New energy and energy storage collaborative black start method and system based on distributed consensus

Abstract

This invention provides a black-start method and system for coordinated new energy and energy storage based on distributed consensus, relating to the field of new energy technology. The method includes: acquiring node voltage information from multiple voltage monitoring nodes in real time, and identifying the power supply status information on multiple branches based on the node voltage information; if the power supply status information on the target branch is a power outage, sending a black-start ready command to multiple new energy storage units; acquiring energy storage power supply information from multiple storage units, and generating recovery capability parameters based on the energy storage power supply information; and generating a preferred power supply path for the target branch in a preset urban power supply data map based on the recovery capability parameters corresponding to the energy storage power supply information. This application can handle emergency power supply within its jurisdiction, enabling full utilization of the energy storage units of multiple distributed energy storage units and reducing economic losses caused by power outages.

Description

Technical Field

[0001] This invention relates to the field of new energy technology, and more specifically, to a black-start method and system for the coordinated development of new energy and energy storage based on distributed consensus. Background Technology

[0002] In recent years, with the interconnection of large power grids and the increasingly close links between regional power grids, power outages can easily lead to cascading failures, expanding the scale of outages and exacerbating social losses. Furthermore, with the continuous increase in the penetration rate of new energy sources, the dynamic maintenance of power systems is becoming increasingly complex.

[0003] A circuit fault in a power distribution system can cause a sudden voltage drop, affecting the operation of multiple devices at the load end. A voltage drop caused by a fault in a power distribution system can manifest in at least two states: a voltage dip and a complete power outage. Once it is determined that the power distribution system is in a power outage state, a backup unit is needed to maintain normal power supply to a portion of the load for a period of time to mitigate the damage caused by the power outage.

[0004] Currently, distributed renewable energy devices are typically equipped with energy storage battery packs. This serves two purposes: firstly, to facilitate the timely storage of electricity generated by these devices; and secondly, to act as energy storage units, effectively reducing economic losses caused by power outages. However, because the energy storage battery packs of distributed renewable energy devices usually only supply power to specific units, their utilization efficiency is low during power outages. Summary of the Invention

[0005] In order to make full use of distributed energy storage units and reduce economic losses caused by power outages, this application provides a new energy and energy storage collaborative black start method and system based on distributed consensus.

[0006] Firstly, this application provides a black-start method for the coordinated development of new energy and energy storage based on distributed consensus, employing the following technical solution: A black-start method for coordinated development of new energy and energy storage based on distributed consensus, the method comprising: The node voltage information fed back by multiple voltage monitoring nodes is acquired in real time, and the power supply status information on multiple branches is identified based on the node voltage information. If the power supply status information on the target branch is in a power failure state, then send a black start ready command to multiple new energy storage units. Obtain energy storage power supply information of multiple storage units, and generate recovery capability parameters based on the energy storage power supply information; Based on the recovery capability parameters corresponding to the energy storage power supply information, a preferred power supply path for the target branch is generated in a preset urban power supply data map.

[0007] Optionally, identifying the power supply status information on multiple branches based on the node voltage information includes: Based on the voltage drop duration updated in real time in the power supply status information and the preset voltage drop duration threshold, the power supply status information of the target branch is divided into power outage state or voltage sag state.

[0008] Optionally, generating recovery capability parameters based on the energy storage power supply information includes: Based on the current state of charge and the preset state of charge threshold in the energy storage power supply information, multiple candidate energy storage units are selected. Based on the current state of charge and available power in the candidate energy storage power supply information corresponding to multiple candidate energy storage units, and the preset weighting coefficients, the recovery capability parameters corresponding to the energy storage power supply information are calculated and generated.

[0009] Optionally, the calculation formula for generating the recovery capability parameter is as follows: ; in, For recovery capability parameters, The current state of charge of the candidate energy storage unit. The available power of the candidate energy storage unit. and These are the weighting coefficients, and .

