CN116822740A - Power distribution network operation and maintenance scheme determining method and device, electronic equipment and storage medium - Google Patents
Power distribution network operation and maintenance scheme determining method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device, electronic equipment and a storage medium for determining an operation and maintenance scheme of a power distribution network, wherein the method comprises the following steps: acquiring target operation data corresponding to a target evaluation object from the operation data of the power distribution network; determining an operation and maintenance item to be optimized corresponding to the target evaluation object based on the target operation data; and determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance project to be optimized, the target operation data and a decision database. Based on the technical scheme, the operation and maintenance project to be optimized corresponding to the evaluation object is determined based on the operation data of the power distribution network, the operation and maintenance optimization scheme corresponding to the project is determined, and the operation and maintenance level of the power grid is improved based on the optimization scheme, so that the effect of improving the operation and maintenance level of the power grid is achieved.
Description
Technical Field
The present invention relates to the field of power operation and maintenance technologies, and in particular, to a method and apparatus for determining an operation and maintenance scheme of a power distribution network, an electronic device, and a storage medium.
Background
In order to ensure the normal operation of the power distribution network and each power device, a corresponding operation and maintenance scheme is formulated for each power device in the process of device operation, and the power device is maintained based on the operation and maintenance scheme, so that the stable operation of the power device and the power distribution network is ensured.
However, the operation and maintenance schemes of the traditional power equipment and the power distribution network are manually determined based on the data collected by the staff in real time, so that the operation and maintenance schemes cannot be timely adjusted, the stable operation of the power distribution network and the power equipment cannot be guaranteed, and faults of the power equipment are frequently generated.
Disclosure of Invention
The invention provides a method, a device, electronic equipment and a storage medium for determining an operation and maintenance scheme of a power distribution network, which are used for determining a corresponding evaluation object based on power grid operation data and determining an operation and maintenance optimization scheme corresponding to the evaluation object, so that the problem that the operation and maintenance scheme is not updated timely in the existing power grid operation and maintenance method is solved, and the operation and maintenance level of the power grid is improved.
According to an aspect of the present invention, there is provided a method for determining an operation and maintenance scheme of a power distribution network, the method comprising:
acquiring target operation data corresponding to a target evaluation object from the operation data of the power distribution network;
determining an operation and maintenance item to be optimized corresponding to the target evaluation object based on the target operation data;
and determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance project to be optimized, the target operation data and a decision database.
According to another aspect of the present invention, there is provided an operation and maintenance scheme determining apparatus for a power distribution network, the apparatus including:
the data acquisition module is used for acquiring target operation data corresponding to the target evaluation object from the operation data of the power distribution network;
the optimization project determining module is used for determining an operation and maintenance project to be optimized corresponding to the target evaluation object based on the target operation data;
and the optimization scheme determining module is used for determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance project to be optimized, the target operation data and the decision database.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of determining an operation and maintenance scheme of a power distribution network according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the method for determining an operation and maintenance scheme of a power distribution network according to any embodiment of the present invention when executed.
According to the technical scheme, the target operation data corresponding to the target evaluation object is obtained from the power distribution network operation data, the operation and maintenance item to be optimized corresponding to the target evaluation object is determined based on the target operation data, and finally the operation and maintenance optimization scheme corresponding to the target evaluation object is determined based on the operation and maintenance item to be optimized, the target operation data and the decision database. Based on the technical scheme, the operation and maintenance project to be optimized corresponding to the evaluation object is determined based on the operation data of the power distribution network, the operation and maintenance optimization scheme corresponding to the project is determined, and the operation and maintenance level of the power grid is improved based on the optimization scheme, so that the effect of improving the operation and maintenance level of the power grid is achieved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for determining an operation and maintenance scheme of a power distribution network according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for determining an operation and maintenance scheme of a power distribution network according to an embodiment of the present invention;
fig. 3 is a block diagram of a power distribution network operation and maintenance scheme determining device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flow chart of a method for determining an operation and maintenance scheme of a power distribution network according to an embodiment of the present invention, where the method may be implemented by a power distribution network operation and maintenance scheme determining device, and the power distribution network operation and maintenance scheme determining device may be implemented in hardware and/or software, and the power distribution network operation and maintenance scheme determining device may be configured in an electronic device.
