A resource optimization configuration method and device for a power distribution network station area

Abstract

The application relates to the technical field of power distribution network resource scheduling, and particularly provides a resource optimization configuration method and device for a power distribution network station area, which comprises the following steps: obtaining photovoltaic power generation information and energy storage information of a power distribution station area; and performing power resource configuration on the power distribution network station area based on the photovoltaic power generation information and the energy storage information. The technical scheme provided by the application can improve the utilization rate and consumption rate of different types of distributed resources, and can realize the resource optimization configuration of power distribution networks of various voltage grades, different capacity lines and power supply station areas.

Description

Technical Field

[0001] This invention relates to the field of power distribution network resource scheduling technology, specifically to a method and apparatus for optimizing resource allocation in a power distribution network area. Background Technology

[0002] With the popularization of new energy vehicles and the rapid development of distributed power sources, power distribution networks are facing increasing power supply pressure. Therefore, exploring the travel patterns and usage characteristics of electric vehicles to analyze and manage the power quality of power distribution networks has become a research hotspot.

[0003] In recent years, the analysis and prediction of electric vehicle characteristics have mostly focused on travel patterns and considered only a single charging load type, without fully considering the impact of their dynamic characteristics on the communication security, reliability, and interactive friendliness of the distribution network. Research on the operational issues of AC / DC charging loads connected to the distribution network has largely focused on DC distribution harmonic mitigation and capacity assessment, with little attention paid to power quality interaction processes and power control between multiple charging piles and between charging piles and the network. To address the distribution network's capacity and power quality issues related to large-scale charging loads, research is needed on flexible regulation and power quality management technologies that consider the prediction of charging load dynamic characteristics. Currently, related research is still in its early stages and cannot provide effective equipment support and technical decision-making support for the flexible regulation of large-scale charging loads connected to the distribution network. Furthermore, although research has been conducted on resource aggregation and interactive regulation technologies based on DC flexible networking equipment, the consideration of integrating and allocating resources and supporting the optimized operation, power control, and active support of distribution microgrid systems using flexible DC power supply equipment is not yet comprehensive. The V2G technology for electric vehicles and the distribution network support capabilities for distributed new energy still require in-depth research. While ensuring the power balance and economy of the distribution network, flexible regulation of charging load can improve power quality. The scale of electric vehicle development determines the overall characteristics of electric vehicle charging load. With the increase in charging load penetration, the electricity consumption characteristics of charging loads are diversified, the access methods are different, and the charging power is not uniform. Large-scale access leads to highly complex changes in grid connection current and power, exacerbating voltage fluctuations in the distribution network. Different access levels and concentration degrees of charging loads also affect the power quality of the distribution network. Traditional governance methods are difficult to meet cost requirements. While increasing investment, multiple devices cannot perform power quality control completely synchronously. There is a coupling effect between governance devices, which means that the compensation effect of one device can be affected by other devices. On the other hand, current research on resource optimization allocation strategies for distribution network areas with active support charging facilities mainly focuses on distribution network steady-state operation control models and strategies. Further research is needed on issues with short time scales and high dynamics, such as short-term faults and resource optimization allocation strategies for different operating conditions of the distribution network. Therefore, research on resource optimization allocation strategies for distribution network areas based on active support charging facilities is of great significance for improving the power supply stability and emergency response level of the distribution network.

[0004] To compensate for the shortcomings of large-scale centralized power generation and transmission, distributed energy generation and microgrid systems have gained increasing attention in recent years. Compared with traditional power grid systems, microgrids offer greater flexibility and dynamism in terms of system structure and power generation and consumption. Therefore, to achieve microgrid controllability, a timely and dynamic monitoring system for all microgrid devices and target quantities is essential to minimize the impact of microgrid integration on the power grid. Multi-port AC / DC power exchange equipment has become a key component connecting various resources within a microgrid, and its supporting energy management and monitoring systems have gradually become a research hotspot. Mobile multi-port AC / DC self-organizing network monitoring systems can realize real-time energy scheduling and management within microgrids and occupy a core position in microgrids. The monitoring system must ensure the coordinated operation of all important execution units, monitor real-time data from each access port, and report various faults occurring in the system, ultimately optimizing the overall performance of the microgrid connected to the AC / DC power exchange device.

