Source, storage and load coordinated regulation method, system, equipment, medium and product

Abstract

The invention relates to the technical field of electric power systems, and discloses a source storage load coordinated regulation method, a system, equipment, a medium and a product. Source storage load equipment of all electricity users corresponding to each distribution transformer is aggregated into a source storage load cluster; and by constructing a hierarchical network topology structure among a transformer substation, a main transformer, a feeder line, a distribution transformer and a power consumer in the power distribution network, determining a mapping relationship between each source storage load cluster and the transformer substation, the main transformer and the feeder line, and generating a heavy overload or peak staggering and avoiding adjustment strategy under the condition that the operation state information of the power distribution network triggers a heavy overload or peak staggering and avoiding condition. According to the method and the system, the source storage load devices of the scattered electricity users are aggregated, manual intervention is not needed, the source storage load resources of the user side are fully utilized, and the heavy overload management and peak staggering and avoiding response speed is effectively improved.

Description

Technical Field

[0001] This invention relates to the field of power system technology, and in particular to a source-storage-load coordinated regulation method, system, equipment, medium and product. Background Technology

[0002] In recent years, with the large-scale grid connection of low-voltage distributed energy (such as photovoltaics), the surge in electric vehicle charging load, the access of distributed energy storage, and the growth in commercial and industrial electricity demand, local heavy overloads in the distribution network have become frequent. In particular, 10kV distribution transformers and 10kV lines are prone to current exceeding the rated value during peak electricity consumption periods (such as summer afternoons and winter evenings). Traditional solutions rely on manual intervention (such as manual switching and telephone notification to users of power rationing). The response time for heavy overload management and peak avoidance is long, which can easily amplify the impact of faults. At the same time, user-side source load resources (such as energy storage discharge and priority consumption of photovoltaics) are not fully utilized, and the regulation method is crude, which wastes resources and affects the user's electricity experience. Summary of the Invention

[0003] In view of this, the present invention provides a source-storage-load coordinated regulation method, system, equipment, medium and product, which solves the technical problems of traditional solutions relying on manual intervention (such as manual switching, telephone notification to users of power rationing), long response time for heavy overload management and peak avoidance, easy to amplify the impact of faults, and failure to fully utilize user-side source-storage resources (such as energy storage discharge, photovoltaic priority consumption), and crude regulation methods, which waste resources and affect the user's electricity experience.

[0004] The first aspect of this invention provides a source-storage-charge coordinated regulation method, comprising:

[0005] Based on the mapping relationship between households and transformers in the distribution network, the source and load storage devices of all electricity users corresponding to each distribution transformer are aggregated into a source and load storage cluster.

[0006] Based on the node topology data of the power distribution network, a hierarchical network topology structure is constructed between substations, main transformers, feeders, distribution transformers and electricity users within the power distribution network.

[0007] Based on the hierarchical network topology, determine the mapping relationship between each of the source-load storage clusters and the substation, the main transformer, and the feeder;

[0008] The system monitors the operating status information of the distribution network in real time. When the operating status information triggers conditions of heavy overload or peak avoidance, it generates a regulation strategy for heavy overload or peak avoidance and distributes the regulation strategy to a designated source-load storage cluster through the mapping relationship. The designated source-load storage cluster then executes the regulation strategy. The designated source-load storage cluster is the source-load storage cluster that is mapped to the feeder with heavy overload or peak avoidance region among all source-load storage clusters.

[0009] Preferably, the step of aggregating the source-load storage devices of all electricity users corresponding to each distribution transformer into a source-load storage cluster based on the user-transformer mapping relationship in the distribution network includes:

[0010] Obtain the household-transformer mapping relationship data in the distribution network, and for each distribution transformer, determine the source-load storage devices of all electricity users corresponding to the distribution transformer based on the household-transformer mapping relationship data;

[0011] The source and load storage devices of all electricity users corresponding to each distribution transformer are collected and integrated to form a source and load storage cluster for each distribution transformer.

[0012] Preferably, the step of constructing a hierarchical network topology structure among substations, main transformers, feeders, distribution transformers, and electricity users within the distribution network based on the node topology data of the distribution network includes:

[0013] Obtain the node topology data of the power distribution network, which includes the connection relationships and location information of substations, main transformers, feeders, distribution transformers and electricity users;

[0014] Based on the connection relationships and location information in the node topology data, the hierarchical network topology is constructed layer by layer in the order of substation, main transformer, feeder, distribution transformer and electricity user.

[0015] Preferably, the operating status information includes the operating current of the feeder; the method further includes:

[0016] If the operating current of the feeder continues to be greater than a preset overload current threshold for a preset period of time, then the condition for triggering overload by the operating status information is determined.

[0017] Accordingly, when the operating status information triggers a heavy overload condition, a heavy overload regulation strategy is generated, and the regulation strategy is distributed to the designated source storage and load cluster through the mapping relationship. The designated source storage and load cluster then executes the regulation strategy, including:

[0018] When the operating status information triggers a heavy overload condition, the multiple source storage and load clusters that have a mapping relationship with the feeder that triggers the heavy overload condition are determined through the feeder as the designated source storage and load clusters.

[0019] For each specified source-storage-load cluster, determine the adjustability margin of the distributed power sources, energy storage devices, and adjustable load devices in the specified source-storage-load cluster, and determine the total adjustability margin of the specified source-storage-load cluster based on the adjustability margin of the distributed power sources, energy storage devices, and adjustable load devices in the specified source-storage-load cluster.

