Energy-saving system applying green energy and intelligent micro-grid

Abstract

The invention provides an energy-saving system applying green energy and an intelligent micro-grid, and relates to a data processing technology and various energy equipment, and the energy equipment at least comprises green energy equipment, commercial power energy equipment and energy recovery equipment of special equipment. The various energy devices are connected with the special device, the green energy device, the mains supply energy device and the energy recycling device of the special device are used for supplying power to the special device, and the energy recycling device of the special device is used for recycling energy of the special device. The control equipment is used for acquiring the working state of the energy equipment, controlling the energy recovery equipment to perform energy recovery based on the working state, and controlling power supply to the special equipment based on the states of the green energy equipment, the mains supply energy equipment and the energy recovery equipment; or the electric energy of the green energy equipment and the recycled energy equipment is connected to the mains supply energy equipment in a grid mode, green energy is efficiently utilized, energy management is optimized, and energy conservation and emission reduction of special equipment are achieved.

Description

Technical Field

[0001] The present invention relates to data processing technology, and in particular to an energy-saving system using green energy and a smart microgrid. Background Art

[0002] In the modern industrial field, the widespread use of special equipment has brought about huge energy consumption and potential carbon emission problems, especially in scenarios where special equipment operates intensively, such as ports, mines or large construction sites. The high-load operation of equipment not only requires a large amount of electricity supply, but may also lead to energy waste and environmental pollution due to unreasonable energy utilization.

[0003] At present, most special equipment relies on AC power supply. Although it is stable, the utilization rate of green energy is not high, making it difficult to achieve low-carbon goals. Although some places have begun to introduce green energy such as solar energy and wind energy, the utilization efficiency of green energy is low due to the lack of systematic energy management and recycling mechanisms.

[0004] Therefore, how to efficiently utilize green energy, optimize energy management, and achieve energy conservation and emission reduction of special equipment has become an urgent problem to be solved. Summary of the invention

[0005] The present invention provides an energy-saving system using green energy and an intelligent microgrid, which can efficiently utilize green energy, optimize energy management, and achieve energy saving and emission reduction of special equipment.

[0006] A first aspect of the present invention provides an energy-saving system using green energy and a smart microgrid, comprising: Various energy equipment, including at least green energy equipment, mains energy equipment and special equipment energy recovery equipment; The various energy devices are connected to the special equipment respectively, the green energy device, the mains energy device and the energy recovery device of the special equipment are used to supply power to the special equipment, and the energy recovery device of the special equipment is used to recover energy from the special equipment; A control device, wherein the control device is used to obtain the working status of the energy device, control the recovery energy device to recover energy based on the working status, and control the power supply to special equipment based on the status of the green energy device, the mains energy device and the recovery energy device, or control the electric energy of the green energy device and the recovery energy device to be connected to the mains energy device.

[0007] Optionally, in a possible implementation of the first aspect, the green energy equipment includes at least distributed photovoltaic and distributed wind power; The energy recovery equipment at least includes supercapacitor energy storage equipment and distributed energy storage equipment; The energy recovery equipment of the special equipment is based on a single machine with multiple inverters sharing a DC bus or multiple machines sharing a DC bus for energy recovery, and is based on the connected high-efficiency high-power DC conversion device DCDC and supercapacitor energy storage during the energy recovery process; The control device performs regulation and processing of the energy recovery and energy-saving system based on DC protection measurement and control, safety control mechanism, AGC / AVC, meteorological data, EMS and intelligent digital dual-carbon energy management cloud platform.

[0008] Optionally, in a possible implementation of the first aspect, the intelligent digital dual-carbon energy management cloud platform performs dual-carbon management through the following steps, specifically including: Constructing an equipment distribution map of a special equipment energy storage type energy recovery and energy saving system, wherein the energy equipment, special equipment and energy recovery equipment have corresponding geographical location information in the equipment distribution map; Construct a corresponding line connection diagram based on the current connection relationship of all energy equipment, special equipment and energy recovery equipment in the equipment distribution diagram; Based on the connection relationship and geographical location information between all devices in the line connection diagram, the corresponding regional DC microgrid is obtained; The working status of all devices in each regional DC microgrid is obtained, and a regional DC microgrid is selected based on the working status and an inter-microgrid control strategy is established.

[0009] Optionally, in a possible implementation of the first aspect, the division processing based on the connection relationship and geographical location information between all devices in the line connection diagram to obtain a corresponding regional DC microgrid includes: Determine all energy equipment, special equipment and energy recovery equipment in the line connection diagram as one equipment point; The mains energy equipment among all equipment points is regarded as the first equipment point, and the equipment points other than the mains energy equipment among all equipment points is regarded as the second equipment point; Displaying all first equipment points in the line connection diagram in a first preset format, and displaying the connection line between the first equipment point and the second equipment point in the first preset format; Devices and connection lines that are not displayed and processed in the first preset form in the line connection diagram are extracted to obtain a diagram to be divided, and division processing is performed according to the connection relationship and geographical location information of the devices in the diagram to be divided to obtain a corresponding regional DC microgrid.

[0010] Optionally, in a possible implementation of the first aspect, extracting devices and connection lines in the line connection diagram that are not displayed and processed in the first preset form to obtain a diagram to be divided, performing division processing according to connection relationships and geographical location information of devices in the diagram to be divided to obtain a corresponding regional DC microgrid includes: Identify the pixel coordinates of the devices in the to-be-divided graph to obtain the to-be-divided area containing all the devices; Determine the center point of the area to be divided, and obtain the first distance between the center point and each division point within the division line of the area to be divided, and determine the longest first distance as the scanning distance; A corresponding scanning line is established in a preset direction with the center point as the starting point and the scanning distance as the length, and the devices in the divided map are scanned based on the scanning line, and the corresponding regional DC microgrid is obtained by dividing the devices according to their connection relationship and geographical location information.

[0011] Optionally, in a possible implementation manner of the first aspect, identifying pixel coordinates of devices in the to-be-divided map to obtain the to-be-divided area containing all devices includes: Obtain the pixel coordinates of each device in the image to be divided, and determine the maximum horizontal coordinate value, maximum vertical coordinate value, minimum horizontal coordinate value, and minimum vertical coordinate value of all pixel coordinates of all devices; The maximum horizontal coordinate value and the maximum vertical coordinate value are added to the first preset value to obtain a first divided horizontal coordinate value and a first divided vertical coordinate value, and the minimum horizontal coordinate value and the minimum vertical coordinate value are subtracted from the second preset value to obtain a second divided horizontal coordinate value and a second divided vertical coordinate value; In the to-be-divided graph, division lines corresponding to the first division abscissa value, the first division ordinate value, the second division abscissa value and the second division ordinate value are established respectively, and the intersection of the division lines is determined to determine the to-be-divided area in the to-be-divided graph.