[0005] However, this technology only targets a single distribution network area, focusing on monitoring and operation services to meet different power distribution needs. Due to the complexity and diversity of new distribution system scenarios, and the high heterogeneity of existing distributed sources and loads with varying grid-connected equipment standards, existing technologies lack consideration for supporting short-term operation of distribution network areas / lines with multiple voltage and capacity levels. Furthermore, they lack the resource optimization and management capabilities to adapt to the flexible access and friendly interaction of various distributed energy sources. Summary of the Invention

[0006] To overcome the above-mentioned shortcomings, this invention proposes a method and apparatus for optimizing resource allocation in a power distribution network area.

[0007] Firstly, a method for optimizing resource allocation in a distribution network area is provided, the method comprising:

[0008] Obtain photovoltaic power generation and energy storage information from the connected distribution transformer area;

[0009] Power resources are allocated to the distribution network area based on the photovoltaic power generation information and energy storage information.

[0010] Preferably, the step of allocating power resources to the distribution network area based on the photovoltaic power generation information and energy storage information includes:

[0011] When the photovoltaic power generation exceeds the absorption capacity of the charging stations and energy storage within the distribution area, the photovoltaic power generation will supply power to the DC and AC loads of the charging stations within the distribution area, and the energy storage devices within the distribution area will be activated for charging.

[0012] Furthermore, after supplying power to the DC and AC loads of the charging station within the distribution transformer area via photovoltaic power generation and activating the energy storage device within the distribution transformer area for charging, the process includes:

[0013] Photovoltaic power generation can be fed back to the grid through the primary equipment of the distribution substation, or the photovoltaic system connected to the distribution substation can be shut down.

[0014] Preferably, the step of allocating power resources to the distribution network area based on the photovoltaic power generation information and energy storage information includes:

[0015] When the photovoltaic power generation and the current energy storage capacity of the energy storage device in the distribution area are equal to the absorption capacity of the charging station in the distribution area, the photovoltaic power generation and energy storage device will supply power to the DC load and AC load of the charging station in the distribution area, and the energy storage device in the distribution area will be activated to implement the load power supply stabilization strategy.

[0016] Among them, photovoltaic power generation has a higher priority for supplying power to the DC load of charging stations within the distribution substation area than photovoltaic power generation has a higher priority for supplying power to the AC load of charging stations within the distribution substation area.

[0017] Preferably, the step of allocating power resources to the distribution network area based on the photovoltaic power generation information and energy storage information includes:

[0018] When the photovoltaic power generation and the current energy storage capacity of the energy storage device in the distribution area are less than the absorption capacity of the charging station in the distribution area, the power is obtained from the grid through the primary equipment of the distribution area, and the power is supplied to the DC load and AC load of the charging station in the distribution area through photovoltaic power generation, energy storage device and grid power.

[0019] Among them, photovoltaic power generation has a higher priority for supplying power to the DC load of charging stations within the distribution substation area than photovoltaic power generation has a higher priority for supplying power to the AC load of charging stations within the distribution substation area.

[0020] Preferably, the step of allocating power resources to the distribution network area based on the photovoltaic power generation information and energy storage information includes:

[0021] When the photovoltaic system is not generating electricity, the power is obtained from the grid through the primary equipment of the distribution substation, and the DC and AC loads of the charging station in the distribution substation are supplied through the active support charging facilities, energy storage devices and grid power in the charging station.

[0022] Secondly, a resource optimization and allocation device for a distribution network area is provided, the resource optimization and allocation device for the distribution network area comprising:

[0023] The acquisition module is used to acquire photovoltaic power generation information and energy storage information of the connected distribution radio area;

[0024] The configuration module is used to configure power resources for the distribution network area based on the photovoltaic power generation information and energy storage information.

[0025] Preferably, the configuration module is specifically used for:

[0026] When the photovoltaic power generation exceeds the absorption capacity of the charging stations and energy storage within the distribution area, the photovoltaic power generation will supply power to the DC and AC loads of the charging stations within the distribution area, and the energy storage devices within the distribution area will be activated for charging.

