system control method based on an edge control device and related products. Background Art

[0002] Distributed Energy Systems (DES) are an important part of modern power systems and play an important role in achieving energy transformation, improving energy efficiency and enhancing grid resilience. With the development of information and communication technology, the role of distributed energy systems in the energy system is increasing.

[0003] Distributed energy systems include small-scale power generation, energy storage, and controllable load equipment distributed in the power system. Most of these energy devices are small and medium-sized devices, and there are many of them. In addition to the supply and consumption of energy, they also generate massive amounts of data. These data are an indispensable basis for the control and analysis of distributed energy systems. How to use these massive amounts of data to achieve accurate and efficient control has become a difficult problem that needs to be solved urgently in distributed energy systems.

[0004] Distributed energy systems require coordinated control of devices deployed in different areas. Existing control methods generally use cloud servers or other network service devices to directly issue control instructions to devices, which obviously places extremely high demands on data transmission capabilities and data processing capabilities of network service devices. In addition, some home energy systems only rely on their own controllers to control energy devices in the home. However, this local control method does not achieve coordinated control of different home energy systems, but can only achieve its own regulation goals. It cannot achieve overall control of distributed energy systems of a certain scale, and its control effect cannot guarantee the efficient operation of the overall system. Summary of the invention

[0005] One object of the present invention is to reduce the requirements of the distributed energy system control method on the computing power and data transmission capacity of the network service equipment.

[0006] A further object of the present invention is to improve the overall efficient operation of the distributed energy system and reduce the integration cost.

[0007] Another further object of the present invention is to improve the user experience of energy system users and meet their needs.

[0008] In particular, the present invention provides a distributed energy system control method based on an edge control device, which comprises:

[0009] Acquiring control reference data collected by a data collection device of a distributed energy system, wherein the data collection device is in communication connection with an energy device that generates the control reference data;

[0010] Obtain the operating status of the energy storage converter within the control range;

[0011] Generate adjustment instructions for the energy storage converter according to the control reference data and the operating status;

[0012] Send adjustment instructions to the energy storage converter for execution by the energy storage converter.

[0013] Optionally, the step of generating an adjustment instruction for the energy storage converter according to the control reference data and the operating status includes:

[0014] Receive control strategies issued by the cloud control platform of the distributed energy system;

[0015] Determine the corresponding control process and / or control parameters according to the control strategy;

[0016] Generate adjustment instructions using control reference information according to control procedures and / or control parameters.

[0017] Optionally, the data acquisition device is also connected to the cloud control platform in communication, and is configured to upload energy data to the cloud control platform according to a set data transmission method, and the control reference data is part of the energy data;

[0018] The control strategy is formulated by the cloud control platform based on energy data and mode selection instructions. The mode selection instructions are generated by the management terminal of the distributed energy system based on the operations of the management user.

[0019] Optionally, the step of acquiring the control reference data collected by the data collection device of the distributed energy system includes:

[0020] accessing the data acquisition device according to a predetermined polling period;

[0021] The data collection device receives feedback data in response to the access, wherein the feedback data at least includes control reference data.

[0022] Optionally, after the step of accessing the data acquisition device according to a predetermined polling cycle, the method further includes:

[0023] If no feedback data from the data acquisition device is received for a first set number of consecutive polling cycles, a prompt message indicating an abnormality of the data acquisition device is sent to the cloud control platform so that the cloud control platform can handle the abnormality of the data acquisition device.

[0024] Optionally, after the step of accessing the data acquisition device according to a predetermined polling cycle, the method further includes:

[0025] If the feedback data from the data acquisition device is not received for the second set number of consecutive polling cycles, a control request is sent to the cloud control platform;

[0026] Obtain the direct control instruction of the cloud control platform in response to the controlled request, and forward the direct control instruction to the energy storage converter so that the energy storage converter can adjust the operating state according to the direct control instruction.

