Multi-level multi-element power data scheduling method and system

Abstract

The invention relates to the technical field of power dispatching, and provides a multi-level multi-element power data dispatching method and system. Virtual generators corresponding to all levels of systems are constructed for a power distribution automation system, a local dispatching automation system and a provincial dispatching automation system which are connected with the distribution transformer intelligent terminal respectively, and calculation is carried out based on attribute values of all kinds of power attributes of the virtual generator corresponding to the previous level of system and attribute values of all kinds of power attributes of the virtual generator corresponding to the current level of system; obtaining target attribute values of various power attributes of a virtual generator corresponding to the provincial dispatching automation system; under the condition that the target attribute value is greater than a preset attribute value threshold value, generating a power data scheduling control instruction; and determining a target scheduling strategy based on the adjustable resource types, the attribute values of the various power attributes and the sign bits of the attribute values in the area to which the distribution transformer intelligent terminal belongs, so that the distribution transformer intelligent terminal executes the power data scheduling control instruction according to the target scheduling strategy. According to the embodiment of the invention, the power data scheduling efficiency and reliability are improved.

Description

Technical Field

[0001] This invention relates to the field of power dispatching technology, and in particular to a method and system for dispatching multi-level, multi-element power data. Background Technology

[0002] For power grid data dispatching involving multiple systems and various types, the traditional approach is to build a multi-system collaborative and interactive platform that aggregates data from multiple systems such as the control cloud platform, distribution automation system, and load management platform to achieve unified management.

[0003] While this approach enables the scheduling of multiple systems and various types of power grid data, the construction of a multi-system collaborative interaction platform requires merging models from different systems into a unified model for the entire network. Simultaneously, it necessitates aggregating and forwarding large amounts of real-time data from various systems, such as telemetry and telecontrol data, to this platform to achieve effective matching and linkage between the model and real-time data. This process not only requires deep fusion of heterogeneous models but also involves the continuous collection and forwarding of large-scale, multi-source real-time data, resulting in a large overall workload and significantly reducing scheduling efficiency.

[0004] Meanwhile, the frequent interaction of large amounts of data between different system platforms can easily lead to problems such as poor model consistency, data synchronization delays, and increased redundant interference, further reducing the reliability of scheduling results. Summary of the Invention

[0005] This invention provides a scheduling method and system for multi-level, multi-element power data, which can solve at least one of the above-mentioned technical problems.

[0006] In a first aspect, embodiments of the present invention provide a scheduling method for multi-level, multi-element power data, including: Obtain the attribute values ​​and sign bits of various power attributes in the virtual generator of the distribution transformer corresponding to the distribution transformer intelligent terminal; To construct virtual generators for each level of the distribution automation system, regional dispatch automation system, and provincial dispatch automation system connected to the distribution transformer intelligent terminal, and to calculate the target attribute values ​​of various power attributes of the virtual generators corresponding to the provincial dispatch automation system based on the attribute values ​​of various power attributes of the virtual generators corresponding to the previous level system and the attribute values ​​of various power attributes of the virtual generators corresponding to the current level system. When the target attribute values ​​of various power attributes of the virtual generator corresponding to the provincial dispatch automation system are greater than the preset attribute value threshold, a power data dispatch control command is generated. Based on the adjustable resource types within the distribution transformer area to which the distribution transformer intelligent terminal belongs, as well as the attribute values ​​and sign bits of the various power attributes, a target scheduling strategy is determined so that the distribution transformer intelligent terminal executes the power data scheduling control command according to the target scheduling strategy.

[0007] Secondly, embodiments of the present invention also provide a multi-level, multi-element power data scheduling system, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method described in any one of the embodiments of the present invention.

[0008] Thirdly, embodiments of the present invention also provide a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause a computer to perform the method described in any one of the embodiments of the present invention.

[0009] The technical solution of this invention firstly uses the attribute values ​​and sign bits of various power attributes in the virtual generators corresponding to the distribution transformer intelligent terminals as a basis. Virtual generators are constructed for each level of the distribution automation system connected to the distribution transformer intelligent terminals, the local dispatch automation system connected to the distribution automation system, and the provincial dispatch automation system connected to the local dispatch automation system. Power attributes are transferred and summarized level by level by calculating the attribute values ​​of various power attributes of the virtual generators corresponding to the previous level system and the virtual generators corresponding to the current level system, thus realizing the linkage processing of power data between each level of system. Finally, the target attribute values ​​of various power attributes of the virtual generators corresponding to the provincial dispatch automation system are obtained. Secondly, when the target attribute values ​​of various power attributes of the virtual generators corresponding to the provincial dispatch automation system are greater than a preset attribute value threshold, power data dispatch control instructions are generated to instruct each distribution transformer intelligent terminal in the distribution area to perform corresponding power adjustment behaviors. Finally, based on the adjustable resource types in the distribution area to which the distribution transformer intelligent terminal belongs and the attribute values ​​and sign bits of various power attributes of its corresponding virtual generators, a target dispatch strategy is determined, enabling the distribution transformer intelligent terminal to execute the received power data dispatch control instructions according to the target dispatch strategy. Thus, by constructing an upstream and downstream power linkage mechanism for distribution area resources based on virtual generators corresponding to multi-level systems, not only is a rapid closed-loop transmission of power data dispatching and control commands between the provincial dispatch center and the distribution transformer intelligent terminal realized, but also, this invention does not require splicing models but only needs to calculate the power data in two adjacent systems, reducing a large amount of data interaction between multiple platforms or systems, thereby effectively improving the efficiency and reliability of power data dispatching.

[0010] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0011] The accompanying drawings are provided for a better understanding of this solution and do not constitute a limitation of the invention. Wherein: Figure 1 This is a flowchart of a multi-level, multi-element power data scheduling method according to an embodiment of the present invention; Figure 2 This is a structural block diagram of a multi-level, multi-element power data scheduling device according to an embodiment of the present invention; Figure 3 This is a block diagram of an electronic device used to implement the methods of embodiments of the present invention. Detailed Implementation

[0012] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of the present invention, including various details to aid understanding. These details should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope of the invention. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0013] Figure 1 This is a flowchart of a multi-level, multi-element power data scheduling method according to an embodiment of the present invention.