[0020] The specified source-load storage clusters are sorted from largest to smallest according to the total adjustable margin, and the adjustment strategy is issued from the master station to the specified source-load storage cluster with the highest ranking according to the sorting result; wherein, the adjustment strategy is used by the specified source-load storage cluster to adjust the output of the energy storage device, distributed power source and adjustable load device in the specified source-load storage cluster in sequence according to the preset device adjustment priority, so as to reduce the feeder operating current after adjustment;

[0021] During the execution of the adjustment strategy, if the feeder operating current does not decrease below the preset heavy overload current threshold after the first-ranked designated source-load cluster executes the adjustment strategy, then the adjustment strategy will continue to be issued to the next designated source-load cluster according to the ranking result, and the next designated source-load cluster will execute the adjustment strategy until the feeder operating current decreases below the preset heavy overload current threshold, at which point the adjustment ends.

[0022] Preferably, the operating status information includes the operating load within the region; the method further includes:

[0023] If the operating load in the area exceeds a preset load threshold, the operating status information is determined to trigger the peak avoidance condition.

[0024] Accordingly, when the operating status information triggers the peak avoidance condition, a peak avoidance adjustment strategy is generated, and the adjustment strategy is distributed to the designated source storage and load cluster through the mapping relationship, and the designated source storage and load cluster executes the adjustment strategy, including:

[0025] Based on the substation to which the region corresponding to the condition for triggering peak avoidance belongs, and in conjunction with the mapping relationship, multiple source storage and load clusters that have a mapping relationship with the substation are identified as the designated source storage and load clusters.

[0026] The total load reduction required in the region is determined based on the difference between the operating load in the region and the preset load threshold.

[0027] Based on the load percentage of the distribution transformers corresponding to each of the specified source-storage-load clusters, determine the load reduction allocation ratio for each of the specified source-storage-load clusters;

[0028] According to the load reduction allocation ratio of each specified source storage cluster, the total load to be reduced in the region is allocated to each specified source storage cluster to obtain the load reduction of each specified source storage cluster.

[0029] For each designated source-storage-load cluster after allocation, the allocated load reduction is adjusted according to the preset equipment adjustment priority, and the loads of the adjustable load devices, energy storage devices and distributed power sources in the designated source-storage-load cluster are adjusted in sequence, so that the operating load of the adjusted area is reduced to below the preset load threshold.

[0030] Preferably, the method further includes:

[0031] After the specified source-storage-load cluster executes the regulation strategy, the operating status information of the distribution network after the execution of the regulation strategy is collected in real time.

[0032] Determine whether the operating status information triggers the conditions for heavy overload or peak avoidance. If the operating status information triggers the conditions for heavy overload or peak avoidance, regenerate the adjustment strategy for heavy overload or peak avoidance, and distribute the adjustment strategy to the designated source-storage-load cluster through the mapping relationship. Then, make the designated source-storage-load cluster execute the adjustment strategy until the operating status information of the distribution network no longer triggers the conditions for heavy overload or peak avoidance.

[0033] Secondly, the present invention also provides a source-storage-load coordinated regulation system, comprising:

[0034] The clustering module is used to aggregate the source and load storage devices of all electricity users corresponding to each distribution transformer into a source and load storage cluster based on the mapping relationship between the user and the transformer in the distribution network.

[0035] The topology construction module is used to construct a hierarchical network topology between substations, main transformers, feeders, distribution transformers and electricity users in the distribution network based on the node topology data of the distribution network.

[0036] The mapping relationship determination module is used to determine the mapping relationship between each of the source-load storage clusters and the substation, the main transformer and the feeder according to the hierarchical network topology.

[0037] The cluster regulation module is used to monitor the operating status information of the distribution network in real time. When the operating status information triggers the conditions of heavy overload or peak avoidance, it generates a regulation strategy for heavy overload or peak avoidance and distributes the regulation strategy to the designated source-load storage cluster through the mapping relationship, and causes the designated source-load storage cluster to execute the regulation strategy; wherein, the designated source-load storage cluster is the source-load storage cluster that is mapped to the feeder of heavy overload or the area of ​​peak avoidance among all source-load storage clusters.

[0038] Thirdly, the present invention also provides an electronic device, the electronic device including a memory and a processor, the memory storing a computer program, which, when executed by the processor, causes the processor to perform the steps of the source-storage-load coordinated regulation method as described in the first aspect.

[0039] Fourthly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the steps of the source-storage-load coordinated regulation method as described in the first aspect.

[0040] Fifthly, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, wherein when the program instructions are executed by a computer, the computer performs the steps of the source-storage-load coordinated regulation method as described in the first aspect.

[0041] As can be seen from the above technical solutions, this invention aggregates the source and load storage devices of all users corresponding to each distribution transformer into a source and load storage cluster, so as to uniformly regulate the source and load storage devices of users. It can quickly respond to the regulation strategies for heavy overload management and peak avoidance. By constructing a hierarchical network topology between substations, main transformers, feeders, distribution transformers and users in the distribution network, the mapping relationship between each source and load storage cluster and substations, main transformers and feeders is determined. When the operating status information of the distribution network triggers the conditions for heavy overload or peak avoidance, the regulation strategy for heavy overload or peak avoidance is generated and distributed to the designated source and load storage cluster through the mapping relationship. The designated source and load storage cluster executes the regulation strategy. In this way, by aggregating the source and load storage devices of scattered users, without manual intervention, the invention makes full use of the source and load storage resources on the user side, effectively improves the response speed of heavy overload management and peak avoidance, avoids amplifying the impact of faults, and improves the user's electricity experience. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the 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.