As shown in fig. 1, the method includes:
s110, acquiring target operation data corresponding to the target evaluation object from the power distribution network operation data.
The operation data of the power distribution network can be data acquired by each sensor arranged in the power distribution network in the operation process of the power distribution network, for example, can be power data such as voltage data and current data in the operation process of the power distribution network. The target evaluation object can be understood as an object that needs to be evaluated at the operation and maintenance level. The target operational data may be historical data generated during operation that matches the target evaluation object.
Specifically, the target evaluation data corresponding to the target evaluation object may be obtained from the power distribution network operation data according to the target evaluation object, for example, identification information corresponding to the target evaluation object may be obtained, and the target operation data matched with the identification information may be obtained from the power distribution network operation data based on the identification information. The target evaluation object may be a certain power device to be maintained in the power distribution network or a substation. And in the process of using the power distribution network, each operation data in the operation process of the power distribution network can be collected through a preset sensor, and the collected data are stored in a preset database.
On the basis of the technical scheme, before the target operation and maintenance data corresponding to the target evaluation object is acquired based on the operation and maintenance data set, the method further comprises the following steps: determining a plurality of objects to be evaluated, and determining the relative closeness corresponding to each object to be evaluated based on the power distribution network operation data; and determining a target evaluation object from the objects to be evaluated based on the relative closeness.
The object to be evaluated can be an object which is contained in a predetermined distribution line and is required to be subjected to operation and maintenance evaluation. The relative closeness can be understood as the closeness between each object to be evaluated and the standard data. The standard data may be data preset to satisfy an operation and maintenance standard.
Specifically, a plurality of objects to be evaluated are determined, the relative closeness corresponding to each object to be evaluated is determined according to the operation data of the power distribution network, and a target evaluation object is determined from the objects to be evaluated based on the relative closeness, for example, a target line or a target transformer substation to be evaluated can be selected in advance, a plurality of objects to be evaluated are determined based on each device contained in the target line or the target transformer substation, and the relative closeness between each object to be evaluated and the standard data is calculated based on the operation data and the standard data of each object to be evaluated. It should be noted that, the determination of the target evaluation object from the objects to be evaluated based on the relative closeness may be to sort the respective relative closeness from large to small, and then use the three objects to be evaluated whose relative closeness is the inverse of the sorting as the target evaluation object, or may be to use the objects to be evaluated whose relative closeness is smaller than the closeness threshold value as the target evaluation object by setting the closeness threshold value in advance.
S120, determining an operation and maintenance item to be optimized corresponding to the target evaluation object based on the target operation data.
The operation and maintenance items to be optimized may be operation and maintenance items to be optimized, for example, may be inspection periods, maintenance periods, and the like.
Specifically, the operation and maintenance items to be optimized corresponding to the target evaluation objects are determined based on the target operation period, for example, the difference between the data corresponding to the operation and maintenance items of the target evaluation objects and the standard data is determined, and the operation and maintenance items to be optimized are determined based on the difference and are used as the operation and maintenance items to be optimized.
On the basis of the above technical solution, the determining, based on the target operation and maintenance data, an operation and maintenance item to be optimized corresponding to the target evaluation object includes: processing the target operation and maintenance data based on a preset evaluation model, and determining the Euclidean distance corresponding to the target evaluation object; and determining the operation and maintenance project to be optimized based on the Euclidean distance and a preset distance threshold.