[0014] like Figure 1 As shown, the scheduling method for multi-level, multi-element power data may include: S110, obtain the attribute values ​​and sign bits of various power attributes in the virtual generator of the distribution transformer corresponding to the distribution transformer intelligent terminal; S120: For the distribution automation system, regional dispatch automation system and provincial dispatch automation system connected to the distribution transformer intelligent terminal, construct virtual generators corresponding to each level of the system. Based on the attribute values ​​of various power attributes of the virtual generators corresponding to the previous level system, calculate the target attribute values ​​of various power attributes of the virtual generators corresponding to the current level system. S130: When the target attribute values ​​of various power attributes of the virtual generator corresponding to the provincial dispatch automation system are greater than the preset attribute value threshold, a power data dispatch control command is generated. S140 determines the target scheduling strategy based on the adjustable resource types within the distribution transformer area to which the distribution transformer intelligent terminal belongs, as well as the attribute values ​​and sign bits of various power attributes, so that the distribution transformer intelligent terminal executes power data scheduling control commands according to the target scheduling strategy.

[0015] In this embodiment of the invention, instead of constructing a multi-level collaborative interaction platform or splicing model, corresponding virtual generators are built for each level of the system. The attribute values ​​of various power attributes of the virtual generators corresponding to the previous level are calculated and passed down level by level, achieving power data linkage processing between each level of the system. This ultimately yields the target attribute values ​​of various power attributes for the virtual generators corresponding to the provincial dispatch automation system. Next, when the target attribute value exceeds a preset attribute value threshold, a power data dispatch control command is generated. This command instructs each distribution transformer intelligent terminal within the distribution area to perform corresponding power adjustment actions. Finally, based on the adjustable resource types within the distribution area to which the distribution transformer intelligent terminal belongs and the attribute values ​​and sign bits of various power attributes of its corresponding virtual generator, a target dispatch strategy is determined, enabling the distribution transformer intelligent terminal to execute the received power data dispatch control command according to the target dispatch strategy. Thus, by constructing an upstream and downstream power linkage mechanism for distribution area resources based on virtual generators corresponding to multi-level systems, not only is rapid closed-loop transmission of power data dispatching and control commands between the provincial dispatch center and distribution transformer intelligent terminals realized, but this invention also reduces a large amount of data interaction between multiple platforms or systems, thereby effectively improving the efficiency and reliability of power data dispatching.

[0016] For example, various power attributes include power attributes from multiple elements such as photovoltaics, energy storage, charging piles, and adjustable loads.

[0017] For example, the sign bit of the attribute value is represented by "+" and "-". The sign bit is used to reflect the direction of electrical energy flow or interaction in the power grid, and it specifically includes the following two meanings: Equipment (energy storage devices, charging piles, etc.) level meaning: When new power equipment such as energy storage devices and V2G charging piles (Vehicle-to-Grid Charging Pile) draw power from the grid, the sign bit of their power attribute is "+"; when the equipment supplies power to the grid, the sign bit of their power attribute is "−".

[0018] The meaning of feeder level: When the total power of the feeders composed of various adjustable resource types (e.g., power supply, adjustable load, etc.) in the transformer area is positive / "+", it indicates that the feeder is positively overloaded; when the total power of the feeders composed of various adjustable resource types in the transformer area is negative / "-", it indicates that the feeder is negatively overloaded or reversely supplied with power.

[0019] For example, the preset attribute value thresholds refer to the thresholds set during the scheduling strategy formulation process for various power attributes, based on factors such as network capacity and safety margin, to determine whether the power exceeds the limit. Different thresholds can be configured for each type of power attribute, and dynamic adjustments are supported based on equipment model, operating period, or urgency level. For instance, the attribute value thresholds for photovoltaic power, energy storage power, charging pile power, and adjustable load power are 400 kW (Kilowatt), 390 kW, 550 kW, and 230 kW, respectively.

[0020] It should be noted that this invention does not limit the threshold values ​​of photovoltaic power, energy storage power, charging pile power, and adjustable load power; these can be set according to actual needs.

[0021] For example, power data dispatch control commands refer to a set of commands generated in a provincial dispatch automation system for regulating and controlling the operation of the power grid, based on the comparison results of target attribute values ​​of various power attributes of virtual generators with preset thresholds. These commands can issue individual control commands for a single power attribute (such as photovoltaic power, charging pile power, adjustable load power, energy storage charging and discharging power, etc.), or issue overall control commands for the total power formed by the accumulation of multiple power attributes, to ensure the stable and safe operation of the virtual generator and its related systems.

[0022] For example, assuming the target attribute value of the photovoltaic power of the virtual generator is 120 kW and the preset threshold is 100 kW, if it exceeds 20 kW, then the power data dispatch control instruction is "to reduce the photovoltaic power of the distribution transformer smart terminal to 100 kW (or reduce it by 20 kW) so that the photovoltaic power returns to the threshold range".

[0023] For example, a target scheduling strategy is a specific operational plan used to guide intelligent terminals in executing power data scheduling and control commands. For instance, reducing the charging power of a charging station.

[0024] This can be understood as follows: the provincial dispatch automation system is responsible for calculating and issuing "how much to dispatch" (quantitative target), while the local distribution transformer intelligent terminal is responsible for "how to dispatch" (implementing according to strategy using local controllable resources). In this way, dispatch efficiency is greatly improved.

[0025] In one implementation, virtual generators are constructed for each level of the distribution automation system, regional dispatch automation system, and provincial dispatch automation system connected to the distribution transformer intelligent terminal. Based on the attribute values ​​of various power attributes of the virtual generators corresponding to the previous level system, and compared with the attribute values ​​of various power attributes of the virtual generators corresponding to the current level system, target attribute values ​​for various power attributes of the virtual generators corresponding to the provincial dispatch automation system are calculated. This includes: when the distribution automation system is determined as the current level system, the distribution transformer intelligent terminal is the previous level system; constructing virtual generators for each level of the distribution automation system, regional dispatch automation system, and provincial dispatch automation system, and calculating the target attribute values ​​for various power attributes of the virtual generators corresponding to the previous level system, and comparing them with the target attribute values ​​of various power attributes of the virtual generators corresponding to the current level system. The calculation of various power attribute values ​​of the virtual generator includes: for the distribution automation system, constructing a first virtual generator corresponding to the distribution automation system with 10kV (kilovolt) bus as the unit, and constructing a distribution transformer sub-virtual generator corresponding to the distribution transformer intelligent terminal; interactive communication between the distribution transformer sub-virtual generator corresponding to the distribution transformer intelligent terminal and the distribution transformer virtual generator, so that the distribution automation system can obtain the attribute values ​​of various power attributes of the distribution transformer virtual generator of the distribution transformer intelligent terminal; and classifying and summing the attribute values ​​of various power attributes of the distribution transformer virtual generator of the distribution transformer intelligent terminal with the first attribute values ​​of various power attributes of the first virtual generator to obtain the second attribute values ​​of various power attributes of the first virtual generator of the distribution automation system.

[0026] For example, the virtual generator of the distribution transformer belongs to the Transformer Terminal Unit (TTU) and is responsible for collecting and calculating the real-time power attributes of the physical distribution transformer equipment. The real-time power attributes include active power, reactive power, photovoltaic power, air conditioning power, charging pile power, energy storage charging and discharging power, etc.