[0010] Optionally, generating the preferred power supply path for the target branch in a preset urban power supply data map based on the recovery capability parameters corresponding to the energy storage power supply information includes: The following steps are repeated until all of the candidate energy storage units have established corresponding preferred power supply paths: Based on multiple recovery capability parameters, a candidate energy storage data table is generated by sorting multiple candidate energy storage units. Based on the preset power supply priority of multiple loads to be powered on the target branch, the initial power supply loads are selected, and the power supply requirements of the initial power supply loads are obtained. Based on the power demand of the initial power supply load and the candidate energy storage data table, a preferred power supply path for the initial power supply load is generated, and based on the constructed candidate energy storage data table and the corresponding load to be powered on the target branch.

[0011] Optionally, generating the preferred power supply path for the initial power supply load based on the power supply requirements of the initial power supply load and the candidate energy storage data table includes: Based on the power demand information of the initial power supply load and the preset power outage duration, a target power supply capacity is generated; Based on the energy storage power supply information of the multiple candidate energy storage units, the energy storage capacity of the multiple candidate energy storage units is calculated and generated; Based on the target power supply and the energy storage capacity of the multiple candidate energy storage units, one or more target candidate energy storage units are matched in the candidate energy storage data table, and an optimal power supply path is established between the initial power supply load and the target candidate energy storage units.

[0012] Secondly, this application provides a new energy and energy storage synergistic black start system, which adopts the following technical solution: A new energy and energy storage synergistic black start system, the system including multiple new energy storage units and a black start management terminal, the black start management terminal including; The information acquisition module is used to acquire node voltage information fed back by multiple voltage monitoring nodes in real time, and to identify the power supply status information on multiple branches based on the multiple node voltage information. If the power supply status information on the target branch is in a power failure state, the black start ready operation module sends a black start ready command to multiple new energy storage units. The information acquisition module is used to acquire energy storage power supply information of multiple storage units and generate recovery capability parameters based on the energy storage power supply information; The power supply path construction module is used to generate the preferred power supply path of the target branch in a preset urban power supply data map based on the recovery capability parameters corresponding to the energy storage power supply information.

[0013] Thirdly, this application provides a black-boot management terminal, which adopts the following technical solution: A black-start management terminal includes a processor and a memory. The memory stores at least one instruction, at least one program, a code set, or an instruction set. The at least one instruction, the at least one program, the code set, or the instruction set are loaded and executed by the processor to realize the processing of the black-start management terminal in the new energy and energy storage collaborative black-start method based on distributed consensus as described in the first aspect.

[0014] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium storing at least one instruction, at least one program, a code set, or an instruction set, wherein the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by a processor to implement the processing of the black-start management terminal in the new energy and energy storage collaborative black-start method based on distributed consensus as described in the first aspect.

[0015] In summary, this application includes at least one of the following beneficial technical effects: In this application, the power supply status of multiple branches is first identified by the duration of voltage drop on multiple branches. When the target branch is identified as being out of power, the energy storage power supply information of multiple energy storage units in the jurisdiction is first obtained. Then, the energy storage power supply information is used to adjust the multiple energy storage units to supply power to multiple loads waiting to be powered on the target branch. This enables the handling of emergency power supply within the jurisdiction, allowing the energy storage units of multiple distributed energy storage units to be fully utilized and reducing the economic losses caused by power outages. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a structural block diagram of a new energy and energy storage synergistic black start system provided in an embodiment of this application.

[0018] Figure 2 This is a flowchart illustrating a new energy and energy storage collaborative black start method based on distributed consensus provided in an embodiment of this application.

[0019] Figure 3 This is a schematic diagram of a process for constructing a preferred power supply path provided in an embodiment of this application. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the following will be described in conjunction with the appendix. Figure 1-3 The embodiments of the present invention will be described in further detail below.