The preset evaluation model may be an upgrade network model which is obtained through pre-training and used for calculating evaluation data. The preset evaluation model is established based on an analytic hierarchy process, an entropy weight process, a least square method and a good and bad solution distance process. The euclidean distance can be understood as data for representing a distance relationship between the target evaluation object and the standard data. The preset distance threshold may be preset euclidean distance data.
Specifically, target operation and maintenance data corresponding to a target evaluation object are obtained, the target operation and maintenance data are input into a preset evaluation model, the Euclidean distance between the target evaluation object and standard data is obtained, an operation and maintenance item to be optimized is determined based on the Euclidean distance value and a preset distance threshold value, and the operation and maintenance item to be optimized is used as the operation and maintenance item to be optimized. For example, after processing the target operation and maintenance data based on the preset evaluation model, the euclidean distance between each operation and maintenance item of the target evaluation object and the standard data is obtained, and the operation and maintenance item with the euclidean distance greater than the preset distance threshold is used as the operation and maintenance item to be optimized.
It should be noted that, the deep learning model of the present invention adopts a convolutional neural network. The convolutional neural network comprises an input layer and an implicit layer. The input layer can process multidimensional data, and the input characteristics of the convolutional neural network need to be subjected to Z-score standardization processing when the gradient descent algorithm is used for learning during specific training. The hidden layer comprises common structures of a convolution layer, a pooling layer and a full connection layer 3, and may also have complex structures such as an acceptance module, a residual block (residual block) and the like. In a common architecture, the convolutional layer and the pooling layer are specific to convolutional neural networks. The convolution kernels in the convolution layer contain weight coefficients, while the pooled layer does not contain weight coefficients, and the pooled layer is not considered an independent layer. Taking the LeNet-5 as an example, the order in which class 3 is commonly built into the hidden layer is typically: input-convolution layer-pooling layer-full connection layer-output.
S130, determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance project to be optimized, the target operation data and a decision database.
The decision database may be a preset database for storing decision data.
Specifically, the operation and maintenance optimization scheme corresponding to the target evaluation object is determined from the decision database based on the operation and maintenance item to be optimized and the target operation data, for example, a mapping relationship between the operation data and the operation and maintenance optimization scheme can be established in advance, and matching is performed from the decision database according to the target operation data, so as to determine the optimization scheme corresponding to the target operation data.
On the basis of the technical scheme, the determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance item to be optimized, the target operation and maintenance data and the decision database comprises the following steps: acquiring an evaluation weight corresponding to the operation and maintenance project to be optimized; determining an operation and maintenance evaluation score corresponding to the operation and maintenance item to be optimized based on the evaluation weight and the target operation and maintenance data; and determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance evaluation score and the decision database.
Wherein, the evaluation weight may be preset weight data. The operation and maintenance evaluation score may be score information for evaluating the operation and maintenance level of the target evaluation object.
Specifically, an evaluation weight corresponding to the operation and maintenance item to be optimized is obtained, an operation and maintenance evaluation score corresponding to the operation and maintenance item to be optimized is determined based on the evaluation weight and the target operation and maintenance data, and then an operation and maintenance optimization scheme corresponding to the target evaluation object is determined based on the operation and maintenance evaluation score and a decision database. For example, weight data corresponding to each operation and maintenance item may be determined based on standard data corresponding to the target evaluation object, an operation and maintenance evaluation score corresponding to the target evaluation object may be determined based on the weight data and the target operation and maintenance data, and then an operation and maintenance optimization scheme corresponding to the target evaluation object may be determined based on the operation and maintenance evaluation score and the decision database.
On the basis of the technical scheme, the determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance evaluation score and the decision database comprises the following steps: acquiring an operation and maintenance scheme mapping table corresponding to the target evaluation object from the decision database; and determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance evaluation score and the operation and maintenance scheme mapping table.
The operation and maintenance scheme mapping table is used for storing Chu Yunwei evaluation scores and the mapping relation of the operation and maintenance scheme.
