Cooperative operation control method, device and equipment of power distribution network, medium and product

Abstract

The invention relates to a cooperative operation control method, device and equipment of a power distribution network, a medium and a product, and relates to the field of distributed power supply control. The method comprises the following steps: determining a target operation mode for adjusting measurement data of a target control object in a regional power distribution network; acquiring first measurement data of the target control object under the output of the first distributed power supply and second measurement data of the target control object under the output of the second distributed power supply; determining the output sensitivity and control error of the distributed power supply according to the first measurement data and the second measurement data; obtaining an initialized control mapping matrix according to the output sensitivity of the distributed power supply; under the condition that the control error is greater than or equal to a preset error threshold value, according to the initialized control mapping matrix, solving the reactive power output control model of the power supply in the target operation mode to obtain the reactive power output power of the target distributed power supply; and controlling the reactive power output of the distributed power supplies in the region according to the target reactive power output power of the distributed power supplies.

Description

Technical Field

[0001] The present application relates to the field of distributed power supply control technology, and in particular to methods, devices, equipment, media and products for coordinated operation control of distribution networks. Background Art

[0002] The integration of a high proportion of distributed generation (DG) has exacerbated the randomness and volatility of the distribution network, easily causing power fluctuations, reverse power flow and other problems during operation, posing challenges to the operation and regulation of the distribution network.

[0003] Traditional distributed power generation (DG) operation control methods are primarily based on precise physical parameters within the distribution network. However, the complex operating conditions of actual systems make it difficult to obtain these precise physical parameters, resulting in an inability to accurately control DG operation. Furthermore, as distribution networks grow larger and their components become increasingly complex, the massive amounts of data pose a significant burden on transmission, storage, and computing. Traditional DG operation control methods struggle to meet the real-time demands of distribution network operation control.

[0004] Therefore, how to accurately and quickly control the operation of distributed power sources is an urgent problem to be solved. Summary of the Invention

[0005] Based on this, it is necessary to provide a method, device, equipment, medium and product for coordinated operation control of distribution network that can accurately and quickly control the operation of distributed power sources in order to solve the above technical problems.

[0006] In a first aspect, the present application provides a method for collaborative operation control of a distribution network, which is applied to edge computing devices deployed in various areas of a multi-area distribution network, and the method includes:

[0007] Determining a target operating mode for adjusting measurement data of a target control object in a regional distribution network;

[0008] Acquire first measurement data of the target control object under the output of the first distributed power source, and second measurement data of the target control object under the output of the second distributed power source;

[0009] Determining the sensitivity and control error of the distributed power output based on the first measurement data and the second measurement data;

[0010] Initializing the control mapping matrix under the target operation mode according to the sensitivity of the distributed power output to obtain an initialized control mapping matrix; wherein the control mapping matrix is ​​used to represent the relationship between the reactive output power of the distributed power and the measured data of the target control object;

[0011] When the control error is greater than or equal to the preset error threshold, the reactive output control model of the power supply under the target operation mode is iteratively solved according to the initialized control mapping matrix to obtain the target distributed power reactive output power;

[0012] According to the target reactive output power of distributed power sources, the reactive output of distributed power sources in the area is controlled.

[0013] In a second aspect, the present application further provides a coordinated operation control device for a distribution network, configured on edge computing devices deployed in each area of ​​a multi-area distribution network, including:

[0014] A first determination module is used to determine a target operation mode for adjusting measurement data of a target control object in a regional distribution network;

[0015] an acquisition module, configured to acquire first measurement data of a target control object under the output of a first distributed power source, and second measurement data of the target control object under the output of a second distributed power source;

[0016] A second determination module is used to determine the sensitivity and control error of the distributed power output according to the first measurement data and the second measurement data;

[0017] An initialization module is used to initialize the control mapping matrix under the target operation mode according to the sensitivity of the distributed power output to obtain an initialized control mapping matrix; wherein the control mapping matrix is ​​used to represent the relationship between the reactive output power of the distributed power source and the measured data of the target control object;

[0018] A solution module is used to iteratively solve the power reactive output control model under the target operation mode according to the initialized control mapping matrix when the control error is greater than or equal to the preset error threshold, so as to obtain the target distributed power reactive output power;

[0019] The control module is used to control the reactive output of distributed power sources in the area according to the target reactive output power of the distributed power sources.

[0020] In a third aspect, the present application also provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented: determining a target operating mode for adjusting the measurement data of a target control object in a regional distribution network; obtaining first measurement data of the target control object under the output of a first distributed power source, and second measurement data of the target control object under the output of a second distributed power source; determining the sensitivity and control error of the distributed power source output based on the first measurement data and the second measurement data; initializing a control mapping matrix under the target operating mode based on the sensitivity of the distributed power source output to obtain an initialized control mapping matrix; wherein the control mapping matrix is ​​used to characterize the relationship between the reactive output power of the distributed power source and the measurement data of the target control object; when the control error is greater than or equal to a preset error threshold, the reactive output control model of the power source under the target operating mode is iteratively solved based on the initialized control mapping matrix to obtain the target distributed power source reactive output power; and controlling the reactive output of the distributed power sources in the region based on the target distributed power source reactive output power.

[0021] In a fourth aspect, the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the following steps: determining a target operating mode for adjusting the measurement data of a target control object in a regional distribution network; obtaining first measurement data of the target control object under the output of a first distributed power source, and second measurement data of the target control object under the output of a second distributed power source; determining the sensitivity and control error of the distributed power source output based on the first measurement data and the second measurement data; initializing a control mapping matrix under the target operating mode based on the sensitivity of the distributed power source output to obtain an initialized control mapping matrix; wherein the control mapping matrix is ​​used to characterize the relationship between the reactive output power of the distributed power source and the measurement data of the target control object; when the control error is greater than or equal to a preset error threshold, iteratively solving the reactive output control model of the power source under the target operating mode based on the initialized control mapping matrix to obtain the target distributed power source reactive output power; and controlling the reactive output of the distributed power sources in the region based on the target distributed power source reactive output power.

[0022] In a fifth aspect, the present application also provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps: determining a target operating mode for adjusting the measurement data of a target control object in a regional distribution network; obtaining first measurement data of the target control object under the output of a first distributed power source, and second measurement data of the target control object under the output of a second distributed power source; determining the sensitivity and control error of the distributed power source output based on the first measurement data and the second measurement data; initializing a control mapping matrix under the target operating mode based on the sensitivity of the distributed power source output to obtain an initialized control mapping matrix; wherein the control mapping matrix is ​​used to characterize the relationship between the reactive output power of the distributed power source and the measurement data of the target control object; when the control error is greater than or equal to a preset error threshold, iteratively solving the reactive output control model of the power source under the target operating mode based on the initialized control mapping matrix to obtain the target distributed power source reactive output power; and controlling the reactive output of the distributed power sources in the region based on the target distributed power source reactive output power.