[0012] Optionally, in a possible implementation of the first aspect, the establishing of a corresponding scanning line in a preset direction with the center point as the starting point and the scanning distance as the length, scanning the devices in the to-be-divided graph based on the scanning line, and dividing the devices according to the connection relationship and geographic location information to obtain the corresponding regional DC microgrid, including: Acquire a device that coincides with a pixel point of an initial scan line as a first dividing device, rotate the scan line in a first direction with a center point as a circle center, and acquire a device that coincides with a pixel point of an initial scan line as a second dividing device; If the first dividing device is connected to the second dividing device, the scanning line is rotated again in the corresponding direction with the center point as the center until the second dividing device obtained again is no longer connected to the first dividing device, and the scanning line is reset; After the scan line is reset, the device is rotated in a second direction opposite to the first direction, and the overlapped device acquired by the scan line is acquired again as the second dividing device; If the first dividing device is connected to the second dividing device, the scanning line is rotated again in the corresponding direction with the center point as the center until the second dividing device obtained again is no longer connected to the first dividing device; After the two directional scans are completed, the first division device and the second division device are verified, and the line connection network formed by the first division device and the second division device is used as a regional DC microgrid; The point where the scan is completed when rotating in the second direction is used as the starting point for scanning the scan line again, and a new first device is determined, and the second direction is continued to be rotated to determine a new second division device corresponding to the new corresponding device, until the new second division device is no longer connected to the new first device and then the scanning is stopped to build a regional DC microgrid.

[0013] Optionally, in a possible implementation of the first aspect, after the two directional scans are completed, the first division device and the second division device are verified, and the line connection network formed by the first division device and the second division device is obtained as a regional DC microgrid, including: When verifying the second division device, if it is determined that there is a second division device that is not connected to the first division device, the second division device is highlighted in a second preset form; A line connection network formed by all second dividing devices connected to the first dividing devices is used as a regional DC microgrid.

[0014] Optionally, in a possible implementation manner of the first aspect, obtaining the working status of all devices in each regional DC microgrid, selecting a regional DC microgrid based on the working status and establishing an inter-microgrid regulation strategy includes: The working status includes the clean energy usage value of the equipment, the mains energy usage value and the rated load; If there are multiple regional DC microgrids, the clean energy usage value and the mains energy usage value of each regional DC microgrid are counted according to a preset time sequence; Count the clean energy usage and mains energy usage of each regional DC microgrid at the corresponding time series, and calculate the rated load of the special equipment corresponding to each regional DC microgrid; Calculate the ratio of the clean energy usage value and the mains energy usage value to the rated load at each time sequence to obtain the clean energy load proportion and the mains energy load proportion; Based on the clean energy load proportion and the mains energy load proportion, a regional DC microgrid is selected and an inter-microgrid control strategy is established.

[0015] Optionally, in a possible implementation manner of the first aspect, the selecting a regional DC microgrid based on the clean energy load proportion and the mains energy load proportion and establishing an inter-microgrid regulation strategy includes: Each regional DC microgrid is grouped into two groups to obtain multiple regional DC microgrid device groups; Calculate the differentiation coefficients of the clean energy load proportion and the mains energy load proportion of each two regional DC microgrid equipment groups at different time sequences, and obtain the total differentiation coefficient after weighting the differentiation coefficients of the two equipment at all time sequences; The total differentiation coefficient is calculated by the following formula, in, For the The total differentiation coefficient of the device groups, No. The time series weight value of the time series, For the The clean energy load ratio of the first device in the time series is For the The clean energy load ratio of the second device in the time series, is the clean normalized value, For the The proportion of the mains energy load of the second device in the time series, For the The proportion of the mains energy load of the second device in the time series, is the normalized value of the mains electricity; The device group with the largest total differentiation coefficient corresponding to each device is taken as the first device group. If the total differentiation coefficient within the first device group is greater than the standard coefficient, a microgrid control strategy is established between the corresponding two devices, and a connection is established in the power supply bus of the green energy device and / or the recycled energy device.

[0016] According to a second aspect of the present invention, a storage medium is provided, in which a computer program is stored. When the computer program is executed by a processor, it is used to implement the method of the first aspect of the present invention and various possible designs of the first aspect.

[0017] The beneficial effects of the present invention are as follows: 1. The present invention can form a diversified energy supply scheme by integrating clean energy such as solar energy and wind energy, and energy recovery equipment of special equipment. At the same time, intelligent control equipment is used to realize real-time monitoring and deployment of different energy equipment, so that it can efficiently utilize green energy and store the recovered energy in the operation of special equipment, reduce dependence on municipal electricity, and achieve energy conservation and emission reduction goals. Among them, the system of the present invention forms a diversified energy supply network by introducing green energy equipment such as solar energy and wind energy, as well as energy recovery equipment of special equipment. Green energy equipment such as distributed photovoltaic and wind power facilities provide clean electricity for the system, reducing dependence on municipal electricity. At the same time, energy recovery equipment such as supercapacitor energy storage equipment can quickly absorb and release transient energy in the operation of special equipment, and maximize energy recovery efficiency. This diversified energy supply and recovery mechanism not only realizes the efficient utilization of clean energy, but also provides more reliable and flexible energy support for special equipment.

[0018] 2. The system of the present invention can intelligently control and dynamically allocate the corresponding power supply network. Among them, the control equipment in the system monitors the working status of various energy equipment, adjusts the energy recovery equipment in real time, and realizes the dynamic distribution of energy. With the help of DC protection measurement and control mechanism, AGC / AVC and other advanced technologies, the system can ensure the stability of power grid operation under various operating conditions. In addition, when green energy equipment and energy recovery equipment generate excess electricity, the system can merge the additional energy into the city power network to support the stability of the power grid and obtain economic benefits. Through this intelligent control strategy, the system can effectively optimize energy use, reduce carbon emissions, and achieve real energy-saving goals.

[0019] 3. Through the intelligent digital dual-carbon energy management cloud platform, the system can build a refined equipment distribution map and line connection map, and divide energy equipment, special equipment and energy recovery equipment into several regional DC microgrids. Each microgrid realizes self-production and self-sales of energy and mutual assistance, supporting the efficient operation of equipment in the region. In addition, through the optimized configuration of connections between devices, the system can perform macro-dispatching between different microgrids to achieve a wider range of energy optimization and energy conservation and emission reduction. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 The present invention provides a structural schematic diagram of an energy-saving system using green energy and a smart microgrid; Figure 2 The present invention provides a schematic diagram of a structure in which multiple machines and multiple units share a DC bus to recover and store energy; Figure 3 The present invention provides a flow chart of a dual-carbon management method of an intelligent digital dual-carbon energy management cloud platform. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in sequences other than those illustrated or described herein.

[0023] It should be understood that in various embodiments of the present invention, the size of the sequence number of each process does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0024] It should be understood that in the present invention, "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0025] It should be understood that in the present invention, "plurality" refers to two or more than two. "And / or" is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "Contains A, B and C", "Contains A, B, C" means that A, B, and C are all included, "Contains A, B or C" means that one of A, B, and C is included, and "Contains A, B and / or C" means that any one, any two, or any three of A, B, and C are included.

[0026] It should be understood that in the present invention, "B corresponding to A", "B corresponding to A", "A corresponds to B" or "B corresponds to A" means that B is associated with A and B can be determined based on A. Determining B based on A does not mean determining B based only on A, but B can also be determined based on A and / or other information. A and B match when the similarity between A and B is greater than or equal to a preset threshold.