Specifically, an operation and maintenance scheme mapping table corresponding to the target evaluation object is obtained from a decision database, and then an operation and maintenance optimization scheme corresponding to the target evaluation object is determined based on the operation and maintenance evaluation score and the operation and maintenance scheme mapping table.
On the basis of the technical scheme, after the operation and maintenance optimization scheme corresponding to the target evaluation object is determined based on the operation and maintenance item to be optimized, the target operation and maintenance data and the decision database, the method further comprises the following steps: acquiring weather prediction parameters, processing the weather prediction parameters based on a preset fault prediction model, and determining a fault risk prediction result and a weather feature sequencing result; and determining a device inspection period corresponding to a target evaluation object based on the fault risk prediction result and the weather feature sequencing result, and adjusting the operation and maintenance optimization scheme based on the device inspection period.
The weather prediction parameter may be a risk degree of the current weather, for example, weather parameters such as earthquake grade information, wind speed information, rainfall information, and the like. The preset fault prediction model may be a pre-established model for predicting a fault. The failure risk prediction result may be understood as a probability of failure of the power distribution network corresponding to the weather prediction parameter. The weather feature ranking result may be an importance ranking result obtained after ranking the weather features. The device patrol period may be a patrol interval time of the device.
Specifically, after the operation and maintenance optimization scheme is obtained, weather prediction parameters can be obtained, the weather prediction parameters are processed based on a preset fault prediction model, a fault risk prediction result and a weather feature sequencing result are determined, further, a device inspection period corresponding to the target evaluation object is determined based on the fault risk prediction result and the weather feature sequencing result, and the operation and maintenance optimization scheme is adjusted based on the device inspection period. It should be noted that, for the weather feature ranking result, the more risky weather is, the more front the ranking result corresponding to the weather feature ranking result is, that is, the more destructive the current weather corresponds to, for example, the extremely severe weather such as earthquake, hurricane, and snow storm.
On the basis of the above technical solution, the determining the equipment inspection period corresponding to the target evaluation object based on the fault risk prediction result and the weather feature ordering result includes: determining a device management and control coefficient based on the fault risk prediction result and the weather feature ordering result; determining a risk matrix coefficient based on the equipment management and control coefficient and the fault risk prediction result; and determining the equipment patrol period based on the risk matrix coefficient, the weather prediction parameter and a preset patrol period mapping table.
The device control coefficient may be coefficient information indicating a control severity of the current device. The risk matrix coefficient may be understood as coefficient information of the risk matrix. The preset patrol period mapping table may be a preset table for storing a mapping relationship between coefficients and patrol periods.
Specifically, a device management and control coefficient is determined based on a fault risk prediction result and the weather feature sequencing result, a risk matrix coefficient is determined based on the device management and control coefficient and the fault risk prediction result, and finally a device inspection period is determined based on the risk matrix coefficient, weather prediction parameters and a preset inspection period mapping table. After determining the operation and maintenance optimization scheme, when the operation and maintenance personnel use the application program, the operation and maintenance optimization scheme can be sent to the application program of the terminal equipment of the operation and maintenance personnel and displayed on the display interface of the terminal equipment, so that the operation and maintenance personnel can carry out inspection and operation and maintenance of the power grid equipment according to the display content.
According to the technical scheme, the target operation data corresponding to the target evaluation object is obtained from the power distribution network operation data, the operation and maintenance item to be optimized corresponding to the target evaluation object is determined based on the target operation data, and finally the operation and maintenance optimization scheme corresponding to the target evaluation object is determined based on the operation and maintenance item to be optimized, the target operation data and the decision database. Based on the technical scheme, the operation and maintenance project to be optimized corresponding to the evaluation object is determined based on the operation data of the power distribution network, the operation and maintenance optimization scheme corresponding to the project is determined, and the operation and maintenance level of the power grid is improved based on the optimization scheme, so that the effect of improving the operation and maintenance level of the power grid is achieved.