[0023] The above-mentioned coordinated operation control method, device, computer equipment, computer-readable storage medium and computer program product of the distribution network, the edge computing equipment in each area uses real-time measurement data to iteratively solve the power reactive output control model under the target operation mode, and obtain the target distributed power reactive output power of the region under the target operation mode, which can realize the use of data-driven control of the distributed power reactive output. Compared with the traditional distributed power operation control method, the above process can effectively overcome the limitation of requiring the use of precise physical parameters, and can accurately control the operation of the distributed power without the need for precise physical parameters. In addition, the above process is applied to the edge computing devices deployed in each area of ​​the multi-area distribution network, which can integrate data collection, storage, calculation and control on the edge computing devices in each area, reducing the data transmission burden and calculation pressure brought by a large amount of data to the centralized computing equipment, improving the efficiency of solving the reactive output power of the distributed power, and thereby improving the operation control efficiency of the distributed power. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0025] Figure 1 1 is a flow chart of a method for controlling coordinated operation of a distribution network in one embodiment;

[0026] Figure 2 This is a step of determining a target operating mode in one embodiment;

[0027] Figure 3 1 is a flow chart of steps for determining the sensitivity of a distributed power supply output in one embodiment;

[0028] Figure 4 1 is a flow chart of a coordinated operation control method for a power distribution network according to another embodiment;

[0029] Figure 5 A network topology diagram of a multi-region power distribution network in one embodiment;

[0030] Figure 6 A schematic diagram showing the distribution of operating modes of a regional power distribution network in various time periods in one embodiment;

[0031] Figure 7 Schematic diagram of voltage changes with iteration number in scheme 2 and scheme 3 in one embodiment;

[0032] Figure 8 Schematic diagram of the change of photovoltaic reactive output power in different areas with the number of iterations under the control of solution 2 in one embodiment;

[0033] Figure 9 Schematic diagram of the change of reactive output power of wind turbines in different areas with the number of iterations under the control of solution 2 in one embodiment;

[0034] Figure 10 is a structural block diagram of a coordinated operation control device for a distribution network in one embodiment;

[0035] Figure 11 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0037] In an exemplary embodiment, Figure 1 As shown, a coordinated operation control method for a distribution network is provided, which can be applied to edge computing devices deployed in various areas of a multi-area distribution network, including steps S110 to S160:

[0038] S110: Determine a target operation mode for adjusting measurement data of a target control object in a regional distribution network.

[0039] The term "regional distribution network" may be understood as any regional distribution network included in a multi-regional distribution network. A regional distribution network may include at least one node. Each node may be connected to at least one distributed power source and / or at least one load. Distributed power sources may include at least one of photovoltaic and wind turbines.

[0040] The target control object may be understood as a control object corresponding to the target operation mode. The target operation mode may adjust the measurement data of the target control object so that the measurement data of the target control object is within the corresponding measurement data reference range.

[0041] The operating modes may include at least one of the following: voltage control mode, load balancing control mode, economic operation control mode, and hybrid control mode. Different operating modes may correspond to different control objects. Optionally, each operating mode may correspond to at least one control object. For example, the voltage control mode corresponds to the node voltage; the load balancing control mode corresponds to the line current; the economic operation control mode corresponds to the line current; and the hybrid control mode corresponds to both the node voltage and the line current.

[0042] In an optional embodiment, the mode identifier within the region can be obtained to determine the target operating mode within the region. For example, if the mode identifier of a certain operating mode is 1 and the mode identifiers of all other operating modes are 0, the operating mode with the mode identifier of 1 can be used as the target operating mode. It should be noted that within the same time period, there can be only one operating mode for the regional distribution network.

[0043] S120: Acquire first measurement data of the target control object under the output of the first distributed power source, and second measurement data of the target control object under the output of the second distributed power source.

[0044] The first measurement data and the second measurement data may be understood as measurement data of a target control object in a target operation mode.

[0045] The output of the first distributed power source and the output of the second distributed power source may be preset. Optionally, the output of the first distributed power source and the output of the second distributed power source may be preset at two adjacent moments. The output of the first distributed power source is different from the output of the second distributed power source. The output of the first distributed power source may include the active power output of the first distributed power source and the reactive power output of the first distributed power source. The output of the second distributed power source may include the active power output of the second distributed power source and the reactive power output of the second distributed power source.

[0046] After the regional distribution network is controlled using the output of the first distributed power source, first measurement data of the target control object under the output of the first distributed power source can be obtained. After the regional distribution network is controlled using the output of the second distributed power source, second measurement data of the target control object under the output of the second distributed power source can be obtained.

[0047] S130: Determine the sensitivity and control error of the distributed power output according to the first measurement data and the second measurement data.

[0048] The sensitivity of the distributed power output can be understood as the degree to which the measured data changes with the change of the distributed power output.

[0049] In an optional embodiment, the sensitivity of the distributed power output may be determined based on a change in the distributed power output and a change in the measurement data.

[0050] Optionally, the sensitivity of the distributed power output may include at least one of the distributed power output active power sensitivity and the distributed power output reactive power sensitivity.

[0051] In an optional embodiment, the value may be determined based on the change in the active power output of the distributed power source and the change in the corresponding measurement data. In an optional embodiment, the value may be determined based on the change in the reactive power output of the distributed power source and the change in the corresponding measurement data.

[0052] Among them, the control error can be understood as the difference in measurement data corresponding to the output of the distributed power supply.

[0053] S140: Initializing a control mapping matrix under a target operation mode according to the sensitivity of the distributed power output to obtain an initialized control mapping matrix; wherein the control mapping matrix is ​​used to characterize the relationship between the reactive output power of the distributed power and the measured data of the target control object.

[0054] In an optional embodiment, the sensitivity of the distributed power output may be input into the control mapping matrix under the target operation mode to obtain an initialized control mapping matrix.

[0055] S150: When the control error is greater than or equal to a preset error threshold, the reactive output control model of the power supply in the target operation mode is iteratively solved according to the initialized control mapping matrix to obtain the target reactive output power of the distributed power supply.

[0056] The reactive output control model of the power supply in the target operation mode can be constructed based on the reactive output power of the distributed power supply, the measurement data of the target control object and the control mapping matrix.