[0027] For example, the distribution transformer virtual generator belongs to the distribution automation system (DA) and serves as a digital mirror within the distribution automation system (i.e., there is a one-to-one correspondence between the distribution transformer virtual generator and the distribution transformer virtual generator). It is used to receive the attribute values ​​of various power attributes of the distribution transformer virtual generator uploaded by the TTU.

[0028] For example, the first virtual generator is a virtual generator constructed by the distribution automation system in units of 10kV busbars. Its first attribute value is obtained by the distribution automation system through local acquisition devices and sensors, representing the power attribute at the busbar level.

[0029] For example, the second attribute value represents the aggregated power attribute at the 10kV bus level.

[0030] For example, the method by which virtual generators communicate with each other to enable the system to acquire data is as follows: a telemetry identifier (ID) and tele-signaling ID mapping table is defined in each level of the system. The current level system reports power data packets with telemetry IDs and tele-signaling IDs to itself through the communication protocol, so that the current level system can obtain the power data packets of the virtual generators corresponding to the previous level system. Subsequently, the current level system parses the power data packets based on the telemetry ID and tele-signaling ID parsing table, and based on the one-to-one correspondence between virtual generators and virtual sub-generators (the system maintains a virtual generator identifier mapping table, which can be used to find the virtual sub-generator corresponding to the virtual generator), locates / assigns the parsed power data to the corresponding virtual sub-generator in the current level system.

[0031] Among them, communication protocols include: IEC 60870-5-104 (International Electrotechnical Commission 60870-5-104), IEC 61850 MMS (International Electrotechnical Commission 61850 Manufacturing Message Specification), and DL / T 634.5104 (Power Industry Standard 634.5104).

[0032] In this example, the telemetry ID is used to uniquely identify the real-time measurement point of each power attribute (such as the photovoltaic power telemetry point of the distribution transformer virtual generator). The remote signaling ID is used to uniquely identify the switching status or event signal of the device (e.g., "closed" indicates that the power data of the telemetry ID corresponding to the remote signaling ID participates in power statistics, and "open" indicates that it does not participate in power statistics). A complete virtual generator identifier mapping table is maintained in the distribution automation system database, and the data of the distribution transformer virtual generator is mapped to the corresponding distribution transformer sub-virtual generator based on this table, ensuring accurate identification of the data source. The distribution transformer intelligent terminal periodically collects various power attribute data of the distribution transformer virtual generator and assigns a telemetry ID to each power attribute; simultaneously, it collects device status information and assigns the corresponding remote signaling ID. The TTU reports data packets with telemetry IDs and remote signaling IDs to the distribution automation system via communication protocols (such as IEC 60870-5-104). After receiving a message containing telemetry ID and teleindication ID, the distribution automation system uses the telemetry ID and teleindication ID parsing table to parse the power attribute data and locates the parsed power data to the corresponding distribution transformer virtual generator. Based on the teleindication ID, the system updates the device status of the distribution transformer virtual generator in real time (device status such as whether the device is in operation).

[0033] For example, the distribution automation system sums the power attribute values ​​(carried by the distribution transformer sub-virtual generators) received from the distribution transformer virtual generators with the first attribute values ​​collected by the first virtual generator of the distribution automation system itself (e.g., data collected by local sensors), according to the summation method for similar power attributes, to obtain the second attribute value of the first virtual generator. That is, the second attribute value of the first virtual generator includes the power data from the previous level system (distribution transformer intelligent terminal) and the power data collected by the current level system (distribution automation system).

[0034] For example, the power attributes of the virtual generator A in the distribution transformer and the corresponding telemetry ID and tele-signaling ID are shown in Table 1: Table 1 The real-time power attribute values ​​and device status of the virtual generator A in the distribution transformer are shown in Table 2: Table 2 The attribute values ​​of various local power attributes collected by the first virtual generator corresponding to the distribution automation system constructed with 10kV bus as the unit are shown in Table 3: Table 3 The power distribution automation system maintains a virtual generator mapping table, as shown in Table 4. Table 4 The distribution transformer virtual generator A sends the data from Tables 1 and 2 to the distribution automation system via a communication protocol (such as IEC 60870-5-104). The distribution automation system parses the data to obtain the parsing results. The system then looks up the corresponding distribution transformer sub-virtual generator AA in Table 4 and assigns the attribute values ​​of each power attribute from the parsing results to the corresponding sub-virtual generator AA. Based on the attribute values ​​of each power attribute in Table 3 and the sub-virtual generator AA, the system sums the values ​​according to the power attribute category to obtain the second attribute values ​​of the first virtual generator: photovoltaic power: 180 + 60 = 240 kW, air conditioning power: 120 + 35 = 155 kW, charging pile power: 90 + 25 = 115 kW, and energy storage power: 0 + 8 = 8 kW. In this way, the lower level first aggregates the power data at the distribution layer before reporting the summary results, which can reduce uplink bandwidth and data redundancy.

[0035] It should be noted that the interactive communication between the virtual generators mentioned later, enabling the system to obtain the attribute values ​​of various power attributes of the corresponding virtual generators, is implemented in the same way as the implementation shown in this example. Therefore, when discussing the implementation method of interactive communication between virtual generators to obtain data in the later sections, it will not be repeated. Please refer to "Interactive Communication between Distribution Transformer Sub-Virtual Generators Corresponding to Distribution Transformer Intelligent Terminals".

[0036] In one implementation, the method further includes: when the local dispatch automation system is determined to be the current level system, the distribution automation system is the previous level system; the local dispatch and provincial dispatch automation systems respectively construct virtual generators corresponding to each level system, and calculate based on the attribute values ​​of various power attributes of the virtual generators corresponding to the previous level system and the attribute values ​​of various power attributes of the virtual generators corresponding to the current level system, including: for the local dispatch automation system, constructing a local dispatch virtual generator corresponding to the local dispatch automation system on a 110kV bus basis, and constructing a second virtual generator corresponding to the distribution automation system; interactively communicating between the second virtual generator and the first virtual generator corresponding to the distribution automation system, so that the local dispatch automation system obtains the second attribute values ​​of various power attributes of the first virtual generator of the distribution automation system; and classifying and summing the second attribute values ​​of various power attributes of the first virtual generator of the distribution automation system with the first attribute values ​​of various attributes of the local dispatch virtual generator to obtain the second attribute values ​​of various power attributes of the local dispatch virtual generator of the local dispatch automation system.

[0037] For example, the first attribute value of various attributes of the local dispatch virtual generator is the real-time power data directly collected by the local dispatch automation system. For example, real-time power data of equipment such as large photovoltaic power plants, direct-connected loads, and energy storage systems directly connected to the 110 kV bus are collected.

