Direct current sending-out passage fault optimization control method and device and electronic equipment

Abstract

The application discloses a direct current sending-out channel fault optimization control method and device and electronic equipment. The method comprises the following steps: setting an index satisfying the alternating current-direct current energy coordination demand of the local fault of the sending terminal power grid and the sending-out channel fault, and determining the target parameters required for calculating the index; obtaining the historical measurement data of the target parameters, and determining the influence factor of the target parameters at the current time on the target parameters at the next time; based on the influence factor and the target parameter data at the current time, calculating the predicted value of the target parameters at the next time, and calculating the index predicted value of the emergency coordination of the local fault of the sending terminal power grid and the sending-out channel fault alternating current-direct current energy at the next time; and based on the index predicted value, adjusting the target parameter data at the next time. The application builds an index for the unified alternating current-direct current energy emergency coordination, quantifies the energy interaction demand in the multi-fault scene, makes up for the lack of the alternating current-direct current coordination mechanism, and enables the sending terminal power grid to safely operate in the extra-high voltage scene.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of direct current sending-out channel fault optimization control, and in particular to a direct current sending-out channel fault optimization control method and device and electronic equipment. BACKGROUND

[0002] The ultra-high voltage AC / DC sending-out channel fault backup optimization is mainly based on static parameters and single fault analysis. The devices such as converter valve and generator are described by standardized modeling, and the parameter precision is improved by combining with the actual measurement; the backup strategy adopts fixed proportion configuration, and the threshold value is determined by relying on offline checking, such as determining the support capacity according to the power ratio of the sending end power supply and the load.

[0003] In the related art, the technical dynamic adaptability is poor, the static parameters are relied on, the dynamic parameters such as voltage and phase angle deviation are not considered, and the backup capacity is difficult to adjust with the system state; the AC / DC coordination mechanism is missing, there is no unified coordination index, and it is difficult to quantify the energy interaction demand in the multi-fault scenario; the homogeneous modeling is insufficient, and the influence of parameters such as channel operation time cannot be accurately reflected, resulting in deviation of the backup scheme from the actual characteristics. SUMMARY

[0004] The present disclosure provides a direct current sending-out channel fault optimization control method, device and electronic equipment to at least solve the above technical problems in the prior art.

[0005] According to a first aspect of the present application, a direct current sending-out channel fault optimization control method is provided, comprising:

[0006] An index satisfying the AC / DC energy coordination demand of the local fault of the sending end power grid and the sending-out channel fault is set, and target parameters required for calculating the index are determined;

[0007] Historical measurement data of the target parameters are obtained; the historical measurement data are sorted in time sequence;

[0008] Based on the historical measurement data, an influence factor of the target parameters at the current time on the target parameters at the next time is determined;

[0009] Based on the influence factor and the target parameter data at the current time, a predicted value of the target parameters at the next time is calculated;

[0010] Based on the predicted value of the target parameters at the next time, an index predicted value of the AC / DC energy emergency coordination of the local fault of the sending end power grid and the sending-out channel fault at the next time is calculated;

[0011] Based on the index predicted value, the target parameter data at the next time is adjusted.

[0012] In an implementation manner, the index satisfying the AC / DC energy coordination demand of the local fault of the sending end power grid and the sending-out channel fault is:

[0013] .

[0014] wherein, is a fixed time instant, wherein, is a natural number, , is the time instant, and is a natural number, ; is the maximum value of the total power output of the sending end power grid in the fixed time instant; is the maximum value of the total active power load of the sending end power grid in the fixed time instant; is the maximum value of the total reactive power load of the sending end power grid in the fixed time instant; is the maximum value of the maximum voltage deviation of the sending end power grid node from the time instant to the time instant in the fixed time instant; is the maximum value of the maximum phase angle deviation of the sending end power grid power source from the time instant to the time instant in the fixed time instant; is the maximum value of the time of uninterrupted operation of the AC channel from the time instant to the time instant in the fixed time instant; is the maximum value of the time of uninterrupted operation of the DC channel from the time instant to the time instant in the fixed time instant; is the minimum value of the total power output of the sending end power grid in the fixed time instant; is the minimum value of the total active power load of the sending end power grid in the fixed time instant; is the minimum value of the total reactive power load of the sending end power grid in the fixed time instant; is the From the fixed time point The moment to the The minimum value of the maximum voltage deviation of the sending-end power grid node at a given time; for this From the fixed time point The moment to the The minimum value of the maximum phase angle deviation of the power supply at the sending end of the grid at any given moment; for this From the fixed time point The moment to the The minimum fault-free operating time of the communication channel at any given moment; for this From the fixed time point The moment to the The minimum fault-free operating time of the DC channel at any given moment; For the first Total power output of the sending end at any given moment; For the first The total active power load of the sending-end power grid at any given time; For the first Total reactive load of the sending-end power grid at any given time; For from the first The moment to the The maximum voltage deviation of the sending-end power grid node at any given time; For from the first The moment to the The maximum deviation of the phase angle of the power supply at the sending end of the grid at any given moment; For from the first The moment to the The fault-free operation time of the communication channel at any given moment; For from the first The moment to the The fault-free operation time of the DC channel at any given moment.