[0057] In an optional embodiment, the reactive output power of the distributed power source at time t, The reactive output power of the distributed generation at time t, the measured data of the target control object at time t under the target operation mode, the control mapping matrix under the target operation mode and The equivalent estimated data of the target control object at the moment is used to build the power reactive output control model under the target operation mode.

[0058] For example, the reactive power output control model of the power supply in the voltage control mode can be expressed as:

[0059] (1)

[0060] In formula (1), is the area number, express Time zone The estimated equivalent voltage of is the node voltage measurement vector at time t, and are time t and Time zone The reactive power output vector of distributed generation is Represents the area at time t Control mapping matrix in voltage control mode.

[0061] For example, the reactive power output control model of the power supply in the load balancing control mode can be expressed as:

[0062] (2)

[0063] In formula (2), is the area number, express Time zone The estimated equivalent load of For the moment The line current vector measurement, and They are Moment and Time zone The reactive power output vector of distributed generation is express Time zone Control mapping matrix in load balancing control mode.

[0064] For example, the reactive power output control model of the power supply in the economic operation control mode can be expressed as:

[0065] (3)

[0066] In formula (3), is the area number, express Time zone The estimated value of equivalent network loss is For the moment The equivalent network loss measurement vector, and They are Moment and Time zone The reactive power output vector of distributed generation is express Time zone Control mapping matrix under economic operation control mode, where the equivalent network loss can be understood as the square value of the line current.

[0067] For example, the reactive power output control model of the power supply in the hybrid control mode can be expressed as:

[0068] (4)

[0069] In formula (4), is the area number, express Time zone The equivalent mixed estimate of For the moment The equivalent mixed measurement vector of and They are Moment and Time zone The reactive power output vector of distributed generation is express Time zone Control mapping matrix in hybrid control mode.

[0070] For example, Time zone Control mapping matrix in voltage control mode , control mapping matrix in load balancing control mode , control mapping matrix under economic operation control mode , control mapping matrix in hybrid control mode It can be expressed as:

[0071] (5)

[0072] In formula (5), for Time zone The estimated value of the unified representation can be taken as 、 、 、 , To unify the representation of the control mode mapping matrix, it can be taken as 、 、 、 , express Time zone The change in reactive output of distributed generation, express Time zone The control mode mapping matrix estimate value is expressed in a unified form and can be taken as 、 、 、 , For the region The control mapping matrix weight coefficient.

[0073] In an optional embodiment, the control mapping matrix under the target operating mode can be iteratively solved based on the initial control mapping matrix, and then the power supply reactive output control model under the target operating mode can be iteratively solved according to the obtained control mapping matrix to obtain the target distributed power supply reactive output power.

[0074] For example, the control mapping matrix can be iteratively solved according to the following formula (6):

[0075] (6)

[0076] (7)

[0077] In formula (6), express Time zone The equivalent measurement change of For the region The weight coefficient of .

[0078] In an optional embodiment, the reactive power output control model of the power supply in the target operation mode satisfies the minimum deviation between the measured data and the reference data of the target control object within the region and the minimum deviation between the measured data and the reference data of the target control object between adjacent regions. In this case, the reactive power output control model of the power supply in the target operation mode can be expressed as:

[0079] (8)

[0080] In formula (8), express Time zone Equivalent measurement estimate, For the region The weight coefficient of the control variable.

[0081] Based on the control mapping matrix obtained from formula (6), formula (8) is solved using the gradient descent method to obtain the target distributed generation reactive output power, which is specifically expressed as:

[0082] (9)

[0083] (10)

[0084] In formula (9), and They are Moment and Time zone The reactive power output vector of distributed generation is To unify the representation of the control mode mapping matrix, it can be taken as 、 、 、 , To measure the unified representation, the value can be 、 、 and , For the region The control variable weight coefficient. In formula (10), and They are the upper limit and lower limit of reactive output of distributed power sources respectively.

[0085] S160: Controlling the reactive output of distributed power sources in the area according to the target reactive output power of the distributed power sources.

[0086] In the above-mentioned coordinated operation control method of the distribution network, the edge computing devices in each area use real-time measurement data to iteratively solve the reactive power output control model of the power supply under the target operation mode, and obtain the target distributed power reactive output power of the region under the target operation mode. This can realize the control of the reactive output of the distributed power supply in a data-driven manner. Compared with the traditional distributed power operation control method, the above process can effectively overcome the limitation of requiring the use of precise physical parameters, and can accurately control the operation of the distributed power supply without the need for precise physical parameters. In addition, the above process is applied to the edge computing devices deployed in each area of ​​the multi-area distribution network, which can integrate data collection, storage, calculation and control on the edge computing devices in each area, reducing the data transmission burden and computing pressure brought by a large amount of data to the centralized computing equipment, improving the efficiency of solving the reactive output power of the distributed power supply, and thereby improving the operation control efficiency of the distributed power supply.

[0087] In an exemplary embodiment, the step of determining a target operation mode for adjusting the measurement data of a target control object in a regional distribution network is refined. Figure 2 As shown, the steps of determining the target operating mode include S210 to S230.

[0088] S210: Acquire initial measurement data and a corresponding measurement data reference range of at least one candidate control object within the area.

[0089] The candidate control objects may include at least one of a node voltage and a line current.

[0090] The measurement data reference range can be understood as the data range that the measurement data of the corresponding candidate control object should be in. The measurement data reference range can be preset. Optionally, the measurement data reference range corresponding to different candidate control objects can be different.

[0091] Illustratively, the reference range for the measurement data corresponding to the node voltage can be that the measurement data of the node voltage is equal to the lower limit of the voltage reference vector, or is greater than the lower limit of the voltage reference vector and less than the upper limit of the voltage reference vector, or is equal to the upper limit of the voltage reference vector. The reference range for the measurement data corresponding to the line current can be that the measurement data of the line current is less than the upper limit of the line current vector (optionally, the upper limit of the line current vector can be determined in the economic operation control mode).

[0092] S220: For each candidate control object, determine an inclusion relationship between the initial measurement data and a corresponding measurement data reference range.

[0093] The inclusion relationship may be understood as whether the initial measurement data of the candidate control object is included in the corresponding measurement data reference range.

[0094] S230: Determine a target operating mode according to at least one preset inclusion relationship and an inclusion relationship in at least one candidate operating mode.

[0095] Wherein, under each candidate operation mode, there is a preset inclusion relationship between the measurement data of at least one candidate control object and the corresponding measurement data reference range.

