Power distribution network operation monitoring method and device, electronic equipment and readable storage medium

Abstract

The invention provides a power distribution network operation monitoring method and device, electronic equipment and a readable storage medium, and belongs to the technical field of power distribution network operation monitoring. The method comprises the steps of obtaining design parameters and actual operation parameters of a power distribution network; based on the design parameters of the power distribution network, determining a safety working range of a safety domain of the power distribution network by using a dual space algorithm; performing dual transformation on the actual operation parameters by using a dual space algorithm to obtain transformed operation parameters; determining an actual operation point of the power distribution network based on the transformed operation parameters; based on the actual operation point and the safe working range, the operation state of the power distribution network is determined, and the operation state comprises safe operation and unsafe operation. By obtaining the design parameters and the actual operation parameters of the power distribution network, the operation state of the power distribution network is determined based on the dual space algorithm, real-time monitoring of operation of the power distribution network is achieved, the monitoring result is accurate, and the safety of operation of the power distribution network can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network operation monitoring, and in particular to a distribution network operation monitoring method, a distribution network operation monitoring device, an electronic device and a readable storage medium. Background Art

[0002] At present, the operation monitoring of the distribution network is usually evaluated by analyzing each independent component separately. However, due to the large number of components in the distribution network, analyzing each component one by one requires a large amount of data to be analyzed. The processing volume is too large, the analysis time is long, and there is a certain lag, which leads to the inability to provide timely feedback and cannot meet the accurate monitoring of real-time online operation, posing certain safety risks. Summary of the invention

[0003] The purpose of the embodiments of the present invention is to provide a distribution network operation monitoring method, device, electronic device and readable storage medium, so as to at least solve the above-mentioned problem that each component of the distribution network needs to be analyzed one by one, a large amount of data needs to be analyzed, the processing volume is too large, the analysis time is long, there is a certain lag, and feedback cannot be provided in time, and accurate monitoring of real-time online operation cannot be met, and there are certain safety risks.

[0004] In order to achieve the above object, the present invention provides a first aspect of a distribution network operation monitoring method, the method comprising: Obtain the design parameters and actual operating parameters of the distribution network; Based on the design parameters of the distribution network, the dual space algorithm is used to determine the safe working range of the distribution network security domain; The dual space algorithm is used to perform a dual transformation on the actual operating parameters to obtain the transformed operating parameters; Based on the transformed operating parameters, the actual operating point of the distribution network is determined; Based on the actual operating point and the safe operating range, the operating state of the distribution network is determined; the operating state includes: safe operation and unsafe operation.

[0005] Optionally, the actual operating point design parameters include: maximum operating capacity and maximum operating load of transformers in the distribution network, and maximum operating capacity of tie lines; Based on the design parameters of the distribution network, the dual space algorithm is used to determine the safe working range of the distribution network security domain, including: Based on the design parameters of the distribution network, the unit sphere in the dual space is determined; Determine at least one continuous function on the unit sphere, wherein solutions of the continuous function on the unit sphere are all greater than zero; The infimum of the continuous function is taken as the safe working range of the distribution network safety domain.

[0006] Optionally, a dual space algorithm is used to perform a dual transformation on the actual operating parameters to obtain transformed operating parameters, including: Construct parameter matrix based on actual operating parameters; The parameter matrix is ​​subjected to a dual transformation using a dual space algorithm to obtain a transformed matrix as the transformed operating parameter.

[0007] Optionally, the actual operating parameters of the distribution network include: voltage, current, amplitude and phase parameters; Based on the transformed operating parameters, the actual operating point of the distribution network is determined, including: The transformed operating parameters are used as input of an operating point determination model to obtain an actual operating point of the distribution network. The operating point determination model is obtained by training a neural network model using a training data set, and the training data set contains combinations of different historical voltages, different historical currents, different historical amplitudes, and different historical phases of historical operating points of the distribution network.

[0008] Optionally, determining the distribution network operation state based on the actual operation point and the safe operation range includes: If the actual operating point is within the safe operating range, determining that the operating state of the distribution network is safe operation; If the actual operating point is not within the safe operating range, it is determined that the operating state of the distribution network is unsafe operation.