[0015] In one possible implementation, the target parameter includes:

[0016] Total power output of the sending end, total active power load of the sending end grid, total reactive power load of the sending end grid, maximum voltage deviation of the sending end grid nodes, maximum phase angle deviation of the sending end grid power supply, fault-free operation time of the AC channel, and fault-free operation time of the DC channel.

[0017] In one possible implementation, acquiring historical measurement data of the target parameter includes:

[0018] Based on fixed time intervals, the total power output of the sending end, the total active power load of the sending end grid, the total reactive power load of the sending end grid, the maximum voltage deviation of the sending end grid nodes, the maximum phase angle deviation of the sending end grid power supply, the fault-free operation time of the AC channel, and the fault-free operation time of the DC channel are measured to obtain historical measurement data of the target parameters sorted in time order.

[0019] In one possible implementation, the influence factor of the target parameter at the current time on the target parameter at the next time is calculated in the following manner:

[0020] .

[0021] in, For the first The influence factors of the relevant parameters required for the emergency coordination index of AC / DC energy for local faults and transmission channel faults in the sending-end power grid at a given time point on the relevant parameters required for the emergency coordination index of AC / DC energy for local faults and transmission channel faults in the sending-end power grid at the next time point. For the first Total power output of the sending end at any given moment; For the first The total active power load of the sending-end power grid at any given time; For from the first The moment to the The maximum deviation of the phase angle of the power supply at the sending end of the grid at any given moment; For from the first The moment to the The maximum voltage deviation of the sending-end power grid node at any given time; for this The minimum value of the total power output of the transmitting end at a fixed time; for this The minimum value of the total active power load of the sending-end power grid at a fixed time; for this From the fixed time point The moment to the The minimum value of the maximum phase angle deviation of the power supply at the sending end of the grid at any given moment; for this From the fixed time point The moment to the The minimum value of the maximum voltage deviation of the sending-end grid node at a given time.

[0022] In one possible implementation, the predicted value of the target parameter at the next time step is calculated using the following method:

[0023]

[0024] in, for The predicted value of the total power output of the sending end at any given time; for The predicted value of the total active power load of the sending-end power grid at any given time; For from the first The moment to the The predicted value of the maximum phase angle deviation of the power supply at the sending end of the grid at a given moment; For from the first The moment to the The predicted value of the maximum voltage deviation of the sending-end power grid node at a given time; for The predicted value of the total reactive load of the sending-end power grid at any given time; For from the first The moment to the Predicted value of the fault-free operation time of the communication channel at a given moment; For from the first The moment to the The predicted value of the fault-free operating time of the DC channel at a given moment.

[0025] In one possible implementation, calculating the exponential prediction value of the emergency coordination of AC / DC energy between the local fault in the sending-end power grid and the fault in the sending-out channel at the next time moment, based on the predicted value of the target parameter at the next time moment, includes:

[0026] The predicted values ​​of the target parameters for the next time step are normalized to obtain normalized data;

[0027] Based on the normalized data, the exponential prediction value of the emergency coordination of AC / DC energy between local faults in the sending-end power grid and faults in the sending-out channel at the next moment.

[0028] In one possible implementation, adjusting the target parameter data for the next time step based on the predicted exponent includes:

[0029] If the predicted index value is greater than or equal to the first preset value, the target parameter data for the next moment is adjusted according to the first adjustment strategy.

[0030] If the predicted index value is less than the first preset value but greater than the second preset value, then the current target parameter data is maintained.

[0031] If the predicted index value is less than or equal to the second preset value, the target parameter data for the next moment will be adjusted according to the second adjustment strategy.

[0032] According to a second aspect of this application, a DC transmission channel fault optimization control device is provided, comprising:

[0033] The index setting module is used to set an index that meets the AC / DC energy coordination requirements of local faults in the sending-end power grid and faults in the sending-out channel, and to determine the target parameters required to calculate the index.

[0034] The data acquisition module is used to acquire historical measurement data of the target parameter; the historical measurement data is sorted based on time sequence.

[0035] The first calculation module is used to determine the influence factor of the target parameter at the current moment on the target parameter at the next moment based on the historical measurement data.