[0096] Exemplarily, in the voltage control mode, the preset inclusion relationship between a node voltage and a corresponding measurement data reference range is: if the node voltage measurement data exceeds the corresponding measurement data reference range, that is, the node voltage measurement data is less than the lower limit of the voltage reference vector or greater than the upper limit of the voltage reference vector. The preset inclusion relationship between the line current measurement data and the corresponding measurement data reference range is: if the line current measurement data is within the corresponding measurement data reference range, that is, the line current measurement data is less than the upper limit of the line current vector.

[0097] In the load balancing control mode, the default inclusion relationship between the node voltage and the corresponding measurement data reference range is: the node voltage measurement data is within the corresponding measurement data reference range, that is, the node voltage measurement data is equal to the voltage reference vector lower limit, or is greater than the voltage reference vector lower limit and less than the voltage reference vector upper limit, or is equal to the voltage reference vector upper limit. The default inclusion relationship between the line current measurement data and the corresponding measurement data reference range is: the line current measurement data exceeds the corresponding measurement data reference range, that is, the line current measurement data is greater than or equal to the line current vector upper limit.

[0098] In the economic operation control mode, the preset inclusion relationship between the node voltage measurement data and the corresponding measurement data reference range is: the node voltage measurement data is within the corresponding measurement data reference range, that is, the node voltage measurement data is equal to the voltage reference vector lower limit, or is greater than the voltage reference vector lower limit and less than the voltage reference vector upper limit, or is equal to the voltage reference vector upper limit. The preset inclusion relationship between the line current measurement data and the corresponding measurement data reference range is: the line current measurement data is within the corresponding measurement data reference range, that is, the line current measurement data is less than the line current vector upper limit.

[0099] In hybrid control mode, the default inclusion relationship between node voltage measurement data and the corresponding measurement data reference range is: if the node voltage measurement data exceeds the corresponding measurement data reference range, that is, the node voltage measurement data is less than the voltage reference vector lower limit or greater than the voltage reference vector upper limit. The default inclusion relationship between line current measurement data and the corresponding measurement data reference range is: if the line current measurement data exceeds the corresponding measurement data reference range, that is, the line current measurement data is greater than or equal to the line current vector upper limit.

[0100] In an optional embodiment, the mode identification bit of at least one candidate operating mode can be assigned a value based on at least one preset inclusion relationship and inclusion relationship in at least one candidate operating mode; and the target operating mode is determined based on the assigned mode identification bit.

[0101] For example, the mode identification bit assignment for at least one candidate operating mode may be determined according to the following formula:

[0102] (11)

[0103] (12)

[0104] In formula (11), For the moment The system operation mode identification bit, is a collection of operating modes, They represent voltage control mode, load balancing control mode, economic operation control mode, and hybrid control mode respectively. For the moment The measurement vector of the node voltage, are the voltage reference vector lower limit and the voltage reference vector upper limit, respectively. For the moment The measurement vector of the line current, is the upper limit of the line current vector. In formula (12), 、 、 、 Separate moments Mode identification bit of voltage control mode, mode identification bit of load balancing control mode, mode identification bit of economic operation control mode, mode identification bit of hybrid control mode.

[0105] According to the above formula, when the inclusion relationship between the initial measurement data of at least one candidate control object and the corresponding measurement data reference range hits the preset inclusion relationship under the candidate operating mode, the mode identification bit of the candidate operating mode can be assigned to 1, and the mode identification bits of other candidate operating modes can be assigned to 0.

[0106] After obtaining the assigned mode identification bit, the candidate operating mode corresponding to the mode identification bit with a value of 1 can be used as the target operating mode.

[0107] In this embodiment, based on the initial measurement data of at least one candidate control object in the area and the corresponding measurement data reference range, the inclusion relationship between the initial measurement data and the corresponding measurement data reference range is determined, so that the target operation mode of each area can be accurately determined, and then the reactive output power of the distributed power source under the target operation mode can be determined, thereby improving the control performance of the distribution network.

[0108] In an exemplary embodiment, the at least one candidate control object includes a node voltage and a line current. The operation mode includes at least one of the following: a voltage control mode, a load balancing control mode, an economic operation control mode, and a hybrid control mode.

[0109] The voltage control mode is used to adjust the node voltage so that the node voltage measurement data is within the voltage reference range when the node voltage measurement data exceeds the voltage reference range and the line current measurement data is within the line current reference range;

[0110] The load balancing control mode is used to adjust the line current so that the measured data of the line current is within the line current reference range when the measured data of the node voltage is within the voltage reference range and the measured data of the line current exceeds the line current reference range;

[0111] The economic operation control mode is used to adjust the line current to minimize the power loss of the distribution network in the area when the measured data of the node voltage is within the voltage reference range and the measured data of the line current is within the line current reference range;

[0112] The hybrid control mode is used to adjust the node voltage so that the node voltage measurement data is within the voltage reference range, and to adjust the line current so that the line current measurement data is within the line current reference range when the node voltage measurement data exceeds the voltage reference range and the line current measurement data exceeds the line current reference range.

[0113] Optionally, the voltage reference range may include the measurement data of the node voltage being equal to a voltage reference lower limit, or being greater than the voltage reference lower limit and less than a voltage reference upper limit, or being equal to the voltage reference upper limit.

[0114] Optionally, the line current reference range may include a value less than an upper limit of the line current.

[0115] The power loss of the distribution network can be determined based on the square of the measured value of the line current.

[0116] In this embodiment, the diversified operation requirements of the distribution network are fully taken into consideration. By establishing four control modes, namely voltage control mode, load balancing control mode, economic operation control mode and hybrid control mode, different modes can be switched adaptively and flexibly, and the reactive output power of the distributed power source can be determined under the control of different operation modes.

[0117] In an exemplary embodiment, the output of the first distributed power source can be refined into the first distributed power source active power output and the first distributed power source reactive power output; and the output of the second distributed power source can be refined into the second distributed power source active power output and the second distributed power source reactive power output. Accordingly, the step of determining the sensitivity of the distributed power source output can be refined.

[0118] like Figure 3 As shown, the steps for determining the sensitivity of the distributed power output include S310 to S340.

[0119] S310: Obtain first sub-measurement data corresponding to the active power output of the first distributed power source, second sub-measurement data corresponding to the reactive power output of the first distributed power source, third sub-measurement data corresponding to the active power output of the second distributed power source, and fourth sub-measurement data corresponding to the reactive power output of the second distributed power source.

[0120] The above-mentioned sub-measurement data may be understood as sub-measurement data of the target control object in the target operation mode.

