Energy management method and device of optical storage system, electronic equipment and storage medium

Abstract

The invention discloses an energy management method and device of an optical storage system, electronic equipment and a storage medium, through the application, a direct energy interaction platform is constructed by adopting a direct current power bus, the energy loss of an alternating current and direct current conversion link is fundamentally reduced, and the energy efficiency is improved. Meanwhile, through real-time coordination of the central control unit and prospective optimization of a system state prediction algorithm, accurate matching and dynamic adjustment of multi-device power flow are realized, so that the technical problems of low system energy efficiency, insufficient dynamic response capability and difficulty in multi-device cooperative operation of a traditional alternating-current and direct-current hybrid architecture can be solved; the technical effects of improving the overall energy efficiency of the system, enhancing the operation reliability and achieving rapid and accurate power distribution are achieved.

Description

Technical Field

[0001] This disclosure relates to the field of data processing technology, and in particular to an energy management method and apparatus, electronic device and storage medium for a photovoltaic energy storage system. Background Technology

[0002] Integrated photovoltaic-storage-DC-flexible systems, as an important component of new energy power systems, are widely used in zero-carbon buildings, smart parks, and other scenarios. In related technologies, traditional photovoltaic-storage-charging systems construct a hybrid AC / DC architecture integrating photovoltaics, inverters, energy storage, and charging piles through the coordinated operation of photovoltaic inverters, bidirectional energy storage converters (PCS), and charging piles. Specifically, this technology system covers the entire process from energy harvesting to load distribution, including key aspects such as DC conversion of photovoltaic modules, bidirectional regulation of the energy storage system, and AC / DC adaptation of charging piles. With the development of distributed energy technologies, zero-carbon buildings place higher demands on the energy efficiency, reliability, and dynamic response capabilities of energy systems, but existing architectures still suffer from systemic bottlenecks. Summary of the Invention

[0003] This disclosure provides an energy management method, apparatus, electronic device, and storage medium for a photovoltaic energy storage system.

[0004] According to a first aspect of this disclosure, an energy management method for a photovoltaic energy storage system is provided, comprising: By integrating multiple energy devices and load devices through a DC power bus, a direct energy interaction platform is formed to reduce energy conversion links; Multiple power conversion devices are deployed on the DC power bus to realize bidirectional energy transmission and dynamic allocation between different voltage levels; The central control unit monitors the operating parameters of each device in real time and coordinates the control of power flow and power value to ensure the coordinated operation of multiple devices on the DC platform. Based on the system state prediction algorithm, the energy output, energy storage capacity and load demand are optimized and calculated to achieve real-time adjustment of power distribution.

[0005] Optionally, the integration of multiple energy devices and load devices via a DC power bus includes: The system is equipped with main DC buses and secondary DC buses with different rated voltages. The photovoltaic power generation unit and the grid connection unit are connected to the main DC bus through a first type of power conversion device; The energy storage unit and DC power equipment are connected to the secondary DC bus via a second type of power conversion device; The main DC bus and the secondary DC bus are connected by a bidirectional power conversion device to achieve energy exchange across voltage levels.

[0006] Optionally, deploying multiple power conversion devices on the DC power bus includes: A bidirectional power conversion device is used as the energy transmission equipment between the main DC bus and the secondary DC bus. Its transmission power is adjustable and supports voltage self-adaptation. The electric vehicle charging and discharging equipment is directly connected to the main DC bus to achieve bidirectional power exchange between the vehicle and the DC bus.

[0007] Optionally, the real-time monitoring of the operating parameters of each device through the central control unit includes: Collect cumulative data on voltage, current, power, and energy of each device; Control commands are sent to each device through a communication interface. These control commands include setting power values ​​and power transmission directions.

[0008] Optionally, the optimization calculation of energy output, energy storage capacity, and load demand based on the system state prediction algorithm includes: The system energy loss is assessed based on the real-time energy output power and the charge state of the energy storage unit. When a change in the power grid state is detected to exceed a preset range, the power allocation scheme is adjusted within a set time.