[0027] Furthermore, after supplying power to the DC and AC loads of the charging station within the distribution transformer area via photovoltaic power generation and activating the energy storage device within the distribution transformer area for charging, the process includes:

[0028] Photovoltaic power generation can be fed back to the grid through the primary equipment of the distribution substation, or the photovoltaic system connected to the distribution substation can be shut down.

[0029] Preferably, the configuration module is specifically used for:

[0030] When the photovoltaic power generation and the current energy storage capacity of the energy storage device in the distribution area are equal to the absorption capacity of the charging station in the distribution area, the photovoltaic power generation and energy storage device will supply power to the DC load and AC load of the charging station in the distribution area, and the energy storage device in the distribution area will be activated to implement the load power supply stabilization strategy.

[0031] Among them, photovoltaic power generation has a higher priority for supplying power to the DC load of charging stations within the distribution substation area than photovoltaic power generation has a higher priority for supplying power to the AC load of charging stations within the distribution substation area.

[0032] Preferably, the configuration module is specifically used for:

[0033] When the photovoltaic power generation and the current energy storage capacity of the energy storage device in the distribution area are less than the absorption capacity of the charging station in the distribution area, the power is obtained from the grid through the primary equipment of the distribution area, and the power is supplied to the DC load and AC load of the charging station in the distribution area through photovoltaic power generation, energy storage device and grid power.

[0034] Among them, photovoltaic power generation has a higher priority for supplying power to the DC load of charging stations within the distribution substation area than photovoltaic power generation has a higher priority for supplying power to the AC load of charging stations within the distribution substation area.

[0035] Preferably, the configuration module is specifically used for:

[0036] When the photovoltaic system is not generating electricity, the power is obtained from the grid through the primary equipment of the distribution substation, and the DC and AC loads of the charging station in the distribution substation are supplied through the active support charging facilities, energy storage devices and grid power in the charging station.

[0037] Thirdly, a computer device is provided, comprising: one or more processors;

[0038] The processor is used to execute one or more programs;

[0039] When the one or more programs are executed by the one or more processors, the resource optimization configuration method for the distribution network area is implemented.

[0040] Fourthly, a computer-readable storage medium is provided, on which a computer program is stored, wherein when the computer program is executed, the resource optimization allocation method for the distribution network area is implemented.

[0041] The above-described technical solutions of the present invention have at least one or more of the following beneficial effects:

[0042] This invention provides a method and apparatus for optimizing resource allocation in a distribution network area, comprising: acquiring photovoltaic power generation information and energy storage information of the connected distribution network area; and allocating power resources to the distribution network area based on the photovoltaic power generation information and energy storage information. The technical solution provided by this invention, while meeting local needs, rationally utilizes the capacity of the distribution area, avoids over-limitation problems, and achieves dynamic balance control between the power grid and the distribution area load through optimized scheduling of distributed resources. Inter-distribution area mutual assistance is not considered at this stage; if mutual assistance equipment is subsequently planned to be connected to this station, it will be treated as load. Attached Figure Description

[0043] Figure 1 This is a schematic flowchart of the main steps of the resource optimization allocation method for distribution network areas according to an embodiment of the present invention. Detailed Implementation

[0044] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0045] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] As disclosed in the background section, with the popularization of new energy vehicles and the rapid development of distributed power sources, power distribution networks are facing increasing power supply pressure. Therefore, exploring the travel patterns and usage characteristics of electric vehicles to analyze and manage the power quality of power distribution networks has become a research hotspot.