[0009] Optionally, the method further includes: When the distribution network is determined to be operating safely: Based on the actual operating parameters of the distribution network, the operating change rate of the distribution network is determined using Chebyshev's theorem; Based on the distribution network operation change rate, the distribution network operation safety risk is determined, and the operation safety risk includes: high risk and low risk.

[0010] Optionally, determining the distribution network operation safety risk based on the distribution network operation change rate includes: If the distribution network operation rate is greater than or equal to the set rate threshold, the distribution network is determined to be at high risk; If the distribution network operation rate is less than the set rate threshold, it is determined that the distribution network is at low risk.

[0011] A second aspect of the present invention provides a distribution network operation monitoring device, the device comprising: A parameter acquisition module is used to obtain the design parameters and actual operation parameters of the distribution network; A working range determination module is used to determine the safe working range of the distribution network safety domain based on the design parameters of the distribution network and using a dual space algorithm; A data transformation module is used to perform a dual transformation on the actual operating parameters using a dual space algorithm to obtain the transformed operating parameters; An operating point determination module, used for determining the actual operating point of the distribution network based on the transformed operating parameters; The operating status judgment module is used to determine the operating status of the distribution network based on the actual operating point and the safe operating range; the operating status includes: safe operation and unsafe operation.

[0012] A third aspect of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned distribution network operation monitoring method when executing the computer program.

[0013] On the other hand, the present invention provides a machine-readable storage medium having instructions stored thereon, the instructions being used to enable a machine to execute the above-mentioned distribution network operation monitoring method of the present invention.

[0014] This technical solution obtains the design parameters and actual operating parameters of the distribution network, and based on the dual space algorithm, obtains the safe working range of the distribution network safety domain and the actual operating point of the distribution network, so as to accurately determine the operating status of the distribution network and realize real-time monitoring of the distribution network operation. The monitoring results are accurate and have no lag, which can improve the safety of power grid operation.

[0015] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings: Figure 1 It is a flow chart of a first distribution network operation monitoring method provided by the present invention; Figure 2 is a flow chart of a second distribution network operation monitoring method provided by the present invention; Figure 3 It is a flow chart for determining the safe working range of the distribution network safety domain provided by the present invention; Figure 4 It is a structural block diagram of the distribution network operation monitoring provided by the present invention.

[0017] Description of Reference Numerals 10- parameter acquisition module; 20- working range determination module; 30- data conversion module; 40 - operating point determination module; 50 - operating status judgment module. DETAILED DESCRIPTION

[0018] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0019] Figure 1 It is a flow chart of a first distribution network operation monitoring method provided by the present invention; Figure 2 is a flow chart of a second distribution network operation monitoring method provided by the present invention; Figure 3 It is a flow chart for determining the safe working range of the distribution network safety domain provided by the present invention; Figure 4 It is a structural block diagram of the distribution network operation monitoring provided by the present invention.

[0020] like Figure 1 As shown, an embodiment of the present invention provides a distribution network operation monitoring method, the method comprising: Step 1: Obtain the design parameters and actual operation parameters of the distribution network; Step 2: Based on the design parameters of the distribution network, the dual space algorithm is used to determine the safe working range of the distribution network security domain; Step 3: Use the dual space algorithm to perform a dual transformation on the actual operating parameters to obtain the transformed operating parameters; Step 4: Determine the actual operating point of the distribution network based on the transformed operating parameters; Step 5: Based on the actual operating point and the safe operating range, determine the operating state of the distribution network; the operating state includes: safe operation and unsafe operation.

[0021] Specifically, in this embodiment, the design parameters include: the maximum working capacity and maximum working load of the transformer in the distribution network, and the maximum working capacity of the tie line. In the initial design stage of the distribution network, due to the structural properties of the transformer and the transmission cable themselves, the distribution network has a maximum operating load. Therefore, based on the maximum working capacity and maximum working load of the transformer in the distribution network, and the maximum working capacity of the tie line, the dual space algorithm can be used to accurately determine the safe working range of the safety domain of the distribution network. In addition, in the actual operation of the distribution network, by obtaining the actual operating parameters of the distribution network including: voltage, current, amplitude and phase parameters, the dual space algorithm is used to perform a dual transformation on the actual operating parameters to obtain the transformed operating parameters, and then the transformed operating parameters are used to accurately determine the actual operating point of the distribution network. Based on the actual operating point and the safe working range, the operating state of the distribution network is determined, wherein the operating state includes: safe operation and unsafe operation. The safety domain and power supply capacity of the distribution network describe the operating range and maximum load capacity of the distribution network under safety conditions.