[0009] Optionally, the method further includes: When the system is in off-grid operation mode and the power output capacity of the energy is less than the load demand, the energy output power is dynamically adjusted to match the load, and the energy storage unit supplements the difference in power.

[0010] According to a second aspect of this disclosure, an energy management device for a photovoltaic energy storage system is provided, comprising: The integrated unit is also used to integrate multiple energy devices and load devices through a DC power bus to form a direct energy interaction platform to reduce energy conversion links; The deployment unit is also used to deploy multiple power conversion devices on the DC power bus to realize bidirectional energy transmission and dynamic allocation between different voltage levels; The monitoring unit is also used to monitor the operating parameters of each device in real time through the central control unit, and coordinate the control of power flow and power value to ensure the coordinated operation of multiple devices on the DC platform; The computing unit is also used to optimize energy output, energy storage capacity and load demand based on system state prediction algorithms, so as to realize real-time adjustment of power distribution.

[0011] Optionally, the integration unit is further configured to: The system is equipped with main DC buses and secondary DC buses with different rated voltages. The photovoltaic power generation unit and the grid connection unit are connected to the main DC bus through a first type of power conversion device; The energy storage unit and DC power equipment are connected to the secondary DC bus via a second type of power conversion device; The main DC bus and the secondary DC bus are connected by a bidirectional power conversion device to achieve energy exchange across voltage levels.

[0012] Optionally, the deployment unit is further configured to: A bidirectional power conversion device is used as the energy transmission equipment between the main DC bus and the secondary DC bus. Its transmission power is adjustable and supports voltage self-adaptation. The electric vehicle charging and discharging equipment is directly connected to the main DC bus to achieve bidirectional power exchange between the vehicle and the DC bus.

[0013] Optionally, the monitoring unit is further configured to: Collect cumulative data on voltage, current, power, and energy of each device; Control commands are sent to each device through a communication interface. These control commands include setting power values ​​and power transmission directions.

[0014] Optionally, the computing unit is further configured to: The system energy loss is assessed based on the real-time energy output power and the charge state of the energy storage unit. When a change in the power grid state is detected to exceed a preset range, the power allocation scheme is adjusted within a set time.

[0015] Optional, also includes: The regulating unit is used to dynamically adjust the energy output power to match the load when the system is in off-grid operation mode and the power supply capacity of the energy output is less than the load demand, and the energy storage unit supplements the difference in power.

[0016] According to a third aspect of this disclosure, an electronic device is provided, comprising: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect above.

[0017] According to a fourth aspect of this disclosure, a non-transitory computer-readable storage medium is provided storing computer instructions, wherein the computer instructions are configured to cause the computer to perform the method described in the first aspect above.

[0018] According to a fifth aspect of this disclosure, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the method described in the first aspect above.

[0019] The energy management method, apparatus, electronic equipment, and storage medium for the photovoltaic-storage system disclosed herein, through the use of a DC power bus to construct a direct energy interaction platform, fundamentally reduces energy loss in the AC-DC conversion stage. At the same time, through real-time coordination of the central control unit and forward-looking optimization of the system state prediction algorithm, it achieves precise matching and dynamic adjustment of power flow for multiple devices. Therefore, it can solve the technical problems of low system energy efficiency, insufficient dynamic response capability, and difficulty in multi-device collaborative operation in traditional AC-DC hybrid architectures, and achieve the technical effects of improving overall system energy efficiency, enhancing operational reliability, and realizing rapid and accurate power allocation.

[0020] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0021] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein: Figure 1 A schematic flowchart illustrating an energy management method for a photovoltaic energy storage system provided in an embodiment of this disclosure; Figure 2 A schematic diagram of the structure of an energy management device for a photovoltaic energy storage system provided in an embodiment of this disclosure; Figure 3 A schematic diagram of the structure of an energy management device for another photovoltaic energy storage system provided in an embodiment of this disclosure; Figure 4 A schematic block diagram of an example electronic device provided for embodiments of this disclosure. Detailed Implementation

[0022] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0023] The energy management method, apparatus, electronic device, and storage medium of the photovoltaic energy storage system according to embodiments of the present disclosure are described below with reference to the accompanying drawings.