[0027] Depending on the context, "if" as used herein may be interpreted as "when" or "when" or "in response to determining" or "in response to detecting."

[0028] The technical solution of the present invention is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0029] like Figure 1 As shown, the present invention provides an energy-saving system using green energy and smart microgrid, comprising: A variety of energy equipment, the energy equipment at least includes green energy equipment, mains energy equipment and special equipment energy recovery equipment.

[0030] It should be noted that in order to make the energy consumed by special equipment during operation cleaner and reduce unnecessary carbon emissions, green energy can be used and the potential energy during the operation of special equipment can be converted into electrical energy for recycling to achieve energy-saving effects in the power grid. At the same time, energy can be supplied to special equipment through a variety of energy equipment, so as to achieve efficient energy utilization and green emission reduction in special equipment intensive operation scenarios.

[0031] It can be understood that energy equipment is equipment that provides energy consumption for special equipment, including at least green energy equipment, municipal power energy equipment and energy recovery equipment for special equipment.

[0032] Among them, green energy equipment refers to renewable energy facilities including solar energy, wind energy, etc., which are used to provide clean energy; municipal power energy equipment refers to electricity provided by traditional power grids; and energy recovery equipment refers to equipment that recovers excess energy of special equipment during operation. For example, it can convert potential energy into usable electrical energy.

[0033] The various energy devices are connected to special equipment respectively; the green energy device, the mains energy device and the energy recovery device of the special equipment are used to supply power to the special equipment; and the energy recovery device of the special equipment is used to recover energy from the special equipment.

[0034] It is understandable that connecting various energy devices with special equipment ensures that special equipment can obtain power from different sources, provides multiple power supply paths, and improves the flexibility and reliability of the system.

[0035] Among them, by integrating green energy and recycled energy, the dependence on municipal electricity can be minimized, energy conservation and emission reduction can be achieved, and the energy recovery equipment can capture and store energy losses during the operation of special equipment, thereby improving overall energy efficiency.

[0036] A control device, wherein the control device is used to obtain the working status of the energy device, control the recovery energy device to recover energy based on the working status, and control the power supply to special equipment based on the status of the green energy device, the mains energy device and the recovery energy device, or control the electric energy of the green energy device and the recovery energy device to be connected to the mains energy device.

[0037] It can be understood that the control device is a device that monitors the working status of the energy equipment and controls the power supply and discharge of the system.

[0038] It is not difficult to understand that by monitoring the working status of energy equipment through control equipment, the recycling activities of recycling energy equipment can be dynamically adjusted according to the working status of each energy equipment. By managing the power distribution of green energy equipment, municipal power energy equipment and recycling energy equipment, the normal operation of special equipment under various conditions can be ensured. At the same time, the electric energy of green energy equipment and recycling energy equipment can be controlled to be connected to the municipal power energy equipment to achieve optimal utilization of energy.

[0039] It is worth mentioning that when green energy equipment and recycled energy equipment generate excess electricity, they can be integrated into the mains energy equipment to support the stability of the power grid and obtain economic benefits.

[0040] The green energy equipment includes at least distributed photovoltaic and distributed wind power.

[0041] It can be understood that green energy equipment includes at least distributed photovoltaics and distributed wind power. Distributed photovoltaics can be achieved by laying photovoltaic panels in the special equipment operation area, converting solar energy into electrical energy, and providing a clean and sustainable energy source for the system. Distributed wind power can be achieved by installing wind turbines near the special equipment operation site, especially in ports, docks, open construction sites and other places with abundant wind resources, using wind energy to provide green electricity for the system.

[0042] The energy recovery equipment at least includes a supercapacitor energy storage device and a distributed energy storage device.

[0043] It is understandable that supercapacitor energy storage equipment is used to quickly absorb and release the high peak energy generated instantly by special equipment, providing a high power density energy storage solution. Distributed energy storage equipment provides a long-term energy storage solution to support the stable operation of the system. It can achieve long-term storage and on-demand release of energy through chemical battery energy storage systems distributed in different regions, build a multi-level, highly flexible energy storage system, and at the same time, it can charge at low electricity prices and discharge at peak electricity prices, further enhancing the value of distributed energy storage.

[0044] The energy recovery equipment of the special equipment recovers energy based on a single machine with multiple inverters sharing a DC bus or multiple machines sharing a DC bus, and stores energy based on the connected high-efficiency high-power DC conversion device DCDC and supercapacitor during the energy recovery process.

[0045] It is understandable that by adopting the technology of sharing the DC bus with multiple inverters in a single machine, multiple inverters in the same special equipment can share the DC bus, achieving efficient flow and balance of energy within the equipment. On this basis, Figure 2 As shown, it is further extended to a multi-machine shared DC bus solution, that is, a shared DC bus network is established between multiple lifting equipment of the same or different types, realizing the horizontal transmission and optimal distribution of energy between equipment, creating a broader space for energy recovery and reuse.

[0046] Among them, the high-efficiency and high-power DC conversion device DCDC is the heart of energy conversion and transmission. It can not only efficiently convert the regenerative energy recovered during the braking process of special equipment into a form suitable for storage, but also convert the stored energy into power that can be used by special equipment when needed, thereby realizing two-way and efficient flow of energy, greatly improving the flexibility and efficiency of energy utilization. At the same time, supercapacitor energy storage is used as a high-speed energy storage unit, which not only has fast charging and discharging speed and long cycle life, but is also very suitable for quickly absorbing and releasing transient energy generated by lifting equipment.

[0047] The control device performs regulation and processing of the energy recovery and energy-saving system based on DC protection measurement and control, safety control mechanism, AGC / AVC, meteorological data, EMS and intelligent digital dual-carbon energy management cloud platform.

[0048] It should be noted that the control device will be restricted by various control technologies during the energy recovery process in order to ensure the safety of system operation.

[0049] Among them, DC protection measurement and control uses precise sensors and controllers to monitor and control key indicators such as DC bus voltage, current, temperature, etc. in real time to ensure that the system can operate safely and stably under various working conditions, and establish a sound safety protection mechanism, such as short-circuit protection, overload protection, over-temperature protection, etc., to effectively prevent safety accidents caused by electrical failures and build a solid firewall for the system. At the same time, it integrates advanced control technologies such as AGC (automatic generation control) and AVC (automatic voltage control) to ensure the stability of grid frequency and voltage and improve power quality.

[0050] It is understandable that EMS is an intelligent energy management system, among which EMS and the intelligent digital dual-carbon energy management cloud platform together constitute the central nervous system of energy management. EMS is responsible for collecting, analyzing and optimizing the operating data of special equipment, and intelligently dispatching energy recovery, energy storage and power supply and other links to ensure maximum energy utilization. The cloud platform provides a series of value-added services such as remote monitoring, fault warning, equipment health management, carbon emission tracking, etc. through cloud computing and big data analysis, providing users with comprehensive energy management solutions, helping enterprises achieve digital transformation and green production.

[0051] It is not difficult to understand that meteorological data will affect the production of green energy. For example, sunlight and wind power will affect photovoltaic power generation and wind power generation. The energy recovery and energy-saving system can then be regulated and processed based on meteorological data.