[0036] The second calculation module is used to calculate the predicted value of the target parameter at the next moment based on the influencing factor and the target parameter data at the current moment;

[0037] The third calculation module is used to calculate the index prediction value of the emergency coordination of AC and DC energy between the local fault of the sending-end power grid and the fault of the sending-out channel at the next moment, based on the target parameter prediction value at the next moment.

[0038] The data adjustment module is used to adjust the target parameter data for the next time step based on the index prediction value.

[0039] According to a third aspect of this application, an electronic device is provided, comprising:

[0040] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method described in this application.

[0041] According to a fourth aspect of this application, a non-transitory computer-readable storage medium is provided storing computer instructions for causing the computer to perform the methods described in this application.

[0042] According to a fifth aspect of this application, a computer program product is provided, comprising a computer program or instructions that, when executed by a processor, implement the method described in this application.

[0043] By utilizing the technical solution of this application, an index for unified emergency coordination of AC and DC energy is constructed to quantify the energy interaction demand under multiple fault scenarios, thereby making up for the lack of AC and DC coordination mechanism and enabling the sending-end power grid to operate safely under ultra-high voltage scenarios.

[0044] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0045] The above and other objects, features, and advantages of exemplary embodiments of this application will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings. Several embodiments of this application are illustrated in the drawings by way of example and not limitation, in which:

[0046] In the accompanying drawings, the same or corresponding reference numerals indicate the same or corresponding parts.

[0047] Figure 1 This illustration shows a schematic diagram of the steps in the DC transmission channel fault optimization control method in an embodiment of this application;

[0048] Figure 2 A flowchart illustrating the DC transmission channel fault optimization control method in an embodiment of this application is shown.

[0049] Figure 3 A schematic diagram of the DC transmission channel fault optimization control device in an embodiment of this application is shown;

[0050] Figure 4 A schematic diagram of the composition structure of the electronic device in an embodiment of this application is shown. Detailed Implementation

[0051] To make the objectives, features, and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0052] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0053] In the following description, references are made to “some embodiments,” which describe a subset of all possible embodiments. However, it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0054] In the following description, the terms "first" and "second" are used merely to distinguish similar objects and do not represent a specific ordering of objects. It is understood that "first" and "second" may be interchanged in a specific order or sequence where permitted, so that the embodiments of this application described herein can be implemented in an order other than that illustrated or described herein.

[0055] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0056] It should be understood that in the various embodiments of this application, the sequence number of each implementation process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0057] The following description, in conjunction with the accompanying drawings, introduces a DC transmission channel fault optimization control method, device, and electronic equipment provided in this application.

[0058] like Figure 1 As shown, this application provides a fault optimization control method for DC transmission channels, including:

[0059] S101, set an index to meet the AC / DC energy coordination requirements of local faults in the sending-end power grid and faults in the sending-out channel, and determine the target parameters required to calculate the index;

[0060] In this application, such as Figure 2 As shown, the emergency coordination index for AC / DC energy is defined for local faults in the sending-end power grid and faults in the sending-out channel. and according to The definition determines the target parameters required for the emergency coordination index of AC / DC energy for local faults in the sending-end power grid and faults in the sending-out channel.

[0061] In this application, the emergency coordination index of AC / DC energy for local faults in the sending-end power grid and faults in the sending-out channel is used. The target parameters are calculated to establish a mapping relationship between the emergency coordination needs of AC / DC energy for local faults in the sending-end power grid and faults in the sending-out channel and the target parameters.

[0062] In some embodiments, the index for meeting the AC / DC energy coordination requirements of local faults in the sending-end power grid and faults in the sending-out channel is:

[0063] .in, for At a fixed time, among which For natural numbers, , For the first At that moment, and For natural numbers, ; for this The maximum value of the total power output of the transmitting end at a fixed time; for this The maximum value of the total active power load of the sending-end power grid at a fixed time; for this The maximum value of the total reactive load of the sending-end power grid at a fixed time; for this From the fixed time point The moment to the The maximum value of the maximum voltage deviation at the sending-end power grid node at any given time; for this From the fixed time point The moment to the The maximum value of the maximum phase angle deviation of the power supply at the sending end of the grid at any given moment; for this From the fixed time point The moment to the The maximum value of the fault-free operating time of the communication channel at any given moment; for this From the fixed time point The moment to the The maximum value of the fault-free operating time of the DC channel at any given moment; for this The minimum value of the total power output of the sending end at a fixed time; for this The minimum value of the total active power load of the sending-end power grid at a fixed time; for this The minimum value of the total reactive load of the sending-end power grid at a fixed time; for this From the fixed time point The moment to the The minimum value of the maximum voltage deviation of the sending-end power grid node at a given time; for this From the fixed time point The moment to the The minimum value of the maximum phase angle deviation of the power supply at the sending end of the grid at any given moment; for this From the fixed time point The moment to the The minimum fault-free operating time of the communication channel at any given moment; for this From the fixed time point The moment to the The minimum fault-free operating time of the DC channel at any given moment; For the first Total power output of the sending end at any given moment; For the first The total active power load of the sending-end power grid at any given time; For the first Total reactive load of the sending-end power grid at any given time; For from the first The moment to the The maximum voltage deviation of the sending-end power grid node at any given time; For from the first The moment to the The maximum deviation of the phase angle of the power supply at the sending end of the grid at any given moment; For from the first The moment to the The fault-free operation time of the communication channel at any given moment; For from the first The moment to the The fault-free operation time of the DC channel at any given moment.