[0021] This application provides a new energy and energy storage collaborative black start method based on distributed consensus. The method can be applied to a new energy and energy storage collaborative black start system. The framework structure of the new energy and energy storage collaborative black start system can be as follows: Figure 1 As shown, the new energy and energy storage collaborative black start system can be composed of multiple distributed new energy energy storage units and black start management terminals. The main body executing this method can be the black start management terminal in the new energy and energy storage collaborative black start system, and it is assisted by multiple distributed new energy energy storage units.

[0022] The following will describe the specific implementation methods. Figure 2 The processing flow shown is explained in detail below: Step S101: Obtain node voltage information fed back by multiple voltage monitoring nodes in real time, and identify the power supply status information on multiple branches based on the multiple node voltage information.

[0023] During implementation, the black-start management terminal obtains node voltage information from multiple branch voltage monitoring nodes in real time, including the voltage values ​​on the branch.

[0024] The black-start management terminal uses voltage information from multiple nodes to determine the power supply status of multiple branches.

[0025] Specifically, in step S101, the following processing steps also exist, and the operation flow is as follows: Based on the real-time updated voltage drop duration in the power supply status information and the preset voltage drop duration threshold, the power supply status information of the target branch is divided into power outage state or voltage sag state.

[0026] In practice, we will take the voltage drop in one of the branches as an example, which is referred to as the target branch.

[0027] The black-start management terminal has a preset voltage drop duration threshold. It acquires and updates the voltage drop duration of the target branch in real time, then compares this duration with the voltage drop duration threshold. If the voltage drop duration of the target branch is greater than the threshold, the power supply status of the target branch is classified as a power outage state. If the voltage drop duration of the target branch is less than or equal to the threshold, the power supply status of the target branch is classified as a voltage sag state.

[0028] Step S102: If the power supply status information on the target branch is in a power failure state, then send a black start ready command to multiple new energy storage units.

[0029] In practice, if the black start management terminal identifies the power supply status information of the target branch as being in a power failure state, the black start management terminal sends a black start ready command to multiple reserve units corresponding to the target branch.

[0030] After receiving the black start ready command, multiple storage units will feed back their own energy storage power supply information to the black start management terminal. Step S103: Obtain energy storage power supply information of multiple storage units, and generate recovery capability parameters based on the energy storage power supply information.

[0031] During implementation, the black start management terminal receives energy storage power supply information from multiple reserve units. The energy storage power supply information includes at least the available power and current state of charge of the reserve units, and calculates and generates recovery capability parameters based on the available power and current state of charge of the reserve units.

[0032] Specifically, in step S103, the following processing steps also exist, and the operation flow is as follows: Based on the current state of charge and the preset state of charge threshold in the energy storage power supply information, multiple candidate energy storage units are selected.

[0033] In practice, the black-start management terminal compares the current state of charge with a preset state of charge threshold to select multiple energy storage units whose current state of charge is greater than the state of charge threshold, and the energy storage units selected here are called candidate energy storage units.

[0034] Based on the current state of charge and available power in the candidate energy storage power supply information corresponding to multiple candidate energy storage units, as well as the preset weighting coefficients, the recovery capability parameters corresponding to the energy storage power supply information are calculated and generated.

[0035] In practice, the black start management terminal has two preset weight coefficients, and the sum of the two weight coefficients equals 1.

[0036] Specifically, the formula for calculating the recovery capability parameters is as follows: ; in, For recovery capability parameters, The current state of charge of the candidate energy storage unit. The available power of the candidate energy storage unit. and These are the weighting coefficients, and .

[0037] By calculating recovery capability parameters, candidate energy storage units with strong power supply capabilities are selected.

[0038] Step S104: Based on the recovery capability parameters corresponding to the energy storage power supply information, generate the preferred power supply path for the target branch in the preset urban power supply data map.

[0039] In practice, the black start management terminal uses multiple recovery capability parameters to construct the power supply relationship between multiple loads waiting to be powered and energy storage units under the target branch in the urban power supply data map. In this way, the optimal power supply path of the target branch is constructed through the power supply relationship between multiple loads waiting to be powered and energy storage units.

