Circuit capacity adjustment method and device, computer device, readable storage medium and program product

Abstract

The application relates to a circuit capacity adjustment method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a first actual effective capacity corresponding to a transformer satisfying a preset constraint condition, and a second actual effective capacity when a management device is connected to a circuit, and determining an actual available capacity corresponding to the circuit according to the first actual effective capacity and the second actual effective capacity; acquiring a target capacity to be connected; in the case that the actual available capacity is smaller than the target capacity to be connected, acquiring a preset dominant constraint condition in the preset constraint condition, generating a circuit capacity adjustment logic according to the preset dominant constraint condition, and adjusting the circuit capacity according to the circuit capacity adjustment logic. The method can improve the accuracy of circuit capacity configuration.

Description

Technical Field

[0001] This application relates to the field of smart grid technology, and in particular to a circuit capacity adjustment method, apparatus, computer equipment, computer-readable storage medium, and computer program product. Background Technology

[0002] To meet the dual-carbon goals and the need for electrification in transportation, the construction of electric vehicle charging infrastructure is accelerating. The large-scale integration of various types of charging piles has become a crucial issue that must be addressed in the planning and operation of urban power distribution systems. Compared to traditional electricity loads, charging loads exhibit greater heterogeneity, randomness, and time-varying characteristics, placing higher demands on the capacity configuration of distribution transformers and related management equipment.

[0003] In related technologies, the capacity configuration of distribution transformers and related governance equipment mainly relies on peak power superposition, which makes it difficult to guarantee the accuracy of the capacity configuration of transformers and related governance equipment. Summary of the Invention

[0004] Therefore, it is necessary to provide a circuit capacity adjustment method, apparatus, computer equipment, computer-readable storage medium, and computer program product that can improve the accuracy of circuit capacity configuration in response to the above-mentioned technical problems.

[0005] In a first aspect, this application provides a circuit capacity adjustment method, including:

[0006] Obtain the first actual effective capacity corresponding to the transformer when it meets the preset constraint conditions, and the second actual effective capacity when the treatment equipment is connected in the circuit, and determine the actual available capacity of the circuit based on the first actual effective capacity and the second actual effective capacity.

[0007] Obtain the target capacity to be connected;

[0008] When the actual available capacity is less than the target capacity to be connected, the preset dominant constraint condition in the preset constraint condition is obtained, the circuit capacity adjustment logic is generated according to the preset dominant constraint condition, and the circuit capacity is adjusted according to the circuit capacity adjustment logic.

[0009] In one embodiment, the preset constraints include voltage deviation constraints, harmonic constraints, and thermal stability constraints; obtaining the first actual effective capacity corresponding to the transformer satisfying the preset constraints includes: obtaining the first actual effective sub-capacity of the transformer satisfying the voltage deviation constraints, the second actual effective sub-capacity of the transformer satisfying the harmonic constraints, and the third actual effective sub-capacity of the transformer satisfying the thermal stability constraints; and generating the first actual effective capacity based on the first actual effective sub-capacity, the second actual effective sub-capacity, and the third actual effective sub-capacity.

[0010] In one embodiment, capacity adjustment logic is determined according to a preset dominant constraint, and capacity adjustment is implemented according to the capacity adjustment logic, including: if the preset dominant constraint is a voltage deviation constraint, increasing the capacity of the dynamic voltage support device; if the preset dominant constraint is a harmonic constraint, increasing the capacity of the active power filter; if the dominant constraint is a thermal stability constraint, upgrading the transformer level or adding a preset type of energy storage device to adjust the capacity.

[0011] In an optional embodiment, obtaining the second actual effective capacity when the circuit is connected to the governance device includes: obtaining the rated capacity, availability factor and equivalent loss factor corresponding to each governance device; generating the ideal available capacity based on the rated capacity, availability factor and equivalent loss factor; obtaining the conversion factor, and generating the second actual effective capacity based on the ideal available capacity and the conversion factor.

[0012] In an exemplary embodiment, determining the actual available capacity corresponding to the circuit based on the first actual effective capacity and the second actual effective capacity includes: obtaining the active load and reactive load of the target device to be accessed included in the target capacity to be accessed; determining the apparent load based on the active load and reactive load of the target device to be accessed; obtaining the access scenario; obtaining the load scenario adjustment coefficient based on the access scenario; and determining the adjusted apparent load based on the load scenario adjustment coefficient and the apparent load; obtaining the rated capacity of the transformer; and determining the capacity deficit based on the rated capacity and the adjusted apparent load; determining the capacity adjustment coefficient based on the access scenario; and determining the expected capacity deficit based on the capacity adjustment coefficient and the capacity deficit; and determining the actual available capacity corresponding to the circuit based on the first actual effective capacity, the second actual effective capacity, and the expected capacity deficit.

[0013] In one embodiment, the circuit capacity adjustment method further includes: if there are multiple circuit capacity adjustment logics, obtaining a preset evaluation index and determining the evaluation index value corresponding to the preset evaluation index; evaluating the circuit capacity adjustment logic according to the evaluation index value, and selecting a target circuit capacity adjustment logic from the multiple circuit capacity adjustment logics according to the evaluation result; and adjusting the circuit capacity using the target circuit capacity adjustment logic.

[0014] Secondly, this application also provides a circuit capacity adjustment device, comprising:

[0015] The available capacity determination module is used to obtain the first actual effective capacity corresponding to the transformer when it meets the preset constraint conditions, the second actual effective capacity when the treatment equipment is connected in the circuit, and to determine the actual available capacity of the circuit based on the first actual effective capacity and the second actual effective capacity.

[0016] Target capacity acquisition device, used to acquire the target capacity to be accessed;

[0017] The adjustment module is used to obtain the preset dominant constraint conditions in the preset constraint conditions when the actual available capacity is less than the target capacity to be connected, generate circuit capacity adjustment logic according to the preset dominant constraint conditions, and adjust the circuit capacity according to the circuit capacity adjustment logic.