[0121] S320: Determine the change in the active power of the distributed power source based on the active power output of the first distributed power source and the active power output of the second distributed power source; determine the change in the first measurement data based on the first sub-measurement data and the third sub-measurement data; determine the sensitivity of the distributed power source's active power output based on the change in the active power of the distributed power source and the change in the first measurement data.

[0122] Optionally, the difference between the active power output of one distributed power source and the active power output of a second distributed power source may be used as the active power variation of the distributed power source.

[0123] Optionally, the difference between the first sub-measurement data and the third sub-measurement data may be used as the first measurement data variation.

[0124] Optionally, the ratio of the change in the active power of the distributed power source to the change in the first measurement data may be used as the output active power sensitivity of the distributed power source.

[0125] For example, the active power sensitivity of the distributed power supply output can be obtained according to the following formula:

[0126] (13)

[0127] In formula (13), Indicates the active power sensitivity of distributed power output. Indicates the change in active power of distributed generation. Indicates the change in the first measurement data.

[0128] S330: Determine the reactive power change of the distributed power source based on the reactive power output of the first distributed power source and the reactive power output of the second distributed power source; determine the change of the second measurement data based on the second sub-measurement data and the fourth sub-measurement data; determine the reactive power sensitivity of the distributed power source based on the change of the reactive power output of the distributed power source and the change of the second measurement data.

[0129] Optionally, the difference between the reactive power output of the first distributed power source and the reactive power output of the second distributed power source may be used as the reactive power variation of the distributed power source.

[0130] Optionally, the difference between the second sub-measurement data and the fourth sub-measurement data may be used as the second measurement data variation.

[0131] Optionally, the ratio of the change in the reactive power output of the distributed power source to the change in the second measurement data may be used as the reactive power output sensitivity of the distributed power source.

[0132] For example, the reactive power sensitivity of the distributed generation output can be obtained according to the following formula:

[0133] (14)

[0134] In formula (14), Indicates the reactive power sensitivity of distributed power output, Indicates the change in reactive power of distributed generation. Indicates the change in the second measurement data.

[0135] It should be noted that this application does not limit the execution order of S320 and S330. Optionally, S320 may be executed first, then S330; or alternatively, S330 may be executed first, then S320; or alternatively, S320 and S330 may be executed simultaneously.

[0136] S340: Determine the sensitivity of the distributed power output according to the distributed power output active power sensitivity and the distributed power output reactive power sensitivity.

[0137] Here, the sum of the distributed power output active power sensitivity and the distributed power output reactive power sensitivity can be used as the distributed power output sensitivity.

[0138] For example, the formula (13) can be obtained The formula (14) gives Add together to get the sensitivity of distributed power output ,Right now:

[0139] (15)

[0140] In this embodiment, the distributed power output sensitivity is determined by determining the active power output sensitivity of the distributed power source based on the change in the active power of the distributed power source and the change in the first measurement data, and the distributed power output reactive power sensitivity is determined based on the change in the reactive power output of the distributed power source and the change in the second measurement data, so that the distributed power output sensitivity can be accurately determined.

[0141] In an exemplary embodiment, determining the control error based on the first measurement data and the second measurement data may include: taking a difference between the first measurement data and the second measurement data as the control error.

[0142] The first measurement data and the second measurement data may be measurement data of a target control object in a target operation mode.

[0143] For example, the control error can be determined according to the following formula:

[0144] (16)

[0145] In formula (16), It's time area The measurement vector of It's time area The measurement vector of .

[0146] In this embodiment, by taking the difference between the first measurement data and the second measurement data as the control error, it is possible to quickly determine whether the current control process has reached convergence.

[0147] In an exemplary embodiment, after controlling the reactive output of distributed power sources in the area according to the reactive output power of the target distributed power sources, the above method also includes: using the second measurement data as the new first measurement data; and using the third measurement data of the target control object under the reactive output power of the target distributed power source, and the fourth measurement data of the corresponding control object in the adjacent area of ​​the area under the reactive output power of its own distributed power source as the new second measurement data; returning to the step of determining the control error until the control cycle of controlling the reactive output of the distributed power sources in the area is completed.

[0148] The third measurement data of the target controlled object under the reactive output power of the target distributed power source can be understood as the measurement vector in the local area at the current control moment.

[0149] To maintain consistency in multi-region coordinated control, the fourth measurement data of the corresponding controlled objects in adjacent regions of the current region under the reactive power output of their own distributed power sources can be obtained. Based on the third and fourth measurement data, equivalent measurement data is determined as the second measurement data of the current region at the current control moment.

[0150] Exemplarily, the new second measurement data may be determined according to the following formula:

[0151] (17)

[0152] In formula (17), Indicates area The set of adjacent regions, Indicates area The number of the adjacent area, For the region The node set of For the region The node set of For the region and region The number of nodes on the boundary of To measure the unified representation, the value can be 、 、 and , for Time zone At the border node The measurement vector of for Time zone At the border node The measurement vector of For the region The deviation parameter, For the region The reference vector, For the region The measurement vector can be 、 、 、 .

[0153] The second measurement data may be understood as the measurement data in the current region at the last control moment, and thus may be used as new first measurement data.

[0154] The control period can be understood as a period for controlling the reactive output of distributed power sources in the region.

[0155] During a control cycle, the operating mode in this area is fixed. When entering the next control cycle, the process returns to the step of determining the target operating mode until the cumulative control time is reached.

[0156] In an embodiment of the present application, after controlling the reactive output of distributed power sources in a region according to the target reactive output power of the distributed power sources, new measurement data can be reconstructed based on the measurement data of the region and the measurement data of adjacent regions, so that the control process can be repeatedly executed to complete the control cycle of controlling the reactive output of distributed power sources in the region.

[0157] Based on the technical solutions of the above embodiments, the present application also provides an optional embodiment, in which a coordinated operation control method of a distribution network is described in detail.

[0158] See also Figure 4 The flowchart of the coordinated operation control method of the distribution network shown is applied to edge computing devices deployed in each area of ​​a multi-area distribution network. The method includes:

[0159] S401: For each given regional distribution network, input the access location of the distributed power source, the capacity of the distributed power source, the node voltage reference value, the line current reference value, the line current square reference value, and the system operation mode identification bit.

[0160] The access location of the distributed power source is used to determine the reactive output power of the distributed power source, and the reactive output power is allocated to the distributed power source according to the access location of each distributed power source.

[0161] Among them, the capacity of distributed power sources is used to determine the upper limit of the active output power and reactive output power of distributed power sources.

[0162] Among them, the node voltage reference value, the line current reference value, the line current square reference value and the system operation mode identification bit are used to determine the target operation mode in the area.