[0040] In this application, the power supply status of multiple branches is first identified by the duration of voltage drop on multiple branches. When the target branch is identified as being out of power, the energy storage power supply information of multiple energy storage units in the jurisdiction is first obtained. Then, the energy storage power supply information is used to adjust the multiple energy storage units to supply power to multiple loads waiting to be powered on the target branch. This enables the handling of emergency power supply within the jurisdiction, allowing the energy storage units of multiple distributed energy storage units to be fully utilized and reducing the economic losses caused by power outages.

[0041] Optionally, in step S104, the following processing steps also exist, and the operation flow is as follows: Repeat the following steps until a corresponding preferred power supply path has been established for all candidate energy storage units: Step S201: Based on multiple recovery capability parameters, sort multiple candidate energy storage units to generate a candidate energy storage data table.

[0042] In practice, the black-start management terminal sorts multiple candidate energy storage units based on recovery capability parameters and generates an energy storage data table based on the sorting results.

[0043] Step S202: Based on the preset power supply priority of multiple loads to be powered on the target branch, select the initial power supply loads and obtain the power supply requirements of the initial power supply loads.

[0044] In practice, the black-start management terminal uses the preset power supply priority of multiple loads to be powered in the target branch to select the load with the highest priority. The load to be powered here can be one or more loads with the same priority level, and the selected load to be powered here is called the initial power supply load.

[0045] Next, the black-start management terminal obtains the power demand of the initial power supply load on the target branch. This allows for the matching of multiple candidate energy storage units based on the power demand of the initial power supply load.

[0046] Step S203: Based on the power supply requirements of the initial power supply load and the candidate energy storage data table, generate the preferred power supply path for the initial power supply load, and determine the power supply path based on the constructed candidate energy storage data table and the corresponding load to be powered on the target branch.

[0047] In implementation, the black-start management terminal uses the power demand of the initial power supply load to filter out corresponding candidate energy storage units from the candidate energy storage data table from top to bottom, and establishes an optimal power supply path between the initial power supply load and the corresponding candidate energy storage unit. Then, the candidate energy storage units that have been used to construct the optimal power supply path are removed from the candidate energy storage data table, and the initial power supply load is removed from the loads to be powered in the target branch, so as to facilitate the cyclic matching process again.

[0048] Specifically, in step S203, the following processing steps also exist, and the operation flow is as follows: Based on the power demand information of the initial power supply load and the preset power outage duration, the target power supply capacity is generated.

[0049] In practice, the power demand information of the initial power supply load includes at least the load's operating power. The black-start management terminal calculates the amount of power that the initial power supply load needs to provide based on the load's operating power and the preset power outage duration; this is referred to as the target power supply amount. Based on the energy storage power supply information of multiple candidate energy storage units, the energy storage capacity of multiple candidate energy storage units is calculated and generated.

[0050] In practice, the black-start management terminal calculates the energy storage capacity of the candidate energy storage capacitor based on the available power and current state of charge of the energy storage power supply information in the candidate energy storage unit. Based on the target power supply and the energy storage capacity of multiple candidate energy storage units, one or more target candidate energy storage units are matched in the candidate energy storage data table, and an optimal power supply path is established between the initial power supply load and the target candidate energy storage units.

[0051] In implementation, the black-start management terminal sequentially selects one or more candidate energy storage units from the candidate energy storage data table based on the target power supply amount. These are referred to here as target candidate energy storage units, and the sum of the energy storage amounts corresponding to multiple target candidate energy storage units is exactly greater than or equal to the target power supply amount. Then, an optimal power supply path is established between the initial power supply load and the multiple target candidate energy storage units. This application also discloses a new energy and energy storage synergistic black start system, the system including a black start management terminal and multiple distributed new energy energy storage units, the black start management terminal including; The information acquisition module is used to acquire node voltage information fed back by multiple voltage monitoring nodes in real time, and to identify the power supply status information on multiple branches based on the multiple node voltage information. If the power supply status information on the target branch is in a power failure state, the black start ready operation module sends a black start ready command to multiple new energy storage units. The information acquisition module is used to acquire energy storage power supply information from multiple storage units and generate recovery capability parameters based on the energy storage power supply information. The power supply path construction module is used to generate the preferred power supply path for the target branch in a preset urban power supply data map based on the recovery capability parameters corresponding to the energy storage power supply information.