[0038] For example, the second attribute value of various power attributes of the ground dispatch virtual generator includes the power data uploaded by the previous level system (distribution automation system) and the power (photovoltaic, air conditioning, charging pile, energy storage) data collected by the ground dispatch automation system at this level.

[0039] For example, the power data calculation for the distribution automation system (as the preceding system) and the local dispatch automation system (as the current system) is shown in Table 5. Table 5 According to the above implementation method, the second attribute value aggregates local data and data reported from lower levels, providing a data source for the next level system to aggregate power data. Furthermore, the local and lower-level data are redundant; data loss on one side can be compensated by the other, ensuring scheduling continuity and improving the robustness and fault tolerance of data scheduling.

[0040] In one implementation, the method further includes: when the provincial dispatch automation system is the primary system, the regional dispatch automation system is the secondary system; the provincial dispatch automation system constructs virtual generators corresponding to the primary system, and calculates the power attribute values ​​of the virtual generators corresponding to the secondary system and the power attribute values ​​of the virtual generators corresponding to the primary system based on the attribute values ​​of various power attributes of the virtual generators corresponding to the primary system, including: constructing provincial virtual generators corresponding to the provincial dispatch automation system on a 330kV main gateway basis, and constructing regional dispatch sub-virtual generators corresponding to the regional dispatch automation system; conducting interactive communication between the regional dispatch sub-virtual generators and the regional dispatch virtual generators to enable the provincial dispatch automation system to obtain the second attribute values ​​of various power attributes of the regional dispatch virtual generators of the regional dispatch automation system; and performing classification and summation of the second attribute values ​​of various power attributes of the regional dispatch virtual generators of the regional dispatch automation system and the first attribute values ​​of various attributes of the provincial dispatch virtual generators to obtain the target attribute values ​​of various power attributes of the provincial dispatch virtual generators of the provincial dispatch automation system.

[0041] For example, the first attribute value is the local real-time power attribute data directly collected by the provincial dispatch automation system and located at the 330 kV main gateway interface, which does not include power data uploaded by the lower-level dispatch.

[0042] For example, the first attribute value comes from a large power source (such as a power source supplied by ultra-high voltage, a large photovoltaic / wind power base), a large load, or an energy storage system that is directly connected within the provincial dispatch range.

[0043] For example, data can be acquired through a provincial supervisory control and data acquisition system (SCADA), an energy management system (EMS), or a real-time measurement and control system.

[0044] For example, the power data calculation for the regional dispatch automation system (as the preceding system) and the provincial dispatch automation system (as the current system) is shown in Table 6. Table 6 According to the above implementation method, the target attribute value integrates the first attribute value collected locally by the provincial dispatch automation system and the second attribute value uploaded by each lower-level system (or front-level system). That is, it includes both power generation and load information directly connected to the main grid, as well as distributed and regional data, avoiding misjudgments caused by dispatch decisions based solely on local data. Various power attributes such as photovoltaic, air conditioning, charging piles, and energy storage are calculated independently, and specific power dispatch instructions can be issued in a targeted manner (for example, reducing photovoltaic power by 100 kilowatts or increasing energy storage power by 50 kilowatts).

[0045] In one implementation, a target scheduling strategy is determined based on the adjustable resource types within the distribution transformer area to which the distribution transformer intelligent terminal belongs, as well as the attribute values ​​and sign bits of various power attributes. This includes: when the adjustable resource types within the distribution transformer intelligent terminal area include power sources and adjustable loads, summing the attribute values ​​of various power attributes to obtain a first total power attribute value; if the sign bit of the first total power attribute value is positive, then limiting the power consumption of adjustable loads is determined as the target scheduling strategy; if the sign bit of the first total power attribute value is negative, then reducing the power output is determined as the target scheduling strategy; wherein, a positive sign bit of the first total power attribute value indicates a positive overload on the feeder composed of power sources and adjustable loads within the distribution transformer area, and a negative sign bit of the first total power attribute value indicates a negative overload on the feeder composed of power sources and adjustable loads within the distribution transformer area.

[0046] For example, the first total power attribute value is obtained by summing the attribute values ​​of each power attribute within the transformer area, which includes adjustable resource types such as power supply and adjustable load. For instance, let the power attributes of photovoltaic, air conditioning, charging piles, and energy storage be denoted as P. 光 P 空 P 充 P 储 Then the first total power attribute value is P. 光 +P 空 +P 充 +P 储 .

[0047] For example, suppose the power data dispatch control instruction in step S130 is to adjust the total power attribute value of each power attribute to +10 kW. If the adjustable resource types within the distribution transformer intelligent terminal area include power sources and adjustable loads, assuming the photovoltaic power is -80 kW, the energy storage power is -20 kW, the air conditioning power is +140 kW, and the charging pile power is +50 kW, then the first total power attribute value = (-80) + (-20) + (+140) + (+50) = +90 kW. Here, +90 indicates that the sign bit of the first total power attribute value is positive and the first total power attribute value is 90 kW, meaning the feeder within the distribution area, composed of power sources and adjustable loads, is positively overloaded. Therefore, the target dispatch strategy is to restrict the power consumption of adjustable loads. Thus, the distribution transformer intelligent terminal executes the power data dispatch control instruction according to the target dispatch strategy, that is, the distribution transformer intelligent terminal adjusts the total power attribute value within its distribution area to +10 kW by restricting the power consumption of adjustable loads. The specific power adjustments for each adjustable resource device can be made according to actual needs. For example, the air conditioner can be reduced from 140kW to 80kW (i.e., a reduction of 60kW), and the charging pile can be reduced from 50kW to 30kW. In this way, numerical targets can be directly converted into device settings locally, with fast response and quantifiability.

[0048] Conversely, if the sign bit of the first total power attribute value is negative, its scheduling process is the same as that when the sign bit of the first total power attribute value is positive, and will not be repeated here.

[0049] In one implementation, a target scheduling strategy is determined based on the adjustable resource types within the distribution transformer area to which the distribution transformer smart terminal belongs, as well as the attribute values ​​and sign bits of various power attributes. This includes: when the adjustable resource types within the distribution transformer smart terminal area include power sources, adjustable loads, and charging piles, summing the attribute values ​​of various power attributes to obtain a second total power attribute value; if the sign bit of the second total power attribute value is positive, then reducing the charging power of the charging piles / or limiting load power consumption is determined as the target scheduling strategy; if the sign bit of the second total power attribute value is negative, then increasing the charging power of the charging piles / or reducing the power output is determined as the target scheduling strategy; wherein, a positive sign bit of the second total power attribute value indicates a positive overload on the feeder line composed of power sources, adjustable loads, and charging piles within the distribution transformer area, and a negative sign bit indicates a negative overload on the feeder line composed of power sources, adjustable loads, and charging piles within the distribution transformer area.