[0018] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described method embodiments.

[0019] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method embodiments.

[0020] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the above-described method embodiments.

[0021] The aforementioned circuit capacity adjustment method, apparatus, computer equipment, computer-readable storage medium, and computer program product determine the actual usable capacity of the circuit by using a first actual effective capacity that meets the constraints and a second actual capacity when the management equipment is connected to the circuit. Based on a comparison between the target capacity to be connected and the actual usable capacity of the circuit, it determines whether to adjust the circuit capacity and determines a circuit capacity adjustment strategy. The circuit capacity is adjusted by the determined circuit capacity adjustment strategy, effectively ensuring the accuracy of the circuit capacity configuration. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a diagram illustrating the application environment of a circuit capacity adjustment method in one embodiment.

[0024] Figure 2 This is a flowchart illustrating a circuit capacity adjustment method in one embodiment;

[0025] Figure 3 This is a flowchart illustrating the steps of determining the actual available capacity of a circuit based on a first actual effective capacity and a second actual effective capacity in one embodiment.

[0026] Figure 4This is a flowchart illustrating the circuit capacity adjustment method in another embodiment;

[0027] Figure 5 This is a structural block diagram of a circuit capacity adjustment device in one embodiment;

[0028] Figure 6 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0029] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0030] The circuit capacity adjustment method provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104 or placed on a cloud or other network server. Server 104 obtains the first actual effective capacity corresponding to the transformer meeting preset constraints, and the second actual effective capacity when the management device is connected to the circuit, transmitted by terminal 102. Based on the first and second actual effective capacities, it determines the actual available capacity of the circuit; obtains the target capacity to be connected; and when the actual available capacity is less than the target capacity to be connected, obtains the preset dominant constraint in the preset constraints, generates circuit capacity adjustment logic based on the preset dominant constraint, and adjusts the circuit capacity according to the circuit capacity adjustment logic. Terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can be smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, projection devices, etc. Portable wearable devices can be smartwatches, smart bracelets, head-mounted devices, etc. Headset devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. Server 104 can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0031] In one exemplary embodiment, such as Figure 2 As shown, a circuit capacity adjustment method is provided, which can be applied to... Figure 1 Taking the server in the example, the explanation includes the following steps 202 to 206. Wherein:

[0032] Step 202: Obtain the first actual effective capacity when the transformer meets the preset constraints, the second actual effective capacity when the treatment equipment is connected in the circuit, and determine the actual available capacity of the circuit based on the first actual effective capacity and the second actual effective capacity.

[0033] Transformers are used to characterize electrical devices that change voltage using the principle of electromagnetic induction.

[0034] In one embodiment, transformers can be classified into different types according to their purpose, number of phases, cooling water discharge, and structure.

[0035] Alternatively, transformers can be classified by purpose as power transformers, supply transformers, isolation transformers, or voltage regulating transformers, etc.

[0036] Optionally, transformers can be classified by the number of phases, including single-phase transformers or three-phase transformers.

[0037] Alternatively, transformers can be classified according to their cooling method, including oil-immersed transformers or dry-type transformers.

[0038] Alternatively, transformers can be classified by structure as dual-winding transformers or autotransformers.

[0039] Among them, the constraints are used to characterize the conditions that the transformer must meet during operation.

[0040] Optionally, the constraints can be preset.

[0041] In one embodiment, the constraints may correspond to the access scenario. During the calculation process, the preset constraints can be obtained according to the access scenario.

[0042] The first actual effective capacity is used to characterize the actual effective capacity provided by the transformer when the preset constraints are met.

[0043] Optionally, if the preset constraints include voltage deviation constraints, harmonic constraints, and thermal stability constraints, then the first actual effective sub-capacity when the voltage deviation constraint is satisfied, the second actual effective sub-capacity when the harmonic constraint is satisfied, and the third actual effective sub-capacity when the thermal stability constraint is satisfied can be obtained, and the first actual effective capacity can be determined based on the first actual effective sub-capacity, the second actual effective sub-capacity, and the third actual effective sub-capacity.

[0044] Among them, the governance equipment is power quality governance equipment, which is a power electronic device used to compensate for and correct power defects that occur in the circuit.

[0045] Optionally, the treatment equipment may include, but is not limited to, active power filters, static var generators, and dynamic voltage restorers.

[0046] The second actual effective capacity represents the effective capacity that the governance device can provide when it is connected to the circuit.

[0047] In one embodiment, when there is only one treatment device, the second actual effective capacity can be determined based on the rated capacity corresponding to the treatment device.

[0048] For example, the rated capacity and conversion factor of the treatment equipment are obtained, and the second actual effective capacity is determined based on the rated capacity and conversion factor.

[0049] In one embodiment, when there are multiple treatment devices, the second actual effective capacity corresponding to each treatment device can be determined first, and the sum of the second actual effective capacities corresponding to the treatment devices can be determined. The sum of the obtained second actual effective capacities is used as the required capacity data.

[0050] In an exemplary embodiment, after determining the first actual effective capacity and the second actual effective capacity, the actual available capacity can be determined based on the first actual effective capacity and the second actual effective capacity.

[0051] For example, assume the first actual effective capacity is The second actual effective capacity is The actual available capacity is determined based on the first and second actual effective capacities. The calculation can be shown in the following formula (1):

[0052] (1)

[0053] In one embodiment, actual available capacity This can be data obtained after multiple iterations.

[0054] For example, suppose the first actual effective capacity in the k-th iteration is The second actual effective capacity is Then, the actual available capacity in the kth iteration can be represented by the following equation (2):

[0055] (2)

[0056] In one embodiment, The corresponding iterative update form can be shown in equation (3) below:

[0057] (3)

[0058] in, Used to characterize the first actual effective capacity in the (k+1)th iteration. Used to characterize the iteration step size.