[0064] Based on the above indices, the target parameters include:

[0065] Total power output of the sending end, total active power load of the sending end grid, total reactive power load of the sending end grid, maximum voltage deviation of the sending end grid nodes, maximum phase angle deviation of the sending end grid power supply, fault-free operation time of the AC channel, and fault-free operation time of the DC channel.

[0066] S102, Obtain historical measurement data of the target parameter; the historical measurement data is sorted based on time sequence;

[0067] In some embodiments, obtaining historical measurement data of the target parameter includes:

[0068] Based on fixed time intervals, the total power output of the sending end, the total active power load of the sending end grid, the total reactive power load of the sending end grid, the maximum voltage deviation of the sending end grid nodes, the maximum phase angle deviation of the sending end grid power supply, the fault-free operation time of the AC channel, and the fault-free operation time of the DC channel are measured to obtain historical measurement data of the target parameters sorted in time order.

[0069] For example, select A fixed time The total power output of the sending end was measured during the dynamic optimization process of fault backup for the UHV AC / DC transmission channel of the sending-end power grid. Total active power load of the sending-end power grid Total reactive load of the sending-end power grid From the first The moment to the The fault-free operating time of the AC channel was measured at each moment. Maximum voltage deviation at the sending-end grid node Maximum phase angle deviation of the power supply at the sending end of the grid DC channel fault-free operation time The historical measurement data of the target parameters, sorted chronologically, are then obtained as follows:

[0070]

[0071] S103, Based on the historical measurement data, determine the influence factor of the target parameter at the current moment on the target parameter at the next moment;

[0072] This application analyzes the temporal correlation of parameters (such as the influence of history on the future) based on historical measurement data with a time sequence. For example, fluctuations in the current parameter may lead to an increase or decrease in the parameter at the next moment. Based on historical measurement data, this application calculates the influence factor of the target parameter at the current moment on the target parameter at the next moment using the following method. ,

[0073]

[0074] in, For the first The influence factors of the relevant parameters required for the emergency coordination index of AC / DC energy for local faults and transmission channel faults in the sending-end power grid at a given time point on the relevant parameters required for the emergency coordination index of AC / DC energy for local faults and transmission channel faults in the sending-end power grid at the next time point. For the first Total power output of the sending end at any given moment; For the first The total active power load of the sending-end power grid at any given time; For from the first The moment to the The maximum deviation of the phase angle of the power supply at the sending end of the grid at any given moment; For from the first The moment to the The maximum voltage deviation of the sending-end power grid node at any given time; for this The minimum value of the total power output of the sending end at a fixed time; for this The minimum value of the total active power load of the sending-end power grid at a fixed time; for this From the fixed time point The moment to the The minimum value of the maximum phase angle deviation of the power supply at the sending end of the grid at any given moment; for this From the fixed time point The moment to the The minimum value of the maximum voltage deviation of the sending-end grid node at a given time.

[0075] S104, Based on the influencing factors and the target parameter data at the current moment, calculate the predicted value of the target parameter at the next moment;

[0076] This application uses the target parameter data at the current moment as a benchmark and combines it with influencing factors to deduce the predicted value of the target parameter at the next moment through a mathematical model. The mathematical model provided in this application can be implemented using existing models or algorithms. For example, linear regression, time series forecasting, and other algorithms can be used.

[0077] The predicted values ​​of the target parameters for the next time step are calculated using the following methods:

[0078]

[0079] in, for The predicted value of the total power output of the sending end at any given time; for The predicted value of the total active power load of the sending-end power grid at any given time; For from the first The moment to the The predicted value of the maximum phase angle deviation of the power supply at the sending end of the grid at a given moment; For from the first The moment to the The predicted value of the maximum voltage deviation of the sending-end power grid node at a given time; for The predicted value of the total reactive load of the sending-end power grid at any given time; For from the first The moment to the Predicted value of the fault-free operation time of the communication channel at a given moment; For from the first The moment to the The predicted value of the fault-free operating time of the DC channel at a given moment.