[0024] Figure 1 This is a schematic flowchart illustrating an energy management method for a photovoltaic energy storage system provided in an embodiment of this disclosure.

[0025] like Figure 1As shown, the method includes the following steps: Step 101: Integrate multiple energy devices and load devices through a DC power bus to form a direct energy interaction platform to reduce energy conversion links; As a unified DC power distribution architecture, the DC power bus can directly connect photovoltaic power generation units, energy storage battery systems, DC charging piles, and various DC load devices, realizing direct energy transmission and distribution in the DC domain. This integration method avoids the necessity of multiple AC-DC conversions in traditional systems, thereby significantly reducing energy conversion links and energy losses during the conversion process.

[0026] DC power buses provide a stable DC voltage platform, enabling efficient collaboration between various energy and load devices without relying on complex inverters or converters, thus simplifying the system structure. Simultaneously, this direct energy interaction platform improves system response speed and overall efficiency, reduces interface compatibility issues between devices, and enhances system reliability and maintainability. By optimizing energy paths, DC power buses ensure smooth energy transfer from source to load, supporting flexible energy management under various operating modes, and providing efficient and reliable energy solutions for applications such as zero-carbon campuses.

[0027] Step 102: Deploy multiple power conversion devices on the DC power bus to realize bidirectional energy transmission and dynamic allocation between different voltage levels; Power conversion devices are key interfaces connecting DC power buses to various energy or load devices, enabling flexible boosting or bucking of DC power according to system requirements. By configuring bidirectional DC converters, the system supports bidirectional energy flow between high and low voltage DC buses and between the buses and connected equipment, thereby achieving flexible energy scheduling and efficient utilization.

[0028] These power conversion devices feature rapid response capabilities, enabling real-time monitoring of bus voltage and equipment status. They dynamically adjust output power and voltage levels based on instructions from the energy management system, ensuring stable system operation under various conditions. This design allows photovoltaic power generation, energy storage batteries, DC charging piles, and various DC loads to work collaboratively on a unified DC platform, effectively solving the interconnection problem between devices of different voltage levels and improving the overall adaptability and economy of the system.

[0029] Step 103: The central control unit monitors the operating parameters of each device in real time and coordinates the control of power flow and power value to ensure the coordinated operation of multiple devices on the DC platform. As the core decision-making body of the system, the central control unit continuously collects operational data from various devices connected to the DC power bus via the communication network, including but not limited to voltage, current, power, and device status information. Based on preset energy management strategies and real-time operating conditions, the central control unit performs calculations and analyses, and generates corresponding control commands. These commands precisely adjust the power output and power direction of each power conversion device, thereby achieving proactive management and dynamic allocation of power flow.

[0030] Through this centralized coordination mechanism, the system can optimize internal energy dispatch, balance the supply and demand relationship between photovoltaic power generation, energy storage charging and discharging, and load power consumption, effectively suppress voltage fluctuations, and improve the stability and power quality of the DC microgrid. This collaborative control method ensures that the system can operate efficiently and reliably under different operating modes, giving full play to the advantages of the DC platform in integrating various distributed resources.

[0031] Step 104: Based on the system state prediction algorithm, optimize the calculation of energy output, energy storage capacity and load demand to realize real-time adjustment of power distribution.

[0032] The system status prediction algorithm analyzes historical operating data and real-time monitoring information to accurately predict photovoltaic power generation, battery energy storage status, and campus electricity load for future periods, providing a forward-looking decision-making basis for energy management. The optimization calculation process comprehensively considers the prediction results and current system conditions, and uses a mathematical optimization model to solve for the optimal power allocation strategy, aiming to maximize the proportion of renewable energy consumption, extend the life of energy storage equipment, and ensure the reliability of power supply to the load.