Example two
Fig. 2 is a flowchart of a method for determining an operation and maintenance scheme of a power distribution network according to an embodiment of the present invention, where the method for determining an operation and maintenance scheme of a power distribution network is further optimized on the basis of the embodiment. The specific implementation manner can be seen in the technical scheme of the embodiment. Wherein, the technical terms identical to or corresponding to the above embodiments are not repeated herein.
As shown in fig. 2, the method of the embodiment of the present invention includes:
acquiring operation data of a power distribution network: specifically, data in the running process of the power grid is collected through a sensor arranged in the power distribution network, and the collected data is processed and stored in a corresponding database.
Determining an operation and maintenance item to be optimized: specifically, a lean operation and maintenance level evaluation model of the power distribution network is established based on an analytic hierarchy process, an entropy weight process, a least square method and a good and bad solution distance process, and objects to be evaluated corresponding to operation data of the power distribution network are determined, wherein the objects to be evaluated can be target lines or target substations to be evaluated in advance, a plurality of objects to be evaluated are determined based on all equipment contained in the target lines or the target substations, the relative closeness between each object to be evaluated and standard data is calculated based on the operation data and the standard data of each object to be evaluated, the objects to be evaluated can be three objects to be evaluated which are the reciprocal of the ordering of the relative closeness after the ordering of the relative closeness from large to small are determined based on the relative closeness, and the objects to be evaluated which are smaller than the closeness threshold can be used as the target evaluation objects through presetting the closeness threshold. The method comprises the steps of obtaining the Euclidean distance and the relative closeness of each evaluation object by inputting data of the objects to be evaluated into a model, sorting the relative closeness of each evaluation object in a sequence from big to small, namely sorting the lean operation and maintenance level of the power distribution network from high to low, determining a specific weak index of the evaluation object according to the Euclidean distance of the evaluation object aiming at the evaluation object with low lean operation and maintenance level of the power distribution network, and adjusting an evaluation item corresponding to the weak index to optimize the lean operation and maintenance level of the power distribution network in the area.
And determining an operation and maintenance optimization scheme: specifically, the quantitative evaluation of the operation and maintenance level of the target evaluation object is performed based on the target operation and maintenance data of the target evaluation object, for example, a weight value corresponding to the target evaluation object is obtained, an operation and maintenance evaluation score corresponding to the target operation and maintenance object is determined based on the weight value and the target operation and maintenance data, and then matching is performed from a decision database based on the operation and maintenance evaluation score, so as to determine a corresponding operation and maintenance optimization scheme. After the operation and maintenance optimization scheme is determined, weather prediction parameters can be obtained through a weather bureau, and a distribution network fault risk level prediction result and a weather feature importance ranking result are obtained by combining a distribution network fault risk prediction model. Determining corresponding control coefficients according to the weather feature importance ranking result and the distribution network fault risk level prediction result; determining a weather risk matrix coefficient according to the distribution network fault risk level prediction result and the management and control coefficient; and determining special differentiated inspection period of the distribution network equipment according to the weather risk matrix coefficient and the bad weather category, and perfecting the operation and maintenance optimization scheme based on the inspection period.
According to the technical scheme, the target operation data corresponding to the target evaluation object is obtained from the power distribution network operation data, the operation and maintenance item to be optimized corresponding to the target evaluation object is determined based on the target operation data, and finally the operation and maintenance optimization scheme corresponding to the target evaluation object is determined based on the operation and maintenance item to be optimized, the target operation data and the decision database. Based on the technical scheme, the operation and maintenance project to be optimized corresponding to the evaluation object is determined based on the operation data of the power distribution network, the operation and maintenance optimization scheme corresponding to the project is determined, and the operation and maintenance level of the power grid is improved based on the optimization scheme, so that the effect of improving the operation and maintenance level of the power grid is achieved.