[0027] Optionally, before the step of receiving the control strategy sent by the cloud control platform of the distributed energy system, the method further includes:

[0028] Obtain the configuration data sent by the cloud control platform, which includes configuration parameters and firmware data;

[0029] The configuration information of the edge control device is updated using the configuration parameters, and the firmware of the edge control device is updated using the firmware data.

[0030] Optionally, after the step of sending the adjustment instruction to the energy storage converter, the step further includes:

[0031] Obtaining the execution result of the energy storage converter executing the adjustment instruction;

[0032] Feedback the execution results to the management terminal and cloud control platform of the distributed energy system.

[0033] Another aspect of the present invention also provides an edge control device for a distributed energy system, which includes a memory, a processor and a computer program stored in the memory, and the processor executes the computer program to implement any step of the above-mentioned distributed energy system control method based on the edge control device.

[0034] Another aspect of the present invention further provides a distributed energy system, comprising:

[0035] The edge control device of the above distributed energy system;

[0036] Energy equipment configured to convert or consume electric energy and generate energy data during the conversion or consumption of electric energy;

[0037] The data acquisition device is respectively connected to the edge control device and the energy device for communication, and is used to collect energy data generated by the energy device and send the control reference data in the energy data to the edge control device.

[0038] Optionally, the above distributed energy system further includes:

[0039] The cloud control platform is connected to the edge control device and the data acquisition device respectively, and is configured to receive data uploaded by the data acquisition device and send a control strategy to the edge control device;

[0040] The management terminal is connected to the cloud control platform for communication, and is configured to generate a mode selection instruction according to the operation of the management user and provide it to the cloud control platform.

[0041] Another aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements any of the steps of the above-mentioned distributed energy system control method based on an edge control device when the computer program is executed by a processor.

[0042] In the distributed energy system control method based on the edge control device of the present invention, the edge control device obtains the control reference data collected by the data acquisition device, and generates adjustment instructions for the energy storage converter according to the control reference data and the operating status. The control capability of the edge control device is utilized to reduce the data processing capability required for direct control by the cloud control platform, thereby improving equipment efficiency and reducing integration costs.

[0043] Furthermore, in the distributed energy system control method based on the edge control device of the present invention, the edge control device also receives the control strategy issued by the cloud control platform of the distributed energy system; determines the corresponding control process and / or control parameters according to the control strategy; and generates adjustment instructions according to the control process and / or control parameters using the control reference information. The control strategy issued by the cloud control platform can coordinate the control of multiple edge control devices, fully maximizing the overall efficiency of the system.

[0044] Furthermore, in the distributed energy system control method based on the edge control device of the present invention, the data acquisition device provides the edge control device with control reference data on the one hand, and uploads energy data to the cloud control platform on the other hand, thereby meeting the data needs and real-time requirements of the edge control device and the cloud control platform and improving data processing efficiency.

[0045] Furthermore, in the distributed energy system control method based on the edge control device of the present invention, the way in which the data acquisition device provides data to the edge control device and the way in which the data is uploaded to the cloud control platform are improved specifically according to the characteristics of the edge control device and the cloud control platform, thereby improving the data transmission efficiency.

[0046] Based on the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will become more aware of the above and other objects, advantages and features of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Hereinafter, some specific embodiments of the present invention will be described in detail in an exemplary and non-limiting manner with reference to the accompanying drawings. The same reference numerals in the accompanying drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the accompanying drawings:

[0048] Figure 1 is a schematic diagram of the architecture of a distributed energy system according to an embodiment of the present invention;

[0049] Figure 2 yes Figure 1 The functional block diagram of the distributed energy system shown;

[0050] Figure 3 is a schematic diagram of a distributed energy system control method based on an edge control device according to an embodiment of the present invention;

[0051] Figure 4 is a schematic diagram of generating an adjustment instruction in a distributed energy system control method based on an edge control device according to an embodiment of the present invention;

[0052] Figure 5 is a schematic diagram of a computer program product according to an embodiment of the present invention;

[0053] Figure 6 is a schematic diagram of a computer-readable storage medium according to an embodiment of the present invention;

[0054] Figure 7 is a schematic diagram of an edge control device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0055] Figure 1 2 is a schematic diagram of the architecture of a distributed energy system according to an embodiment of the present invention. The distributed energy system generally may include: energy equipment, an edge control device 21, a data acquisition device 23, a cloud control platform 24, a network transmission device 22, and a management terminal 25.