[0163] S402: Initialize the control step length Δt to 15 seconds, the control period ΔT to 5 minutes, and the total control time T to 24 hours.

[0164] The control step can be understood as controlling the regional distribution network once every other control step.

[0165] The control period can be understood as determining the target operating mode within the area every 5 minutes.

[0166] Among them, the total control time can be understood as the cumulative duration of control of the regional distribution network.

[0167] S403: Set the control time t=0 and the control period counter s=0.

[0168] S404: Collecting an initial measurement value of at least one candidate control object in the area, and determining a target operation mode in the area.

[0169] In an optional embodiment, at least one candidate control object includes a node voltage and a line current; and the operation mode includes at least one of the following: a voltage control mode, a load balancing control mode, an economic operation control mode, and a hybrid control mode.

[0170] For each candidate control object, an inclusion relationship between the initial measurement value and the corresponding measurement value reference range is determined.

[0171] In an optional embodiment, a measurement value reference range corresponding to the node voltage can be determined according to a node voltage reference value, wherein the node voltage reference value includes a node voltage reference upper limit and a node voltage reference lower limit.

[0172] In an optional embodiment, a measurement value reference range corresponding to the line current can be determined according to a line current reference value, wherein the line current reference value includes a line current reference upper limit.

[0173] When the inclusion relationship between the initial measurement value of at least one candidate control object and the corresponding measurement value reference range hits the preset inclusion relationship under the candidate operating mode, the mode identification bit of the candidate operating mode can be assigned to 1, and the mode identification bits of other candidate operating modes can be assigned to 0.

[0174] After obtaining the assigned mode identification bit, the candidate operating mode corresponding to the mode identification bit with a value of 1 can be used as the target operating mode.

[0175] S405: Determine the sensitivity of the distributed power output.

[0176] In an optional embodiment, the output of the first distributed power source and the output of the second distributed power source may be preset at two adjacent control moments.

[0177] The first distributed power supply output may include the first distributed power supply output active power and the first distributed power supply output reactive power, and the second distributed power supply output may include the second distributed power supply output active power and the second distributed power supply output reactive power.

[0178] After the regional distribution network is controlled by using the output of the first distributed power source, a first sub-measurement value corresponding to the active power output of the first distributed power source and a second sub-measurement value corresponding to the reactive power output of the first distributed power source can be obtained.

[0179] After the regional distribution network is controlled by using the output of the second distributed power source, a third sub-measurement value corresponding to the active power output of the second distributed power source and a fourth sub-measurement value corresponding to the reactive power output of the second distributed power source can be obtained.

[0180] According to the active power output of the first distributed power source and the active power output of the second distributed power source, the change in the active power of the distributed power source is determined; according to the first sub-measurement value and the third sub-measurement value, the change in the first measurement value is determined; according to the change in the active power of the distributed power source and the change in the first measurement value, the sensitivity of the active power output of the distributed power source can be determined.

[0181] The reactive power change of the distributed power supply is determined based on the reactive power output of the first distributed power supply and the reactive power output of the second distributed power supply; the change of the second measurement value is determined based on the second sub-measurement value and the fourth sub-measurement value; the reactive power sensitivity of the distributed power supply output can be determined based on the change of the reactive power output of the distributed power supply and the change of the second measurement value.

[0182] The sensitivity of the distributed power output can be determined based on the active power sensitivity of the distributed power output and the reactive power sensitivity of the distributed power output.

[0183] S406: Initialize the control mapping matrix in the target operation mode according to the sensitivity and update the control period counter s=s+1.

[0184] The sensitivity is input into the control mapping matrix in the target operation mode, and the control mapping matrix can be initialized to obtain an initialized control mapping matrix.

[0185] S407: Determine the control error.

[0186] A first measurement value can be obtained based on the output of the first distributed power source, a second measurement value can be obtained based on the output of the second distributed power source, and a control error can be determined based on the difference between the first measurement value and the second measurement value.

[0187] S408: Determine whether the control error is less than a preset error threshold; if so, execute S413; if not, execute S409.

[0188] If the control error is less than the preset error threshold, the current preset second distributed power output meets the requirement, and S413 can be executed. If the control error is greater than or equal to the preset error threshold, it is necessary to establish a power reactive output control model, that is, continue to execute S409.

[0189] S409: Establishing a power source reactive power output control model.

[0190] In an optional embodiment, the reactive output control model of the power supply under the target operation mode satisfies the minimum deviation between the measured value of the target control object within the region and the reference data, and the minimum deviation between the measured value of the target control object between adjacent regions and the reference data. Based on this constraint condition, the reactive output control model of the power supply can be established.

[0191] S410: Iteratively solving the power source reactive output control model to obtain the reactive output power of the distributed power source.

[0192] According to the initialized control mapping matrix obtained in S406, the power source reactive output control model can be iteratively solved to obtain the reactive output power of the distributed power source.

[0193] S411: Obtain measurement values ​​of adjacent areas.

[0194] By controlling the reactive output of distributed power sources within a region based on their reactive output, a new measurement value for the region can be obtained. This new measurement value for the region and the measurement values ​​of adjacent regions can be used for control at the next control moment.

[0195] S412: Update control time t=t+Δt.

[0196] S413: Determine whether t is less than s*Δt; if so, execute S407; if not, execute S413.

[0197] Where s*Δt is the cumulative control duration within the current control cycle. If the current control time is less than or equal to the cumulative control duration within the current control cycle, the process returns to S407 and continues to execute control within the current control cycle. If the current control time is greater than the cumulative control duration within the current control cycle, the process continues to determine whether the current control time is greater than the total control time.

[0198] S414: Determine whether t is less than T; if not, execute S405; if so, end the control.

[0199] If the current control time is less than the total control time, the process proceeds to the next control cycle to determine the target operation mode of the region. If the current control time is greater than or equal to the total control time, the process ends.

[0200] The present application also provides voltage control comparison results with two other control schemes. See Table 1 for the comparison results of distribution network voltage control under different control schemes.

[0201] Table 1

[0202]

[0203] Among them, Scheme 1 is the distribution network operation data obtained without using a control method. Scheme 2 is the distribution network operation data obtained after using the control method of this application to control the reactive output of distributed power sources in the regional distribution network. Scheme 3 is the theoretically optimal distribution network operation data obtained after using a centralized data-driven control method.

[0204] Among them, the network topology diagram of the multi-region distribution network is as follows: Figure 5 As shown in the figure, the multi-region distribution network is divided into three areas, with an edge computing device deployed in each area. Nodes 11, 12, 17, 18, 20, 21, 23, 24, 25, 31, 32, and 33 are connected to 12 photovoltaic groups, and nodes 13, 15, 16, 22, 29, and 30 are connected to 6 wind turbine groups. The control step size is 15 seconds, the control period is 5 minutes, and the total optimization time is 24 hours.