[0047] In recent years, the analysis and prediction of electric vehicle characteristics have mostly focused on travel patterns and considered only a single charging load type, without fully considering the impact of their dynamic characteristics on the communication security, reliability, and interactive friendliness of the distribution network. Research on the operational issues of AC / DC charging loads connected to the distribution network has largely focused on DC distribution harmonic mitigation and capacity assessment, with little attention paid to power quality interaction processes and power control between multiple charging piles and between charging piles and the network. To address the distribution network's capacity and power quality issues related to large-scale charging loads, research is needed on flexible regulation and power quality management technologies that consider the prediction of charging load dynamic characteristics. Currently, related research is still in its early stages and cannot provide effective equipment support and technical decision-making support for the flexible regulation of large-scale charging loads connected to the distribution network. Furthermore, although research has been conducted on resource aggregation and interactive regulation technologies based on DC flexible networking equipment, the consideration of integrating and allocating resources and supporting the optimized operation, power control, and active support of distribution microgrid systems using flexible DC power supply equipment is not yet comprehensive. The V2G technology for electric vehicles and the distribution network support capabilities for distributed new energy still require in-depth research. While ensuring the power balance and economy of the distribution network, flexible regulation of charging load can improve power quality. The scale of electric vehicle development determines the overall characteristics of electric vehicle charging load. With the increase in charging load penetration, the electricity consumption characteristics of charging loads are diversified, the access methods are different, and the charging power is not uniform. Large-scale access leads to highly complex changes in grid connection current and power, exacerbating voltage fluctuations in the distribution network. Different access levels and concentration degrees of charging loads also affect the power quality of the distribution network. Traditional governance methods are difficult to meet cost requirements. While increasing investment, multiple devices cannot perform power quality control completely synchronously. There is a coupling effect between governance devices, which means that the compensation effect of one device can be affected by other devices. On the other hand, current research on resource optimization allocation strategies for distribution network areas with active support charging facilities mainly focuses on distribution network steady-state operation control models and strategies. Further research is needed on issues with short time scales and high dynamics, such as short-term faults and resource optimization allocation strategies for different operating conditions of the distribution network. Therefore, research on resource optimization allocation strategies for distribution network areas based on active support charging facilities is of great significance for improving the power supply stability and emergency response level of the distribution network.

[0048] To compensate for the shortcomings of large-scale centralized power generation and transmission, distributed energy generation and microgrid systems have gained increasing attention in recent years. Compared with traditional power grid systems, microgrids offer greater flexibility and dynamism in terms of system structure and power generation and consumption. Therefore, to achieve microgrid controllability, a timely and dynamic monitoring system for all microgrid devices and target quantities is essential to minimize the impact of microgrid integration on the power grid. Multi-port AC / DC power exchange equipment has become a key component connecting various resources within a microgrid, and its supporting energy management and monitoring systems have gradually become a research hotspot. Mobile multi-port AC / DC self-organizing network monitoring systems can realize real-time energy scheduling and management within microgrids and occupy a core position in microgrids. The monitoring system must ensure the coordinated operation of all important execution units, monitor real-time data from each access port, and report various faults occurring in the system, ultimately optimizing the overall performance of the microgrid connected to the AC / DC power exchange device.

[0049] However, this technology only targets a single distribution network area, focusing on monitoring and operation services to meet different power distribution needs. Due to the complexity and diversity of new distribution system scenarios, and the high heterogeneity of existing distributed sources and loads with varying grid-connected equipment standards, existing technologies lack consideration for supporting short-term operation of distribution network areas / lines with multiple voltage and capacity levels. Furthermore, they lack the resource optimization and management capabilities to adapt to the flexible access and friendly interaction of various distributed energy sources.

[0050] To address the aforementioned issues, this invention provides a method and apparatus for optimizing resource allocation in a distribution network area, comprising: acquiring photovoltaic power generation information and energy storage information of the connected distribution network area; and allocating power resources to the distribution network area based on the photovoltaic power generation information and energy storage information. The technical solution provided by this invention, while meeting local needs, rationally utilizes the capacity of the distribution area, avoids over-limitation issues, and achieves dynamic balance control between the power grid and the distribution area load through optimized scheduling of distributed resources. Inter-distribution area mutual assistance is not considered at this stage; if mutual assistance equipment is subsequently planned to be connected to this station, it will be treated as load.

[0051] The above plan will be explained in detail below.

[0052] Example 1

[0053] See appendix Figure 1 , Figure 1 This is a schematic flowchart illustrating the main steps of a resource optimization allocation method for a distribution network area according to an embodiment of the present invention. Figure 1 As shown, the resource optimization allocation method for distribution network areas in this embodiment of the invention mainly includes the following steps:

[0054] Step S101: Obtain photovoltaic power generation information and energy storage information of the connected distribution substation;

[0055] Power resources are allocated to the distribution network area based on the photovoltaic power generation information and energy storage information.