[0052] Optional, black-boot management terminal, specifically used for: The information acquisition module is used to classify the power supply status information of the target branch into power outage state or voltage sag state based on the voltage drop duration updated in real time in the power supply status information and the preset voltage drop duration threshold.

[0053] Optional, black-boot management terminal, specifically used for: The data calculation module is used to filter out multiple candidate energy storage units based on the current state of charge and the preset state of charge threshold in the energy storage power supply information. The data calculation module is used to calculate and generate the recovery capability parameters corresponding to the energy storage power supply information based on the current state of charge and available power in the candidate energy storage power supply information corresponding to multiple candidate energy storage units, as well as the preset weighting coefficients.

[0054] Optional, black-boot management terminal, specifically used for: The formula for calculating the recovery capability parameters is as follows: ; in, For recovery capability parameters, The current state of charge of the candidate energy storage unit. The available power of the candidate energy storage unit. and These are the weighting coefficients, and .

[0055] Optional, black-boot management terminal, specifically used for: Repeat the following steps until a corresponding preferred power supply path has been established for all candidate energy storage units: The table sorting module is used to sort multiple candidate energy storage units according to multiple recovery capability parameters to generate a candidate energy storage data table. The information acquisition module is used to filter out the initial power supply loads based on the preset power supply priority of multiple loads to be powered on the target branch, and to obtain the power supply requirements of the initial power supply loads. The power supply path construction module is used to generate the preferred power supply path for the initial power supply load based on the power supply requirements of the initial power supply load and the candidate energy storage data table, and to determine the power supply path based on the constructed candidate energy storage data table and the corresponding load to be powered on the target branch.

[0056] Optional, black-boot management terminal, specifically used for: The data calculation module is used to generate the target power supply capacity based on the power demand information of the initial power supply load and the preset power outage duration. The data calculation module is used to calculate and generate the energy storage capacity of multiple candidate energy storage units based on the energy storage power supply information of multiple candidate energy storage units. The power supply path construction module is used to match one or more target candidate energy storage units in the candidate energy storage data table based on the target power supply and the energy storage capacity of multiple candidate energy storage units, and to establish the preferred power supply path between the initial power supply load and the target candidate energy storage units.

[0057] This application provides a black-boot management terminal. The black-boot management terminal can vary significantly depending on its configuration or performance, and may include one or more central processing units (e.g., one or more processors) and memory, and one or more storage media (e.g., one or more mass storage devices) for storing applications or data. The memory and storage media can be temporary or persistent storage. The program stored on the storage media may include one or more modules (not shown in the figures), and each module may include a series of instruction operations on the black-boot management terminal.

[0058] The black boot management terminal may also include one or more power supplies, one or more wired or wireless network interfaces, one or more input / output interfaces, one or more keyboards, and / or one or more operating systems.

[0059] The black-start management terminal may include a memory and one or more programs, wherein one or more programs are stored in the memory and configured to be executed by one or more processors. One or more programs include processing for the black-start management terminal in the above-mentioned new energy and energy storage collaborative black-start method based on distributed consensus.

[0060] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory.

[0061] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

[0062] While the present invention has been disclosed above, its scope of protection is not limited thereto. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention, and all such changes and modifications will fall within the scope of protection of the present invention.

Claims

1. A black-start method for coordinated development of new energy and energy storage based on distributed consensus, characterized in that, The method includes: The node voltage information fed back by multiple voltage monitoring nodes is acquired in real time, and the power supply status information on multiple branches is identified based on the node voltage information. If the power supply status information on the target branch is in a power failure state, then send a black start ready command to multiple new energy storage units. Obtain energy storage power supply information of multiple storage units, and generate recovery capability parameters based on the energy storage power supply information; Based on the recovery capability parameters corresponding to the energy storage power supply information, a preferred power supply path for the target branch is generated in a preset urban power supply data map.