[0043] Figure 1 This is an application environment diagram of a source-storage-load coordinated regulation method provided in an embodiment of the present invention;

[0044] Figure 2 A flowchart of a source-storage-charge coordinated regulation method provided in an embodiment of the present invention;

[0045] Figure 3 The node topology diagram of the power distribution network provided in the embodiments of the present invention;

[0046] Figure 4 This is a schematic diagram of a source-storage-load coordinated regulation system provided in an embodiment of the present invention;

[0047] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0048] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and 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.

[0049] The source-storage-load coordinated regulation method provided in this application embodiment can be applied to, for example... Figure 1 The application environment shown is illustrated. Terminal 101 communicates with server 102 via a network. A data storage system can store the data that server 102 needs to process. The data storage system can be integrated onto server 102, or it can be located in the cloud or on another network server. Terminal 101 or server 102 aggregates the source-load storage devices of all users corresponding to each distribution transformer into a source-load storage cluster based on the user-transformer mapping relationship in the distribution network; constructs a hierarchical network topology structure between substations, main transformers, feeders, distribution transformers and users in the distribution network according to the node topology data of the distribution network; determines the mapping relationship between each source-load storage cluster and substations, main transformers and feeders according to the hierarchical network topology structure; monitors the operation status information of the distribution network in real time, and generates a heavy overload or peak avoidance regulation strategy when the operation status information triggers the conditions of heavy overload or peak avoidance, and distributes the regulation strategy to the designated source-load storage cluster through the mapping relationship, and makes the designated source-load storage cluster execute the regulation strategy; wherein, the designated source-load storage cluster is the source-load storage cluster that has a mapping relationship with the feeder or peak avoidance area of ​​heavy overload among all source-load storage clusters.

[0050] Terminal 101 can be, but is not limited to, various personal computers, laptops, smartphones, and tablets.

[0051] Server 102 can be a standalone physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server that provides cloud computing services.

[0052] like Figure 2As shown in the embodiments of this application, a source-storage-load coordinated regulation method is provided, which is applied to... Figure 1 Taking terminal 101 or server 102 as an example, the explanation includes the following steps S1 to S4. Wherein:

[0053] Step S1: Based on the mapping relationship between households and transformers in the distribution network, aggregate the source and load storage devices of all electricity users corresponding to each transformer into a source and load storage cluster.

[0054] In the distribution network, the mapping relationship between households and transformers establishes a mapping between low-voltage electricity users (including energy storage devices) and distribution transformers. It also aggregates the energy storage devices of all users corresponding to each distribution transformer into energy storage clusters to facilitate unified management and regulation of these devices. Energy storage devices include, but are not limited to, distributed power sources (photovoltaics, wind power), energy storage devices, and adjustable loads (including loads that can be shifted (electric vehicle charging), loads that can be reduced (non-core air conditioning), and loads that can be transferred (commercial refrigeration backup)).

[0055] Step S2: Based on the node topology data of the distribution network, construct a hierarchical network topology structure between substations, main transformers, feeders, distribution transformers and electricity users within the distribution network.

[0056] The node topology data is obtained by the distribution network automation master station system, which records the connection relationships and locations of substations, main transformers, feeders, distribution transformers and electricity users within the distribution network.

[0057] Step S3: Based on the hierarchical network topology, determine the mapping relationship between each source storage and load cluster and the substation, main transformer, and feeder.

[0058] Since the hierarchical network topology clearly defines the mapping relationships between substations, main transformers, feeders, distribution transformers, and electricity users within the distribution network, the specific mapping between each source-load storage cluster and substations, main transformers, and feeders can be determined based on the hierarchical network topology. This mapping relationship provides a precise path for subsequent regulation strategies, ensuring that regulation commands can be accurately delivered to the associated source-load storage clusters.

[0059] Step S4: Monitor the operating status information of the distribution network in real time. When the operating status information triggers the conditions of heavy overload or peak avoidance, generate the adjustment strategy for heavy overload or peak avoidance, and send the adjustment strategy to the designated source-load cluster through the mapping relationship, and make the designated source-load cluster execute the adjustment strategy. The designated source-load cluster is the source-load cluster that is mapped to the feeder of heavy overload or the area of ​​peak avoidance among all source-load clusters.

[0060] The operational status information includes several key parameters of the distribution network, such as current, voltage, power factor, and operating load. This information is collected in real time by sensors installed at various nodes of the distribution network and uploaded to the monitoring system. When the monitoring system analyzes and finds that the current in the operational status information exceeds a certain proportion of the feeder's rated current for a preset time, it determines that a heavy overload condition has been triggered; or when the operating load in the area exceeds a preset load threshold, it determines that a peak-shifting condition has been triggered. Once the corresponding condition is triggered, the system will immediately generate a targeted adjustment strategy based on the triggered condition and distribute the adjustment strategy to the designated source-load storage cluster that has a mapping relationship with the heavy overload feeder or peak-shifting area according to the mapping relationship.

[0061] Specifically, in the case of heavy overload, the adjustment strategy prioritizes adjusting the charging and discharging state of energy storage devices to quickly absorb or release electrical energy and alleviate feeder pressure; then, it adjusts the output of distributed power sources to reduce or increase power generation to match the current load demand; finally, when necessary, it reduces or shifts adjustable load devices, such as adjusting the operating time of non-core air conditioners or the charging period of electric vehicles, thereby effectively reducing feeder operating current.