[0050] For example, the second total power attribute value represents the sum of the attribute values ​​of various power attributes within the transformer substation, including power supply, adjustable load, and charging pile.

[0051] For example, at least one power source, one adjustable load, and one charging station constitute a feeder with real-time topology connections.

[0052] According to the above implementation method, the power of the power supply, adjustable load, and charging pile is directly summed into a "second total power attribute value". This eliminates the need to analyze the status of multiple devices separately; the feeder is simply overloaded in either the forward or reverse direction based on the sign of the total power, simplifying the judgment logic and facilitating rapid response. Furthermore, in the case of a forward overload, power consumption is directly limited or the charging pile power is reduced to prevent line overload and protect equipment safety. In the case of a reverse overload, the load is increased (e.g., increasing the charging pile's charging power) or the power supply output is reduced, thereby preventing problems such as voltage rise caused by reverse power feeding.

[0053] In one implementation, a target scheduling strategy is determined based on the adjustable resource types within the distribution transformer area to which the distribution transformer smart terminal belongs, as well as the attribute values ​​and sign bits of various power attributes. This includes: when the adjustable resource types within the distribution transformer smart terminal area include power sources, adjustable loads, charging piles, and storage systems, summing the attribute values ​​of various power attributes to obtain a third total power attribute value; if the sign bit of the third total power attribute value is positive, then discharging the energy storage station / reducing the charging power of the charging piles / or limiting load power consumption is determined as the target scheduling strategy; if the sign bit of the third total power attribute value is negative, then charging the energy storage station / increasing the charging power of the charging piles / reducing the power output is determined as the target scheduling strategy; wherein, a positive sign bit of the third total power attribute value indicates a positive overload on the feeder within the distribution transformer area composed of power sources, adjustable loads, charging piles, and storage systems, and a negative sign bit indicates a negative overload on the feeder within the distribution transformer area composed of power sources, adjustable loads, charging piles, and storage systems.

[0054] For example, the third total power attribute value represents the sum of the attribute values ​​of various power attributes within the transformer area, including power supply, adjustable load, charging pile and storage system.

[0055] According to the above implementation method, by summing the power attributes of power sources, adjustable loads, charging piles, and energy storage systems, the status of all key adjustable resources within the distribution area can be comprehensively reflected, avoiding biases caused by a single resource perspective, thereby improving the accuracy and rationality of dispatching decisions. Based on the overload direction, multiple methods such as energy storage discharge / charging, charging pile power adjustment, load limiting, or power output adjustment can be dynamically selected to achieve multi-dimensional control of the power grid's operating status, enhancing the flexibility and adaptability of dispatching strategies.

[0056] In one implementation, a target scheduling strategy is determined based on the adjustable resource types within the distribution transformer intelligent terminal's area, as well as the attribute values ​​and sign bits of various power attributes. This includes: when the adjustable resource types within the distribution transformer intelligent terminal's area include power supply, adjustable load, charging pile, storage system, and power supply / / load that can be switched to another power supply, summing the attribute values ​​of various power attributes to obtain a fourth total power attribute value; if the sign bit of the fourth total power attribute value is positive, then the power supply is switched to a preset first feeder for operation / or the energy storage station discharges / or the charging pile is reduced by adjusting the operating mode. The target scheduling strategy is determined by the power consumption of the load / or the limitation of load power consumption. If the sign bit of the fourth total power attribute value is negative, the target scheduling strategy is determined by adjusting the operation mode to switch the load to the preset second feeder for operation / or charging at the energy storage station / or increasing the charging power of the charging pile / or reducing the power output. Among them, if the sign bit of the fourth total power attribute value is positive, it indicates that the feeder in the distribution area consisting of the power supply, adjustable load, charging pile and storage system is positively overloaded. If the sign bit of the fourth total power attribute value is negative, it indicates that the feeder in the distribution area consisting of the power supply, adjustable load, charging pile and storage system is negatively overloaded.

[0057] For example, the fourth total power attribute value represents the sum of the attribute values ​​of various power attributes within the transformer area, including power supply, adjustable load, charging pile, storage system, and power supply / or load.

[0058] For example, the first feeder is defined as the target feeder that the power supply adjusts to feed back to when the sign bit of the fourth total power attribute value is positive within the distribution transformer intelligent terminal area. That is, the first feeder is the feeder that receives power "backed back" by the power supply, carries the forward power flow, and in the event of a forward overload, the power supply feeds back to this feeder to alleviate the overload pressure on the feeders within the distribution area.

[0059] For example, the second feeder refers to the target feeder that the load is fed back to when the sign bit of the fourth total power attribute value is negative within the distribution transformer intelligent terminal area. That is, the second feeder is the feeder that receives the back-feeding load, it carries the negative power flow direction, and in the case of negative overload, the load is fed back to this feeder to alleviate the purpose of excessive load or reverse overload in the distribution area.

[0060] This can be understood as follows: the first feeder mainly corresponds to the power back-feed path on the power supply side, used to alleviate positive overload; the second feeder mainly corresponds to the power back-feed path on the load side, used to alleviate negative overload.

[0061] According to the above implementation method, by introducing an "adjustable feeder to power source / or load" operation mode, on the one hand, the system can not only adjust the power level, but also flexibly switch the feeder operation paths of load and power source, significantly enhancing the adjustment means and scope of the distribution network; on the other hand, by feeding back power source and load to different preset feeders, the distribution network operation topology is dynamically adjusted, the power flow path is optimized, the operating status of transformer substations is improved, and power quality and system stability are enhanced. In addition, the sign of the fourth total power attribute value is used to determine the positive or negative overload status of the feeder, and combined with the combined effect of multiple resources (power source feeder, energy storage regulation, charging pile power adjustment, load limiting, etc.), a multi-dimensional and multi-means overload mitigation strategy is formed, effectively reducing the overload risk of feeder equipment.

[0062] Figure 2 This is a structural block diagram of a multi-level, multi-element power data scheduling device according to an embodiment of the present invention.

[0063] like Figure 2 As shown, the scheduling device for multi-level, multi-element power data may include: The acquisition module 510 is used to acquire the attribute values ​​and sign bits of various power attributes in the virtual generator of the distribution transformer corresponding to the distribution transformer intelligent terminal; The construction module 520 is used to construct virtual generators corresponding to each level of the distribution automation system, the regional dispatch automation system and the provincial dispatch automation system connected to the distribution transformer intelligent terminal, and to calculate the target attribute values ​​of various power attributes of the virtual generator corresponding to the provincial dispatch automation system based on the attribute values ​​of various power attributes of the virtual generator corresponding to the previous level system and the attribute values ​​of various power attributes of the virtual generator corresponding to the current level system. The instruction generation module 530 is used to generate power data dispatch control instructions when the target attribute values ​​of various power attributes of the virtual generator corresponding to the provincial dispatch automation system are greater than the preset attribute value threshold. The execution module 540 is used to determine a target scheduling strategy based on the adjustable resource types within the distribution area to which the distribution transformer intelligent terminal belongs, as well as the attribute values ​​and sign bits of the various power attributes, so that the distribution transformer intelligent terminal executes the power data scheduling control command according to the target scheduling strategy.