[0022] In this scheme, the role of the dual safety domain of the distribution network is to transform the safety analysis that relies on manual experience into a safety range judgment problem based on the dual space theory. It can accurately determine the operating status of the distribution network and realize real-time monitoring of the distribution network operation. The monitoring results are accurate and have no lag, which can improve the safety of power grid operation.

[0023] Among them, the actual operating parameters of the distribution network are obtained from the dispatching energy management system (EMS, Energy Management System), and data collection is performed at preset time intervals.

[0024] Furthermore, based on the design parameters of the distribution network, the dual space algorithm is used to determine the safe working range of the distribution network security domain, such as Figure 3 As shown, including: Step 21: Based on the design parameters of the distribution network, a unit sphere in the dual space is obtained; Step 22: determining at least one continuous function on the unit sphere, wherein solutions of the continuous function on the unit sphere are all greater than zero; Step 23: Taking the infimum of the continuous function as the safe working range of the distribution network safety domain.

[0025] Specifically, in this embodiment, the design parameters are substituted into the dual space formula to obtain the dual space formula: The unit sphere in is represented as follows:

[0026] in, is the unit sphere; x1-xn are design parameters; The function on is the distribution network security region R1 in the dual space.

[0027] in,

[0028] and exist The upper is greater than zero everywhere; exist The infimum of the upper bound is the safe working range of the dual safety domain of the distribution network, with parameters:

[0029] Among them, in the equation xi It refers to the iterative algorithm i matrix elements, ei It refers to i The error corresponding to each element.

[0030] Furthermore, the dual space algorithm is used to perform a dual transformation on the actual operating parameters to obtain the transformed operating parameters, including: Construct parameter matrix based on actual operation parameters; A dual space algorithm is used to perform a dual transformation on the parameter matrix to obtain a transformed matrix as the transformed operating parameter.

[0031] Specifically, in this embodiment, before using the dual space algorithm to perform a dual transformation on the actual operating parameters to obtain the transformed operating parameters, a parameter matrix is ​​constructed based on the actual operating parameters, and the dual space algorithm is used to perform a dual transformation on the parameter matrix to obtain the transformed matrix as the transformed operating parameters. This approach can increase the correlation and standardization between data and facilitate computational processing, thereby ensuring the accuracy of subsequent calculation results.

[0032] More specifically, based on the dual space algorithm, the ordinary parameter matrix X' is subjected to a dual transformation in the security domain to obtain the dual transformation matrix X. According to the duality theory, , so there is ; According to the characteristics of power flow distribution in the distribution network, the conventional parameters are set ,but ,and , this parameter can make the dual space of the distribution network conform to the physical characteristics of the power grid and meet the characteristics of instantaneous power balance.

[0033] Further, based on the transformed operating parameters, the actual operating point of the distribution network is determined, including: The transformed operating parameters are used as input of an operating point determination model to obtain an actual operating point of the distribution network. The operating point determination model is obtained by training a neural network model using a training data set, and the training data set contains combinations of different historical voltages, different historical currents, different historical amplitudes, and different historical phases of historical operating points of the distribution network.

[0034] Specifically, in this embodiment, the operating point determination model is pre-trained. First, combinations of different historical voltages, different historical currents, different historical amplitudes, and different historical phases and corresponding historical operating points are obtained, and the neural network model is trained after the data is calibrated.

[0035] Further, based on the actual operating point and the safe operating range, determining the operating state of the distribution network includes: If the actual operating point is within the safe operating range, determining that the operating state of the distribution network is safe operation; If the actual operating point is not within the safe operating range, it is determined that the operating state of the distribution network is unsafe operation.

[0036] Specifically, in this embodiment, if the actual operating point is within the safe operating range, it means that the operation of the distribution network does not exceed the designed rated value. At this time, the distribution network can operate stably and safely; if the actual operating point is not within the safe operating range, it means that the operation of the distribution network exceeds the designed rated value. At this time, the distribution network is in an unsafe operating state. If it operates in this state for a long time, it will cause equipment damage and other situations. There is a high safety risk. Therefore, it is necessary to adjust the operation of the distribution network.