[0062] For peak-shaving scenarios, the regulation strategy first identifies multiple related source-load storage clusters as regulation targets based on the substations belonging to the region that triggered the peak-shaving conditions, combined with the aforementioned mapping relationship. The total load to be reduced is determined by calculating the difference between the region's operating load and the preset load threshold. Specific reduction targets are then allocated based on the load proportion of the distribution transformers corresponding to each source-load storage cluster. During allocation, the system prioritizes adjustable load devices, energy storage devices, and distributed power sources, adjusting shiftable / reducible loads such as electric vehicle charging periods and non-core air conditioning operation status, combined with energy storage device charging and discharging adjustments and distributed power source output control, to ensure the total regional load is reduced below the threshold. After regulation is implemented, the distribution network operating parameters are continuously monitored. If a heavy overload or peak-shaving condition is triggered again, a new regulation strategy is automatically generated and executed, forming a dynamic closed-loop control mechanism.

[0063] It should be noted that this embodiment aggregates the source and load storage devices of all users corresponding to each distribution transformer into a source and load storage cluster, so as to uniformly regulate the source and load storage devices of users. This allows for rapid response to overload mitigation and peak shaving strategies. By constructing a hierarchical network topology among substations, main transformers, feeders, distribution transformers, and users within the distribution network, the mapping relationship between each source and load storage cluster and the substations, main transformers, and feeders is determined. When the operating status information of the distribution network triggers overload or peak shaving conditions, an overload or peak shaving regulation strategy is generated and distributed to the designated source and load storage cluster through the mapping relationship. The designated source and load storage cluster then executes the regulation strategy. By aggregating the source and load storage devices of dispersed users without manual intervention, the embodiment fully utilizes user-side source and load storage resources, effectively improves the response speed of overload mitigation and peak shaving, avoids amplifying the impact of faults, and improves the user's electricity experience.

[0064] In some embodiments, based on the user-transformer mapping relationship in the distribution network, the source-load storage devices of all electricity users corresponding to each distribution transformer are aggregated into a source-load storage cluster, including:

[0065] Step S101: Obtain the household-transformer mapping relationship data in the distribution network. For each distribution transformer, determine the source-load storage devices of all electricity users corresponding to the distribution transformer based on the household-transformer mapping relationship data.

[0066] After obtaining the household-transformer mapping relationship data, each transformer is traversed, and the source-load storage devices of all electricity users corresponding to that transformer are selected based on the household-transformer mapping relationship data. These devices include, but are not limited to, distributed power sources, energy storage devices, and various adjustable loads.

[0067] Step S102: Integrate the source and load storage devices of all electricity users corresponding to each distribution transformer to form a source and load storage cluster for each distribution transformer.

[0068] In some embodiments, based on the node topology data of the distribution network, a hierarchical network topology structure is constructed between substations, main transformers, feeders, distribution transformers, and electricity users within the distribution network, including:

[0069] Step S201: Obtain the node topology data of the distribution network. The node topology data includes the connection relationships and location information of substations, main transformers, feeders, distribution transformers and electricity users.

[0070] The connection relationships between substations, main transformers, feeders, distribution transformers, and electricity users in the distribution network are as follows: Figure 3As shown, Level 1 (Substation): A 110kV / 35kV substation, serving as the starting point for the 10kV line, outputting 10kV voltage; Level 2 (Main Transformer): Within the substation, converting the 110kV / 35kV high voltage to 10kV to supply power to the busbar and substation feeders; Level 3 (Feeder): 10kV feeder lines, connecting the substation to the 10kV distribution transformer, undertaking the function of power transmission; Level 4 (Distribution Transformer): A 10kV distribution transformer, converting the 10kV high voltage to 380V / 220V low voltage to supply power to low-voltage users; Level 5 (Users): Low-voltage users, including residential / commercial / industrial users who have installed distributed energy, energy storage, and flexible loads; Level 6 (Equipment, Resources, etc.): Specific equipment under the user, such as energy storage inverters, photovoltaic inverters, load controllers, etc.

[0071] Step S202: Based on the connection relationships and location information in the node topology data, construct a hierarchical network topology layer by layer in the order of substation, main transformer, feeder, distribution transformer and electricity user.

[0072] By using the connection relationships and location information in the node topology data, the physical architecture and logical relationships of the distribution network can be clearly depicted according to the hierarchical order of substations, main transformers, feeders, distribution transformers and electricity users.

[0073] Specifically, starting from the highest-level substation, its output is stepped down by the main transformer and transmitted to the feeders. The feeders then connect to various distribution transformers, which ultimately distribute the power to low-voltage users. Throughout this process, the connection relationships and location information at each step are precisely recorded to ensure the accuracy and integrity of the hierarchical network topology. This layer-by-layer construction method forms the hierarchical network topology among the elements within the distribution network.

[0074] In some embodiments, the operating status information includes the operating current of the feeder; the method further includes:

[0075] If the operating current of the feeder continues to exceed the preset overload current threshold for a preset period of time, the condition for triggering overload in the operating status information is determined.

[0076] For example, the preset duration is set to 60 seconds, and the preset overload current threshold is 1.2 times the rated current.

[0077] Accordingly, when the operating status information triggers a heavy overload condition, a heavy overload regulation strategy is generated, and the regulation strategy is distributed to the designated source storage and load cluster through a mapping relationship. The designated source storage and load cluster then executes the regulation strategy, including:

[0078] Step S401: When the operating status information triggers a heavy overload condition, based on the mapping relationship, determine multiple source storage and load clusters that have a mapping relationship with the feeder that triggers the heavy overload condition as designated source storage and load clusters.