2. The method according to claim 1, characterized in that, The step of identifying the power supply status information on multiple branches based on the voltage information of multiple nodes includes: Based on the real-time updated voltage drop duration in the power supply status information and the preset voltage drop duration threshold, the power supply status information of the target branch is divided into power outage state or voltage sag state.

3. The method according to claim 1, characterized in that, The step of generating recovery capability parameters based on the energy storage power supply information includes: Based on the current state of charge and the preset state of charge threshold in the energy storage power supply information, multiple candidate energy storage units are selected. Based on the current state of charge and available power in the candidate energy storage power supply information corresponding to multiple candidate energy storage units, and the preset weighting coefficients, the recovery capability parameters corresponding to the energy storage power supply information are calculated and generated.

4. The method according to claim 3, characterized in that, The formula for calculating the recovery capability parameters is as follows: ； in, For recovery capability parameters, The current state of charge of the candidate energy storage unit. The available power of the candidate energy storage unit. and These are the weighting coefficients, and .

5. The method according to claim 3, characterized in that, The step of generating the preferred power supply path for the target branch in a preset urban power supply data map based on the recovery capability parameters corresponding to the energy storage power supply information includes: The following steps are repeated until all of the candidate energy storage units have established corresponding preferred power supply paths: Based on multiple recovery capability parameters, a candidate energy storage data table is generated by sorting multiple candidate energy storage units. Based on the preset power supply priority of multiple loads to be powered on the target branch, the initial power supply loads are selected, and the power supply requirements of the initial power supply loads are obtained. Based on the power demand of the initial power supply load and the candidate energy storage data table, a preferred power supply path for the initial power supply load is generated, and based on the constructed candidate energy storage data table and the corresponding load to be powered on the target branch.

6. The method according to claim 5, characterized in that, The step of generating the preferred power supply path for the initial power supply load based on the power supply demand of the initial power supply load and the candidate energy storage data table includes: Based on the power demand information of the initial power supply load and the preset power outage duration, a target power supply capacity is generated; Based on the energy storage power supply information of the multiple candidate energy storage units, the energy storage capacity of the multiple candidate energy storage units is calculated and generated; Based on the target power supply and the energy storage capacity of the multiple candidate energy storage units, one or more target candidate energy storage units are matched in the candidate energy storage data table, and an optimal power supply path is established between the initial power supply load and the target candidate energy storage units.

7. A new energy and energy storage synergistic black start system, characterized in that, The system includes a black-start management terminal and multiple distributed new energy storage units, wherein the black-start management terminal includes; The information acquisition module is used to acquire node voltage information fed back by multiple voltage monitoring nodes in real time, and to identify the power supply status information on multiple branches based on the multiple node voltage information. If the power supply status information on the target branch is in a power failure state, the black start ready operation module sends a black start ready command to multiple new energy storage units. The information acquisition module is used to acquire energy storage power supply information of multiple storage units and generate recovery capability parameters based on the energy storage power supply information; The power supply path construction module is used to generate the preferred power supply path of the target branch in a preset urban power supply data map based on the recovery capability parameters corresponding to the energy storage power supply information.

8. A black-start management terminal, characterized in that, The black-start management terminal includes a processor and a memory. The memory stores at least one instruction, at least one program, a code set, or an instruction set. The at least one instruction, the at least one program, the code set, or the instruction set are loaded and executed by the processor to realize the processing of the black-start management terminal in the new energy and energy storage collaborative black-start method based on distributed consensus as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The storage medium stores at least one instruction, at least one program, code set, or instruction set. The at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by a processor to implement the processing of the black start management terminal in the new energy and energy storage collaborative black start method based on distributed consensus as described in any one of claims 1 to 6.

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