[0037] Furthermore, if Figure 2 As shown, the method also includes: When the distribution network is determined to be operating safely: Based on the actual operating parameters of the distribution network, the operating change rate of the distribution network is determined using Chebyshev's theorem; Based on the distribution network operation change rate, the distribution network operation safety risk is determined, and the operation safety risk includes: high risk and low risk.

[0038] More specifically, when it is determined that the operating state of the distribution network is safe operation, although the distribution network is in a safe operating state at this time, the operating parameters of the distribution network will change during the operation. However, if the operating parameters change more drastically, it will cause certain operating safety risks in the distribution network. Therefore, based on the Chebyshev probability, the changes in the operating parameters of the distribution network are analyzed to determine the operating risks of the distribution network.

[0039] Further, based on the distribution network operation change rate, determining the distribution network operation safety risk includes: If the distribution network operation rate is greater than or equal to the set rate threshold, the distribution network is determined to be at high risk; If the distribution network operation rate is less than the set rate threshold, it is determined that the distribution network is at low risk.

[0040] During the operation process, the operating parameters of the distribution network will change to a certain extent. However, if the operating parameters change drastically, it will cause certain operating safety risks in the distribution network. Therefore, when the operating rate of the distribution network is greater than or equal to the set threshold, the distribution network is considered to be at high risk. If it is in this operating state for a long time, it will also cause damage to the equipment, causing the distribution network to enter an unsafe operating state from a safe operating state.

[0041] More specifically, in another embodiment, the method further comprises: When it is determined that the operation state of the distribution network is unsafe, a first alarm signal is generated to warn the staff to adjust the operation of the distribution network in time; when it is determined that the distribution network is in high-risk operation, a second alarm signal is generated to warn the staff to monitor the operation of the distribution network in time; wherein, the first alarm signal is used to generate an audible and visual alarm (such as a buzzer + red light alarm) for safety prompts. The second alarm signal is used to generate a yellow light alarm for warning.

[0042] The embodiment of the present invention also provides a distribution network operation monitoring device, such as Figure 4 As shown, the device comprises: The parameter acquisition module 10 is used to obtain the design parameters and actual operation parameters of the distribution network; A working range determination module 20, for determining a safe working range of a distribution network safety domain using a dual space algorithm based on design parameters of the distribution network; The data transformation module 30 is used to perform a dual transformation on the actual operating parameters using a dual space algorithm to obtain transformed operating parameters; An operating point determination module 40, for determining an actual operating point of the distribution network based on the transformed operating parameters; The operation status judgment module 50 is used to determine the operation status of the distribution network based on the actual operation point and the safe working range; the operation status includes: safe operation and unsafe operation.

[0043] An embodiment of the present invention further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned distribution network operation monitoring method when executing the computer program.

[0044] An embodiment of the present invention further provides a readable storage medium, on which instructions are stored, and the instructions are used to enable a machine to execute the above-mentioned distribution network operation monitoring method.

[0045] This scheme abstracts the multi-objective resource scheduling of the distribution network into a regulation safety domain problem, which is a nonlinear multi-element system. Among them, the dual operation or transformation of the distribution network is: there must be an operation or transformation in the principle of the distribution network dual system that can convert the parameters inside the system into the dual parameters of the distribution network. This operation or transformation is called the dual operation or transformation of the distribution network. Equivalence of the dual parameters of the distribution network: In the principle of the distribution network dual system, the dual parameters of the distribution network are equivalent to the original parameters, that is, they have the same physical meaning. The parameter exchange of the distribution network dual system does not change the properties or laws of the system, but only provides different ways to observe or describe the distribution network. The existence of distribution network symmetry: there is a certain symmetry in the principle of the distribution network dual system, that is, the properties of the distribution network dual system remain unchanged after the parameters are exchanged. This distribution network symmetry makes the dual system more convenient in interpretation and application. The parameters inside the system can be exchanged with each other, and the properties or laws of the system remain unchanged under the operation of the mutual exchange. The definition of the dual system emphasizes two key points: parameter exchange and maintenance of system properties.