[0079] Through the aforementioned hierarchical network topology and defined mapping relationships, multiple source-load storage clusters that are mapped to feeders triggering heavy overload conditions can be quickly and accurately located. These source-load storage clusters are closely associated with the heavy overload feeders in the distribution network architecture and are the targets for subsequent regulation strategies.

[0080] Step S402: For each specified source-storage-load cluster, determine the adjustability margin of the distributed power sources, energy storage devices, and adjustable load devices in the specified source-storage-load cluster, and determine the total adjustability margin of the specified source-storage-load cluster based on the adjustability margin of the distributed power sources, energy storage devices, and adjustable load devices in the specified source-storage-load cluster.

[0081] The adjustability margin for distributed power sources is as follows:

[0082] The adjustable lower limit of a distributed power source is the difference between the predicted minimum output of the distributed power source and its current output. The adjustable upper limit is the difference between the predicted maximum output of the distributed power source and its current output. The adjustable margin of a distributed power source is the difference between the adjustable upper limit and the adjustable lower limit.

[0083] Similarly, the adjustability margin of an energy storage device is as follows: the lower limit of the adjustability of the energy storage device is the difference between the maximum charge / discharge power and the current charge / discharge power (negative when in discharge state and positive when in charging state), the upper limit of the adjustability is the difference between the rated charge / discharge power of the energy storage device and the current charge / discharge power (also considering the charge / discharge state), and the adjustability margin of the energy storage device is the difference between the upper and lower limits of the adjustability.

[0084] For adjustable load equipment, the adjustability margin is determined based on the specific type and adjustment capacity of the equipment. For example, for loads that can be shifted (such as electric vehicle charging), the lower limit of adjustability is the difference between the current charging power and the minimum allowable charging power (0 if not currently charging), and the upper limit of adjustability is the difference between the maximum allowable charging power and the current charging power. For loads that can be reduced (such as non-core air conditioning), the lower limit of adjustability is the difference between the current operating power and the minimum allowable operating power (0 if currently off), and the upper limit of adjustability is the difference between the current operating power and the rated power of the equipment (i.e., the adjustment amount when completely off). The total adjustability margin of the adjustable load equipment is obtained by summing the adjustability margins of each adjustable load equipment.

[0085] The total adjustability margin of a given source-storage-load cluster is obtained by adding the adjustability margins of distributed power sources, energy storage devices, and adjustable load devices. This total adjustability margin reflects the cluster's potential regulation capability in the event of heavy overload.

[0086] Step S403: Sort each designated source-load cluster in descending order according to the total adjustable margin, and according to the sorting result, send the adjustment strategy from the main station to the designated source-load cluster with the highest sorting. The adjustment strategy is used by the designated source-load cluster to adjust the output of the energy storage device, distributed power source and adjustable load device in the designated source-load cluster in sequence according to the preset device adjustment priority, so as to reduce the feeder operating current after adjustment.

[0087] In this process, after sorting the designated source storage and load clusters according to the size of the total adjustable margin, the main station will prioritize sending the adjustment strategy to the cluster with the highest ranking.

[0088] The regulation strategy clearly defines the priority order of equipment regulation: first, the charging and discharging state of energy storage devices is adjusted to absorb or release electrical energy using their rapid response characteristics, thereby effectively alleviating feeder pressure; if the regulation capacity of the energy storage devices is insufficient, the output of distributed power sources is further adjusted, reducing or increasing power generation according to current load demand; if the above adjustments still cannot meet the requirements, finally, adjustable load devices are reduced or shifted, such as adjusting the operating time of non-core air conditioning or the charging period of electric vehicles. Through this tiered regulation mechanism, it is ensured that the feeder operating current is significantly reduced after regulation, effectively preventing further deterioration of heavy overload conditions.

[0089] Step S404: During the execution of the regulation strategy, if the feeder operating current does not decrease below the preset heavy overload current threshold after the first specified source-load cluster in the ranking executes the regulation strategy, then the regulation strategy will continue to be sent to the next specified source-load cluster according to the ranking result, and the next specified source-load cluster will execute the regulation strategy until the feeder operating current is reduced to below the preset heavy overload current threshold, and the regulation ends.

[0090] If, after the top-ranked source-load storage cluster executes its regulation strategy, the feeder operating current still fails to decrease below the preset heavy overload current threshold, it indicates that the cluster's regulation capacity is insufficient to completely eliminate the heavy overload situation. In this case, the system will automatically distribute the regulation strategy to the next designated source-load storage cluster according to the ranking, and instruct it to execute the corresponding regulation operation. This process will continue, sequentially mobilizing subsequent source-load storage clusters to participate in the regulation until the feeder operating current decreases below the preset heavy overload current threshold, or all relevant source-load storage clusters have executed their regulation strategies. When the condition that the feeder operating current decreases below the preset threshold is met, the regulation process ends, and the system will continue to maintain real-time monitoring of the distribution network's operating status to ensure the stable operation of the power grid.

[0091] In some embodiments, the operating status information includes the operating load within the region; the method further includes:

[0092] If the operating load in the region exceeds the preset load threshold, the operating status information is determined to trigger the peak avoidance condition.

[0093] The preset load threshold is determined based on a comprehensive analysis of factors such as historical operating data of the distribution network, equipment capacity, and user electricity demand. When the operating load in a region exceeds this preset threshold, it means that the current electricity demand in the region exceeds the normal range, which may affect the stable operation of the distribution network. Therefore, it is determined to trigger peak-shaving conditions. For example, if the peak load is from 14:00 to 16:00, it is necessary to reduce the load in area XX by 10%.