[0205] The computer hardware environment for performing the calculation is Core i7, with a main frequency of 3.20GHz and a memory of 16GB; the software environment is the Windows 11 operating system.

[0206] Compared with Solution 1, this control method can effectively alleviate voltage deviation and load imbalance in the distribution network. Voltage deviation, line load, and network power loss were reduced by 31.25%, 19.17%, and 20.68%, respectively. Compared with Solution 3, this control method has significant improvements in voltage control and can effectively address the impact of distributed power generation uncertainty on the distribution network.

[0207] Figure 6 This diagram shows the distribution of the operating modes of the regional distribution network during various time periods. The white, gray, black, and dark gray grids represent the voltage control mode, load balancing control mode, economic operation control mode, and hybrid control mode, respectively. It can be seen that voltage overshoots primarily occur in regions 2 and 3, due to increased PV output in the afternoon. Different regions can adaptively switch between the three modes based on operating conditions and control objectives, enhancing the overall operational flexibility of the system.

[0208] Table 2 shows the comparison results of the calculation time of Scheme 2 and Scheme 3.

[0209] Table 2

[0210]

[0211] Figure 7 A schematic diagram showing the change of voltage with the number of iterations in Schemes 2 and 3 is shown. Figure 8A schematic diagram showing the change of photovoltaic reactive output power in different areas with the number of iterations under the control of scheme 2 is shown. Figure 9 A schematic diagram showing the change in reactive output power of wind turbines in different areas with the number of iterations under the control of Scheme 2 is shown.

[0212] According to Table 2 and Figure 7-Figure 9 ,It can be seen that Scheme 2 can achieve fast convergence (6 iterations to reach convergence) through inter-regional coordination. ,The convergence speed is better than the centralized data-driven method in Scheme 3 (15 iterations to reach convergence), ,effectively reducing the computational burden in each region.

[0213] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0214] Based on the same inventive concept, embodiments of the present application also provide a coordinated operation control device for a distribution network for implementing the coordinated operation control method for a distribution network. The implementation solution provided by this device is similar to the implementation solution described in the above-mentioned method. Therefore, the specific limitations in the embodiments of one or more coordinated operation control devices for distribution networks provided below can be found in the limitations of the coordinated operation control method for distribution networks above, and will not be repeated here.

[0215] In an exemplary embodiment, Figure 10 As shown, a coordinated operation control device for a distribution network is provided, which is configured on edge computing devices deployed in each area of ​​a multi-area distribution network, including: a first determination module 1010, an acquisition module 1020, a second determination module 1030, an initialization module 1040, a solution module 1050 and a control module 1060, wherein:

[0216] A first determining module 1010 is configured to determine a target operating mode for adjusting measurement data of a target control object in a regional distribution network;

[0217] An acquisition module 1020 is configured to acquire first measurement data of a target control object under the output of a first distributed power source, and second measurement data of the target control object under the output of a second distributed power source;

[0218] A second determination module 1030 is configured to determine the sensitivity and control error of the distributed power output based on the first measurement data and the second measurement data;

[0219] Initialization module 1040 is used to initialize the control mapping matrix under the target operation mode according to the sensitivity of the distributed power output to obtain an initialized control mapping matrix; wherein the control mapping matrix is ​​used to represent the relationship between the reactive output power of the distributed power source and the measured data of the target control object;

[0220] A solving module 1050 is configured to iteratively solve the reactive output control model of the power supply in the target operation mode according to the initialized control mapping matrix when the control error is greater than or equal to a preset error threshold, to obtain a target reactive output power of the distributed power supply;

[0221] The control module 1060 is configured to control the reactive output of the distributed power sources in the area according to the target reactive output power of the distributed power sources.

[0222] In one embodiment, the first determination module 1010 is specifically used to obtain initial measurement data and a corresponding measurement data reference range of at least one candidate control object in the area; for each candidate control object, determine the inclusion relationship between the initial measurement data and the corresponding measurement data reference range; and determine the target operating mode based on at least one preset inclusion relationship and the inclusion relationship under at least one candidate operating mode.

[0223] In one embodiment, at least one candidate control object includes a node voltage and a line current; the operating mode includes at least one of the following: a voltage control mode, a load balancing control mode, an economic operation control mode, and a hybrid control mode; the load balancing control mode is used to adjust the line current so that the measurement data of the line current is within the line current reference range when the measurement data of the node voltage is within the voltage reference range and the measurement data of the line current exceeds the line current reference range; the economic operation control mode is used to adjust the line current so that the loss power of the distribution network in the area is minimized when the measurement data of the node voltage is within the voltage reference range and the measurement data of the line current is within the line current reference range; the hybrid control mode is used to adjust the node voltage so that the measurement data of the node voltage is within the voltage reference range, and adjust the line current so that the measurement data of the line current is within the line current reference range when the measurement data of the node voltage exceeds the voltage reference range and the measurement data of the line current exceeds the line current reference range.

[0224] In one embodiment, the output of the first distributed power supply includes the active power output of the first distributed power supply and the reactive power output of the first distributed power supply; the output of the second distributed power supply includes the active power output of the second distributed power supply and the reactive power output of the second distributed power supply; accordingly, the second determination module 1030 is specifically used to obtain the first sub-measurement data corresponding to the active power output of the first distributed power supply, the second sub-measurement data corresponding to the reactive power output of the first distributed power supply, the third sub-measurement data corresponding to the active power output of the second distributed power supply, and the fourth sub-measurement data corresponding to the reactive power output of the second distributed power supply; determine the active power output of the distributed power supply according to the active power output of the first distributed power supply and the active power output of the second distributed power supply. rate change; determine the first measurement data change based on the first sub-measurement data and the third sub-measurement data; determine the distributed power output active power sensitivity based on the distributed power active power change and the first measurement data change; and determine the distributed power reactive power change based on the first distributed power output reactive power and the second distributed power output reactive power; determine the second measurement data change based on the second sub-measurement data and the fourth sub-measurement data; determine the distributed power output reactive power sensitivity based on the distributed power output reactive power change and the second measurement data change; determine the distributed power output sensitivity based on the distributed power output active power sensitivity and the distributed power output reactive power sensitivity.

[0225] In one embodiment, the second determining module 1030 is specifically configured to use the difference between the first measurement data and the second measurement data as the control error.