[0052] like Figure 3 As shown, the intelligent digital dual-carbon energy management cloud platform performs dual-carbon management through the following steps, specifically including: S1, constructing an equipment distribution map of a special equipment energy storage type energy recovery and energy saving system, wherein the energy equipment, special equipment and energy recovery equipment have corresponding geographical location information in the equipment distribution map.

[0053] It should be noted that achieving dual-carbon management through an intelligent digital dual-carbon energy management cloud platform will help optimize the distribution and use of energy and improve the overall efficiency and sustainability of the system.

[0054] It is understandable that in order to facilitate the subsequent recovery and regulation of the energy of special equipment, an equipment distribution map corresponding to the special equipment energy storage type energy recovery and energy-saving system can be constructed to display the geographical locations of special equipment, energy equipment and energy recovery equipment.

[0055] The device distribution map is a distribution map with geographical information of various devices, and the geographical location information may be longitude and latitude information.

[0056] It is not difficult to understand that collecting the geographic location information of all relevant equipment and displaying the specific locations of different devices through a graphical interface can provide a basis for subsequent connection relationships and microgrid division.

[0057] S2, constructing a corresponding line connection diagram based on the current connection relationship of all energy equipment, special equipment and energy recovery equipment in the equipment distribution diagram.

[0058] It is understandable that the physical connections between energy equipment, special equipment and energy recovery equipment are analyzed and a line connection diagram is established to clearly depict the power transmission path between the equipment.

[0059] Among them, the connection relationship is the power connection corresponding to the energy equipment, special equipment and energy recovery equipment, and the line connection diagram is a diagram showing the line connection relationship between different equipment.

[0060] S3, based on the connection relationship and geographical location information between all devices in the line connection diagram, division processing is performed to obtain the corresponding regional DC microgrid.

[0061] It is understandable that in order to more effectively manage and control the allocation of energy so that the power grid system can achieve energy conservation and emission reduction effects, the system corresponding to the power equipment can be divided into several regional DC microgrids.

[0062] Among them, the line connection map and geographic location information are used to divide the equipment into different microgrids to ensure that the equipment in each microgrid has good connectivity and geographical continuity.

[0063] It is not difficult to understand that in the special equipment operation area, through the deployment and coordination of the above-mentioned core technical components (DC protection measurement and control, safety control mechanism, AGC / AVC), several small DC microgrids are constructed. Each microgrid covers a certain number of the same or different types of lifting equipment, realizing self-production and sales of energy and mutual assistance in the region. On this basis, multiple microgrids can be interconnected through the trunk DC bus to form a larger-scale energy network, realizing macro-dispatching and optimal configuration of energy.

[0064] Through the above implementation methods, the system can be finely divided through regional management to ensure the stability and reliability of the system under different operating conditions and improve the overall energy-saving efficiency of the system.

[0065] In some embodiments, the specific implementation of step S3 (the division process based on the connection relationship and geographical location information between all devices in the line connection diagram to obtain the corresponding regional DC microgrid) includes: S31, determine all energy equipment, special equipment and energy recovery equipment in the line connection diagram as a device point.

[0066] It is understandable that, in order to facilitate the subsequent management and display of the system, all energy equipment, special equipment and energy recovery equipment in the line connection diagram can be regarded as one equipment point.

[0067] It is not difficult to understand that establishing the basic data structure of the equipment points facilitates subsequent graphical processing.

[0068] S32, taking the city power energy equipment among all the equipment points as the first equipment point, and taking the equipment points other than the city power energy equipment among all the equipment points as the second equipment point.

[0069] It can be understood that the first equipment point is the AC energy equipment among the equipment points, that is, the geographical location information corresponding to the AC energy equipment in the line connection diagram is marked as the first equipment point, and the second equipment point is the equipment point other than the AC energy equipment among all equipment points.

[0070] Through the above implementation, the mains energy equipment is distinguished from other equipment to facilitate the subsequent management and display of the mains.

[0071] S33, displaying and processing all first equipment points in the line connection diagram according to the first preset format, and displaying and processing the connection lines between the first equipment points and the second equipment points according to the first preset format.

[0072] It can be understood that in order to distinguish the mains power, the first device point can be displayed in the first preset format, and the connection line between the first device point and the second device point can also be displayed in the first preset format.

[0073] Among them, the first preset form is a display mode related to the first equipment point, such as a hidden display, that is, the AC power equipment in the line connection diagram or the connecting lines related to the AC power equipment are hidden, so as to improve the visualization level of equipment management and facilitate monitoring and adjustment.

[0074] It is not difficult to understand that the corresponding mains power equipment and the corresponding connection relationship with the mains power can be hidden through the first preset form, so as to reduce the interference of the mains power in the image and facilitate intuitive viewing of other energy sources for energy-saving analysis.

[0075] S34, extracting the devices and connection lines in the line connection diagram that are not displayed in the first preset form to obtain a diagram to be divided, and performing division processing according to the connection relationship and geographical location information of the devices in the diagram to be divided to obtain the corresponding regional DC microgrid.

[0076] It can be understood that the part not displayed in the first preset form is extracted from the line connection diagram to obtain the map to be divided, and detailed division is performed according to the connection relationship and geographical location information of the equipment in the map to be divided to generate the corresponding regional DC microgrid, ensuring that the equipment in each microgrid has logical integrity and geographical continuity, and the equipment with close distances can be divided into a regional DC microgrid, which is convenient for management and reduces losses in long-distance power supply and transmission.

[0077] The diagram to be divided is a distribution diagram formed by devices and connection lines that are not displayed in the first preset form.

[0078] It is not difficult to understand that through detailed equipment identification and classification, the accuracy and effectiveness of microgrid division can be ensured. At the same time, through meticulous division and connection analysis, more efficient control strategies within and between microgrids can be supported.

[0079] In some embodiments, the specific implementation of step S34 (the device and connection lines that are not displayed in the first preset form in the line connection diagram are extracted to obtain a diagram to be divided, and the division process is performed according to the connection relationship and geographical location information of the devices in the diagram to be divided to obtain the corresponding regional DC microgrid) includes: S341, identifying the pixel coordinates of the devices in the to-be-divided map, and obtaining the to-be-divided area including all the devices.

[0080] It is understandable that in order to accurately identify the device positions in the map to be divided, the pixel coordinates of each device in the map to be divided can be extracted, and then a boundary area containing all devices can be obtained to form the area to be divided.

[0081] The pixel coordinates are the coordinates of the pixel points in the image, and the area to be divided is the area containing all devices in the image to be divided.

[0082] It is not difficult to understand that the existing technology OpenCV can be used to identify the map to be divided, so as to obtain the pixel coordinates of each device in the map to be divided.

[0083] Through the above implementation, the accuracy of device identification and boundary determination in the to-be-divided graph is ensured, laying a foundation for the subsequent regional division and construction of the DC microgrid.

[0084] In some embodiments, the specific implementation of step S341 (the identification of the pixel coordinates of the devices in the to-be-divided map to obtain the to-be-divided area containing all the devices) includes: S3411, obtain the pixel coordinates of each device in the to-be-divided image, and determine the maximum horizontal coordinate value, the maximum vertical coordinate value, the minimum horizontal coordinate value, and the minimum vertical coordinate value of all pixel coordinates of all devices.