[0080] S105, Based on the target parameter prediction value for the next moment, calculate the exponential prediction value of the emergency coordination of AC / DC energy between the local fault of the sending-end power grid and the fault of the sending-out channel for the next moment.

[0081] In some embodiments, calculating the exponential prediction value of the emergency coordination of AC / DC energy between the local fault in the sending-end power grid and the fault in the sending-out channel at the next time moment, based on the predicted value of the target parameter at the next time moment, includes:

[0082] The predicted values ​​of the target parameters for the next time step are normalized to obtain normalized data;

[0083] Based on the normalized data, the exponential prediction value of the emergency coordination of AC / DC energy between local faults in the sending-end power grid and faults in the sending-out channel at the next moment.

[0084] In this application, the predicted target parameter values ​​for the next time step are normalized using the following method.

[0085]

[0086] in, for Normalized value of the predicted total power output of the sending end at any given time; for The normalized value of the total active power load forecast of the sending-end power grid at any given time; For from the first The moment to the The normalized value of the predicted maximum deviation of the power supply phase angle at the sending end of the power grid at any given time. For from the first The moment to the The normalized value of the predicted maximum voltage deviation of the sending-end power grid node at each time point; for The normalized value of the forecast of total reactive load of the sending-end power grid at any given time; For from the first The moment to the Normalized value of the predicted fault-free operating time of the communication channel at any given moment; For from the first The moment to the Normalized value of the predicted fault-free operating time of the DC channel at each moment; for this The minimum value of the total power output of the sending end at a fixed time; for this The minimum value of the total active power load of the sending-end power grid at a fixed time; for this From the fixed time point The moment to the The minimum value of the maximum phase angle deviation of the power supply at the sending end of the grid at any given moment; for this From the fixed time point The moment to the The minimum value of the maximum voltage deviation of the sending-end power grid node at a given time; for this The minimum value of the total reactive load of the sending-end power grid at a fixed time; for this From the fixed time point The moment to the The minimum fault-free operating time of the communication channel at any given moment; for this From the fixed time point The moment to the The minimum fault-free operating time of the DC channel at any given moment; for this The maximum value of the total power output of the transmitting end at a fixed time; for this The maximum value of the total active power load of the sending-end power grid at a fixed time; for this From the fixed time point The moment to the The maximum value of the maximum phase angle deviation of the power supply at the sending end of the grid at any given moment; for this From the fixed time point The moment to the The maximum value of the maximum voltage deviation at the sending-end power grid node at any given time; for this The maximum value of the total reactive load of the sending-end power grid at a fixed time; for this From the fixed time point The moment to the The maximum value of the fault-free operating time of the communication channel at any given moment; for this From the fixed time point The moment to the The maximum value of the fault-free operating time of the DC channel at any given moment.

[0087] Then, the next time step is calculated in the following way. The index prediction value for emergency coordination of AC / DC energy in response to local faults in the sending-end power grid and faults in the sending-out channel.

[0088]

[0089] in, for The predicted value of the index at any given time; for The predicted value of the total power output of the sending end at any given time; for The predicted value of the total active power load of the sending-end power grid at any given time; for The predicted value of the maximum phase angle deviation of the power supply at the sending end of the grid at any given time; for The predicted value of the maximum voltage deviation at the sending-end grid node at any given time; for The predicted value of the total reactive load of the sending-end power grid at any given time; for Predicted time of fault-free operation of the communication channel; for Predicted value of fault-free operation time of DC channel at any given time;

[0090] S106, Based on the predicted index value, adjust the target parameter data for the next time step.

[0091] In some embodiments, adjusting the target parameter data for the next time step based on the exponential prediction value includes:

[0092] If the predicted index value is greater than or equal to the first preset value, the target parameter data for the next moment is adjusted according to the first adjustment strategy.

[0093] If the predicted index value is less than the first preset value but greater than the second preset value, then the current target parameter data is maintained.

[0094] If the predicted index value is less than or equal to the second preset value, the target parameter data for the next moment will be adjusted according to the second adjustment strategy.