[0056] In this embodiment, the allocation of power resources for the distribution network area based on the photovoltaic power generation information and energy storage information includes:

[0057] When the photovoltaic power generation exceeds the absorption capacity of the charging stations and energy storage within the distribution area, the photovoltaic power generation will supply power to the DC and AC loads of the charging stations within the distribution area, and the energy storage devices within the distribution area will be activated for charging.

[0058] In one embodiment, after supplying power to the DC and AC loads of the charging station within the distribution transformer area via photovoltaic power generation and activating the energy storage device within the distribution transformer area for charging, the process includes:

[0059] Photovoltaic power generation can be fed back to the grid through the primary equipment of the distribution substation, or the photovoltaic system connected to the distribution substation can be shut down.

[0060] In one specific implementation, when the photovoltaic power generation far exceeds the local load demand and exceeds the absorption capacity of energy storage and the DC load within the station:

[0061] 1. Prioritize local consumption: Excess electricity from the photovoltaic system is first supplied to DC loads within the station, such as charging piles, to meet their charging needs. If the DC load demand is met, the remaining electricity will flow to energy storage devices.

[0062] 2. Energy storage to supplement consumption: If there is still surplus photovoltaic power and the energy storage is not full, the energy storage device will continue to consume the excess power to help balance photovoltaic output and local demand.

[0063] 3. Grid Feedback: When photovoltaic power is in excess and the energy storage is fully loaded, the system feeds the remaining power back to the grid through the primary equipment in the distribution area to supply other AC loads in the distribution area.

[0064] In this scenario, the control strategy prioritizes local consumption of photovoltaic power to minimize grid impact and achieves load balancing across distribution areas through a gradual transmission process. If photovoltaic power exceeds its limits, the system will issue an alarm or restrict photovoltaic output to ensure grid stability requirements are met.

[0065] In this embodiment, the allocation of power resources for the distribution network area based on the photovoltaic power generation information and energy storage information includes:

[0066] When the photovoltaic power generation and the current energy storage capacity of the energy storage device in the distribution area are equal to the absorption capacity of the charging station in the distribution area, the photovoltaic power generation and energy storage device will supply power to the DC load and AC load of the charging station in the distribution area, and the energy storage device in the distribution area will be activated to implement the load power supply stabilization strategy.

[0067] Among them, photovoltaic power generation has a higher priority for supplying power to the DC load of charging stations within the distribution substation area than photovoltaic power generation has a higher priority for supplying power to the AC load of charging stations within the distribution substation area.

[0068] In one specific implementation, when the output of the photovoltaic power generation and energy storage system just meets the total demand of the DC and AC loads within the station, that is, when photovoltaic and energy storage are self-sufficient:

[0069] 1. Photovoltaic priority power supply: Photovoltaic power generation provides power to DC loads within the station, while also meeting some AC load requirements.

[0070] 2. Energy storage supplementation and regulation: If the photovoltaic output fluctuates slightly, the energy storage system will supplement to ensure stable power supply to the load.

[0071] 3. No grid exchange: In this balanced state, there is no need to exchange power with the grid. The load of the distribution area is fully supported by photovoltaic and energy storage, which reduces the pressure on the grid.

[0072] The control strategy in this scenario achieves self-sufficiency for the distribution area, avoids frequent power exchanges, and prevents over-limit issues. Photovoltaics and energy storage play a crucial role in stabilizing the load within the substation, ensuring the reliability and stability of power supply.

[0073] In this embodiment, the allocation of power resources for the distribution network area based on the photovoltaic power generation information and energy storage information includes:

[0074] When the photovoltaic power generation and the current energy storage capacity of the energy storage device in the distribution area are less than the absorption capacity of the charging station in the distribution area, the power is obtained from the grid through the primary equipment of the distribution area, and the power is supplied to the DC load and AC load of the charging station in the distribution area through photovoltaic power generation, energy storage device and grid power.