[0056] Energy equipment may include: photovoltaic power generation equipment 11, wind power generation equipment 12, external power grid 13, energy storage equipment 14, electric vehicle charging pile 15, power equipment 16, power storage converter (Power Conversion System, PCS for short) 17, etc. Photovoltaic power generation equipment 11 and wind power generation equipment 12 use wind energy and solar energy to convert into electrical energy respectively, for example, they may include solar panels laid on the roof, small wind turbines, etc. The external power grid 13 may provide equipment for the power supply of the public power grid system. The energy storage equipment 14 may use battery energy storage, mechanical energy storage, and thermal energy storage to help balance the supply and demand of electricity, improve the stability of the power grid, smooth the intermittent output of renewable energy, provide backup power, and achieve efficient use of energy. The electric vehicle charging pile 15 is a key infrastructure for charging electric vehicles (EVs), which can be used to realize the charging and discharging of electric vehicles and adjust the charging and discharging power. The power equipment 16 includes devices that use electrical energy, such as household appliances and small industrial power equipment, for example, they may include: heat pump systems, lighting systems, etc. The energy storage converter 17 is used to convert the form of electrical energy, such as converting AC to DC. In some embodiments, the energy storage converter 17 may include an inverter, a charging and discharging component, etc., to realize the exchange of various electrical energies between the photovoltaic power generation equipment 11, the wind power generation equipment 12, the external power grid 13, the energy storage equipment 14, the electric vehicle charging pile 15, and the electrical equipment 16.

[0057] The edge control device 21 is connected to energy devices such as the energy storage converter 17, and is used to control the energy devices and adjust the switch state or other operating state of the energy devices. The edge control device 21 can be arranged on the local side adjacent to the energy device to control the energy storage converter within the control range. For example, in a household distributed energy system, the edge control device 21 can be a control device set indoors, and is set corresponding to the energy storage converter 17 set in the household.

[0058] The data acquisition device 23 is connected to the energy equipment data and is used to collect various energy data generated by the energy equipment during operation. In some embodiments, the data acquisition device 23 may include various collectors, data servers, data acquisition clients, etc., and the energy data collected may include: power data, switch action data, electricity data, electricity price data, monitoring alarm data, sensor data, monitoring data, and operating status data. The above energy data can be divided into two categories: one is the control reference data participating in the equipment state adjustment, and the other is conventional data. The control reference data can provide the operating parameters, marginal costs, measurements and prediction results of distributed energy, and realize the investment portfolio of distributed energy and the function of virtual power plant according to market information such as electricity price prediction results. The state adjustment of the energy storage converter 17 can be realized by using the control reference data, and the power dispatch can be realized to improve the overall efficiency of the distributed energy system. Conventional data can be used for secondary development, data law analysis, data model training, historical record storage, etc. The conventional data has a large amount of data, but the real-time requirements are relatively small. The data acquisition device 23 can perform preliminary classification and analysis on the collected data. On the one hand, it can directly provide the control reference data to the corresponding edge control device 21; on the other hand, it can provide energy data to the cloud control platform 24.

[0059] The cloud control platform 24 is connected to each data acquisition device 23, and processes various energy data collected by the data acquisition device 23, such as analysis, storage, statistics, etc. By processing the energy data, the overall energy system is regulated and corresponding control strategies are formulated.

[0060] The network transmission device 22 can be a network router, a communication relay device, an Internet of Things transmission device, etc., which provides a data transmission channel to the data acquisition device 23, the cloud control platform 24, and the edge control device 21. It can adopt various data transmission methods that meet the requirements of the above-mentioned equipment, such as various invalid transmission methods or priority transmission methods.