[0059] In one embodiment, The corresponding iterative update form can be shown in equation (4) below:

[0060] (4)

[0061] in, Used to characterize the second actual effective capacity in the (k+1)th iteration. Used to characterize the iteration step size.

[0062] In an alternative embodiment, it can be determined whether to stop the bruising based on the actual available capacity.

[0063] For example, the condition that must be satisfied when the iteration stops can be shown in equation (5) below:

[0064] (5)

[0065] in, This is the convergence threshold.

[0066] In an alternative embodiment, the actual available capacity may also be determined by obtaining the actual load of the circuit and using the first actual effective capacity, the second actual effective capacity, and the actual load of the circuit to determine the actual available capacity.

[0067] For example, the actual available capacity can be the first actual effective capacity + the second actual effective capacity - the actual circuit load.

[0068] Step 204: Obtain the target capacity to be connected.

[0069] In one embodiment, the target capacity to be accessed can be determined based on the target device to be accessed.

[0070] For example, the active load and reactive load corresponding to the target device to be connected can be obtained, and the target capacity to be connected can be determined based on the active load and reactive load.

[0071] In one embodiment, the target device to be connected can be a charging pile.

[0072] In one embodiment, the charging station can include various types. Exemplarily, it can be an AC slow charging station, a DC fast charging station, and a dedicated vehicle centralized charging station.

[0073] In one embodiment, assuming the i-th type of charging pile, during the analysis period... Within, its active load It can be shown in the following formula (6):

[0074] (6)

[0075] in, Used to characterize the number of charging piles of type i. Used to characterize the rated power of the i-th type of charging pile Used to characterize the load rate of the i-th type of charging pile during time period t.

[0076] Alternatively, reactive load can be determined based on active load.

[0077] For example, assume that the power factor of the i-th type of charging pile is Then, based on the power factor and active load, the reactive load is determined. The calculation formula is shown in equation (7) below:

[0078] (7)

[0079] In one embodiment, during time period t, the total active charging load of the circuit system after connecting to the target device is... and reactive load It can be shown in the following equations (8) and (9):

[0080] (8)

[0081] (9)

[0082] Where m represents the number of charging piles.

[0083] In one embodiment, after determining the total active and reactive power loads for charging, the target capacity to be connected can be determined based on the determined total active and reactive power loads for charging.

[0084] For example, the target capacity to be accessed It can be shown in the following formula (10):

[0085] (10)

[0086] Step 206: When the actual available capacity is less than the target capacity to be connected, obtain the preset dominant constraint in the preset constraint conditions, generate circuit capacity adjustment logic according to the preset dominant constraint conditions, and adjust the circuit capacity according to the circuit capacity adjustment logic.

[0087] In one embodiment, the actual available capacity can be compared. and the target capacity to be added The size is determined, and different processing methods are adopted based on the comparison results.

[0088] Optionally, if This allows the target device to be connected to the circuit.

[0089] Optionally, if If the current capacity provided by the transformers and power supply equipment connected to the circuit is insufficient to support the capacity required by the target equipment to be connected, then the capacity in the circuit needs to be adjusted.

[0090] In one embodiment, adjusting the capacity in the circuit can be done by increasing the transformer capacity or by further connecting treatment equipment.

[0091] In an optional embodiment, the circuit capacity adjustment strategy used when adjusting the capacity in the circuit can be determined based on the dominant constraint in the preset constraints.

[0092] For example, if the dominant constraint is a voltage deviation constraint, the corresponding circuit capacity adjustment strategy could be to add a dynamic support device.

[0093] In an exemplary embodiment, after obtaining the circuit capacity adjustment strategy, the obtained circuit capacity adjustment strategy is used to adjust the capacity of a single channel.

[0094] For example, if the circuit capacity adjustment strategy is to add a dynamic voltage support device, then the circuit capacity adjustment strategy is executed, and a new dynamic voltage support device is added to the circuit.

[0095] In the above-mentioned circuit capacity adjustment method, the actual available capacity of the circuit is determined by using the first actual effective capacity under the constraint conditions and the second actual capacity when the governance equipment is connected to the circuit. Based on the comparison between the target capacity to be connected and the actual available capacity of the circuit, it is determined whether to adjust the circuit capacity and the circuit capacity adjustment strategy is determined. The circuit capacity is adjusted by the determined circuit capacity adjustment strategy, which effectively ensures the accuracy of the circuit capacity configuration.

[0096] In an exemplary embodiment, step 202, namely the step of obtaining the first effective capacity corresponding to the transformer satisfying the preset constraint conditions, includes: obtaining the first actual effective sub-capacity when the transformer satisfies the voltage deviation constraint, the second actual effective sub-capacity when the transformer satisfies the harmonic constraint, and the third actual effective sub-capacity when the transformer satisfies the thermal stability constraint; and generating the first actual effective capacity based on the first actual effective sub-capacity, the second actual effective sub-capacity, and the third actual effective sub-capacity.

[0097] In one embodiment, the preset constraints may include, but are not limited to, voltage deviation constraints, harmonic constraints, and thermal stability constraints.

[0098] Among them, voltage deviation constraint is used to ensure that after the transformer is adjusted, the actual voltage of each voltage level bus on the high-voltage side and low-voltage side must be strictly controlled within the deviation range allowed by national or industry standards.

[0099] In an exemplary embodiment, assume that the actual voltage of node k in time period t is Rated voltage is The maximum allowable voltage deviation is The voltage deviation constraint must satisfy the following condition, as shown in equation (11):

[0100] (11)

[0101] In an optional embodiment, power flow calculations can be performed based on the aforementioned voltage deviation constraints to obtain the maximum accessible first effective sub-capacity satisfying the voltage deviation constraints, denoted as . .

[0102] Harmonic constraints are quantitative limits and operational requirements set for the degree of voltage or current waveform distortion in the power grid to ensure the safe and economical operation of the power system and electrical equipment.

[0103] Understandably, DC fast charging and liquid-cooled supercharging equipment, due to the significant power electronic converter characteristics, will inject harmonic current into the power system, thus requiring harmonic constraint.