[0075] Among them, photovoltaic power generation has a higher priority for supplying power to the DC load of charging stations within the distribution substation area than photovoltaic power generation has a higher priority for supplying power to the AC load of charging stations within the distribution substation area.

[0076] In one specific implementation, when photovoltaic power generation is insufficient but can still meet part of the DC load demand:

[0077] 1. Photovoltaic priority power supply: Photovoltaic power generation first supplies DC load charging piles, reducing dependence on other power sources.

[0078] 2. Energy storage for smooth replenishment: Due to insufficient photovoltaic power, energy storage equipment can promptly replenish the shortfall to ensure the stable operation of the load within the station.

[0079] 3. Small-scale grid support: If the energy storage capacity is insufficient to provide continuous power, a small amount of power is obtained from the grid through the primary equipment in the distribution area to ensure the normal power supply of DC and AC loads.

[0080] The control strategy at this time prioritizes photovoltaic power consumption and energy storage regulation to reduce the need for grid support and maintain low dependence on the grid. Through this regulation mechanism, the capacity of the distribution area is effectively utilized.

[0081] When photovoltaic power generation is far from sufficient to meet the basic needs of the station, and can only provide a very small portion of the load demand:

[0082] 1. Limited power supply from photovoltaic systems: The small amount of electricity generated by photovoltaic systems is prioritized for key DC loads such as charging piles, but can only meet a small portion of the demand.

[0083] 2. Energy storage as the main power source: In the case of a significant shortage of photovoltaic power, energy storage becomes the main source of power to supply DC and AC loads within the station.

[0084] 3. Large-scale grid support: If the energy storage capacity is nearly exhausted or unable to support the load demand on its own, the system will draw power from the grid on a large scale to ensure the normal power supply to the load in the distribution area.

[0085] In this scenario, the control strategy centers on energy storage as the primary source of power, with grid support used to balance insufficient demand. While this increases the utilization of transformer substation capacity, appropriate grid support mitigates voltage fluctuations and overload risks.

[0086] In this embodiment, the allocation of power resources for the distribution network area based on the photovoltaic power generation information and energy storage information includes:

[0087] When the photovoltaic system is not generating electricity, the power is obtained from the grid through the primary equipment of the distribution substation, and the DC and AC loads of the charging station in the distribution substation are supplied through the active support charging facilities, energy storage devices and grid power in the charging station.

[0088] In one specific implementation, when the environmental conditions are nighttime or rainy, and the photovoltaic system is not generating electricity:

[0089] 1. Comprehensive Energy Storage Support: As the sole local power source, the energy storage system prioritizes supporting DC loads within the station while simultaneously supplying AC loads, ensuring uninterrupted power supply.

[0090] 2. Full grid support: If the energy storage capacity is insufficient, the system will make every effort to obtain power from the grid and achieve voltage regulation and power distribution through the primary equipment in the distribution area to meet the needs of all loads; or it will supply power to the loads in the station through active support charging facilities such as V2G piles in the station, or, under sufficient conditions, it will send power back to the grid to support voltage and frequency stability.

[0091] In the absence of solar power, energy storage takes priority in supplying electricity, with the power grid providing supplementary support, forming a stable power supply link. In this way, the system avoids dependence on a single power source and reduces load fluctuations caused by the lack of solar power.

[0092] In summary, while meeting local needs, the capacity of the distribution transformers should be utilized rationally to avoid over-limitation issues. Dynamic balance control between the power grid and the distribution transformer load can be achieved through optimized scheduling of distributed resources. Inter-distribution transformer mutual assistance is not considered at this time; however, any future plans to connect mutual assistance equipment to this station will treat it as load.

[0093] Example 2

[0094] Based on the same inventive concept, the present invention also provides a resource optimization and allocation device for a distribution network area, the resource optimization and allocation device for the distribution network area comprising:

[0095] The acquisition module is used to acquire photovoltaic power generation information and energy storage information of the connected distribution radio area;

[0096] The configuration module is used to configure power resources for the distribution network area based on the photovoltaic power generation information and energy storage information.