[0061] The management terminal 25 may be a terminal device used by a user with management authority, such as a smart phone, tablet computer, computer, or other dedicated electronic client device installed with power management application software.

[0062] Figure 2 yes Figure 1 The principle block diagram of the distributed energy system shown. In the distributed energy system of this embodiment, the edge control device 21 issues adjustment instructions to the energy storage converter 17 within the control range according to the control reference data provided by the data acquisition device 23. The energy device 10 is configured to convert or consume electric energy and generate energy data during the conversion or consumption of electric energy.

[0063] The data acquisition device 23 is connected to the edge control device 21 and the energy device 10 for communication, and is used to collect energy data generated by the energy device 10, and send the control reference data in the energy data to the edge control device 21 as a control basis for the edge control device 21 to perform edge control. In some embodiments, the data acquisition device 23 and the edge control device 21 can be connected to each other through a network transmission device.

[0064] The cloud control platform 24 is connected to the edge control device 21 and the data acquisition device 23 respectively, and is configured to receive the energy data uploaded by the data acquisition device 23, and to send the control strategy to the edge control device 21. The management terminal 25 is connected to the cloud control platform 24, and is configured to generate a mode selection instruction according to the operation of the management user and provide it to the cloud control platform 24.

[0065] This embodiment also provides a distributed energy system control method based on an edge control device, which can be executed by the edge control device 21, and generates adjustment instructions for the energy storage converter 17 according to the control reference data and the operating status. By utilizing the control capability of the edge control device 21, the data processing capability required for direct control by the cloud control platform 24 is reduced, thereby improving equipment efficiency and reducing integration costs. Figure 3 is a schematic diagram of a distributed energy system control method based on an edge control device according to an embodiment of the present invention. The distributed energy system control method may generally include:

[0066] Step S301, obtaining control reference data collected by a data collection device of a distributed energy system, the data collection device is in communication connection with an energy device that generates the control reference data, and the control reference data may be a part of energy data obtained by the data collection device from the energy device.

[0067] Step S302, obtain the operating status of the energy storage inverter within the control range; the operating status of the energy storage inverter reflects the startup status and power generation power of photovoltaic power generation equipment, wind power generation equipment and other power generation equipment, the charging and discharging status and charging and discharging power of the energy storage equipment, the amount of electric energy provided by the external power grid 13 to the distributed energy system or the amount of electric energy supplied back to the external power grid 13 by the distributed energy system.

[0068] Step S303: Generate an adjustment instruction for the energy storage converter according to the control reference data and the operating status.

[0069] Step S304: sending an adjustment instruction to the energy storage converter for execution by the energy storage converter.

[0070] In this method, the edge control device obtains the control reference data collected by the data acquisition device, and generates adjustment instructions for the energy storage converter according to the control reference data and the operating status. The control capability of the edge control device is utilized to reduce the data processing capability required for direct control by the cloud control platform, thereby improving equipment efficiency and reducing integration costs.

[0071] After the step of sending the adjustment instruction to the energy storage inverter, the edge control device may also include: obtaining the execution result of the energy storage inverter executing the adjustment instruction; and feeding back the execution result to the management terminal and cloud control platform of the distributed energy system.

[0072] In some embodiments, the edge control device may not be configured with a human-machine interaction interface such as a screen, and the management terminal of the distributed energy system and the cloud control platform may be used to realize user interaction. This can reduce the hardware cost of the edge control device on the one hand, and improve the security of data on the other hand.

[0073] Figure 4 1 is a schematic diagram of generating adjustment instructions in a distributed energy system control method based on an edge control device according to an embodiment of the present invention. The step of generating adjustment instructions for the energy storage converter according to the control reference data and the operating status may include:

[0074] Step S401, receiving the control strategy issued by the cloud control platform of the distributed energy system. The control strategy is formulated by the cloud control platform according to the energy data and the mode selection instruction, and the mode selection instruction is generated by the management terminal of the distributed energy system according to the operation of the management user. The energy data is uploaded to the cloud control platform by the data acquisition device according to the set data transmission method.