[0033] This algorithm can dynamically respond to environmental changes and load fluctuations, adjusting the output power and energy flow of each power conversion device in real time to ensure that the DC microgrid remains highly efficient and stable under different operating scenarios. Through this intelligent prediction and optimization mechanism, the system significantly improves energy utilization efficiency, reduces dependence on the external power grid, and enhances its adaptability to cope with emergencies, providing core technical support for sustainable energy management in zero-carbon buildings.

[0034] In some embodiments, the integration of multiple energy devices and load devices via a DC power bus includes: The system is equipped with main DC buses and secondary DC buses with different rated voltages. The photovoltaic power generation unit and the grid connection unit are connected to the main DC bus through a first type of power conversion device; The energy storage unit and DC power equipment are connected to the secondary DC bus via a second type of power conversion device; The main DC bus and the secondary DC bus are connected by a bidirectional power conversion device to achieve energy exchange across voltage levels.

[0035] The system employs a tiered voltage architecture with main and secondary DC buses of varying rated voltages to accommodate the operating characteristics of different equipment. The main DC bus typically uses a higher voltage level to connect photovoltaic power generation units and grid connection units. These units are connected to the main DC bus via a first-type power conversion device, enabling efficient energy injection and grid interaction. The secondary DC bus uses a relatively lower voltage level and connects energy storage units and DC power consumption equipment via a second-type power conversion device, meeting the safety voltage and stable power supply requirements of these devices.

[0036] A bidirectional power conversion device is connected between the main DC bus and the secondary DC bus. This device enables bidirectional transmission and flexible allocation of electrical energy between buses of different voltage levels, constructing a complete DC power distribution network. This hierarchical bus structure not only reduces system insulation requirements and improves safety, but also optimizes the operating efficiency of each power conversion device through reasonable voltage distribution. This allows photovoltaic energy, energy storage systems, and DC loads to operate stably on the most suitable voltage platform, while ensuring the reliability and economy of energy interaction across voltage levels.

[0037] In some embodiments, deploying multiple power conversion devices on the DC power bus includes: A bidirectional power conversion device is used as the energy transmission equipment between the main DC bus and the secondary DC bus. Its transmission power is adjustable and supports voltage self-adaptation. The electric vehicle charging and discharging equipment is directly connected to the main DC bus to achieve bidirectional power exchange between the vehicle and the DC bus.

[0038] The system employs a bidirectional power converter as the energy transfer device between the main DC bus and the secondary DC bus. This device features flexible power adjustment capabilities, dynamically adjusting its transmission power according to system commands. It also supports adaptive operation over a wide voltage range, ensuring stable energy transfer under various operating conditions. The bidirectional power converter automatically adjusts its operating point to optimize transmission efficiency by monitoring the voltage difference and power demand between the two buses in real time. Furthermore, the system directly connects the electric vehicle charging and discharging equipment to the main DC bus, enabling direct energy exchange between the vehicle's power battery and the DC bus via a dedicated interface.

[0039] This connection method eliminates intermediate conversion steps, enabling electric vehicles to both draw power from the DC bus for charging and feed power back to the DC bus when needed, achieving bidirectional power support between the vehicle and the DC microgrid system. This configuration effectively enhances the system's ability to integrate distributed energy storage resources and strengthens the grid's flexibility and stability.

[0040] In some embodiments, the real-time monitoring of the operating parameters of each device through the central control unit includes: Collect cumulative data on voltage, current, power, and energy of each device; Control commands are sent to each device through a communication interface. These control commands include setting power values ​​and power transmission directions.

[0041] As the core management component of the system, the central control unit establishes data connections with various devices connected to the DC power bus through multiple integrated communication interfaces. It continuously collects real-time operating parameters from each device, including but not limited to voltage, current, instantaneous power, and cumulative energy data, thereby comprehensively understanding the system's operating status. The collected data is processed and analyzed internally by the central control unit, providing accurate data for energy management decisions.