[0095] Specifically, the first preset value is 0.763, and the second preset value is 0.245. This is based on the predicted index value for emergency coordination of AC / DC energy between local faults in the sending-end power grid and faults in the sending-out channel. If the value is greater than or equal to 0.763, it is considered that the demand for backup capacity will be significant in the next transmission channel failure period, and in this case, [the following should be considered]. The fault reserve capacity of the UHV AC / DC transmission channel of the sending-end power grid is optimized to the existing capacity. If the predicted value of the emergency coordination index of AC / DC energy for local faults in the sending-end power grid and faults in the sending-out channel is obtained, then... If less than or equal to 0.245, then it is considered... The requirement for backup capacity is relatively small if the outgoing channel fails at any time; therefore, it should be... The fault reserve capacity of the UHV AC / DC transmission channel of the sending-end power grid is optimized to the existing capacity. If the predicted value of the emergency coordination index of AC / DC energy for local faults in the sending-end power grid and faults in the sending-out channel is obtained, the index will be multiplied by 100%. If the value is greater than 0.245 and less than 0.763, it is considered that the fault reserve requirement of the transmission channel will remain basically unchanged in the next time period, and the reserve capacity can be maintained unchanged. This invention dynamically optimizes the reserve capacity based on real-time status measurement data of the sending-end power grid and the UHV transmission channel, achieving efficient utilization of reserve resources while ensuring stability.

[0096] The DC transmission channel fault optimization control method provided in this application quantifies the energy interaction demand under multiple fault scenarios by constructing an index for unified AC / DC energy emergency coordination, making up for the lack of AC / DC coordination mechanism, and enabling the sending-end power grid to operate safely under UHV scenarios.

[0097] like Figure 3 As shown, this application provides a DC transmission channel fault optimization control device, comprising:

[0098] The index setting module 301 is used to set an index that meets the AC / DC energy coordination requirements of local faults in the sending-end power grid and faults in the sending-out channel, and to determine the target parameters required to calculate the index.

[0099] The data acquisition module 302 is used to acquire historical measurement data of the target parameter; the historical measurement data is sorted based on time sequence.

[0100] The first calculation module 303 is used to determine the influence factor of the target parameter at the current moment on the target parameter at the next moment based on the historical measurement data.

[0101] The second calculation module 304 is used to calculate the predicted value of the target parameter at the next moment based on the influencing factor and the target parameter data at the current moment;

[0102] The third calculation module 305 is used to calculate the index prediction value of the emergency coordination of AC and DC energy between the local fault of the sending-end power grid and the fault of the sending-out channel at the next moment, based on the target parameter prediction value at the next moment.

[0103] The data adjustment module 306 is used to adjust the target parameter data for the next moment based on the index prediction value.

[0104] The DC transmission channel fault optimization control device provided in this application includes an index setting module 301 that sets an index to meet the AC / DC energy coordination requirements of local faults in the sending-end power grid and faults in the transmission channel, and determines the target parameters required to calculate the index; a data acquisition module 302 that acquires historical measurement data of the target parameters, the historical measurement data being sorted chronologically; a first calculation module 303 that, based on the historical measurement data, determines the influence factor of the target parameters at the current moment on the target parameters at the next moment; a second calculation module 304 that, based on the influence factor and the target parameter data at the current moment, calculates the predicted value of the target parameters at the next moment; a third calculation module 305 that, based on the predicted value of the target parameters at the next moment, calculates the predicted index value of the emergency coordination of AC / DC energy between local faults in the sending-end power grid and faults in the transmission channel at the next moment; and a data adjustment module 306 that, based on the predicted index value, adjusts the target parameter data at the next moment.

[0105] According to embodiments of this application, this application also provides an electronic device and a readable storage medium.

[0106] The electronic device includes at least one processor and a memory communicatively connected to the at least one processor. The memory stores instructions executable by the at least one processor, which, when executed, enable the at least one processor to perform the DC transmission channel fault optimization control method described in this application. The computer instructions are used to cause the computer to execute the DC transmission channel fault optimization control method described in this application.

[0107] This application also provides a computer program product, including a computer program / instructions, which, when executed by a processor, implements the DC transmission channel fault optimization control method of this application.

[0108] Figure 4A schematic block diagram of an example electronic device 800 that can be used to implement embodiments of this application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.

[0109] like Figure 4 As shown, device 800 includes a computing unit 801, which can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) 802 or a computer program loaded from storage unit 808 into random access memory (RAM) 803. RAM 803 may also store various programs and data required for the operation of device 800. The computing unit 801, ROM 802, and RAM 803 are interconnected via bus 804. Input / output (I / O) interface 805 is also connected to bus 804.

[0110] Multiple components in device 800 are connected to I / O interface 805, including: input unit 806, such as keyboard, mouse, etc.; output unit 807, such as various types of monitors, speakers, etc.; storage unit 808, such as disk, optical disk, etc.; and communication unit 809, such as network card, modem, wireless transceiver, etc. Communication unit 809 allows device 800 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0111] The computing unit 801 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs the various methods and processes described above, such as the DC transmission channel fault optimization control method. For example, in some embodiments, the DC transmission channel fault optimization control method can be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 808. In some embodiments, part or all of the computer program can be loaded and / or installed on device 800 via ROM 802 and / or communication unit 809. When the computer program is loaded into RAM 803 and executed by the computing unit 801, one or more steps of the DC transmission channel fault optimization control method described above can be performed. Alternatively, in other embodiments, the computing unit 801 may be configured to perform a DC output channel fault optimization control method by any other suitable means (e.g., by means of firmware).