[0075] Step S402: determining corresponding control procedures and / or control parameters according to the control strategy.

[0076] Step S403: Generate an adjustment instruction using the control reference information according to the control process and / or control parameters.

[0077] The control reference data can be obtained by the edge control device through polling. In some embodiments, the step of the edge control device obtaining the control reference data may include: accessing the data acquisition device according to a predetermined polling cycle; receiving feedback data from the data acquisition device in response to the access, and the feedback data at least includes the control reference data. The above-mentioned polling cycle can be configured according to the real-time requirements of the control, for example, configured to be less than 10 seconds, for example, set to 1 second, 3 seconds, 5 seconds, 10 seconds, so as to achieve uploading in seconds.

[0078] In order to improve the reliability of control, if the data is not successfully obtained after the step of accessing the data acquisition device according to the predetermined polling cycle, the method of this embodiment can also automatically process it to avoid control errors. If the feedback data of the data acquisition device is not received for the first set number of consecutive polling cycles, a prompt message of the abnormality of the data acquisition device is sent to the cloud control platform for the cloud control platform to perform abnormal processing on the data acquisition device. The first set number of polling cycles is used to avoid false alarms of abnormal information, which can be set according to the communication environment and control requirements of the data acquisition device, for example, taking a value between 3 and 5 times. That is, if the feedback data of the data acquisition device is not received for 3, 4 or 5 consecutive times, the cloud control platform will perform abnormal processing on the data acquisition device. Various abnormal processing methods are mainly based on the fact that the communication method between the edge control device and the data acquisition device and the communication method between the cloud control platform and the data acquisition device may be different, and the remote data processing capability of the cloud control platform is used to realize the remote abnormal processing of the data acquisition device.

[0079] If the feedback data from the data acquisition device is not received for the second set number of consecutive polling cycles, a controlled request is sent to the cloud control platform; the direct control instruction of the cloud control platform in response to the controlled request is obtained, and the direct control instruction is forwarded to the energy storage inverter, so that the energy storage inverter can adjust the operating state according to the direct control instruction. The second set number can be set to be greater than the first set number, for example, it can be between 10 and 20 times. That is, if the edge control device is unable to achieve local control of the energy storage inverter for a period of time, the cloud control platform will take over the control and send direct control instructions to the edge control device to achieve remote control of the motion control platform.

[0080] The edge control device realizes local control of the energy storage converter according to the control reference data and operating status, with better real-time performance and more timely control, reducing the data processing pressure of the cloud control platform. At the same time, the edge control device relies on the control strategy provided by the cloud control platform during the control process, taking into account the coordinated control of the entire energy system by the cloud control platform. The coordinated control of multiple edge control devices is realized, which fully maximizes the overall efficiency of the system.

[0081] The direct control instructions issued by the cloud control platform can be generated based on the analysis of energy data, and it can use massive amounts of energy data to perform big data analysis to obtain direct control instructions. In some embodiments, the cloud control platform can establish an energy equipment control model, use the energy data uploaded by the data acquisition device as sample data for training, and when it is necessary to issue direct control instructions, use the current energy data as the input of the energy equipment control model, and use artificial intelligence technology to generate direct control instructions. Therefore, when the cloud control platform performs direct control of the energy storage and flow conversion device, it does not need to rely on real-time data, but instead uses data change trends for control, which can reduce the requirements for data transmission capabilities.

[0082] Before the step of the edge control device receiving the control strategy issued by the cloud control platform of the distributed energy system, it may also include: obtaining the configuration data issued by the cloud control platform, the configuration data including configuration parameters and firmware data; using the configuration parameters to update the configuration information of the edge control device, and using the firmware data to update the firmware of the edge control device. The above configuration information may include: information such as the type, type, specification, and controlled method of the energy equipment within its control range. The firmware of the edge control device is responsible for controlling and coordinating the functions of the hardware so that it can operate as expected. Firmware upgrades help improve the performance of edge control devices, add new functions, fix known problems, improve security, and be compatible with updated software and hardware devices.