[0104] In an exemplary embodiment, it is assumed that the h-th harmonic current of the system in time period t is The fundamental current is Total Harmonic Distortion The calculation formula can be shown in the following formula (12):

[0105] (12)

[0106] H is used to characterize the harmonic number at time period t.

[0107] In one embodiment, the condition that the harmonic constraint must satisfy is shown in equation (13):

[0108] (13)

[0109] in, Used to characterize the maximum limit corresponding to harmonic constraints.

[0110] In one embodiment, the maximum accessible capacity under harmonic constraints can be determined as the second actual effective sub-capacity based on the conditions that the harmonic constraints must satisfy, denoted as . .

[0111] Among them, thermal stability constraints are used to ensure that when a short-circuit fault occurs in the power system, the transformer windings, leads and structural components are subjected to huge short-circuit current impacts in a very short time, and their heating temperature must be strictly controlled below the limit temperature that the insulation materials and conductors themselves can withstand, and there must be no deformation or damage caused by overheating.

[0112] In an exemplary embodiment, the load rate corresponding to the transformer can be calculated, the additional temperature rise of the winding hot spot can be determined based on the load rate, the ambient temperature and the top oil temperature rise can be obtained, and the hot spot temperature can be determined based on the additional temperature rise of the winding hot spot, the ambient temperature and the top oil temperature rise.

[0113] For example, assume the transformer's load rate during time period t. The calculation formula can be shown in the following equation (14):

[0114] (14)

[0115] in, Used to characterize the actual apparent output power of a transformer during time period t. Used to characterize the rated capacity of a transformer.

[0116] In one embodiment, the additional temperature rise of the winding hot spot The calculation formula can be shown in the following formula (15):

[0117] (15)

[0118] H is the hot spot coefficient, which is related to the transformer and winding structure, and its value ranges from 1.0 to 2.1.

[0119] in, The gradient of the average winding temperature and the average oil temperature under rated load is determined by transformer design and temperature rise test.

[0120] In one embodiment, hotspot temperature The calculation formula can be shown in the following equation (16):

[0121] (16)

[0122] in, Used to characterize ambient temperature Used to characterize the temperature rise of the top oil in a transformer. Used to characterize the additional temperature rise of winding hot spots.

[0123] In one embodiment, the thermal stability constraint must satisfy the following condition (17):

[0124] (17)

[0125] in, Used to characterize the maximum limit corresponding to thermal stability constraints.

[0126] Optionally, based on the conditions that the above-mentioned thermal stability constraints must satisfy, the maximum accessible capacity under the thermal stability constraints can be obtained as the third actual effective sub-capacity, denoted as... .

[0127] In one embodiment, the first actual effective capacity is generated after determining the first actual effective sub-capacity, the second actual effective sub-capacity, and the third actual effective sub-capacity.

[0128] Optionally, the minimum value among the first actual effective sub-capacity, the second actual effective sub-capacity, and the third actual effective sub-capacity can be taken to obtain the first actual effective capacity.

[0129] For example, the formula for calculating the first actual effective capacity can be shown in equation (18):

[0130] (18)

[0131] In the above embodiments, the first actual effective capacity is determined based on preset constraints, so that the determined first actual effective capacity effectively meets the actual needs and improves the accuracy of circuit capacity determination.

[0132] In an exemplary embodiment, step 206, namely the step of determining a capacity adjustment strategy based on a preset dominant constraint and implementing capacity adjustment according to the capacity adjustment logic, includes: if the preset dominant constraint is a voltage deviation constraint, increasing the capacity of the dynamic voltage support device; if the preset dominant constraint is a harmonic constraint, increasing the capacity of the active power filter; if the dominant constraint is a thermal stability constraint, upgrading the transformer level or adding a preset type of energy storage device to perform capacity adjustment.

[0133] In one embodiment, preset constraints can be obtained, and the dominant constraint among the preset constraints can be determined. The capacity adjustment can be determined based on the determined dominant constraint.

[0134] For example, if the dominant constraint is a voltage deviation constraint, then the corresponding capacity adjustment strategy is determined to be to increase the capacity of the dynamic voltage support device.

[0135] In one embodiment, the dynamic voltage support device includes, but is not limited to, a dynamic voltage restorer and a static var generator.

[0136] Among them, the dynamic voltage restorer is a power electronic protection device that is connected in series between the power supply and the critical load.

[0137] In one embodiment, when the dynamic voltage restorer performs capacity adjustment, new modules can be added to increase the capacity of the dynamic voltage restorer.

[0138] Among them, the static var generator is a dynamic reactive power compensation device based on high-power power electronic devices (such as insulated gate bipolar transistors).

[0139] In one embodiment, increasing the capacity of the static var generator can be achieved through methods including, but not limited to, continuous adjustment within the dynamic range and expansion of the physical module.

[0140] In one embodiment, the static var generator has a variable capacity, and continuous adjustment within the dynamic range can adjust the actual output reactive power within the rated range.

[0141] In one embodiment, the expansion on the physical module can be the addition of an additional static var generator.

[0142] Optionally, if a static var generator already exists in the circuit, the existing static var generator and the new static var generator to be connected can be connected in parallel.

[0143] Alternatively, if there is no static var generator in the circuit, a new static var generator to be connected can be connected to the circuit.

[0144] For example, if the dominant constraint is a harmonic constraint, then the capacity adjustment strategy corresponding to the harmonic constraint can be determined to be increasing the capacity of the active power filter.

[0145] In one embodiment, active power filters can be classified into parallel type and voltage source type.

[0146] In one embodiment, increasing the capacity of the active power filter can be achieved through modular parallel expansion.

[0147] In an optional embodiment, multiple capacity modules can be set up, and at least one idle capacity module can be connected when expansion is needed.

[0148] For example, if the dominant constraint is a thermal stability constraint, the capacity adjustment strategy determined to win against the thermal stability constraint can be to upgrade the transformer level or add a preset type of energy storage device.