[0042] Based on preset control strategies and real-time optimization algorithms, the central control unit sends control commands to each power conversion device and terminal load via a communication interface. These commands primarily include setting power values ​​and power transmission directions, thereby precisely adjusting the power output or input characteristics of each device. This real-time monitoring and command issuance mechanism ensures the system can quickly respond to load changes and energy fluctuations, maintain power balance, prevent equipment overload or voltage exceeding limits, and improve overall operating efficiency. Through closed-loop control, the central control unit enables collaborative operation of multiple devices on a DC platform, enhancing system stability and adaptability, and providing reliable energy management support for zero-carbon campus energy systems.

[0043] In some embodiments, the optimization calculation of energy output, energy storage capacity, and load demand based on the system state prediction algorithm includes: The system energy loss is assessed based on the real-time energy output power and the charge state of the energy storage unit. When a change in the power grid state is detected to exceed a preset range, the power allocation scheme is adjusted within a set time.

[0044] The system state prediction algorithm continuously monitors the real-time output power of the energy source and the charge state of the energy storage units. Combining equipment operating characteristics with historical data, it dynamically assesses various energy losses generated during energy transmission and conversion, providing accurate basic parameters for optimization calculations. The optimization model constructed by this algorithm aims to maximize the overall system efficiency, comprehensively considering multiple factors such as photovoltaic power output fluctuations, energy storage charging and discharging efficiency, and load demand changes. When a change in the grid state is detected to exceed a preset range, such as significant fluctuations in grid voltage or frequency, the system state prediction algorithm can immediately initiate an emergency calculation process, regenerating the power allocation scheme within a set timeframe.

[0045] This adjustment scheme ensures the system rapidly adapts to changes in external grid conditions and maintains internal power balance and voltage stability by quickly adjusting the power setpoints and energy transmission direction of each power conversion device. This optimization mechanism, based on real-time assessment and rapid response, significantly enhances the system's ability to cope with grid interference and guarantees the continuity and economy of zero-carbon building energy supply.

[0046] In some embodiments, the method further includes: When the system is in off-grid operation mode and the power output capacity of the energy is less than the load demand, the energy output power is dynamically adjusted to match the load, and the energy storage unit supplements the difference in power.

[0047] In this mode, the system continuously monitors the real-time output power of the energy source and the available capacity of the energy storage unit, and calculates their combined power supply capacity. When the system detects that the power supply capacity of the energy output is less than the current total load demand, it immediately activates a dynamic power regulation mechanism. This mechanism first dynamically adjusts the energy output power by controlling the operating point of the photovoltaic power generation unit to match its output with the load demand, thus preventing system instability due to insufficient power supply. Simultaneously, the energy storage unit calculates the supplementary power value based on the real-time power deficit and responds quickly to provide the difference in power, ensuring the continuity of power supply to the load. This coordinated control strategy effectively utilizes the rapid power regulation characteristics of the energy storage unit, compensates for the intermittent nature of renewable energy generation, and can maintain system power balance and voltage stability even when completely disconnected from the grid, significantly improving the autonomous operation capability and power supply reliability of the zero-carbon campus energy system.

[0048] Corresponding to the energy management method for the photovoltaic-energy storage system described above, this invention also proposes an energy management device for the photovoltaic-energy storage system. Since the device embodiments of this invention correspond to the method embodiments described above, details not disclosed in the device embodiments can be referred to in the method embodiments described above, and will not be repeated here.