[0083] The data acquisition device is configured differently to provide energy data to the cloud control platform and to provide control reference data to the edge control device. The former can upload data according to a fixed data cycle to meet the reliability requirements of big data upload, and the latter can feedback data based on the polling request of the edge control device to meet the time requirements of real-time data.

[0084] In some embodiments, the edge control device accesses the data acquisition device according to a predetermined polling cycle (for example, 5s), and then obtains the control reference data. After the data acquisition device acquires these control reference data, they can be pre-stored in a preset polling storage area for timely feedback to the edge control device. The data acquisition device uploads all collected energy data to the cloud control platform in a more reliable manner such as breakpoint continuation. Breakpoint transmission can be implemented by relying on the following mechanisms: data integrity check, breakpoint record, retransmission mechanism, and block transmission. The data integrity check is used to confirm whether the transmitted data is complete; the breakpoint record is used to record the starting point and end point of the data transmission; the retransmission mechanism can try to resend the erroneous part if an error is encountered during the transmission process; block transmission ensures that each data block is transmitted independently, and even if some blocks fail to be transmitted, the integrity of other blocks will not be affected.

[0085] The data acquisition device extracts the control reference data from the energy data, establishes an independent polling storage area, and is dedicated to responding to the polling access of the data acquisition device, thereby improving data processing efficiency. The control reference data in the above-mentioned polling storage area can be cleared in a timely manner. For example, after receiving a new polling access request from the edge control device, the data acquisition device can provide the data responding to this polling access request to the edge control device, and then clear the data of the previous polling access request. This processing method saves data storage space on the one hand, and on the other hand, it can also avoid the leakage of data related to power scheduling, thereby improving data security.

[0086] The cloud control platform can perform comprehensive processing on energy data. In some embodiments, the cloud control platform can integrate and process energy data to generate a materialized energy data view to ensure data security in the subsequent data requester distribution process. The above integration process may include: filtering out abnormal data according to preset data filtering rules to obtain qualified data; standardizing qualified data according to a preset data format; adding descriptive information and statistical information to the standardized data to obtain integrated energy data.

[0087] The process of generating a materialized energy data view may include: generating a data view according to a preset view definition; materializing the data view to obtain a materialized energy data view. The preset view definition is set according to the data requirements of the data requester. The data view can customize the data representation for the data requester, which can represent a data query result. By selecting, combining and converting the data, it is convenient for the subsequent provision of the data, hides the actual storage structure of the data, and can provide the required data in a targeted manner.

[0088] The step of materializing the data view may include: encrypting the data view and configuring access rights; synchronizing the encrypted data view on the distributed storage nodes, thereby storing the materialized energy data view on the distributed storage nodes.

[0089] Materialized views are predefined data views that are stored or "materialized" in advance as schema objects for summarizing, calculating, replicating, and distributing data. Materialized views reduce query time by pre-calculating join and aggregation operations and storing the results in a single data set. Materialized views contain a complete or partial copy of a data set from a single point in time. Materialized views also replicate data across distributed sites and synchronize updates performed on multiple sites for data storage at edge servers.

[0090] The generated materialized energy data view can be used for read-only operation, which can realize read-write separation and avoid the pollution of original data by the data requester. In addition, the materialized energy data view can be used for data replication, realize distributed storage of data, and reduce the data pressure of the platform.

[0091] In some embodiments, after the step of generating the data view of the integrated energy data to be processed according to the preset view definition, the data in the data view can also be desensitized to avoid leakage of sensitive data. In the data desensitization process, the original sensitive data is replaced or modified, but the original format and characteristics of the data are retained to ensure the functional availability of the data. In this way, even if the data is improperly accessed, the attacker cannot obtain the real sensitive information. User information, address information, and financial information in the energy data can all be prevented from leakage through desensitization.