[0064] In one implementation, the building module is specifically used for: When the power distribution automation system is identified as the current level system, the distribution transformer intelligent terminal is the previous level system; For the power distribution automation system, the regional dispatch automation system, and the provincial dispatch automation system, virtual generators corresponding to each level of the system are constructed. Based on the attribute values ​​of various power attributes of the virtual generators corresponding to the previous level system, calculations are performed using the attribute values ​​of various power attributes of the virtual generators corresponding to the current level system. These calculations include: For the aforementioned power distribution automation system, a first virtual generator corresponding to the power distribution automation system is constructed on a 10kV busbar basis, and a sub-virtual generator corresponding to the power distribution transformer intelligent terminal is also constructed. Based on the interaction and communication between the distribution transformer sub-virtual generator corresponding to the distribution transformer intelligent terminal and the distribution transformer virtual generator, the power distribution automation system obtains the attribute values ​​of various power attributes of the distribution transformer virtual generator of the distribution transformer intelligent terminal. The attribute values ​​of various power attributes of the distribution transformer virtual generator based on the distribution transformer intelligent terminal are classified and summed with the first attribute values ​​of various power attributes of the first virtual generator to obtain the second attribute values ​​of various power attributes of the first virtual generator of the distribution automation system.

[0065] In one implementation, it further includes: When the local dispatch automation system is identified as the current level system, the power distribution automation system is identified as the previous level system. The regional and provincial automated dispatch systems respectively construct virtual generators corresponding to each level of the system. Based on the attribute values ​​of various power attributes of the virtual generators corresponding to the previous level system, calculations are performed using the attribute values ​​of various power attributes of the virtual generators corresponding to the current level system, including: For the aforementioned dispatch automation system, a virtual generator corresponding to the dispatch automation system is constructed using 110kV busbars as the unit, and a second virtual generator corresponding to the distribution automation system is constructed. The second virtual generator corresponding to the power distribution automation system interacts and communicates with the first virtual generator so that the local dispatch automation system can obtain the second attribute values ​​of various power attributes of the first virtual generator of the power distribution automation system. The second attribute values ​​of various power attributes of the first virtual generator of the power distribution automation system are classified and summed with the first attribute values ​​of various attributes of the ground dispatch virtual generator to obtain the second attribute values ​​of various power attributes of the ground dispatch virtual generator of the power distribution automation system.

[0066] In one implementation, it further includes: When the provincial dispatch automation system is the system at this level, the regional dispatch automation system is the system at the previous level. The virtual generator corresponding to the provincial dispatch automation system is constructed based on the attribute values ​​of various power attributes of the virtual generator corresponding to the previous level system, and the attribute values ​​of various power attributes of the virtual generator corresponding to this level system. The calculations include: For the provincial dispatch automation system, a provincial virtual generator corresponding to the provincial dispatch automation system is constructed with the 330kV main gateway as the unit, and a regional dispatch sub-virtual generator corresponding to the regional dispatch automation system is constructed. Based on the interaction and communication between the virtual generator corresponding to the provincial dispatch automation system and the virtual generator, the provincial dispatch automation system obtains the second attribute values ​​of various power attributes of the virtual generator of the provincial dispatch automation system. The target attribute values ​​of various power attributes of the provincial dispatch virtual generator are obtained by classifying and summing the second attribute values ​​of various power attributes of the provincial dispatch virtual generator based on the second attribute values ​​of various power attributes of the provincial dispatch virtual generator in the provincial dispatch automation system.

[0067] In one implementation, the execution module is specifically used for: When the adjustable resource types in the distribution transformer intelligent terminal within the transformer area include power supply and adjustable load, the attribute values ​​of the various power attributes are summed to obtain the first total power attribute value; If the sign bit of the first total power attribute value is positive, then limiting the power consumption of adjustable loads will be determined as the target scheduling strategy; If the sign bit of the first total power attribute value is negative, then reducing power output will be determined as the target scheduling strategy; wherein, if the sign bit of the first total power attribute value is positive, it indicates that the feeder consisting of the power supply and the adjustable load in the distribution area is positively overloaded, and if the sign bit of the first total power attribute value is negative, it indicates that the feeder consisting of the power supply and the adjustable load in the distribution area is negatively overloaded.

[0068] In one implementation, the execution module is further specifically used for: When the adjustable resource types within the distribution transformer area of ​​the intelligent terminal include power supply, adjustable load and charging pile, the attribute values ​​of the various power attributes are summed to obtain the second total power attribute value. If the sign bit of the second total power attribute value is positive, then reducing the charging power of the charging pile / or limiting the load power consumption will be determined as the target scheduling strategy; If the sign bit of the second total power attribute value is negative, then increasing the charging power of the charging pile / or reducing the power output will be determined as the target scheduling strategy; wherein, if the sign bit of the second total power attribute value is positive, it indicates that the feeder consisting of the power supply, the adjustable load and the charging pile in the distribution area is positively overloaded, and if the sign bit of the second total power attribute value is negative, it indicates that the feeder consisting of the power supply, the adjustable load and the charging pile in the distribution area is negatively overloaded.

[0069] In one implementation, the execution module is further specifically used for: When the adjustable resource types within the distribution transformer area of ​​the intelligent terminal include power supply, adjustable load, charging pile and storage system, the attribute values ​​of the various power attributes are summed to obtain the third total power attribute value; If the sign bit of the third total power attribute value is positive, then discharging the energy storage station / or reducing the charging power of the charging pile / or limiting the load power consumption is determined as the target scheduling strategy; If the sign bit of the third total power attribute value is negative, then charging the energy storage station / increasing the charging power of the charging pile / reducing the power output is determined as the target scheduling strategy; wherein, if the sign bit of the third total power attribute value is positive, it indicates that the feeder composed of the power supply, the adjustable load, the charging pile and the storage system in the distribution area is positively overloaded, and if the sign bit of the third total power attribute value is negative, it indicates that the feeder composed of the power supply, the adjustable load, the charging pile and the storage system in the distribution area is negatively overloaded.