[0049] Figure 2 This is a schematic diagram of the structure of an energy management device for a photovoltaic energy storage system provided in an embodiment of the present disclosure, as shown below. Figure 2 As shown, it includes: Integration unit 21 is also used to integrate multiple energy devices and load devices through DC power bus to form a direct energy interaction platform to reduce energy conversion links; Deployment unit 22 is also used to deploy multiple power conversion devices on the DC power bus to realize bidirectional energy transmission and dynamic allocation between different voltage levels; The monitoring unit 23 is also used to monitor the operating parameters of each device in real time through the central control unit, and coordinate the control of power flow and power value to ensure the coordinated operation of multiple devices on the DC platform; The computing unit 24 is also used to optimize the calculation of energy output, energy storage capacity and load demand based on the system state prediction algorithm, so as to realize the real-time adjustment of power distribution.

[0050] Furthermore, in one possible implementation of this disclosure, the integration unit 21 is further configured to: The system is equipped with main DC buses and secondary DC buses with different rated voltages. The photovoltaic power generation unit and the grid connection unit are connected to the main DC bus through a first type of power conversion device; The energy storage unit and DC power equipment are connected to the secondary DC bus via a second type of power conversion device; The main DC bus and the secondary DC bus are connected by a bidirectional power conversion device to achieve energy exchange across voltage levels.

[0051] Furthermore, in one possible implementation of this disclosure embodiment, the deployment unit 22 is further configured to: A bidirectional power conversion device is used as the energy transmission equipment between the main DC bus and the secondary DC bus. Its transmission power is adjustable and supports voltage self-adaptation. The electric vehicle charging and discharging equipment is directly connected to the main DC bus to achieve bidirectional power exchange between the vehicle and the DC bus.

[0052] Furthermore, in one possible implementation of this disclosure, the monitoring unit 23 is further configured to: Collect cumulative data on voltage, current, power, and energy of each device; Control commands are sent to each device through a communication interface. These control commands include setting power values ​​and power transmission directions.

[0053] Furthermore, in one possible implementation of this disclosure, the computing unit 24 is further configured to: The system energy loss is assessed based on the real-time energy output power and the charge state of the energy storage unit. When a change in the power grid state is detected to exceed a preset range, the power allocation scheme is adjusted within a set time.

[0054] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 3 As shown, it also includes: The regulating unit 25 is used to dynamically adjust the energy output power to match the load when the system is in off-grid operation mode and the power supply capacity of the energy output is less than the load demand, and the energy storage unit supplements the difference power.

[0055] It should be noted that the foregoing explanation of the method embodiments also applies to the apparatus of the embodiments of this disclosure, and the principle is the same. Therefore, the embodiments of this disclosure are not limited thereto.

[0056] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0057] Figure 4 A schematic block diagram of an example electronic device 400 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0058] like Figure 4 As shown, device 400 includes a computing unit 401, which can perform various appropriate actions and processes based on a computer program stored in ROM (Read-Only Memory) 402 or a computer program loaded from storage unit 408 into RAM (Random Access Memory) 403. RAM 403 may also store various programs and data required for the operation of device 400. The computing unit 401, ROM 402, and RAM 403 are interconnected via bus 404. I / O (Input / Output) interface 405 is also connected to bus 404.

[0059] Multiple components in device 400 are connected to I / O interface 405, including: input unit 406, such as keyboard, mouse, etc.; output unit 407, such as various types of monitors, speakers, etc.; storage unit 408, such as disk, optical disk, etc.; and communication unit 409, such as network card, modem, wireless transceiver, etc. Communication unit 409 allows device 400 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0060] The computing unit 401 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, CPUs (Central Processing Units), GPUs (Graphics Processing Units), various special-purpose AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, DSPs (Digital Signal Processors), and any suitable processor, controller, microcontroller, etc. The computing unit 401 performs the various methods and processes described above, such as energy management methods for a photovoltaic energy storage system. For example, in some embodiments, the energy management methods for a photovoltaic energy storage system can be implemented as computer software programs tangibly contained in a machine-readable medium, such as storage unit 408. In some embodiments, part or all of the computer program can be loaded and / or installed on device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by the computing unit 401, one or more steps of the methods described above can be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the aforementioned energy management method of the photovoltaic energy storage system by any other suitable means (e.g., by means of firmware).