[0112] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0113] The program code used to implement the methods of this application may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0114] In the context of this application, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0115] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0116] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0117] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0118] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for direct current transmission path fault optimization control, characterized in that, The method comprises the following steps: setting an index meeting the AC / DC energy coordination requirement of the sending-end power grid local fault and the sending-out channel fault, and determining target parameters required for calculating the index; obtaining historical measurement data of the target parameters; the historical measurement data is based on time sequence sorting; based on the historical measurement data, determining an influence factor of the target parameters at the current time on the target parameters at the next time; based on the influence factor and the target parameter data at the current time, calculating a predicted value of the target parameters at the next time; based on the predicted value of the target parameters at the next time, calculating an index predicted value of the AC / DC energy emergency coordination of the sending-end power grid local fault and the sending-out channel fault at the next time; based on the index predicted value, adjusting the target parameter data at the next time; the index meeting the AC / DC energy coordination requirement of the sending-end power grid local fault and the sending-out channel fault is wherein, is a fixed time instant, wherein, is a natural number, , is the time instant, and is a natural number, ; is the maximum value of the total power output of the sending end power source in the fixed time instant; is the maximum value of the total active power load of the sending end power grid in the fixed time instant; is the maximum value of the total reactive power load of the sending end power grid in the fixed time instant; is the maximum value of the maximum voltage deviation of the sending end power grid node from the time instant to the time instant in the fixed time instant; is the maximum value of the maximum phase angle deviation of the sending end power source from the time instant to the time instant in the fixed time instant; is the maximum value of the uninterrupted operation time of the AC channel from the time instant to the time instant in the fixed time instant; is the maximum value of the uninterrupted operation time of the DC channel from the time instant to the time instant in the fixed time instant; is the minimum value of the total power output of the sending end power source in the fixed time instant; is the minimum value of the total active power load of the sending end power grid in the fixed time instant; is the minimum value of the total reactive power load of the sending end power grid in the fixed time instant; is the minimum value of the maximum voltage deviation of the sending end power grid node from the time instant to the the minimum value of the maximum voltage deviation of the sending-end grid node at the fixed moment; is the minimum value of the maximum phase angle deviation of the sending-end grid power source from the moment to the moment at the fixed moment; is the minimum value of the AC channel fault-free operation time from the moment to the moment at the fixed moment; is the minimum value of the DC channel fault-free operation time from the moment to the moment at the fixed moment; is the total sending-end power output at the moment; is the total sending-end grid active power load at the moment; is the total sending-end grid reactive load at the moment; is the maximum voltage deviation of the sending-end grid node from the moment to the moment; is the maximum phase angle deviation of the sending-end grid power source from the moment to the moment; is the AC channel fault-free operation time from the moment to the moment; is the DC channel fault-free operation time from the moment to the moment.

2. The method of claim 1, wherein, the target parameters comprise: total sending-end power source output power, total sending-end power grid active power load, total sending-end power grid reactive power load, sending-end power grid node maximum voltage deviation, sending-end power grid power source phase angle maximum deviation, AC channel fault-free operation time, and DC channel fault-free operation time.

3. The method of claim 1, wherein, the step of obtaining the historical measurement data of the target parameters comprises: based on a fixed time interval, measuring the total sending-end power source output power, the total sending-end power grid active power load, the total sending-end power grid reactive power load, the sending-end power grid node maximum voltage deviation, the sending-end power grid power source phase angle maximum deviation, the AC channel fault-free operation time, and the DC channel fault-free operation time to obtain the historical measurement data of the target parameters based on time sequence sorting.