[0085] It can be understood that in order to divide the devices in the to-be-divided map according to the distance between them, the maximum horizontal coordinate value, the maximum vertical coordinate value, the minimum horizontal coordinate value, and the minimum vertical coordinate value of all pixel point coordinates of all devices can be obtained.

[0086] Among them, the maximum horizontal coordinate is the maximum value of the horizontal coordinate, the minimum horizontal coordinate is the minimum value of the horizontal coordinate, the maximum vertical coordinate is the maximum value of the vertical coordinate, and the minimum vertical coordinate is the minimum value of the vertical coordinate.

[0087] It is not difficult to understand that by obtaining the pixel coordinates corresponding to each device, the precise position of each device in the image to be divided can be obtained and its boundary can be determined.

[0088] S3412, respectively add the maximum horizontal coordinate value and the maximum vertical coordinate value to the first preset value to obtain the first divided horizontal coordinate value and the first divided vertical coordinate value, and respectively subtract the minimum horizontal coordinate value and the minimum vertical coordinate value from the second preset value to obtain the second divided horizontal coordinate value and the second divided vertical coordinate value.

[0089] It can be understood that in order to ensure that the subsequently determined area can completely include all devices and not cover the coordinate position points corresponding to the relevant devices, the corresponding boundary coordinates can be increased or decreased accordingly so that there is a certain distance between the subsequently determined area boundary and the device at the boundary, that is, through the first preset value and the second preset value, the device boundary is expanded to determine the divided area.

[0090] Among them, the first preset value is a preset value that needs to be increased, the second preset value is a preset value that needs to be decreased, the first dividing horizontal axis value is the maximum value of the division corresponding to the horizontal axis, the first dividing vertical axis value is the maximum value of the division corresponding to the vertical axis, the second dividing horizontal axis is the minimum value of the division corresponding to the horizontal axis, and the second dividing vertical axis is the minimum value of the division corresponding to the vertical axis.

[0091] S3413, establishing division lines corresponding to the first division horizontal coordinate value, the first division vertical coordinate value, the second division horizontal coordinate value and the second division vertical coordinate value respectively in the to-be-divided graph, and determining the intersection of the division lines to determine the to-be-divided area in the to-be-divided graph.

[0092] It can be understood that in the figure to be divided, according to the corresponding first dividing horizontal coordinate value and the second dividing horizontal coordinate value, straight lines perpendicular to the horizontal coordinate are established as dividing lines, and according to the first dividing vertical coordinate value and the second dividing vertical coordinate value, straight lines perpendicular to the vertical coordinate are established as dividing lines, so as to determine the enclosed area as the area to be divided according to the intersection of the four dividing lines.

[0093] It is not difficult to understand that the method of using dividing lines and their intersections can ensure the clarity and completeness of the area to be divided.

[0094] S342, determining the center point of the area to be divided, and obtaining a first distance between the center point and each division point within a division line of the area to be divided, and determining the longest first distance as a scanning distance.

[0095] It can be understood that the dividing point is the position point on the dividing line, the first distance is the length distance between the center point and the dividing point, and the scanning distance is the longest first distance. For example, when the area to be divided is a rectangle, the boundary lines surrounding the area are the dividing lines, that is, the longest first distance is usually the longest distance from the center point to the point on the diagonal line, which can be used as the scanning distance.

[0096] It is not difficult to understand that the longest first distance is selected as the scanning distance so that all devices in the area and the connection relationships between the devices can be scanned and acquired, which is convenient for the subsequent refined division of the regional DC microgrid.

[0097] S343, establishing a corresponding scanning line in a preset direction with the center point as the starting point and the scanning distance as the length, scanning the devices in the to-be-divided diagram based on the scanning line, and dividing the devices according to the connection relationship and geographic location information to obtain the corresponding regional DC microgrid.

[0098] It can be understood that the preset direction is a pre-set construction direction, for example, it can be the direction of due north, due east, due south, and due west. The scanning line is the line segment for scanning the image information, that is, the scanning line is constructed with the center point as the starting point and the scanning distance as the length.

[0099] It is not difficult to understand that the devices in the division diagram are scanned according to the scanning lines in order to determine the connection relationship and geographical location information of the corresponding devices for division, thereby obtaining the corresponding regional DC microgrid to ensure that each microgrid has logical and geographical integrity.

[0100] In some embodiments, the specific implementation of step S343 (the establishment of a corresponding scanning line in a preset direction with the center point as the starting point and the scanning distance as the length, scanning the devices in the to-be-divided diagram based on the scanning line, and obtaining the corresponding regional DC microgrid by dividing the devices according to the connection relationship and geographical location information) includes: S3431, obtaining a device that overlaps with a pixel point of an initial scan line as a first dividing device, rotating the scan line in a first direction with the center point as the center, and obtaining a device that overlaps with the scan line again as a second dividing device.

[0101] It can be understood that the initial scan line can be any one selected from the scan lines corresponding to all directions, the first dividing device is a device that coincides with the pixel position on the initial scan line, and the first direction is the direction of rotation of the scan line, which can be counterclockwise or clockwise.

[0102] It is not difficult to understand that after determining the first dividing device, the scanning line is rotated in the first direction (clockwise or counterclockwise) with the center point as the center of the circle, and the overlapping device is scanned again to be determined as the second dividing device.

[0103] Through the above implementation, the first dividing device and the second dividing device are determined, so that the division of the regional DC microgrid can be determined based on the connection relationship and geographical location information between the first dividing device and the second dividing device, so that the devices of the regional DC microgrid after the division are more concentrated, which is convenient for the subsequent optimization and regulation of energy.

[0104] S3432: If the first dividing device is connected to the second dividing device, the scan line is rotated again in the corresponding direction with the center point as the center until the second dividing device obtained again has no connection with the first dividing device, and the scan line is reset.

[0105] It can be understood that when the first dividing device and the second dividing device have a connection relationship, it can be said that the corresponding two devices are in the same power grid. Since the AC power has been hidden, the connection relationship between the devices identified by scanning will not be a AC power connection, but a device connection between green energy or recycled energy in the corresponding area. Furthermore, the devices with a connection relationship can be regarded as devices in the DC microgrid in the same area.

[0106] At the same time, when it is determined that there is a connection relationship between the first dividing device and the second dividing device, the scanning line continues to rotate in the same direction until the second dividing device has no connection relationship with the first dividing device. This means that there is no connection relationship between the two devices, and the corresponding devices may not be used as devices in the same regional DC microgrid. The scanning line can then be reset to prepare for scanning in the opposite direction.

[0107] S3433, after the scan line is reset, rotate in a second direction opposite to the first direction, and obtain the overlapped devices obtained by the scan line again as the second dividing device.

[0108] It can be understood that the device is scanned and identified in the opposite direction to expand the device identification range, that is, after the scan line is reset, the scan line is rotated in a second direction opposite to the first direction to identify overlapping devices and update the second dividing device.