[0226] In one embodiment, the device also includes: a third determination module, which is used to use the second measurement data as the new first measurement data; and use the third measurement data of the target control object under the reactive output power of the target distributed power source, and the fourth measurement data of the corresponding control object in the adjacent area of ​​the area under the reactive output power of its own distributed power source as the new second measurement data; a return module, which is used to return to the step of determining the control error until the control cycle of controlling the reactive output of the distributed power sources in the area is completed.

[0227] Each module in the aforementioned coordinated operation control device for a distribution network may be implemented in whole or in part through software, hardware, or a combination thereof. Each module may be embedded in or independent of a processor in a computer device in hardware form, or may be stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0228] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 11 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store measurement data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for collaborative operation control of a distribution network is realized. Those skilled in the art can understand that Figure 11 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0229] In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the coordinated operation control method of the distribution network as mentioned above can be implemented.

[0230] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the coordinated operation control method of the distribution network as mentioned above are implemented.

[0231] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of the method for controlling coordinated operation of a distribution network as described above.

[0232] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), data processing logic based on quantum computing, artificial intelligence (AI) processors, and the like.

[0233] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0234] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A coordinated operation control method for a distribution network, characterized in that: Applied to edge computing devices deployed in various regions of a multi-region distribution network, the method includes: Determining a target operating mode for adjusting measurement data of a target control object in a regional distribution network; Acquire first measurement data of the target control object under the output of the first distributed power source, and second measurement data of the target control object under the output of the second distributed power source; Determining the sensitivity and control error of the distributed power output according to the first measurement data and the second measurement data; Initializing the control mapping matrix in the target operation mode according to the sensitivity of the distributed power output to obtain an initialized control mapping matrix; wherein the control mapping matrix is ​​used to represent the relationship between the reactive output power of the distributed power source and the measured data of the target control object; When the control error is greater than or equal to a preset error threshold, iteratively solving the power supply reactive output control model under the target operation mode according to the initialized control mapping matrix to obtain the target distributed power supply reactive output power; The reactive output of the distributed power sources in the area is controlled according to the target reactive output power of the distributed power sources.

2. The method according to claim 1, characterized in that The determining of a target operating mode for adjusting measurement data of a target control object in a regional distribution network includes: Acquiring initial measurement data and a corresponding measurement data reference range of at least one candidate control object within the area; For each candidate control object, determining an inclusion relationship between the initial measurement data and a corresponding measurement data reference range; The target operating mode is determined according to at least one preset inclusion relationship in at least one candidate operating mode and the inclusion relationship.

3. The method according to claim 2, characterized in that The at least one candidate control object includes a node voltage and a line current; the operation mode includes at least one of the following: a voltage control mode, a load balancing control mode, an economic operation control mode, and a hybrid control mode; The voltage control mode is configured to adjust the node voltage so that the node voltage measurement data is within the voltage reference range when the node voltage measurement data exceeds the voltage reference range and the line current measurement data is within the line current reference range; The load balancing control mode is configured to adjust the line current so that the measured data of the line current is within the line current reference range when the measured data of the node voltage is within the voltage reference range and the measured data of the line current exceeds the line current reference range; The economic operation control mode is used to adjust the line current so as to minimize the power loss of the distribution network in the area when the measured data of the node voltage is within the voltage reference range and the measured data of the line current is within the line current reference range; The hybrid control mode is used to adjust the node voltage so that the measurement data of the node voltage is within the voltage reference range, and to adjust the line current so that the measurement data of the line current is within the line current reference range when the measurement data of the node voltage exceeds the voltage reference range and the measurement data of the line current exceeds the line current reference range.

4. The method according to claim 1, wherein The first distributed power supply output includes the first distributed power supply output active power and the first distributed power supply output reactive power; the second distributed power supply output includes the second distributed power supply output active power and the second distributed power supply output reactive power; Accordingly, determining the sensitivity of the distributed power output according to the first measurement data and the second measurement data includes: Obtaining first sub-measurement data corresponding to the active power output of the first distributed power source, second sub-measurement data corresponding to the reactive power output of the first distributed power source, third sub-measurement data corresponding to the active power output of the second distributed power source, and fourth sub-measurement data corresponding to the reactive power output of the second distributed power source; Determining a distributed power source active power change based on the first distributed power source output active power and the second distributed power source output active power; determining a first measurement data change based on the first sub-measurement data and the third sub-measurement data; determining a distributed power source output active power sensitivity based on the distributed power source active power change and the first measurement data change; and Determine a distributed power source reactive power change based on the first distributed power source output reactive power and the second distributed power source output reactive power; determine a second measurement data change based on the second sub-measurement data and the fourth sub-measurement data; determine a distributed power source reactive power sensitivity based on the distributed power source output reactive power change and the second measurement data change; The sensitivity of the distributed power supply output is determined according to the distributed power supply output active power sensitivity and the distributed power supply output reactive power sensitivity.

5. The method according to claim 1, wherein Determining a control error according to the first measurement data and the second measurement data includes: The difference between the first measurement data and the second measurement data is used as the control error.

6. The method according to any one of claims 1 to 5, characterized in that After controlling the reactive output of the distributed power sources in the area according to the target reactive output power of the distributed power sources, the method further includes: using the second measurement data as new first measurement data; and using the third measurement data of the target controlled object under the reactive output power of the target distributed power source and the fourth measurement data of the corresponding controlled object in the adjacent area of ​​the area under the reactive output power of its own distributed power source as new second measurement data; The process returns to the step of determining the control error until the control cycle for controlling the reactive output of the distributed power sources in the area is completed.

7. A coordinated operation control device for a distribution network, characterized in that: An edge computing device deployed in each area of ​​a multi-area distribution network includes: A first determination module is used to determine a target operation mode for adjusting measurement data of a target control object in a regional distribution network; an acquisition module, configured to acquire first measurement data of the target control object under the output of the first distributed power source, and second measurement data of the target control object under the output of the second distributed power source; a second determining module, configured to determine a sensitivity and a control error of a distributed power output according to the first measurement data and the second measurement data; an initialization module, configured to initialize the control mapping matrix under the target operation mode according to the sensitivity of the distributed power output, thereby obtaining an initialized control mapping matrix; wherein the control mapping matrix is ​​used to characterize the relationship between the reactive output power of the distributed power source and the measured data of the target control object; A solving module, configured to iteratively solve the reactive output control model of the power supply under the target operation mode according to the initialized control mapping matrix when the control error is greater than or equal to a preset error threshold, to obtain a target distributed power reactive output power; The control module is used to control the reactive output of the distributed power sources in the area according to the target reactive output power of the distributed power sources.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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