[0094] Accordingly, when the operational status information triggers the peak avoidance condition, a peak avoidance adjustment strategy is generated, and the adjustment strategy is distributed to the designated source storage and load cluster through a mapping relationship, and the designated source storage and load cluster executes the adjustment strategy, including:

[0095] Step S411: Based on the substation to which the region corresponding to the triggering peak avoidance condition belongs, and in conjunction with the mapping relationship, determine multiple source storage and load clusters that have a mapping relationship with the substation as the designated source storage and load clusters.

[0096] When operational status information triggers peak-shaving conditions, the system first locates the substation to which the triggering condition area belongs. Utilizing the previously constructed hierarchical network topology and mapping relationships, the system can quickly identify multiple source-load storage clusters associated with that substation. These clusters are geographically and electrically connected to the area triggering the peak-shaving condition and are key targets for implementing subsequent regulation strategies. In this way, the system ensures the targeted nature and effectiveness of the regulation strategies, enabling rapid response and alleviation of electricity demand within the area.

[0097] Step S412: Determine the total load reduction required in the region based on the difference between the operating load in the region and the preset load threshold.

[0098] The total load reduction requirement for a region is calculated by subtracting a preset load threshold from the operating load within the region. This difference directly reflects the extent to which the current regional electricity demand exceeds the normal range, i.e., the amount of load that needs to be reduced. For example, if the operating load in the region is 120MW and the preset load threshold is 100MW, then the total load reduction requirement for the region is 20MW. This value is a crucial basis for subsequently formulating peak-shaving and load-saving strategies, determining how many energy storage clusters need to be mobilized and how their output should be adjusted to ensure that the regional electricity demand falls back to a safe range.

[0099] Step S413: Determine the load reduction allocation ratio for each designated source-storage-load cluster based on the load ratio of the distribution transformers corresponding to each designated source-storage-load cluster.

[0100] The load share of each designated source-load storage cluster corresponding to its transformer is determined by statistically analyzing the ratio of each transformer's load within the current area to the total regional load. This ratio reflects the contribution of each source-load storage cluster to the regional electricity consumption. For example, if a source-load storage cluster corresponds to a transformer load of 30MW, and the total regional load is 120MW, then the load share of that cluster is 25%. Based on this ratio, the system can further determine the load reduction allocation ratio that each source-load storage cluster should undertake in peak-shaving regulation. Specifically, if the total regional load reduction is 20MW, then the load reduction amount for that cluster is 5MW (i.e., 20MW multiplied by 25%). Through this allocation method, the system can ensure the fairness and effectiveness of the peak-shaving regulation strategy, enabling each source-load storage cluster to reasonably share the load reduction task according to its load share.

[0101] Step S414: According to the load reduction allocation ratio of each designated source storage and load cluster, the total required load reduction in the region is allocated to each designated source storage and load cluster to obtain the load reduction of each designated source storage and load cluster.

[0102] After determining the load reduction allocation ratio for each designated source-storage-load cluster, the system precisely allocates the total regional load reduction to each cluster based on this ratio. For example, if the total regional load reduction is 20MW, and the aforementioned steps determine the load reduction allocation ratios for the three designated source-storage-load clusters to be 25%, 35%, and 40%, then the load reduction amounts for these three clusters are 5MW, 7MW, and 8MW, respectively. This allocation method ensures that each cluster undertakes its corresponding load reduction task according to its load share, thereby achieving precise implementation of the peak-shaving and load-avoidance regulation strategy. By refining the total load reduction to each cluster, regional electricity demand can be managed more effectively, ensuring the stable operation of the distribution network.

[0103] Step S415: For each allocated source-storage-load cluster, the allocated load reduction is adjusted according to the preset equipment adjustment priority, and the loads of the adjustable load equipment, energy storage equipment and distributed power sources in the designated source-storage-load cluster are adjusted in sequence to reduce the operating load of the adjusted area to below the preset load threshold.

[0104] When adjusting each allocated source-load cluster, the system follows a preset equipment adjustment priority. First, it prioritizes adjusting adjustable load devices, typically non-core industrial loads, commercial lighting, or air conditioning systems. These devices can reduce load by adjusting operating time or power without significantly disrupting normal production or daily life. If the adjustment capacity of adjustable load devices is insufficient to achieve the reduction target, the system further turns to energy storage devices, utilizing their charging and discharging characteristics to absorb or release electrical energy, thereby effectively regulating the regional load. Finally, when neither energy storage devices nor adjustable load devices can meet the reduction requirements, the system considers adjusting the output of distributed power sources, increasing or decreasing generation output to reduce the regional operating load. The goal of this series of adjustments is to ensure that the operating load of the regulated area is reduced below a preset load threshold, thereby guaranteeing the safe and stable operation of the distribution network.

[0105] For example, a peak-shaving instruction is issued to shift the electricity consumption of electric vehicles (EVs) and washing machines (washing machines) from 14:00 to 16:00 to 22:00 to 6:00 the next day (off-peak hours); a peak-avoidance instruction is issued to energy storage devices, which discharge (alternative to grid power) from 14:00 to 16:00 and charge (store off-peak energy) from 22:00 to 6:00 the next day; a priority consumption instruction is issued to distributed power sources, prioritizing photovoltaic power supply to local loads from 14:00 to 16:00 to reduce grid power supply pressure. Devices within the cluster complete the adjustments according to the instructions, and the automated master station monitors the total regional load in real time to ensure that the regional load is ≤90MW (target value) from 14:00 to 16:00. After the peak-avoidance period ends at 16:00, a recovery instruction is issued, restoring normal power consumption to shiftable loads, switching energy storage to standby / charging mode, and resuming regular photovoltaic output.