[0109] The second direction is opposite to the first direction. For example, when the first direction is counterclockwise, the corresponding second direction is clockwise.

[0110] S3434: If the first dividing device is connected to the second dividing device, the scanning line is rotated again in the corresponding direction with the center point as the center until the second dividing device obtained again is no longer connected to the first dividing device.

[0111] It is understandable that the device connection relationship is detected in the reverse direction to ensure complete device identification, and the connection relationship between the current first dividing device and the second dividing device is detected. When the connection relationship exists, the scan line continues to rotate in the second direction until there is no connection relationship.

[0112] S3435, after the two directional scans are completed, the first division device and the second division device are verified and processed, and the line connection network formed by the first division device and the second division device is used as the regional DC microgrid.

[0113] It can be understood that in order to complete the division of the regional DC microgrid, the equipment can be verified, the first and second divided equipment obtained by scanning in two directions are verified, and the equipment line connection network formed by the mutual connection relationship is used as the regional DC microgrid.

[0114] It is worth mentioning that when it is identified that the first dividing device has no connection relationship with the first dividing device, since there may be other devices at different positions on the same scanning line, the scanning line can continue to rotate to improve the integrity and accuracy of the microgrid division.

[0115] In some embodiments, the specific implementation of step S3435 (after completing two directional scans, verifying the first partitioning device and the second partitioning device, and using the line connection network formed by the first partitioning device and the second partitioning device as the regional DC microgrid) includes: S34351, when verifying the second division device, if it is determined that there is a second division device that is not connected to the first division device, the second division device is highlighted in a second preset form.

[0116] It is understandable that when verifying the second division device, if it is determined that a second division device is not connected to the first division device, it can be said that the corresponding first division device does not belong to the device in the power grid, and the device is highlighted in the second preset form.

[0117] The second preset form is a form of displaying the second divided devices that have no connection relationship, and may be preset manually, for example, the color of the device may be changed or it may be deleted so that the corresponding second divided device is no longer displayed.

[0118] Through the above implementation, devices that have no connection relationship are highlighted, which facilitates subsequent analysis and adjustment of the microgrid and avoids potential network isolation problems.

[0119] S34352, the line connection network formed by all the second dividing devices connected to the first dividing devices is used as a regional DC microgrid.

[0120] It is understandable that a stable regional DC microgrid is constructed based on the connection relationship between devices. It is not difficult to understand that all second dividing devices that have a connection relationship with the first dividing device are taken into consideration and the line connection network formed between these devices is regarded as a complete regional DC microgrid.

[0121] S3436, use the point where the scan is completed when rotating in the second direction as the starting point for scanning the scan line again, and determine the new first device, and continue to rotate in the second direction to determine the new second dividing device corresponding to the new corresponding device, until the new second dividing device is no longer connected to the new first device and then stop scanning to build a regional DC microgrid.

[0122] It can be understood that in order to construct the regional DC microgrid corresponding to the remaining areas, scanning and identification can continue, that is, the position where the second direction scan ends is used as the new starting point, the new first device is determined, and the scan line continues to rotate in the second direction, and continuous scanning is performed to identify the new second dividing device until the new second dividing device is no longer connected to the new first device, thereby completing the construction of the DC microgrid in the area.

[0123] Through the above-mentioned implementation mode, the present invention can quickly identify and divide devices through the rotation and direction adjustment of the scanning line, adapt to different device connection relationships and geographical layouts, and ensure the connectivity and integrity of the constructed regional DC microgrid, that is, through dynamic scanning and identification of devices, the complex device network can be effectively divided into multiple regional DC microgrids.

[0124] S4, obtaining the working status of all devices in each regional DC microgrid, selecting a regional DC microgrid based on the working status and establishing a microgrid control strategy.

[0125] It is understandable that the working status of the equipment in each area (such as load, voltage, current, etc.) is obtained and monitored, and based on real-time data analysis, the operation strategy of the equipment in the microgrid is formulated, and a coordination and control strategy is established between the microgrids to achieve efficient utilization and intelligent distribution of energy.

[0126] Through the above implementation methods, a microgrid control strategy is established to optimize the operation of each microgrid, realize energy utilization, reduce carbon emissions, and achieve energy-saving effects.

[0127] In some embodiments, the specific implementation of step S4 (after the two directional scans are completed, the first division device and the second division device are verified, and the line connection network formed by the first division device and the second division device is obtained as a regional DC microgrid) includes: S41, the working status includes the clean energy usage value, the mains energy usage value and the rated load of the equipment.

[0128] It is understandable that the working states of the devices in the microgrid are inconsistent. Therefore, the microgrid division and regulation can be performed based on the numerical values ​​corresponding to the working states of the actual devices.

[0129] Among them, the clean energy usage value is the energy obtained by special equipment from renewable energy (such as solar energy, wind energy, etc.), the municipal power energy usage value is the energy obtained by special equipment from traditional power grids, and the rated load is the maximum load capacity of special equipment under normal operating conditions.

[0130] S42: If there are multiple regional DC microgrids, statistics are collected on the clean energy usage value and the mains energy usage value of each regional DC microgrid according to a preset time sequence.

[0131] It can be understood that, for example, 24 hours a day can be divided into 24 time segments, that is, each hour is a time segment. Since the equipment in different areas works in different time periods, for example, when area 1 and area 2 use the same amount of electricity every day, but area 1 usually uses electricity during the day, while the equipment in area 2 uses electricity at night, the energy equipment in the two areas can supply power to each other in order to achieve grid regulation, and the usage values ​​can be counted according to the preset time sequence to ensure a clear understanding of the energy use of each microgrid, which can be clearly compared in different time periods.

[0132] The preset time sequence is a pre-set time sequence, which can be sorted by hour.

[0133] S43, statistics are collected on the clean energy usage value and the mains energy usage value of the DC microgrid in each region at the corresponding time sequence, and the rated load of the special equipment corresponding to the DC microgrid in each region is calculated.

[0134] It can be understood that in different time sequences, the energy usage of each microgrid is counted and calculated so as to subsequently determine the ratio of clean energy and municipal power energy used by special equipment in the corresponding time period, so as to subsequently regulate the power grid according to the corresponding usage ratio.

[0135] S44, calculating the ratio of the clean energy usage value and the mains energy usage value to the rated load at each time sequence to obtain the clean energy load proportion and the mains energy load proportion.

[0136] It can be understood that the proportion of clean energy load is the proportion of clean energy in the energy used by special equipment in the corresponding time sequence, that is, the ratio of the clean energy usage value to the rated load in each time sequence, and the proportion of municipal power energy load is the proportion of municipal power energy in the energy used by special equipment in the corresponding time sequence, that is, the ratio of the municipal power energy usage value to the rated load.

[0137] It is not difficult to understand that through detailed energy statistics and proportion calculations, the proportion of clean energy and municipal power energy in the total load can be obtained so as to formulate optimization strategies, which can then help optimize energy use and improve overall energy-saving effects.

[0138] S45, selecting a regional DC microgrid based on the clean energy load proportion and the utility power load proportion and establishing an inter-microgrid control strategy.