[0097] Preferably, the configuration module is specifically used for:

[0098] When the photovoltaic power generation exceeds the absorption capacity of the charging stations and energy storage within the distribution area, the photovoltaic power generation will supply power to the DC and AC loads of the charging stations within the distribution area, and the energy storage devices within the distribution area will be activated for charging.

[0099] Furthermore, after supplying power to the DC and AC loads of the charging station within the distribution transformer area via photovoltaic power generation and activating the energy storage device within the distribution transformer area for charging, the process includes:

[0100] Photovoltaic power generation can be fed back to the grid through the primary equipment of the distribution substation, or the photovoltaic system connected to the distribution substation can be shut down.

[0101] Preferably, the configuration module is specifically used for:

[0102] When the photovoltaic power generation and the current energy storage capacity of the energy storage device in the distribution area are equal to the absorption capacity of the charging station in the distribution area, the photovoltaic power generation and energy storage device will supply power to the DC load and AC load of the charging station in the distribution area, and the energy storage device in the distribution area will be activated to implement the load power supply stabilization strategy.

[0103] Among them, photovoltaic power generation has a higher priority for supplying power to the DC load of charging stations within the distribution substation area than photovoltaic power generation has a higher priority for supplying power to the AC load of charging stations within the distribution substation area.

[0104] Preferably, the configuration module is specifically used for:

[0105] When the photovoltaic power generation and the current energy storage capacity of the energy storage device in the distribution area are less than the absorption capacity of the charging station in the distribution area, the power is obtained from the grid through the primary equipment of the distribution area, and the power is supplied to the DC load and AC load of the charging station in the distribution area through photovoltaic power generation, energy storage device and grid power.

[0106] Among them, photovoltaic power generation has a higher priority for supplying power to the DC load of charging stations within the distribution substation area than photovoltaic power generation has a higher priority for supplying power to the AC load of charging stations within the distribution substation area.

[0107] Preferably, the configuration module is specifically used for:

[0108] When the photovoltaic system is not generating electricity, the power is obtained from the grid through the primary equipment of the distribution substation, and the DC and AC loads of the charging station in the distribution substation are supplied through the active support charging facilities, energy storage devices and grid power in the charging station.

[0109] Example 3

[0110] Based on the same inventive concept, this invention also provides a computer device, which includes a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement corresponding method flows or corresponding functions, thereby realizing the steps of a resource optimization allocation method for a distribution network area in the above embodiments.

[0111] Example 4

[0112] Based on the same inventive concept, this invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the resource optimization allocation method for a distribution network area in the above embodiments.

[0113] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0114] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0115] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0116] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0117] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for optimizing resource allocation in a distribution network area, characterized in that, The method includes: Obtain photovoltaic power generation and energy storage information from the connected distribution transformer area; Power resources are allocated to the distribution network area based on the photovoltaic power generation information and energy storage information.

2. The method as described in claim 1, characterized in that, The allocation of power resources in the distribution network area based on the photovoltaic power generation information and energy storage information includes: When the photovoltaic power generation exceeds the absorption capacity of the charging stations and energy storage within the distribution area, the photovoltaic power generation will supply power to the DC and AC loads of the charging stations within the distribution area, and the energy storage devices within the distribution area will be activated for charging.

3. The method as described in claim 2, characterized in that, After powering the DC and AC loads of the charging station within the distribution transformer area with photovoltaic power generation and activating the energy storage device within the distribution transformer area for charging, the process includes: Photovoltaic power generation can be fed back to the grid through the primary equipment of the distribution substation, or the photovoltaic system connected to the distribution substation can be shut down.

4. The method as described in claim 1, characterized in that, The allocation of power resources in the distribution network area based on the photovoltaic power generation information and energy storage information includes: When the photovoltaic power generation and the current energy storage capacity of the energy storage device in the distribution area are equal to the absorption capacity of the charging station in the distribution area, the photovoltaic power generation and energy storage device will supply power to the DC load and AC load of the charging station in the distribution area, and the energy storage device in the distribution area will be activated to implement the load power supply stabilization strategy. Among them, photovoltaic power generation has a higher priority for supplying power to the DC load of charging stations within the distribution substation area than photovoltaic power generation has a higher priority for supplying power to the AC load of charging stations within the distribution substation area.