[0149] In one embodiment, the transformer rating can be either a voltage rating or a capacity rating.

[0150] Optionally, voltage levels include, but are not limited to, low voltage, medium voltage, high voltage, ultra-high voltage, and extra-high voltage.

[0151] Optionally, capacity classes include, but are not limited to, small, medium, large, and extra-large.

[0152] For example, if the transformer rating is a voltage rating, upgrading the transformer rating can be an upgrade from a low-voltage rating to a medium-voltage rating.

[0153] For example, if the transformer rating is a capacity rating, upgrading the transformer rating can upgrade a small transformer to a medium-sized one.

[0154] In one embodiment, the preset type of energy storage device can be a modular flexible energy storage system.

[0155] In the above embodiments, different circuit capacity adjustment methods are adopted when the dominant constraint condition is not met, thereby improving the accuracy of circuit capacity adjustment.

[0156] In an exemplary embodiment, step 202, namely the step of obtaining the second actual effective capacity when the circuit is connected to the governance device, includes: obtaining the rated capacity, availability factor and equivalent loss factor corresponding to each governance device; generating the ideal available capacity based on the rated capacity, availability factor and equivalent loss factor; obtaining the conversion factor, and generating the second actual effective capacity based on the ideal available capacity and the conversion factor.

[0157] The availability coefficient can be used to determine the duration of normal operation of the treatment equipment.

[0158] The equivalent loss factor is used to convert the capacity provided by the treatment equipment into an equivalent value.

[0159] The conversion factor is used to reflect the contribution of the treatment equipment to the capacity release.

[0160] In one embodiment, assuming there are n types of governance devices, the rated capacity of the j-th type of instruction device is... The available coefficients for time period t are: The equivalent loss coefficient is Based on the top capacity, availability factor, and equivalent loss factor, the formula for calculating the ideal available capacity can be shown in equation (19) below:

[0161] (19)

[0162] In one embodiment, to further ensure the accuracy of data calculation and to better reflect reality, a conversion factor can be obtained, and a second actual effective capacity can be determined based on the conversion factor and the ideal available capacity.

[0163] For example, the formula for calculating the second actual effective capacity can be shown in equation (20):

[0164] (20)

[0165] in, Used to characterize the second actual effective capacity, Used to characterize the conversion factor.

[0166] In the above embodiments, the calculation of the second actual effective capacity takes into account the losses during actual use, thereby making the calculated second actual effective capacity accurate, improving the accuracy of the determination of the second actual effective capacity, and improving the accuracy of the determination of the circuit capacity.

[0167] In one exemplary embodiment, such as Figure 3 As shown, step 202, namely the step of determining the actual usable capacity of the circuit based on the first and second actual effective capacities, includes:

[0168] Step 302: Obtain the active load and reactive load of the target devices to be connected, which are included in the target capacity to be connected. Determine the apparent load based on the active load and reactive load of the target devices to be connected.

[0169] Optionally, the apparent load is the vector sum of the active and reactive loads when the target device is connected in the assumed circuit.

[0170] In one embodiment, the calculation of apparent load may further include acquiring the active and reactive loads already connected in the circuit, and determining the apparent loads to be connected and merged based on the active and reactive loads of the target device to be connected, the already connected active and reactive loads.

[0171] For example, apparent load The calculation formula can be shown in the following equation (21):

[0172] (twenty one)

[0173] in, Used to characterize the active load that has been connected. Used to characterize the reactive load that has been connected. Used to characterize the active load to be connected. Used to characterize the reactive load to be connected.

[0174] Step 304: Obtain the access scenario, obtain the load scenario adjustment coefficient based on the access scenario, and determine the adjusted apparent load based on the load scenario adjustment coefficient and the apparent load.

[0175] Among them, the access scenario is used to characterize the usage scenario when accessing the target device to be accessed.

[0176] Optionally, the correspondence between the access scenario and the load scenario adjustment coefficient can be preset and stored so that when performing calculations, after obtaining the access scenario, the corresponding load scenario adjustment coefficient can be obtained based on the access scenario.

[0177] In an exemplary embodiment, after obtaining the load scenario adjustment coefficient, the adjusted apparent load is determined based on the load scenario adjustment coefficient and the apparent load.

[0178] For example, the load scenario adjustment factor can be multiplied by the apparent load to obtain the adjusted apparent load. .

[0179] Step 306: Obtain the rated capacity of the transformer and determine the capacity deficit based on the rated capacity and the adjusted apparent load.

[0180] In one embodiment, the rated capacity of the transformer can be obtained, and the capacity deficit can be determined based on the rated capacity of the transformer and the apparent load.

[0181] In an exemplary embodiment, the formula for calculating the capacity deficit can be shown in equation (22) below:

[0182] (twenty two)

[0183] in, Used to characterize the rated capacity of a transformer.

[0184] Step 308: Determine the capacity adjustment coefficient based on the access scenario, and determine the expected capacity deficit based on the capacity adjustment coefficient and the capacity deficit.

[0185] It is understandable that different access scenarios correspond to different usage conditions, and different usage conditions have different capacity requirements. Therefore, the capacity deficit can be adjusted according to the access scenario to ensure the accuracy of data calculation.

[0186] In an optional embodiment, the correspondence between access scenarios and capacity adjustment coefficients can be preset and stored so that when needed, the access scenario can be retrieved, and the capacity adjustment coefficient corresponding to the access scenario can be obtained by combining the corresponding scenario between the access scenario and the capacity adjustment coefficient.

[0187] Optionally, after obtaining the capacity adjustment coefficient, the expected capacity deficit can be determined based on the capacity adjustment coefficient and the capacity deficit.

[0188] For example, the formula for calculating the expected capacity deficit can be shown in equation (23) below:

[0189] (twenty three)

[0190] in, Used to characterize the capacity adjustment coefficient .