[0046] Those skilled in the art will understand that all or part of the steps in the method for implementing the above-mentioned embodiments can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including several instructions for making a single-chip microcomputer, a chip or a processor execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0047] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0048] The optional embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above embodiments. Within the technical concept of the embodiments of the present invention, the technical scheme of the embodiments of the present invention can be subjected to a variety of simple modifications, and these simple modifications all belong to the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0049] In addition, various embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed in the embodiments of the present invention.

Claims

1. A distribution network operation monitoring method, characterized in that: The method comprises: Obtain the design parameters and actual operating parameters of the distribution network; Based on the design parameters of the distribution network, the dual space algorithm is used to determine the safe working range of the distribution network security domain; The dual space algorithm is used to perform a dual transformation on the actual operating parameters to obtain the transformed operating parameters; Based on the transformed operating parameters, the actual operating point of the distribution network is determined; Based on the actual operating point and the safe operating range, the operating state of the distribution network is determined; the operating state includes: safe operation and unsafe operation.

2. The distribution network operation monitoring method according to claim 1, characterized in that: The design parameters of the distribution network include: the maximum operating capacity of the transformers in the distribution network, the maximum operating load, and the maximum operating capacity of the tie lines; Based on the design parameters of the distribution network, the dual space algorithm is used to determine the safe working range of the distribution network security domain, including: Based on the design parameters of the distribution network, the unit sphere in the dual space is determined; Determine at least one continuous function on the unit sphere, wherein solutions of the continuous function on the unit sphere are all greater than zero; The infimum of the continuous function is taken as the safe working range of the distribution network safety domain.

3. The distribution network operation monitoring method according to claim 1, characterized in that: The dual space algorithm is used to perform a dual transformation on the actual operating parameters to obtain the transformed operating parameters, including: Construct parameter matrix based on actual operating parameters; The parameter matrix is ​​subjected to a dual transformation using a dual space algorithm to obtain a transformed matrix as the transformed operating parameter.

4. The method for monitoring the operation of a distribution network according to claim 1, characterized in that: The actual operating parameters of the distribution network include: voltage, current, amplitude and phase parameters; Based on the transformed operating parameters, the actual operating point of the distribution network is determined, including: The transformed operating parameters are used as input of an operating point determination model to obtain an actual operating point of the distribution network. The operating point determination model is obtained by training a neural network model using a training data set, and the training data set contains combinations of different historical voltages, different historical currents, different historical amplitudes, and different historical phases of historical operating points of the distribution network.

5. The distribution network operation monitoring method according to claim 1, characterized in that: Based on the actual operating point and the safe operating range, determining the operating state of the distribution network includes: If the actual operating point is within the safe operating range, determining that the operating state of the distribution network is safe operation; If the actual operating point is not within the safe operating range, it is determined that the operating state of the distribution network is unsafe operation.

6. The method for monitoring the operation of a distribution network according to claim 1, characterized in that: The method further comprises: When the distribution network is determined to be operating safely: Based on the actual operating parameters of the distribution network, the operating change rate of the distribution network is determined using Chebyshev's theorem; Based on the distribution network operation change rate, the distribution network operation safety risk is determined; the operation safety risk includes: high risk and low risk.

7. The method for monitoring the operation of a distribution network according to claim 6, characterized in that: Based on the distribution network operation change rate, determining the distribution network operation safety risk includes: If the distribution network operation rate is greater than or equal to the set rate threshold, the distribution network is determined to be at high risk; If the distribution network operation rate is less than the set rate threshold, it is determined that the distribution network is at low risk.

8. A distribution network operation monitoring device, characterized in that: The device comprises: A parameter acquisition module is used to obtain the design parameters and actual operation parameters of the distribution network; A working range determination module is used to determine the safe working range of the distribution network safety domain based on the design parameters of the distribution network and using a dual space algorithm; A data transformation module is used to perform a dual transformation on the actual operating parameters using a dual space algorithm to obtain the transformed operating parameters; An operating point determination module, used for determining the actual operating point of the distribution network based on the transformed operating parameters; The operating status judgment module is used to determine the operating status of the distribution network based on the actual operating point and the safe operating range; the operating status includes: safe operation and unsafe operation.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the distribution network operation monitoring method described in any one of claims 1-7 is implemented.

10. A readable storage medium having instructions stored thereon, the instructions being used to enable a machine to execute the distribution network operation monitoring method according to any one of claims 1 to 7.

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