Example III
Fig. 3 is a block diagram of a power distribution network operation and maintenance scheme determining device according to an embodiment of the present invention. As shown in fig. 3, the apparatus includes: a data acquisition module 310, an optimization project determination module 320, and an optimization scheme determination module 330.
A data acquisition module 310, configured to acquire target operation data corresponding to a target evaluation object from the operation data of the power distribution network;
an optimization item determining module 320, configured to determine an operation and maintenance item to be optimized corresponding to the target evaluation object based on the target operation data;
the optimization scheme determining module 330 is configured to determine an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance item to be optimized, the target operation data and a decision database.
On the basis of the technical scheme, the device comprises: the target evaluation object determining module is used for determining a plurality of objects to be evaluated before the target operation and maintenance data set corresponding to the target evaluation object is acquired, and determining the relative closeness corresponding to each object to be evaluated based on the power distribution network operation data; and determining a target evaluation object from the objects to be evaluated based on the relative closeness.
On the basis of the technical scheme, the optimization project determining module is used for processing the target operation and maintenance data based on a preset evaluation model and determining the Euclidean distance corresponding to the target evaluation object, wherein the preset evaluation model is established based on an analytic hierarchy process, an entropy weight process, a least square method and a good and bad solution distance process; and determining the operation and maintenance project to be optimized based on the Euclidean distance and a preset distance threshold.
On the basis of the technical scheme, the optimization scheme determining module is used for acquiring the evaluation weight corresponding to the operation item to be optimized; determining an operation and maintenance evaluation score corresponding to the operation and maintenance item to be optimized based on the evaluation weight and the target operation and maintenance data; and determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance evaluation score and the decision database.
On the basis of the technical scheme, the optimization scheme determining module is used for acquiring an operation and maintenance scheme mapping table corresponding to the target evaluation object from the decision database; the operation and maintenance scheme mapping table is used for storing Chu Yunwei evaluation scores and the mapping relation of the operation and maintenance scheme; and determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance evaluation score and the operation and maintenance scheme mapping table.
On the basis of the technical scheme, the device further comprises: the weather risk prediction module is used for acquiring weather prediction parameters after the operation and maintenance optimization scheme corresponding to the target evaluation object is determined based on the operation and maintenance project to be optimized, the target operation and maintenance data and the decision database, processing the weather prediction parameters based on a preset fault prediction model, and determining a fault risk prediction result and a weather feature sequencing result; and determining a device inspection period corresponding to a target evaluation object based on the fault risk prediction result and the weather feature sequencing result, and adjusting the operation and maintenance optimization scheme based on the device inspection period.
On the basis of the technical scheme, the weather risk prediction module is further used for determining equipment management and control coefficients based on the fault risk prediction result and the weather feature sequencing result; determining a risk matrix coefficient based on the equipment management and control coefficient and the fault risk prediction result; and determining the equipment patrol period based on the risk matrix coefficient, the weather prediction parameter and a preset patrol period mapping table.
According to the technical scheme, the target operation data corresponding to the target evaluation object is obtained from the power distribution network operation data, the operation and maintenance item to be optimized corresponding to the target evaluation object is determined based on the target operation data, and finally the operation and maintenance optimization scheme corresponding to the target evaluation object is determined based on the operation and maintenance item to be optimized, the target operation data and the decision database. Based on the technical scheme, the operation and maintenance project to be optimized corresponding to the evaluation object is determined based on the operation data of the power distribution network, the operation and maintenance optimization scheme corresponding to the project is determined, and the operation and maintenance level of the power grid is improved based on the optimization scheme, so that the effect of improving the operation and maintenance level of the power grid is achieved.
The power distribution network operation and maintenance scheme determining device provided by the embodiment of the invention can execute the power distribution network operation and maintenance scheme determining method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
Example IV
Fig. 4 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the distribution network operation and maintenance scheme determination method.