[0092] The cloud control platform formulates control strategies based on energy data and mode selection instructions. For example, the management terminal can first provide a selection mode for intelligent scenarios, and users can select intelligent photovoltaic storage and charging or intelligent photovoltaic heat storage according to the scenario of the energy management system. Intelligent photovoltaic storage and charging can be used for application scenarios with photovoltaic power generation equipment, energy storage equipment, and electric vehicle charging equipment; while intelligent photovoltaic heat storage can be used for application scenarios with photovoltaic power generation equipment, energy storage equipment, and heat pump equipment. Technical personnel in this field can set modes for other types of scenarios based on intelligent photovoltaic storage and charging or intelligent photovoltaic heat storage according to the application scenarios of different equipment types.

[0093] Taking the selection of the intelligent solar energy storage and charging scenario as an example, entering the mode selection interface of the intelligent solar energy storage and charging scenario, the mode selection interface of the management terminal can output the selection entrances of the economic mode, fast mode, and vehicle standby mode. The above modes are configured for different control needs to achieve their respective goals. For example, the fast charging mode is used to achieve fast charging of electric vehicles, giving priority to meeting the charging needs of electric vehicle users; the economic mode gives priority to economic benefits and reduces energy consumption costs; the vehicle standby mode is used to maintain the health of the power battery of the electric vehicle when it is idle for a long time, while expanding the energy storage capacity; the green mode gives priority to the use of electricity generated by renewable energy to achieve energy conservation and emission reduction. The cloud control platform analyzes the energy data, determines the mode (or optional mode) that the device status corresponding to the energy data can support, and then provides the corresponding optional mode selection interface through the management terminal.

[0094] This embodiment also provides a computer program product 112 , a computer-readable storage medium 113 , and a photovoltaic power station design device 30 . Figure 5 is a schematic diagram of a computer program product 112 according to one embodiment of the present invention, Figure 6 is a schematic diagram of a computer-readable storage medium 113 according to an embodiment of the present invention, Figure 7 is a schematic diagram of an edge control device 21 according to an embodiment of the present invention.

[0095] The computer program product 112 includes a computer program 111, which implements the steps of any of the above-mentioned distributed energy system control methods based on edge control devices when executed by the processor 310. The computer readable storage medium 113 stores the above-mentioned computer program 111, which implements the steps of any of the above-mentioned distributed energy system control methods based on edge control devices when executed by the processor 310. The edge control device 21 may include a memory 320, a processor 310, and a computer program 111 stored in the memory 320 and running on the processor 310.

[0096] The computer program 111 used to perform the operations of the present invention can be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, configuration data of an integrated circuit, or source code or object code written in any combination of one or more programming languages ​​and procedural programming languages.

[0097] The computer program 111 may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the latter case, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, in order to perform various aspects of the present invention, electronic circuits including, for example, programmable logic circuits, field programmable gate arrays (FPGAs), or programmable logic arrays (PLAs) may execute computer-readable program instructions by utilizing state information of the computer-readable program instructions to personalize the electronic circuits.

[0098] In the description of this embodiment, the computer program product 112 is a related product including the computer program 111 .

[0099] For the purposes of the description of this embodiment, the computer-readable storage medium 113 is a tangible device capable of retaining and storing the computer program 111, which may be any device that can contain, store, communicate, propagate or transmit the program 111 for use with or in conjunction with an instruction execution system, device or apparatus. More specific examples (a non-exhaustive list) of the computer-readable storage medium 113 include the following: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, and any suitable combination of the foregoing.

[0100] At this point, those skilled in the art should recognize that, although multiple exemplary embodiments of the present invention have been shown and described in detail herein, many other variations or modifications that conform to the principles of the present invention can still be directly determined or derived based on the content disclosed in the present invention without departing from the spirit and scope of the present invention. Therefore, the scope of the present invention should be understood and recognized as covering all these other variations or modifications.