4. The method of claim 1, wherein, the influence factor of the target parameters at the current time on the target parameters at the next time is calculated in the following manner, wherein, is the emergency coordination index of AC / DC energy between local faults in the sending end power grid and faults in the sending path at the emergency coordination index of AC / DC energy between local faults in the sending end power grid and faults in the sending path at the total power output of the sending end power source at the total active power load of the sending end power grid at the maximum phase angle deviation of the sending end power grid from the maximum voltage deviation of the sending end power grid from the maximum voltage deviation of the sending end power grid from the the minimum value of the total power output of the sending end power source in the the minimum value of the total active power load of the sending end power grid in the the minimum value of the maximum phase angle deviation of the sending end power grid from the the minimum value of the maximum voltage deviation of the sending end power grid from the ​​​​​​​​​​​​​​​​ 5. The method of claim 1, wherein, the predicted value of the target parameters at the next time is calculated in the following manner, which comprises: in, for The predicted value of the total power output of the sending end at any given time; for The predicted value of the total active power load of the sending-end power grid at any given time; For from the first The moment to the The predicted value of the maximum phase angle deviation of the power supply at the sending end of the grid at a given moment; For from the first The moment to the The predicted value of the maximum voltage deviation of the sending-end power grid node at a given time; for The predicted value of the total reactive load of the sending-end power grid at any given time; For from the first The moment to the Predicted value of the fault-free operation time of the communication channel at a given moment; For from the first The moment to the Predicted value of fault-free operation time of DC channel at a given moment; , , , The first , , , The influence factors of the relevant parameters required for the emergency coordination index of AC / DC energy for local faults and transmission channel faults at the sending-end power grid at a given time point on the relevant parameters required for the emergency coordination index of AC / DC energy for local faults and transmission channel faults at the sending-end power grid at the next time point; n is the number of fixed time points.

6. The method of claim 1, wherein, the step of calculating the index predicted value of the AC / DC energy emergency coordination of the sending-end power grid local fault and the sending-out channel fault at the next time based on the predicted value of the target parameters at the next time comprises: normalizing the predicted value of the target parameters at the next time to obtain normalized data; based on the normalized data, the index predicted value of the AC / DC energy emergency coordination of the sending-end power grid local fault and the sending-out channel fault at the next time.

7. The method of claim 6, wherein, the step of adjusting the target parameter data at the next time based on the index predicted value comprises: if the index predicted value is greater than or equal to a first preset value, adjusting the target parameter data at the next time according to a first adjustment strategy; if the index predicted value is less than the first preset value and greater than a second preset value, keeping the current target parameter data; if the index predicted value is less than or equal to the second preset value, adjusting the target parameter data at the next time according to a second adjustment strategy.

8. A direct current transmission path failure optimization control device characterized by comprising: The method comprises the following steps: an index setting module is configured to set an index meeting the AC / DC energy coordination requirement of the sending-end power grid local fault and the sending-out channel fault, and determine target parameters required for calculating the index; a data acquisition module is configured to obtain historical measurement data of the target parameters; the historical measurement data is based on time sequence sorting; a first calculation module is configured to determine an influence factor of the target parameters at the current time on the target parameters at the next time based on the historical measurement data; a second calculation module, configured to calculate a target parameter predicted value at a next moment based on the influence factor and target parameter data at the current moment; a third calculation module, configured to calculate an index predicted value of emergency coordination of AC / DC energy between a local fault of a sending-end power grid and a sending-out channel fault at the next moment based on the target parameter predicted value at the next moment; a data adjustment module, configured to adjust target parameter data at the next moment based on the index predicted value; the index satisfying the AC / DC energy coordination requirement between the local fault of the sending-end power grid and the sending-out channel fault is wherein, is a fixed time instant, wherein, is a natural number, , is the time instant, and is a natural number, ; is the maximum value of the total power output of the sending end power grid in the fixed time instant; is the maximum value of the total active power load of the sending end power grid in the fixed time instant; is the maximum value of the total reactive power load of the sending end power grid in the fixed time instant; is the maximum value of the maximum voltage deviation of the sending end power grid nodes from the time instant to the time instant in the fixed time instant; is the maximum value of the maximum phase angle deviation of the sending end power grid power sources from the time instant to the time instant in the fixed time instant; is the maximum value of the fault-free operating time of the AC channel from the time instant to the time instant in the fixed time instant; is the maximum value of the fault-free operating time of the DC channel from the time instant to the time instant in the fixed time instant; is the minimum value of the total power output of the sending end power grid in the fixed time instant; is the minimum value of the total active power load of the sending end power grid in the fixed time instant; is the minimum value of the total reactive power load of the sending end power grid in the fixed time instant; is the the minimum value of the maximum voltage deviation of the sending-end grid node at the fixed moment; is the minimum value of the maximum phase angle deviation of the sending-end grid power source from the moment to the moment at the fixed moment; is the minimum value of the AC channel fault-free running time from the moment to the moment at the fixed moment; is the minimum value of the DC channel fault-free running time from the moment to the moment at the fixed moment; is the total sending-end power output at the moment; is the total sending-end grid active power load at the moment; is the total sending-end grid reactive load at the moment; is the maximum voltage deviation of the sending-end grid node from the moment to the moment; is the maximum phase angle deviation of the sending-end grid power source from the moment to the moment; is the AC channel fault-free running time from the moment to the moment; is the DC channel fault-free running time from the moment to the moment.

9. An electronic device, comprising: at least one processor; and a memory connected in communication with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 8.

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