[0191] Step 310: Determine the actual available capacity of the circuit based on the first actual effective capacity, the second actual effective capacity, and the expected capacity deficit.

[0192] In an exemplary embodiment, after determining the first actual effective capacity, the second actual effective capacity, and the expected capacity deficit, the actual available capacity corresponding to the circuit can be determined based on the first actual effective capacity, the second actual effective capacity, and the expected capacity deficit.

[0193] For example, the actual usable capacity of the circuit can be obtained by adding the first actual effective capacity, the second actual effective capacity, and the expected capacity deficit.

[0194] In the above embodiments, during the process of determining the actual available capacity, the expected capacity is adjusted by considering the access scenario to make it more in line with the actual application scenario of the circuit, which can ensure the accuracy of the calculated actual available capacity.

[0195] In an exemplary embodiment, the circuit capacity adjustment method may further include: determining whether there are multiple circuit capacity adjustment logics; if so, obtaining a preset evaluation index and determining the evaluation index value corresponding to the preset evaluation index; evaluating the circuit capacity adjustment logic according to the evaluation index value; and selecting the target circuit capacity adjustment logic from the multiple circuit capacity adjustment logics according to the evaluation result.

[0196] Among them, the evaluation index is used to assess the circuit capacity adjustment logic in order to determine its merits.

[0197] In one embodiment, the evaluation metrics can be pre-set.

[0198] In one embodiment, the evaluation metrics include, but are not limited to, capacity fulfillment rate, voltage overrun rate, harmonic overrun rate, and thermal overrun rate.

[0199] Alternatively, the formula for calculating the capacity fulfillment rate can be as shown in equation (24):

[0200] (twenty four)

[0201] Alternatively, the formula for calculating the voltage crossing rate can be as shown in equation (25):

[0202] (25)

[0203] Alternatively, the formula for calculating the harmonic exceedance rate can be as shown in equation (26):

[0204] (26)

[0205] Alternatively, the formula for calculating the thermal exceedance rate can be shown in equation (27):

[0206] (27)

[0207] Here, I() is used to characterize the indicator function.

[0208] For example, for an indicator function, the value is 1 when the condition is true and 0 when the condition is false.

[0209] In one alternative embodiment, the evaluation metric may include total investment cost.

[0210] For example, the total investment cost may include the investment cost of transformer expansion and the investment cost of configuring governance equipment.

[0211] For example, the formula for calculating the total investment cost can be shown in equation (28) below:

[0212] (28)

[0213] in, Used to characterize total investment cost Used to characterize the investment cost of transformer capacity expansion Used to characterize the investment cost of configuring treatment equipment.

[0214] In one alternative embodiment, the evaluation metric may include the synergistic substitution rate.

[0215] Among them, the collaborative substitution rate is used to characterize the demand for transformer capacity expansion by the governance equipment.

[0216] For example, the formula for calculating the co-substitution rate is shown in equation (29) below:

[0217] (29)

[0218] in, Used to characterize the rate of coordinated substitution Used to characterize the optimal transformer capacity required without configuring governance equipment. Used to characterize the optimal transformer capacity after configuring the governance equipment.

[0219] In one embodiment, the corresponding evaluation index can be determined according to the usage scenario, and the evaluation index value corresponding to each evaluation index can be calculated and determined. The evaluation index value can be used to evaluate the circuit capacity logic.

[0220] For example, assuming that the evaluation indicators include capacity satisfaction rate, voltage overrun rate, harmonic overrun rate, thermal overrun rate, total investment cost, and cooperative substitution rate, the capacity satisfaction rate, voltage overrun rate, harmonic overrun rate, thermal overrun rate, total investment cost, and cooperative substitution rate are calculated using the above formulas. Based on the calculated capacity satisfaction rate, voltage overrun rate, harmonic overrun rate, thermal overrun rate, total investment cost, and cooperative substitution rate, the circuit capacity adjustment logic evaluation value is calculated. The circuit capacity adjustment logic evaluation is then implemented based on the circuit capacity adjustment logic evaluation value.

[0221] In one embodiment, the calculation formula for the circuit capacity adjustment logic evaluation value is shown in the following formula (30):

[0222] (30)

[0223] Where J is the circuit capacity adjustment logic evaluation value, , , , , and To evaluate the weighting coefficients, For reference investment costs.

[0224] In one embodiment, after determining the circuit capacity adjustment logic evaluation value corresponding to each circuit capacity adjustment logic, the circuit capacity adjustment logic corresponding to the circuit capacity adjustment logic with the largest evaluation value can be selected as the target circuit capacity adjustment logic.

[0225] In an alternative embodiment, after the target circuit capacity adjustment logic is determined, the circuit capacity can be adjusted using the target circuit capacity adjustment logic.

[0226] In the above embodiments, when there are multiple circuit capacity adjustment logics, the multiple circuit capacity adjustment logics are evaluated intuitively using preset evaluation indicators, and the optimal circuit capacity adjustment logic is used to implement the adjustment, ensuring the accuracy of circuit capacity determination.

[0227] In an exemplary embodiment, the circuit capacity adjustment method can also obtain the rated capacity of the transformer, determine the ideal capacity margin based on the rated capacity of the transformer and the apparent load, and continue to execute the circuit capacity adjustment method included in the above-described method embodiments when the ideal capacity margin is greater than or equal to the preset capacity margin.

[0228] For example, assume the transformer's rated capacity is Ideal capacity margin It can be shown in the following formula (31):

[0229] (31)

[0230] Optionally, if Then, the circuit capacity adjustment methods corresponding to the above method embodiments can be further executed to further determine whether the capacity provided by the transformer meets the requirements.

[0231] Optionally, if If so, it can be assumed that the transformer has insufficient capacity during time period t. The transformer capacity can be increased first based on the ideal capacity margin, and then the steps of the above-described method embodiments can be further executed. Alternatively, the steps of the above-described method embodiments can be executed directly to adjust the transformer capacity to the required capacity.