[0061] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System-on-Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0062] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0063] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0064] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0065] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include LANs (Local Area Networks), WANs (Wide Area Networks), the Internet, and blockchain networks.

[0066] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service system that addresses the shortcomings of traditional physical hosts and VPS (Virtual Private Server) services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0067] It's important to note that artificial intelligence (AI) is the study of enabling computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). It encompasses both hardware and software technologies. AI hardware technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily include computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graph technologies.

[0068] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0069] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method of energy management for a light storage system, the method comprising: The method comprises the following steps: A plurality of energy devices and load devices are integrated through a direct current power bus to form a direct energy interaction platform to reduce energy conversion links; A plurality of power conversion devices are deployed on the direct current power bus to realize bidirectional energy transmission and dynamic allocation between different voltage levels; A central control unit is used to monitor the operating parameters of each device in real time and coordinate the control of power flow and power value to ensure the collaborative operation of multiple devices on the direct current platform; A system state prediction algorithm is used to optimize the calculation of energy output, energy storage capacity and load demand to realize real-time adjustment of power distribution.

2. The method of claim 1, wherein, The integration of a plurality of energy devices and load devices through a direct current power bus comprises: A main direct current bus and a secondary direct current bus with different rated voltages are provided; A photovoltaic power generation unit and a grid connection unit are connected to the main direct current bus through a first type of power conversion device; An energy storage unit and a direct current power consumption device are connected to the secondary direct current bus through a second type of power conversion device; A bidirectional power conversion device is used to connect the main direct current bus and the secondary direct current bus to realize energy interaction across voltage levels.

3. The method of claim 1, wherein, The deployment of a plurality of power conversion devices on the direct current power bus comprises: A bidirectional power conversion device is used as the energy transmission device between the main direct current bus and the secondary direct current bus, which can adjust the transmission power and support voltage adaptation; An electric vehicle charging and discharging device is directly connected to the main direct current bus to realize bidirectional power exchange between the vehicle and the direct current bus.

4. The method of claim 1, wherein, The real-time monitoring of the operating parameters of each device by the central control unit comprises: The voltage, current, power and energy accumulation data of each device are collected; Control instructions including set power value and power transmission direction are sent to each device through a communication interface.

5. The method of claim 1, wherein, The optimization calculation of energy output, energy storage capacity and load demand based on the system state prediction algorithm comprises: The system energy loss is evaluated according to the real-time output power of the energy and the state of charge of the energy storage unit; When the grid state change exceeds the preset range, the power distribution scheme is adjusted within a set time.

6. The method of claim 1, wherein, The method further comprises: When the system is in off-grid operation mode and the power supply capacity of the energy output is less than the load demand, the energy output power is dynamically adjusted to match the load, and the energy storage unit supplements the difference in power.

7. An energy management device for a light storage system, characterized in that The method comprises the following steps: An integration unit is used to integrate a plurality of energy devices and load devices through a direct current power bus to form a direct energy interaction platform to reduce energy conversion links; A deployment unit is used to deploy a plurality of power conversion devices on the direct current power bus to realize bidirectional energy transmission and dynamic allocation between different voltage levels; A monitoring unit is used to monitor the operating parameters of each device in real time through a central control unit and coordinate the control of power flow and power value to ensure the collaborative operation of multiple devices on the direct current platform; A calculation unit is used to optimize the calculation of energy output, energy storage capacity and load demand based on a system state prediction algorithm to realize real-time adjustment of power distribution.

8. An electronic device, comprising: The method comprises the following steps: At least one processor; And A memory connected in communication with the at least one processor; wherein, The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.

9. A non-transitory computer-readable storage medium having stored thereon computer instructions, wherein, The computer instructions are for causing the computer to perform the method of any one of claims 1-6.

10. A computer program product, characterised in that, A computer program comprising instructions which, when executed by a processor, implement the method of any one of claims 1-6.

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