Claims

1. A distributed energy system control method based on an edge control device, comprising: Acquiring control reference data collected by a data collection device of the distributed energy system, wherein the data collection device is communicatively connected with an energy device that generates the control reference data; Obtain the operating status of the energy storage converter within the control range; Generate an adjustment instruction for the energy storage converter according to the control reference data and the operating state; The adjustment instruction is sent to the energy storage converter for execution by the energy storage converter.

2. The distributed energy system control method based on the edge control device according to claim 1, wherein: The step of generating an adjustment instruction for the energy storage converter according to the control reference data and the operating state comprises: Receiving a control strategy issued by a cloud control platform of the distributed energy system; Determine the corresponding control process and / or control parameters according to the control strategy; The adjustment instruction is generated using the control reference information according to the control process and / or the control parameters.

3. The distributed energy system control method based on the edge control device according to claim 2, wherein: The data acquisition device is also connected to the cloud control platform for communication, and is configured to upload energy data to the cloud control platform according to a set data transmission method, and the control reference data is a part of the energy data; The control strategy is formulated by the cloud control platform according to the energy data and the mode selection instruction, and the mode selection instruction is generated by the management terminal of the distributed energy system according to the operation of the management user.

4. The distributed energy system control method based on the edge control device according to claim 2, wherein: The step of obtaining the control reference data collected by the data collection device of the distributed energy system comprises: accessing the data acquisition device according to a predetermined polling cycle; Receive feedback data from the data acquisition device in response to the access, wherein the feedback data at least includes the control reference data.

5. The distributed energy system control method based on the edge control device according to claim 4, wherein: After the step of accessing the data acquisition device according to a predetermined polling cycle, the method further includes: If the feedback data of the data acquisition device is not received for a first set number of consecutive polling cycles, a prompt message indicating that the data acquisition device is abnormal is sent to the cloud control platform so that the cloud control platform can perform abnormal processing on the data acquisition device.

6. The distributed energy system control method based on the edge control device according to claim 4, wherein: After the step of accessing the data acquisition device according to a predetermined polling cycle, the method further includes: If the feedback data of the data acquisition device is not received for a second set number of consecutive polling cycles, a control request is sent to the cloud control platform; Obtain a direct control instruction from the cloud control platform in response to a controlled request, and forward the direct control instruction to the energy storage converter, so that the energy storage converter can adjust its operating state according to the direct control instruction.

7. The distributed energy system control method based on the edge control device according to claim 2, wherein: Before the step of receiving the control strategy sent by the cloud control platform of the distributed energy system, the method further includes: Obtaining configuration data sent by the cloud control platform, wherein the configuration data includes configuration parameters and firmware data; The configuration information of the edge control device is updated using the configuration parameters, and the firmware of the edge control device is updated using the firmware data.

8. The distributed energy system control method based on the edge control device according to claim 1, wherein: After the step of issuing the adjustment instruction to the energy storage converter, the method further includes: Obtaining the execution result of the energy storage converter executing the adjustment instruction; The execution result is fed back to the management terminal and the cloud control platform of the distributed energy system.

9. An edge control device for a distributed energy system, comprising a memory, a processor, and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the distributed energy system control method based on an edge control device according to any one of claims 1 to 8.

10. A distributed energy system, comprising: The edge control device of the distributed energy system according to claim 9; Energy equipment, configured to convert or consume electric energy and generate energy data during the conversion or consumption of said electric energy; The data acquisition device is communicatively connected with the edge control device and the energy device respectively, and is used to collect energy data generated by the energy device and send the control reference data in the energy data to the edge control device.

11. The distributed energy system according to claim 10, further comprising: A cloud control platform, which is in communication with the edge control device and the data acquisition device, and is configured to receive data uploaded by the data acquisition device and issue a control strategy to the edge control device; The management terminal is connected to the cloud control platform for communication, and is configured to generate a mode selection instruction according to the operation of the management user and provide it to the cloud control platform.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that When the computer program is executed by a processor, the steps of the distributed energy system control method based on an edge control device according to any one of claims 1 to 8 are implemented.

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