[0232] In one exemplary embodiment, such as Figure 4 As shown, a circuit capacity adjustment method is provided, which can be applied to... Figure 1 Taking the server in the example, the explanation includes steps 402 to 438. Wherein:

[0233] Step 402: Obtain the first actual effective sub-capacity of the transformer when it meets the voltage deviation constraint, the second actual effective sub-capacity of the transformer when it meets the harmonic constraint, and the third actual effective sub-capacity of the transformer when it meets the thermal stability constraint.

[0234] Step 404: Generate the first actual effective capacity based on the first actual effective sub-capacity, the second actual effective sub-capacity, and the third actual effective sub-capacity.

[0235] Step 406: Obtain the rated capacity, availability coefficient, and equivalent loss coefficient for each treatment device.

[0236] Step 408: Generate the ideal available capacity based on the rated capacity, availability factor, and equivalent loss factor.

[0237] Step 410: Obtain the conversion factor and generate the second actual effective capacity based on the ideal available capacity and the conversion factor.

[0238] Step 412: Obtain the active load and reactive load of the target devices to be connected, which are included in the target capacity to be connected. Determine the apparent load based on the active load and reactive load of the target devices to be connected.

[0239] Step 414: Obtain the access scenario, obtain the load scenario adjustment coefficient based on the access scenario, and determine the adjusted apparent load based on the load scenario adjustment coefficient and the apparent load.

[0240] Step 416: Obtain the rated capacity of the transformer and determine the capacity deficit based on the rated capacity and the adjusted apparent load.

[0241] Step 418: Determine the capacity adjustment coefficient based on the access scenario, and determine the expected capacity deficit based on the capacity adjustment coefficient and the capacity deficit.

[0242] Step 420: Determine the actual available capacity of the circuit based on the first actual effective capacity, the second actual effective capacity, and the expected capacity deficit.

[0243] Step 422: Obtain the target capacity to be connected.

[0244] Step 424: Determine whether the actual available capacity is less than the target capacity to be accessed. If yes, proceed to step 426; otherwise, proceed to step 438.

[0245] Step 426: Obtain the preset dominant constraint from the preset constraint conditions, generate circuit capacity adjustment logic based on the preset dominant constraint conditions, and adjust the circuit capacity based on the circuit capacity adjustment logic.

[0246] Step 428: Determine if there are multiple circuit capacity adjustment logics. If yes, proceed to step 430; otherwise, proceed to step 434.

[0247] Step 430: Obtain the preset evaluation indicators and determine the evaluation indicator values ​​corresponding to the preset evaluation indicators.

[0248] Step 432: Evaluate the circuit capacity adjustment logic based on the evaluation index value, and select the target circuit capacity adjustment logic from multiple circuit capacity adjustment logics based on the evaluation results, and continue to execute step 436.

[0249] Step 434: Set the circuit capacity adjustment logic to the target circuit capacity adjustment logic, and continue to execute step 436.

[0250] Step 436: Adjust the circuit capacity using the target circuit capacity adjustment logic, and then connect it to the target capacity after adjustment.

[0251] Step 438: Connect the target capacity to be connected.

[0252] In the above-mentioned circuit capacity adjustment method, the actual available capacity of the circuit is determined by using the first actual effective capacity under the constraint conditions and the second actual capacity when the governance equipment is connected to the circuit. Based on the comparison between the target capacity to be connected and the actual available capacity of the circuit, it is determined whether to adjust the circuit capacity and the circuit capacity adjustment strategy is determined. The circuit capacity is adjusted by the determined circuit capacity adjustment strategy, which effectively ensures the accuracy of the circuit capacity configuration.

[0253] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0254] Based on the same inventive concept, this application also provides a circuit capacity adjustment device for implementing the circuit capacity adjustment method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the circuit capacity adjustment device provided below can be found in the limitations of the circuit capacity adjustment method described above, and will not be repeated here.

[0255] In one exemplary embodiment, such as Figure 5 As shown, a circuit capacity adjustment device 500 is provided, including: an available capacity determination module 502, a target capacity acquisition device 504, and an adjustment module 506, wherein:

[0256] The available capacity determination module 502 is used to obtain the first actual effective capacity corresponding to the transformer when it meets the preset constraint conditions, and the second actual effective capacity when the treatment equipment is connected in the circuit, and to determine the actual available capacity of the circuit based on the first actual effective capacity and the second actual effective capacity.

[0257] The target capacity acquisition device 504 is used to acquire the target capacity to be accessed.

[0258] The adjustment module 506 is used to obtain the preset dominant constraint conditions in the preset constraint conditions when the actual available capacity is less than the target capacity to be connected, generate circuit capacity adjustment logic according to the preset dominant constraint conditions, and adjust the circuit capacity according to the circuit capacity adjustment logic.

[0259] In one embodiment, the preset constraints include voltage deviation constraints, harmonic constraints, and thermal stability constraints; the available capacity determination module is further configured to obtain the first actual effective sub-capacity when the transformer meets the voltage deviation constraints, the second actual effective sub-capacity when the transformer meets the harmonic constraints, and the third actual effective sub-capacity when the transformer meets the thermal stability constraints; and generate the first actual effective capacity based on the first actual effective sub-capacity, the second actual effective sub-capacity, and the third actual effective sub-capacity.

[0260] In one embodiment, the adjustment module is further configured to increase the capacity of the dynamic voltage support device if the preset dominant constraint is a voltage deviation constraint; increase the capacity of the active power filter if the preset dominant constraint is a harmonic constraint; and increase the transformer grade or add a preset type of energy storage device to adjust the capacity if the dominant constraint is a thermal stability constraint.

[0261] In an exemplary embodiment, the available capacity determination module is further configured to obtain the rated capacity, availability coefficient, and equivalent loss coefficient corresponding to each treatment device; generate an ideal available capacity based on the rated capacity, availability coefficient, and equivalent loss coefficient; obtain a conversion coefficient; and generate a second actual effective capacity based on the ideal available capacity and the conversion coefficient.