[0139] It can be understood that according to the proportion of clean energy load and the proportion of municipal power energy load, the performance of each microgrid is evaluated, the microgrid that needs to be optimized and regulated is selected, and the corresponding regulation strategy is formulated, where the regulation strategy may include load adjustment, energy distribution optimization, use of energy storage system, etc.

[0140] It is not difficult to understand that through regulatory strategies, we can reduce dependence on municipal electricity, reduce operating costs, increase the proportion of clean energy in the power grid, and support sustainable development goals.

[0141] In some embodiments, the specific implementation of step S45 (selecting a regional DC microgrid based on the clean energy load proportion and the mains energy load proportion and establishing an inter-microgrid control strategy) includes: S451, grouping each regional DC microgrid into two groups to obtain multiple regional DC microgrid device groups.

[0142] It can be understood that the regional DC microgrids are grouped in pairs to obtain multiple regional DC microgrid device groups, so that the electric energy can be compared and optimized according to the device groups later.

[0143] For example, when area 1 and area 2 are adjacent to each other, 10 devices in area 1 and 20 devices in area 2 can be counted as a regional DC microgrid device group.

[0144] S452, calculate the differentiation coefficients of the clean energy load proportion and the city power energy load proportion of each two regional DC microgrid equipment groups at different time sequences, and obtain the total differentiation coefficient after weighted processing of the differentiation coefficients of the two devices at all time sequences.

[0145] It can be understood that the differences in energy load proportions of different equipment groups at different time sequences are compared, that is, for each pair of equipment groups, the differentiation coefficients of clean energy and municipal power energy load proportions at each time sequence are calculated, and the differentiation coefficients of all time sequences are weighted to obtain the total differentiation coefficient. Through detailed analysis and calculation of the load proportions, it is possible to more accurately identify the equipment groups that need to be regulated.

[0146] The differentiation coefficient is the difference coefficient value of energy load between different devices, and the total differentiation coefficient is the coefficient value after weighted processing of the differentiation coefficients in all time series.

[0147] S453, calculate the total differentiation coefficient by the following formula, in, For the The total differentiation coefficient of the device groups, No. The time series weight value of the time series, For the The clean energy load ratio of the first device in the time series is For the The clean energy load ratio of the second device in the time series, is the clean normalized value, For the The proportion of the mains energy load of the second device in the time series, For the The proportion of the mains energy load of the second device in the time series, It is the normalized value of mains electricity.

[0148] It is understandable that since there may be differences in energy consumption during the day and at night, the time series weight values ​​corresponding to the differentiation coefficient in different time series (time periods) may also be different. Therefore, when calculating the total differentiation coefficient, it is necessary to multiply the differentiation coefficient and the time series weight value under the corresponding time series.

[0149] Among them, when the clean energy load ratio of the first device and the clean energy load ratio of the second device at the same time sequence differ greatly, the differentiation coefficient corresponding to the clean energy The larger the load ratio of the mains energy of the first device is, the larger the difference between the load ratio of the mains energy of the second device is. The larger the value is, and it is normalized so that the sum of the differentiation coefficients corresponding to clean energy can be calculated. This means that at the same time, the types of energy used by different devices are quite different, that is, the larger the differentiation coefficient is, and the larger the total differentiation coefficient obtained by multiplying it with the timing weight value at the corresponding timing is, which means that at the same timing, it is easier for energy devices to complement each other. On the contrary, when the differentiation coefficient is smaller, it means that at the same time, different devices use the same energy, and the same type of energy equipment cannot be better regulated, affecting the operation of the microgrid.

[0150] It is not difficult to understand that the larger the differentiation coefficient is, the easier it is for the corresponding energy equipment to complement each other.

[0151] S454, taking the device group with the largest total differentiation coefficient corresponding to each device as the first device group, if the total differentiation coefficient within the first device group is greater than the standard coefficient, establishing a microgrid control strategy between the corresponding two devices, and establishing a connection in the power supply bus of the green energy device and / or the recycled energy device.

[0152] It can be understood that the first device group is a regional DC microgrid device group with the largest total differentiation coefficient, and the standard coefficient is a coefficient value determined by a preset differentiation standard.

[0153] It is not difficult to understand that the equipment groups that need to be regulated are determined and connected, and connections are established in the power supply bus of green energy equipment and / or recycling energy equipment to optimize energy flow and use.

[0154] For example, among multiple regional DC microgrid equipment groups, the total differentiation coefficient of the equipment group corresponding to the equipment in area 1 and the equipment in area 4 is the largest, which means that the energy consumption of the equipment in the two areas at the same time sequence is quite different. Therefore, a connection line can be established between the two devices to optimize the connection between the devices for energy regulation.

[0155] The present invention also provides a storage medium, in which a computer program is stored. When the computer program is executed by a processor, it is used to implement the methods provided by the various embodiments described above.

[0156] Among them, the storage medium can be a computer storage medium or a communication medium. The communication medium includes any medium that facilitates the transmission of a computer program from one place to another. The computer storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer. For example, the storage medium is coupled to the processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an application-specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). In addition, the ASIC can be located in a user device. Of course, the processor and the storage medium can also exist in a communication device as discrete components. The storage medium can be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0157] The present invention also provides a program product, which includes an execution instruction, which is stored in a storage medium. At least one processor of a device can read the execution instruction from the storage medium, and at least one processor executes the execution instruction so that the device implements the methods provided in the above various embodiments.

[0158] In the above-mentioned terminal or server embodiments, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the present invention may be directly implemented as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0159] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An energy-saving system using green energy and smart microgrid, characterized in that: include: Various energy equipment, including at least green energy equipment, mains energy equipment and special equipment energy recovery equipment; The various energy devices are connected to the special equipment respectively, the green energy device, the mains energy device and the energy recovery device of the special equipment are used to supply power to the special equipment, and the energy recovery device of the special equipment is used to recover energy from the special equipment; A control device, wherein the control device is used to obtain the working status of the energy device, control the recovery energy device to recover energy based on the working status, and control the power supply to special equipment based on the status of the green energy device, the mains energy device and the recovery energy device, or control the electric energy of the green energy device and the recovery energy device to be connected to the mains energy device.

2. The energy-saving system using green energy and smart microgrid according to claim 1 is characterized in that: The green energy equipment includes at least distributed photovoltaic and distributed wind power; The energy recovery equipment at least includes supercapacitor energy storage equipment and distributed energy storage equipment; The energy recovery equipment of the special equipment is based on a single machine with multiple inverters sharing a DC bus or multiple machines sharing a DC bus for energy recovery, and is based on the connected high-efficiency high-power DC conversion device DCDC and supercapacitor energy storage during the energy recovery process; The control device performs regulation and processing of the energy recovery and energy-saving system based on DC protection measurement and control, safety control mechanism, AGC / AVC, meteorological data, EMS and intelligent digital dual-carbon energy management cloud platform.