In some embodiments, the power distribution network operation and maintenance scheme determination method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the power distribution network operation and maintenance scheme determination method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the power distribution network operation and maintenance scheme determination method in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. The utility model provides a distribution network operation and maintenance scheme determining method which is characterized by comprising the following steps:
acquiring target operation data corresponding to a target evaluation object from the operation data of the power distribution network;
determining an operation and maintenance item to be optimized corresponding to the target evaluation object based on the target operation data;
and determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance project to be optimized, the target operation data and a decision database.
2. The method of claim 1, further comprising, prior to the acquiring the target dimension data corresponding to the target evaluation object based on the dimension data set:
determining a plurality of objects to be evaluated, and determining the relative closeness corresponding to each object to be evaluated based on the power distribution network operation data;
and determining a target evaluation object from the objects to be evaluated based on the relative closeness.
3. The method of claim 1, wherein the determining an operation and maintenance item to be optimized corresponding to the target evaluation object based on the target operation and maintenance data comprises:
processing the target operation and maintenance data based on a preset evaluation model, and determining Euclidean distance corresponding to the target evaluation object, wherein the preset evaluation model is established based on an analytic hierarchy process, an entropy weight process, a least square method and a superior and inferior solution distance process;
and determining the operation and maintenance project to be optimized based on the Euclidean distance and a preset distance threshold.
4. The method of claim 1, wherein the determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance item to be optimized, the target operation and maintenance data, and a decision database comprises:
acquiring an evaluation weight corresponding to the operation item to be optimized;
determining an operation and maintenance evaluation score corresponding to the operation and maintenance item to be optimized based on the evaluation weight and the target operation and maintenance data;
and determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance evaluation score and the decision database.
5. The method of claim 4, wherein the determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance evaluation score and the decision database comprises:
acquiring an operation and maintenance scheme mapping table corresponding to the target evaluation object from the decision database; the operation and maintenance scheme mapping table is used for storing Chu Yunwei evaluation scores and the mapping relation of the operation and maintenance scheme;
and determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance evaluation score and the operation and maintenance scheme mapping table.
6. The method according to claim 1, further comprising, after said determining an operation and maintenance optimization scheme corresponding to said target evaluation object based on said operation and maintenance item to be optimized, said target operation and maintenance data, and a decision database:
acquiring weather prediction parameters, processing the weather prediction parameters based on a preset fault prediction model, and determining a fault risk prediction result and a weather feature sequencing result;
and determining a device inspection period corresponding to a target evaluation object based on the fault risk prediction result and the weather feature sequencing result, and adjusting the operation and maintenance optimization scheme based on the device inspection period.
7. The method of claim 6, wherein the determining a device patrol period corresponding to a target evaluation object based on the fault risk prediction result and the weather feature ordering result comprises:
determining a device management and control coefficient based on the fault risk prediction result and the weather feature ordering result;
determining a risk matrix coefficient based on the equipment management and control coefficient and the fault risk prediction result;
and determining the equipment patrol period based on the risk matrix coefficient, the weather prediction parameter and a preset patrol period mapping table.
8. An operation and maintenance scheme determining device for a power distribution network, which is characterized by comprising:
the data acquisition module is used for acquiring target operation data corresponding to the target evaluation object from the operation data of the power distribution network;
the optimization project determining module is used for determining an operation and maintenance project to be optimized corresponding to the target evaluation object based on the target operation data;
and the optimization scheme determining module is used for determining an operation and maintenance optimization scheme corresponding to the target evaluation object based on the operation and maintenance project to be optimized, the target operation data and the decision database.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the power distribution network operation and maintenance scheme determination method of any one of claims 1-7.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to implement the power distribution network operation and maintenance scheme determination method according to any one of claims 1 to 7 when executed.
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| CN202310801440.6A CN116822740A (en) | 2023-07-03 | 2023-07-03 | Power distribution network operation and maintenance scheme determining method and device, electronic equipment and storage medium |
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