[0262] In an optional embodiment, the available capacity determination module is further configured to: acquire the active load and reactive load of the target device to be accessed, which are included in the target capacity to be accessed; determine the apparent load based on the active load and reactive load of the target device to be accessed; acquire the access scenario; acquire the load scenario adjustment coefficient based on the access scenario; and determine the adjusted apparent load based on the load scenario adjustment coefficient and the apparent load; acquire the rated capacity of the transformer; and determine the capacity deficit based on the rated capacity and the adjusted apparent load; determine the capacity adjustment coefficient based on the access scenario; and determine the expected capacity deficit based on the capacity adjustment coefficient and the capacity deficit; and determine the actual available capacity corresponding to the circuit based on the first actual effective capacity, the second actual effective capacity, and the expected capacity deficit.

[0263] In one embodiment, the circuit capacity adjustment device further includes an evaluation module, which is used to obtain a preset evaluation index and determine the evaluation index value corresponding to the preset evaluation index when there are multiple circuit capacity adjustment logics; evaluate the circuit capacity adjustment logic according to the evaluation index value, and select the target circuit capacity adjustment logic from the multiple circuit capacity adjustment logics according to the evaluation result; and adjust the circuit capacity using the target circuit capacity adjustment logic.

[0264] Each module in the aforementioned circuit capacity adjustment device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0265] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 6As shown, this computer device includes a processor, memory, input / output interfaces (I / O), and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When executed by the processor, the computer program implements a circuit capacity adjustment method.

[0266] Those skilled in the art will understand that Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0267] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0268] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0269] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0270] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0271] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, databases, 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 many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0272] The technical features of the above embodiments can be combined in any way. For the sake of brevity, 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.

[0273] The above embodiments are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for adjusting circuit capacity, characterized in that, The method includes: The first actual effective capacity of the transformer when it meets the preset constraints and the second actual effective capacity when the treatment equipment is connected to the circuit are obtained. Based on the first actual effective capacity and the second actual effective capacity, the actual available capacity of the circuit is determined. Obtain the target capacity to be connected; When the actual available capacity is less than the target capacity to be accessed, the preset dominant constraint condition in the preset constraint condition is obtained, the circuit capacity adjustment logic is generated according to the preset dominant constraint condition, and the circuit capacity is adjusted according to the circuit capacity adjustment logic.

2. The method according to claim 1, characterized in that, The preset constraints include voltage deviation constraints, harmonic constraints, and thermal stability constraints; obtaining the first actual effective capacity of the transformer when it meets the preset constraints includes: Obtain the first actual effective sub-capacity of the transformer when it meets the voltage deviation constraint, the second actual effective sub-capacity of the transformer when it meets the harmonic constraint, and the third actual effective sub-capacity of the transformer when it meets the thermal stability constraint; The first actual effective capacity is generated based on the first actual effective sub-capacity, the second actual effective sub-capacity, and the third actual effective sub-capacity.

3. The method according to claim 2, characterized in that, The step of determining the capacity adjustment logic based on the preset dominant constraints and implementing capacity adjustment according to the capacity adjustment logic includes: If the preset dominant constraint is a voltage deviation constraint, increase the capacity of the dynamic voltage support device; If the preset dominant constraint is a harmonic constraint, increase the capacity of the active power filter; If the dominant constraint is a thermal stability constraint, the transformer grade should be increased or a preset type of energy storage device should be added to adjust the capacity.

4. The method according to claim 1, characterized in that, The acquisition of the second actual effective capacity when the circuit is connected to the governance device includes: Obtain the rated capacity, availability coefficient, and equivalent loss coefficient of each of the aforementioned treatment devices; The ideal available capacity is generated based on the rated capacity, the availability factor, and the equivalent loss factor. Obtain the conversion factor, and generate the second actual effective capacity based on the ideal available capacity and the conversion factor.

5. The method according to claim 1, characterized in that, Determining the actual usable capacity of the circuit based on the first actual effective capacity and the second actual effective capacity includes: Obtain the active load and reactive load of the target devices to be accessed included in the target capacity to be accessed, and determine the apparent load based on the active load and reactive load of the target devices to be accessed; Obtain the access scenario, obtain the load scenario adjustment coefficient based on the access scenario, and determine the adjusted apparent load based on the load scenario adjustment coefficient and the apparent load; Obtain the rated capacity of the transformer, and determine the capacity deficit based on the rated capacity and the adjusted apparent load; The capacity adjustment coefficient is determined based on the access scenario, and the expected capacity deficit is determined based on the capacity adjustment coefficient and the capacity deficit. The actual available capacity of the circuit is determined based on the first actual effective capacity, the second actual effective capacity, and the expected capacity deficit.

6. The method according to claim 1, characterized in that, The method further includes: If there are multiple circuit capacity adjustment logics, obtain the preset evaluation index and determine the evaluation index value corresponding to the preset evaluation index; The circuit capacity adjustment logic is evaluated based on the evaluation index value, and the target circuit capacity adjustment logic is selected from multiple circuit capacity adjustment logics based on the evaluation results. The circuit capacity is adjusted using the target circuit capacity adjustment logic.

7. A circuit capacity adjustment device, characterized in that, The device includes: The available capacity determination module is used to obtain the first actual effective capacity corresponding to the transformer when it meets the preset constraint conditions, and the second actual effective capacity when the treatment equipment is connected in the circuit, and to determine the actual available capacity corresponding to the circuit based on the first actual effective capacity and the second actual effective capacity. Target capacity acquisition device, used to acquire the target capacity to be accessed; The adjustment module is used to, when the actual available capacity is less than the target capacity to be accessed, obtain the preset dominant constraint condition in the preset constraint condition, generate circuit capacity adjustment logic according to the preset dominant constraint condition, and adjust the circuit capacity according to the circuit capacity adjustment logic.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

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

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

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