[0106] In some embodiments, the method further includes:

[0107] Step S501: After the regulation strategy is executed in the designated source-storage-load cluster, the operating status information of the distribution network after the regulation strategy is executed is collected in real time.

[0108] After the designated source-storage-load cluster executes the adjustment strategy, a real-time data collection mechanism will be immediately activated to comprehensively capture the current operating status information of the distribution network.

[0109] Step S502: Determine whether the operating status information triggers the conditions for heavy overload or peak avoidance. If the operating status information triggers the conditions for heavy overload or peak avoidance, regenerate the adjustment strategy for heavy overload or peak avoidance, and send the adjustment strategy to the designated source-storage-load cluster through the mapping relationship. Then, make the designated source-storage-load cluster execute the adjustment strategy until the operating status information of the distribution network no longer triggers the conditions for heavy overload or peak avoidance.

[0110] Based on the same inventive concept, this application also provides a source-storage-load coordinated regulation system for implementing the source-storage-load coordinated regulation method described above.

[0111] The solution provided by this system is similar to the solution described in the above method. Therefore, the specific limitations of one or more source-storage-load coordinated regulation system embodiments provided below can be found in the limitations of the source-storage-load coordinated regulation method above, and will not be repeated here.

[0112] like Figure 4 As shown in the figure, this application provides a source-storage-load coordinated regulation system, including:

[0113] Clustering module 100 is used to aggregate the source and load storage devices of all electricity users corresponding to each distribution transformer into a source and load storage cluster based on the mapping relationship between the user and the transformer in the distribution network.

[0114] The topology construction module 200 is used to construct a hierarchical network topology between substations, main transformers, feeders, distribution transformers and electricity users in the distribution network based on the node topology data of the distribution network.

[0115] The mapping relationship determination module 300 is used to determine the mapping relationship between each source storage and load cluster and substations, main transformers and feeders based on the hierarchical network topology.

[0116] The cluster regulation module 400 is used to monitor the operating status information of the distribution network in real time. When the operating status information triggers the conditions of heavy overload or peak avoidance, it generates a regulation strategy for heavy overload or peak avoidance and distributes the regulation strategy to the designated source-load cluster through the mapping relationship, and causes the designated source-load cluster to execute the regulation strategy. The designated source-load cluster is the source-load cluster that is mapped to the feeder of heavy overload or the area of ​​peak avoidance among all source-load clusters.

[0117] like Figure 5 As shown, this application provides an electronic device. The electronic device 10 includes a memory 20 and a processor 30. The memory 20 stores a computer program. When the computer program is executed by the processor 30, the processor 30 performs the steps of the source-storage-load coordinated adjustment method as described in the above embodiment.

[0118] This application provides a computer-readable storage medium storing a computer program thereon, which, when executed, implements the steps of the source-storage-load coordinated regulation method as described in the above embodiments.

[0119] This application provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer performs the steps of the source-storage-load coordinated regulation method as described in the above embodiments.

[0120] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, electronic devices, computer storage media, and computer program products described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0121] It should be noted that the terms "comprising" and "having" and any variations thereof in the specification, claims and accompanying drawings of this invention are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such processes, methods, products or devices.

[0122] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0123] In the several embodiments provided by this invention, it should be understood that the disclosed systems, electronic devices, computer storage media, computer program products, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between devices or units, and may be electrical, mechanical, or other forms.

[0124] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0125] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0126] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for executing all or part of the steps of the methods described in the various embodiments of the present invention through a computer device (which may be a personal computer, a server, or a network device, etc.). The aforementioned storage medium includes: USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media capable of storing program code.

[0127] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A source-storage-load coordinated regulation method, characterized in that, include: Based on the mapping relationship between households and transformers in the distribution network, the source and load storage devices of all electricity users corresponding to each distribution transformer are aggregated into a source and load storage cluster. Based on the node topology data of the power distribution network, a hierarchical network topology structure is constructed between substations, main transformers, feeders, distribution transformers and electricity users within the power distribution network. Based on the hierarchical network topology, determine the mapping relationship between each of the source-load storage clusters and the substation, the main transformer, and the feeder; The system monitors the operating status information of the distribution network in real time. When the operating status information triggers conditions of heavy overload or peak avoidance, it generates a regulation strategy for heavy overload or peak avoidance and distributes the regulation strategy to a designated source-load storage cluster through the mapping relationship. The designated source-load storage cluster then executes the regulation strategy. The designated source-load storage cluster is the source-load storage cluster that is mapped to the feeder with heavy overload or peak avoidance region among all source-load storage clusters.

2. The source-storage-load coordinated regulation method according to claim 1, characterized in that, The method based on the user-transformer mapping relationship in the distribution network aggregates the source-load storage devices of all electricity users corresponding to each distribution transformer into a source-load storage cluster, including: Obtain the household-transformer mapping relationship data in the distribution network, and for each distribution transformer, determine the source-load storage devices of all electricity users corresponding to the distribution transformer based on the household-transformer mapping relationship data; The source and load storage devices of all electricity users corresponding to each distribution transformer are collected and integrated to form a source and load storage cluster for each distribution transformer.

3. The source-storage-load coordinated regulation method according to claim 1, characterized in that, The step of constructing a hierarchical network topology structure among substations, main transformers, feeders, distribution transformers, and electricity users within the distribution network based on the node topology data of the distribution network includes: Obtain the node topology data of the power distribution network, which includes the connection relationships and location information of substations, main transformers, feeders, distribution transformers and electricity users; Based on the connection relationships and location information in the node topology data, the hierarchical network topology is constructed layer by layer in the order of substation, main transformer, feeder, distribution transformer and electricity user.