5. The method as described in claim 1, characterized in that, The allocation of power resources in the distribution network area based on the photovoltaic power generation information and energy storage information includes: When the photovoltaic power generation and the current energy storage capacity of the energy storage device in the distribution area are less than the absorption capacity of the charging station in the distribution area, the power is obtained from the grid through the primary equipment of the distribution area, and the power is supplied to the DC load and AC load of the charging station in the distribution area through photovoltaic power generation, energy storage device and grid power. Among them, photovoltaic power generation has a higher priority for supplying power to the DC load of charging stations within the distribution substation area than photovoltaic power generation has a higher priority for supplying power to the AC load of charging stations within the distribution substation area.

6. The method as described in claim 1, characterized in that, The allocation of power resources in the distribution network area based on the photovoltaic power generation information and energy storage information includes: When the photovoltaic system is not generating electricity, the power is obtained from the grid through the primary equipment of the distribution substation, and the DC and AC loads of the charging station in the distribution substation are supplied through the active support charging facilities, energy storage devices and grid power in the charging station.

7. A resource optimization and allocation device for a distribution network area, characterized in that, The device includes: The acquisition module is used to acquire photovoltaic power generation information and energy storage information of the connected distribution radio area; The configuration module is used to configure power resources for the distribution network area based on the photovoltaic power generation information and energy storage information.

8. The apparatus as claimed in claim 7, characterized in that, The configuration module is specifically used for: When the photovoltaic power generation exceeds the absorption capacity of the charging stations and energy storage within the distribution area, the photovoltaic power generation will supply power to the DC and AC loads of the charging stations within the distribution area, and the energy storage devices within the distribution area will be activated for charging.

9. The apparatus as claimed in claim 8, characterized in that, After powering the DC and AC loads of the charging station within the distribution transformer area with photovoltaic power generation and activating the energy storage device within the distribution transformer area for charging, the process includes: Photovoltaic power generation can be fed back to the grid through the primary equipment of the distribution substation, or the photovoltaic system connected to the distribution substation can be shut down.

10. The apparatus as claimed in claim 7, characterized in that, The configuration module is specifically used for: When the photovoltaic power generation and the current energy storage capacity of the energy storage device in the distribution area are equal to the absorption capacity of the charging station in the distribution area, the photovoltaic power generation and energy storage device will supply power to the DC load and AC load of the charging station in the distribution area, and the energy storage device in the distribution area will be activated to implement the load power supply stabilization strategy. Among them, photovoltaic power generation has a higher priority for supplying power to the DC load of charging stations within the distribution substation area than photovoltaic power generation has a higher priority for supplying power to the AC load of charging stations within the distribution substation area.

11. The apparatus as claimed in claim 7, characterized in that, The configuration module is specifically used for: When the photovoltaic power generation and the current energy storage capacity of the energy storage device in the distribution area are less than the absorption capacity of the charging station in the distribution area, the power is obtained from the grid through the primary equipment of the distribution area, and the power is supplied to the DC load and AC load of the charging station in the distribution area through photovoltaic power generation, energy storage device and grid power. Among them, photovoltaic power generation has a higher priority for supplying power to the DC load of charging stations within the distribution substation area than photovoltaic power generation has a higher priority for supplying power to the AC load of charging stations within the distribution substation area.

12. The apparatus as claimed in claim 7, characterized in that, The configuration module is specifically used for: When the photovoltaic system is not generating electricity, the power is obtained from the grid through the primary equipment of the distribution substation, and the DC and AC loads of the charging station in the distribution substation are supplied through the active support charging facilities, energy storage devices and grid power in the charging station.

13. A computer device, characterized in that, include: One or more processors; The processor is used to execute one or more programs; When the one or more programs are executed by the one or more processors, the resource optimization allocation method for distribution network areas as described in any one of claims 1 to 6 is implemented.

14. A computer-readable storage medium, characterized in that, It contains a computer program, which, when executed, implements the resource optimization allocation method for distribution network areas as described in any one of claims 1 to 6.

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