3. The energy-saving system using green energy and smart microgrid according to claim 1 is characterized in that: The intelligent digital dual-carbon energy management cloud platform performs dual-carbon management through the following steps, specifically including: Constructing an equipment distribution map of a special equipment energy storage type energy recovery and energy saving system, wherein the energy equipment, special equipment and energy recovery equipment have corresponding geographical location information in the equipment distribution map; Construct a corresponding line connection diagram based on the current connection relationship of all energy equipment, special equipment and energy recovery equipment in the equipment distribution diagram; Based on the connection relationship and geographical location information between all devices in the line connection diagram, the corresponding regional DC microgrid is obtained; The working status of all devices in each regional DC microgrid is obtained, and a regional DC microgrid is selected based on the working status and an inter-microgrid control strategy is established.

4. The energy-saving system using green energy and smart microgrid according to claim 3 is characterized in that: The division process based on the connection relationship and geographical location information between all devices in the line connection diagram to obtain the corresponding regional DC microgrid includes: Determine all energy equipment, special equipment and energy recovery equipment in the line connection diagram as one equipment point; The mains energy equipment among all equipment points is regarded as the first equipment point, and the equipment points other than the mains energy equipment among all equipment points is regarded as the second equipment point; Displaying all first equipment points in the line connection diagram in a first preset format, and displaying the connection line between the first equipment point and the second equipment point in the first preset format; Devices and connection lines that are not displayed and processed in the first preset form in the line connection diagram are extracted to obtain a diagram to be divided, and division processing is performed according to the connection relationship and geographical location information of the devices in the diagram to be divided to obtain a corresponding regional DC microgrid.

5. The energy-saving system using green energy and smart microgrid according to claim 4 is characterized in that: The device and connection line that are not displayed and processed in the first preset form in the line connection diagram are extracted to obtain a diagram to be divided, and the division process is performed according to the connection relationship and geographical location information of the devices in the diagram to be divided to obtain the corresponding regional DC microgrid, including: Identify the pixel coordinates of the devices in the to-be-divided graph to obtain the to-be-divided area containing all the devices; Determine the center point of the area to be divided, and obtain the first distance between the center point and each division point within the division line of the area to be divided, and determine the longest first distance as the scanning distance; A corresponding scanning line is established in a preset direction with the center point as the starting point and the scanning distance as the length, and the devices in the divided map are scanned based on the scanning line, and the corresponding regional DC microgrid is obtained by dividing the devices according to their connection relationship and geographical location information.

6. The energy-saving system using green energy and smart microgrid according to claim 5 is characterized in that: The pixel coordinates of the devices in the to-be-divided map are identified to obtain the to-be-divided area containing all the devices, including: Obtain the pixel coordinates of each device in the image to be divided, and determine the maximum horizontal coordinate value, maximum vertical coordinate value, minimum horizontal coordinate value, and minimum vertical coordinate value of all pixel coordinates of all devices; The maximum horizontal coordinate value and the maximum vertical coordinate value are added to the first preset value to obtain a first divided horizontal coordinate value and a first divided vertical coordinate value, and the minimum horizontal coordinate value and the minimum vertical coordinate value are subtracted from the second preset value to obtain a second divided horizontal coordinate value and a second divided vertical coordinate value; In the to-be-divided graph, division lines corresponding to the first division abscissa value, the first division ordinate value, the second division abscissa value and the second division ordinate value are established respectively, and the intersection of the division lines is determined to determine the to-be-divided area in the to-be-divided graph.

7. The energy-saving system using green energy and smart microgrid according to claim 5, characterized in that: The method takes the center point as the starting point and the scanning distance as the length to establish a corresponding scanning line in a preset direction, scans the devices in the to-be-divided diagram based on the scanning line, and divides the devices according to the connection relationship and geographical location information to obtain the corresponding regional DC microgrid, including: Acquire a device that coincides with a pixel point of an initial scan line as a first dividing device, rotate the scan line in a first direction with a center point as a circle center, and acquire a device that coincides with a pixel point of an initial scan line as a second dividing device; If the first dividing device is connected to the second dividing device, the scanning line is rotated again in the corresponding direction with the center point as the center until the second dividing device obtained again is no longer connected to the first dividing device, and the scanning line is reset; After the scan line is reset, the device is rotated in a second direction opposite to the first direction, and the overlapped device acquired by the scan line is acquired again as the second dividing device; If the first dividing device is connected to the second dividing device, the scanning line is rotated again in the corresponding direction with the center point as the center until the second dividing device obtained again is no longer connected to the first dividing device; After the two directional scans are completed, the first division device and the second division device are verified, and the line connection network formed by the first division device and the second division device is used as a regional DC microgrid; The point where the scan is completed when rotating in the second direction is used as the starting point for scanning the scan line again, and a new first device is determined, and the second direction is continued to be rotated to determine a new second division device corresponding to the new corresponding device, until the new second division device is no longer connected to the new first device and then the scanning is stopped to build a regional DC microgrid.

8. The energy-saving system using green energy and smart microgrid according to claim 7 is characterized in that: After the two directional scans are completed, the first division device and the second division device are verified, and the line connection network formed by the first division device and the second division device is used as a regional DC microgrid, including: When verifying the second division device, if it is determined that there is a second division device that is not connected to the first division device, the second division device is highlighted in a second preset form; A line connection network formed by all second dividing devices connected to the first dividing devices is used as a regional DC microgrid.

9. The energy-saving system using green energy and smart microgrid according to claim 3 is characterized in that: The obtaining of the working status of all devices in each regional DC microgrid, selecting a regional DC microgrid based on the working status and establishing a microgrid control strategy includes: The working status includes the clean energy usage value of the equipment, the mains energy usage value and the rated load; If there are multiple regional DC microgrids, the clean energy usage value and the mains energy usage value of each regional DC microgrid are counted according to a preset time sequence; Count the clean energy usage and mains energy usage of each regional DC microgrid at the corresponding time series, and calculate the rated load of the special equipment corresponding to each regional DC microgrid; Calculate the ratio of the clean energy usage value and the mains energy usage value to the rated load at each time sequence to obtain the clean energy load proportion and the mains energy load proportion; Based on the clean energy load proportion and the mains energy load proportion, a regional DC microgrid is selected and an inter-microgrid control strategy is established.

10. The energy-saving system using green energy and smart microgrid according to claim 9, characterized in that: The selecting of regional DC microgrids based on the clean energy load proportion and the mains energy load proportion and establishing a microgrid control strategy includes: Each regional DC microgrid is grouped into two groups to obtain multiple regional DC microgrid device groups; Calculate the differentiation coefficients of the clean energy load proportion and the mains energy load proportion of each two regional DC microgrid equipment groups at different time sequences, and obtain the total differentiation coefficient after weighting the differentiation coefficients of the two equipment at all time sequences; The total differentiation coefficient is calculated by the following formula, in, For the The total differentiation coefficient of the device groups, No. The time series weight value of the time series, For the The clean energy load ratio of the first device in the time series is For the The clean energy load ratio of the second device in the time series, is the clean normalized value, For the The proportion of the mains energy load of the second device in the time series, For the The proportion of the mains energy load of the second device in the time series, is the normalized value of the mains electricity; The device group with the largest total differentiation coefficient corresponding to each device is taken as the first device group. If the total differentiation coefficient within the first device group is greater than the standard coefficient, a microgrid control strategy is established between the corresponding two devices, and a connection is established in the power supply bus of the green energy device and / or the recycled energy device.

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