4. The source-storage-load coordinated regulation method according to claim 1, characterized in that, The operating status information includes the operating current of the feeder; the method further includes: If the operating current of the feeder continues to be greater than a preset overload current threshold for a preset period of time, then the condition for triggering overload by the operating status information is determined. Accordingly, when the operating status information triggers a heavy overload condition, a heavy overload regulation strategy is generated, and the regulation strategy is distributed to the designated source storage and load cluster through the mapping relationship. The designated source storage and load cluster then executes the regulation strategy, including: When the operating status information triggers a heavy overload condition, the multiple source storage and load clusters that have a mapping relationship with the feeder that triggers the heavy overload condition are determined through the feeder as the designated source storage and load clusters. For each specified source-storage-load cluster, determine the adjustability margin of the distributed power sources, energy storage devices, and adjustable load devices in the specified source-storage-load cluster, and determine the total adjustability margin of the specified source-storage-load cluster based on the adjustability margin of the distributed power sources, energy storage devices, and adjustable load devices in the specified source-storage-load cluster. The specified source-load storage clusters are sorted from largest to smallest according to the total adjustable margin, and the adjustment strategy is issued from the master station to the specified source-load storage cluster with the highest ranking according to the sorting result; wherein, the adjustment strategy is used by the specified source-load storage cluster to adjust the output of the energy storage device, distributed power source and adjustable load device in the specified source-load storage cluster in sequence according to the preset device adjustment priority, so as to reduce the feeder operating current after adjustment; During the execution of the adjustment strategy, if the feeder operating current does not decrease below the preset heavy overload current threshold after the first-ranked designated source-load cluster executes the adjustment strategy, then the adjustment strategy will continue to be issued to the next designated source-load cluster according to the ranking result, and the next designated source-load cluster will execute the adjustment strategy until the feeder operating current decreases below the preset heavy overload current threshold, at which point the adjustment ends.

5. The source-storage-load coordinated regulation method according to claim 1, characterized in that, The operational status information includes the operational load within the region; the method further includes: If the operating load in the area exceeds a preset load threshold, the operating status information is determined to trigger the peak avoidance condition. Accordingly, when the operating status information triggers the peak avoidance condition, a peak avoidance adjustment strategy is generated, and the adjustment strategy is distributed to the designated source storage and load cluster through the mapping relationship, and the designated source storage and load cluster executes the adjustment strategy, including: Based on the substation to which the region corresponding to the condition for triggering peak avoidance belongs, and in conjunction with the mapping relationship, multiple source storage and load clusters that have a mapping relationship with the substation are identified as the designated source storage and load clusters. The total load reduction required in the region is determined based on the difference between the operating load in the region and the preset load threshold. Based on the load percentage of the distribution transformers corresponding to each of the specified source-storage-load clusters, determine the load reduction allocation ratio for each of the specified source-storage-load clusters; According to the load reduction allocation ratio of each specified source storage cluster, the total load to be reduced in the region is allocated to each specified source storage cluster to obtain the load reduction of each specified source storage cluster. For each designated source-storage-load cluster after allocation, the allocated load reduction is adjusted according to the preset equipment adjustment priority, and the loads of the adjustable load devices, energy storage devices and distributed power sources in the designated source-storage-load cluster are adjusted in sequence, so that the operating load of the adjusted area is reduced to below the preset load threshold.

6. The source-storage-load coordinated regulation method according to claim 1, characterized in that, Also includes: After the specified source-storage-load cluster executes the regulation strategy, the operating status information of the distribution network after the execution of the regulation strategy is collected in real time. Determine whether the operating status information triggers the conditions for heavy overload or peak avoidance. If the operating status information triggers the conditions for heavy overload or peak avoidance, regenerate the adjustment strategy for heavy overload or peak avoidance, and distribute the adjustment strategy to the designated source-storage-load cluster through the mapping relationship. Then, make the designated source-storage-load cluster execute the adjustment strategy until the operating status information of the distribution network no longer triggers the conditions for heavy overload or peak avoidance.

7. A source-storage-load coordinated regulation system, characterized in that, include: The clustering module is used to aggregate the source and load storage devices of all electricity users corresponding to each distribution transformer into a source and load storage cluster based on the mapping relationship between the user and the transformer in the distribution network. The topology construction module is used to construct a hierarchical network topology between substations, main transformers, feeders, distribution transformers and electricity users in the distribution network based on the node topology data of the distribution network. The mapping relationship determination module is used to determine the mapping relationship between each of the source-load storage clusters and the substation, the main transformer and the feeder according to the hierarchical network topology. The cluster regulation module is used to monitor the operating status information of the distribution network in real time. When the operating status information triggers the conditions of heavy overload or peak avoidance, it generates a regulation strategy for heavy overload or peak avoidance and distributes the regulation strategy to the designated source-load storage cluster through the mapping relationship, and causes the designated source-load storage cluster to execute the regulation strategy; wherein, the designated source-load storage cluster is the source-load storage cluster that is mapped to the feeder of heavy overload or the area of ​​peak avoidance among all source-load storage clusters.

8. An electronic device, characterized in that, The electronic device includes a memory and a processor. The memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of the source-storage-load coordinated regulation method as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed, it implements the steps of the source-storage-load coordinated regulation method as described in any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, wherein when the program instructions are executed by a computer, the computer performs the steps of the source-storage-load coordinated regulation method as described in any one of claims 1-6.

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