[0070] In one implementation, the execution module is further specifically used for: When the adjustable resource types in the distribution transformer intelligent terminal within the transformer area include power supply, adjustable load, charging pile, storage system, and power supply / or load that can be switched to, the attribute values ​​of the various power attributes are summed to obtain the fourth total power attribute value. If the sign bit of the fourth total power attribute value is positive, then adjusting the operating mode to switch the power supply to the preset first feeder for operation / or discharge the energy storage station / or reduce the charging power of the charging pile / or limit the load power consumption is determined as the target scheduling strategy; If the sign bit of the fourth total power attribute value is negative, then the target scheduling strategy is determined by adjusting the load to the preset second feeder operation / or charging at the energy storage station / or increasing the charging power of the charging pile / or reducing the power output; wherein, if the sign bit of the fourth total power attribute value is positive, it indicates that the feeder composed of the power supply, the adjustable load, the charging pile and the storage system in the distribution area is positively overloaded, and if the sign bit of the fourth total power attribute value is negative, it indicates that the feeder composed of the power supply, the adjustable load, the charging pile and the storage system in the distribution area is negatively overloaded.

[0071] The specific functions and examples of each module and submodule of the system in this embodiment of the invention can be found in the relevant descriptions of the corresponding steps in the above method embodiments, and will not be repeated here.

[0072] The acquisition, storage, and application of user personal information involved in the technical solution of this invention all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0073] This invention also provides a multi-level, multi-element power data scheduling system, comprising: At least one processor; and a memory communicatively connected to said at least one processor; The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the method described in any one of the embodiments of the present invention.

[0074] The beneficial effects of the multi-level, multi-element power data scheduling system of the present invention are equivalent to the beneficial effects of the above-described multi-level, multi-element power data scheduling method, and will not be repeated here.

[0075] This invention also provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause a computer to perform the method described in any one of the embodiments of this invention.

[0076] The beneficial effects of the storage medium of the present invention are equivalent to the beneficial effects of the above-mentioned multi-level and multi-element power data scheduling method, and will not be repeated here.

[0077] Figure 3 A schematic block diagram of an example electronic device 800 that can be used to implement embodiments of the present invention is shown. Electronic device 800 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic device 800 may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0078] like Figure 3As shown, the electronic device 800 includes a computing unit 801, which can perform various appropriate actions and processes based on a computer program stored in a read-only memory (ROM) 802 or a computer program loaded from a storage unit 808 into a random access memory (RAM) 803. The RAM 803 may also store various programs and data required for the operation of the electronic device 800. The computing unit 801, ROM 802, and RAM 803 are interconnected via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0079] Multiple components in electronic device 800 are connected to I / O interface 805, including: input unit 806, such as keyboard, mouse, etc.; output unit 807, such as various types of displays, speakers, etc.; storage unit 808, such as disk, optical disk, etc.; and communication unit 809, such as network card, modem, wireless transceiver, etc. Communication unit 809 allows electronic device 800 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0080] The computing unit 801 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs the various methods and processes described above, such as a multi-level, multi-factor power data scheduling method. For example, in some embodiments, the multi-level, multi-factor power data scheduling method can be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as storage unit 808. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 800 via ROM 802 and / or communication unit 809. When the computer program is loaded into RAM 803 and executed by the computing unit 801, one or more steps of the multi-level, multi-factor power data scheduling method described above can be performed. Alternatively, in other embodiments, the computing unit 801 may be configured, by any other suitable means (e.g., by means of firmware), to perform a scheduling method for multi-level, multi-element power data.

[0081] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0082] The program code used to implement the methods of the present invention can be written in any combination of one or more programming languages. This program code can be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code can be executed entirely on the machine, partially on the machine, as a standalone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0083] In the context of this invention, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0084] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0085] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0086] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0087] It should be understood that the various forms of processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this invention can be achieved, and this is not limited herein.

[0088] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the principles of this invention should be included within the scope of protection of this invention.

Claims

1. A scheduling method for multi-level, multi-element power data, characterized in that, include: Obtain the attribute values ​​and sign bits of various power attributes in the virtual generator of the distribution transformer corresponding to the distribution transformer intelligent terminal; To construct virtual generators for each level of the distribution automation system, regional dispatch automation system, and provincial dispatch automation system connected to the distribution transformer intelligent terminal, and to calculate the target attribute values ​​of various power attributes of the virtual generators corresponding to the provincial dispatch automation system based on the attribute values ​​of various power attributes of the virtual generators corresponding to the previous level system and the attribute values ​​of various power attributes of the virtual generators corresponding to the current level system. When the target attribute values ​​of various power attributes of the virtual generator corresponding to the provincial dispatch automation system are greater than the preset attribute value threshold, a power data dispatch control command is generated. Based on the adjustable resource types within the distribution transformer area to which the distribution transformer intelligent terminal belongs, as well as the attribute values ​​and sign bits of the various power attributes, a target scheduling strategy is determined so that the distribution transformer intelligent terminal executes the power data scheduling control command according to the target scheduling strategy.

2. The method according to claim 1, characterized in that, The distribution automation system, regional dispatch automation system, and provincial dispatch automation system connected to the distribution transformer intelligent terminal respectively construct virtual generators corresponding to each level of the system. Based on the attribute values ​​of various power attributes of the virtual generators corresponding to the previous level system, and the attribute values ​​of various power attributes of the virtual generators corresponding to the current level system, target attribute values ​​of various power attributes of the virtual generators corresponding to the provincial dispatch automation system are calculated to obtain the target attribute values ​​of various power attributes of the virtual generators corresponding to the provincial dispatch automation system, including: When the power distribution automation system is identified as the current level system, the distribution transformer intelligent terminal is the previous level system; For the power distribution automation system, the regional dispatch automation system, and the provincial dispatch automation system, virtual generators corresponding to each level of the system are constructed. Based on the attribute values ​​of various power attributes of the virtual generators corresponding to the previous level system, calculations are performed using the attribute values ​​of various power attributes of the virtual generators corresponding to the current level system. These calculations include: For the aforementioned power distribution automation system, a first virtual generator corresponding to the power distribution automation system is constructed on a 10kV busbar basis, and a sub-virtual generator corresponding to the power distribution transformer intelligent terminal is also constructed. Based on the interaction and communication between the distribution transformer sub-virtual generator corresponding to the distribution transformer intelligent terminal and the distribution transformer virtual generator, the power distribution automation system obtains the attribute values ​​of various power attributes of the distribution transformer virtual generator of the distribution transformer intelligent terminal. The attribute values ​​of various power attributes of the distribution transformer virtual generator based on the distribution transformer intelligent terminal are classified and summed with the first attribute values ​​of various power attributes of the first virtual generator to obtain the second attribute values ​​of various power attributes of the first virtual generator of the distribution automation system.

3. The method according to claim 2, characterized in that, Also includes: When the local dispatch automation system is identified as the current level system, the power distribution automation system is identified as the previous level system. The regional and provincial automated dispatch systems respectively construct virtual generators corresponding to each level of the system. Based on the attribute values ​​of various power attributes of the virtual generators corresponding to the previous level system, calculations are performed using the attribute values ​​of various power attributes of the virtual generators corresponding to the current level system, including: For the aforementioned dispatch automation system, a virtual generator corresponding to the dispatch automation system is constructed using 110kV busbars as the unit, and a second virtual generator corresponding to the distribution automation system is constructed. The second virtual generator corresponding to the power distribution automation system interacts and communicates with the first virtual generator so that the local dispatch automation system can obtain the second attribute values ​​of various power attributes of the first virtual generator of the power distribution automation system. The second attribute values ​​of various power attributes of the first virtual generator of the power distribution automation system are classified and summed with the first attribute values ​​of various attributes of the ground dispatch virtual generator to obtain the second attribute values ​​of various power attributes of the ground dispatch virtual generator of the power distribution automation system.

4. The method according to claim 3, characterized in that, Also includes: When the provincial dispatch automation system is the system at this level, the regional dispatch automation system is the system at the previous level. The virtual generator corresponding to the provincial dispatch automation system is constructed based on the attribute values ​​of various power attributes of the virtual generator corresponding to the previous level system, and the attribute values ​​of various power attributes of the virtual generator corresponding to this level system. The calculations include: For the provincial dispatch automation system, a provincial virtual generator corresponding to the provincial dispatch automation system is constructed with the 330kV main gateway as the unit, and a regional dispatch sub-virtual generator corresponding to the regional dispatch automation system is constructed. Based on the interaction and communication between the virtual generator corresponding to the provincial dispatch automation system and the virtual generator, the provincial dispatch automation system obtains the second attribute values ​​of various power attributes of the virtual generator of the provincial dispatch automation system. The target attribute values ​​of various power attributes of the provincial dispatch virtual generator are obtained by classifying and summing the second attribute values ​​of various power attributes of the provincial dispatch virtual generator based on the second attribute values ​​of various power attributes of the provincial dispatch virtual generator in the provincial dispatch automation system.

5. The method according to claim 1, characterized in that, The determination of the target scheduling strategy based on the adjustable resource types within the distribution transformer area to which the intelligent distribution terminal belongs, and the attribute values ​​and sign bits of various power attributes, includes: When the adjustable resource types in the distribution transformer intelligent terminal within the transformer area include power supply and adjustable load, the attribute values ​​of the various power attributes are summed to obtain the first total power attribute value; If the sign bit of the first total power attribute value is positive, then limiting the power consumption of adjustable loads will be determined as the target scheduling strategy; If the sign bit of the first total power attribute value is negative, then reducing power output will be determined as the target scheduling strategy; wherein, if the sign bit of the first total power attribute value is positive, it indicates that the feeder consisting of the power supply and the adjustable load in the distribution area is positively overloaded, and if the sign bit of the first total power attribute value is negative, it indicates that the feeder consisting of the power supply and the adjustable load in the distribution area is negatively overloaded.

6. The method according to claim 1, characterized in that, The determination of the target scheduling strategy based on the adjustable resource types within the distribution transformer area to which the intelligent distribution terminal belongs, and the attribute values ​​and sign bits of various power attributes, includes: When the adjustable resource types within the distribution transformer area of ​​the intelligent terminal include power supply, adjustable load and charging pile, the attribute values ​​of the various power attributes are summed to obtain the second total power attribute value. If the sign bit of the second total power attribute value is positive, then reducing the charging power of the charging pile / or limiting the load power consumption will be determined as the target scheduling strategy; If the sign bit of the second total power attribute value is negative, then increasing the charging power of the charging pile / or reducing the power output will be determined as the target scheduling strategy; wherein, if the sign bit of the second total power attribute value is positive, it indicates that the feeder consisting of the power supply, the adjustable load and the charging pile in the distribution area is positively overloaded, and if the sign bit of the second total power attribute value is negative, it indicates that the feeder consisting of the power supply, the adjustable load and the charging pile in the distribution area is negatively overloaded.

7. The method according to claim 1, characterized in that, The determination of the target scheduling strategy based on the adjustable resource types within the distribution transformer area to which the intelligent distribution terminal belongs, and the attribute values ​​and sign bits of various power attributes, includes: When the adjustable resource types within the distribution transformer area of ​​the intelligent terminal include power supply, adjustable load, charging pile and storage system, the attribute values ​​of the various power attributes are summed to obtain the third total power attribute value; If the sign bit of the third total power attribute value is positive, then discharging the energy storage station / or reducing the charging power of the charging pile / or limiting the load power consumption is determined as the target scheduling strategy; If the sign bit of the third total power attribute value is negative, then charging the energy storage station / increasing the charging power of the charging pile / reducing the power output is determined as the target scheduling strategy; wherein, if the sign bit of the third total power attribute value is positive, it indicates that the feeder composed of the power supply, the adjustable load, the charging pile and the storage system in the distribution area is positively overloaded, and if the sign bit of the third total power attribute value is negative, it indicates that the feeder composed of the power supply, the adjustable load, the charging pile and the storage system in the distribution area is negatively overloaded.

8. The method according to claim 1, characterized in that, The determination of the target scheduling strategy based on the adjustable resource types within the distribution transformer area to which the intelligent distribution terminal belongs, and the attribute values ​​and sign bits of various power attributes, includes: When the adjustable resource types in the distribution transformer intelligent terminal within the transformer area include power supply, adjustable load, charging pile, storage system, and power supply / or load that can be switched to, the attribute values ​​of the various power attributes are summed to obtain the fourth total power attribute value. If the sign bit of the fourth total power attribute value is positive, then adjusting the operating mode to switch the power supply to the preset first feeder for operation / or discharge the energy storage station / or reduce the charging power of the charging pile / or limit the load power consumption is determined as the target scheduling strategy; If the sign bit of the fourth total power attribute value is negative, then the target scheduling strategy is determined by adjusting the load to the preset second feeder operation / or charging at the energy storage station / or increasing the charging power of the charging pile / or reducing the power output; wherein, if the sign bit of the fourth total power attribute value is positive, it indicates that the feeder composed of the power supply, the adjustable load, the charging pile and the storage system in the distribution area is positively overloaded, and if the sign bit of the fourth total power attribute value is negative, it indicates that the feeder composed of the power supply, the adjustable load, the charging pile and the storage system in the distribution area is negatively overloaded.

9. A dispatching system for coordinated optimization of distribution microgrids, characterized in that, include: At least one processor; and a memory communicatively connected to the at least one processor; The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-8.

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