Operation and maintenance method and device based on path planning, storage medium, and computer equipment

Abstract

The present invention discloses an operation and maintenance method and device, a storage medium, and a computer device based on path planning, which belong to the field of power transmission and transformation engineering technology and mainly solve the problem of low efficiency of power transmission and transformation operation and maintenance in the prior art. The method comprises: obtaining current measurement data collected from each transformer group in the substation, and determining error state parameters of each transformer group based on the current measurement data; after determining the target transformer group based on the error state parameters, performing multi-objective optimization processing on the target transformer group based on an established objective function to plan a dynamic operation and maintenance path; and performing operation and maintenance operations on the target transformer group via the dynamic operation and maintenance path.

Description

Technical Field

[0001] The present invention relates to the technical field of power transmission and transformation engineering, and in particular to an operation and maintenance method and device based on path planning, a storage medium, and computer equipment. Background Art

[0002] A current transformer (CT) is a special type of converter used in substation operations. It converts the primary current in the power grid into a proportional secondary current, which is then fed into the substation's automatic operation devices or measuring instruments. It serves as a crucial data source for electricity trade settlements, and its measurement accuracy plays a crucial role in ensuring the fairness and impartiality of massive electricity trade. Many current transformer online monitoring applications have emerged in China, primarily using current acquisition devices to collect current measurement data from substations and transmit it to a central station for online monitoring. When a monitored current transformer is assessed to be in an "abnormal" state, maintenance operations must be performed on these abnormally located current transformers.

[0003] The traditional current transformer operation and maintenance model relies on manual experience, i.e., manually assigning tasks and planning routes. However, this model fails to meet the low-carbon, efficient management requirements of power grid companies. Furthermore, it suffers from unscientific path planning, resulting in time-consuming and energy-intensive current transformer operation and maintenance tasks. Furthermore, it is difficult to monitor and adjust the operation progress in real time, reducing the efficiency of current transformer operation and maintenance. Summary of the Invention

[0004] In view of this, the present invention provides an operation and maintenance method and device, a storage medium, and a computer device based on path planning, the main purpose of which is to solve the problem of low operation and maintenance efficiency of current transformers for power transmission and transformation in the prior art.

[0005] According to one aspect of the present invention, there is provided an operation and maintenance method based on path planning, comprising:

[0006] Acquiring current measurement data collected from each transformer group in the substation, and determining an error state parameter of each transformer group based on the current measurement data;

[0007] After the target transformer group is determined based on the error state parameter, a multi-objective optimization process is performed on the target transformer group based on the established objective function to plan a dynamic operation and maintenance path;

[0008] Performing operation and maintenance operations on the target transformer group through the dynamic operation and maintenance path.

[0009] Furthermore, determining a target transformer group based on the error state parameter includes:

[0010] determining a basic error limit of the current transformer group;

[0011] When the error state parameter exceeds the error range of the basic error limit, the mutual inductor group is determined to be in an abnormal evaluation state;

[0012] The transformer group in the abnormal evaluation state is determined as a target transformer group.

[0013] Furthermore, before performing multi-objective optimization processing on the target transformer group based on the established objective function and planning a dynamic operation and maintenance path, the method further includes:

[0014] Establishing a total operation and maintenance cost function based on the location and quantity of the target transformer group, wherein the total operation and maintenance cost function includes an out-of-tolerance cost function determined based on the operation and maintenance travel path, an inspection cost function, and a manpower cost function;

[0015] A function for obtaining the minimum value of the total operation and maintenance cost function is determined as the objective function.

[0016] Furthermore, performing multi-objective optimization processing on the target transformer group based on the established objective function and planning a dynamic operation and maintenance path includes:

[0017] Performing multi-objective optimization processing on the target mutual inductor group using a multi-objective solution algorithm;

[0018] The operation and maintenance path when the objective function reaches a minimum value during the multi-objective optimization process is determined as the target operation and maintenance path.

[0019] Furthermore, before performing multi-objective optimization processing on the target transformer group using a multi-objective solution algorithm, the method further includes:

[0020] An adaptive step size is adopted to replace the fixed step size in the multi-objective solution algorithm, and the adaptive step size is determined by a decreasing exponential function.

[0021] Furthermore, after performing the operation and maintenance operation on the target transformer group through the dynamic operation and maintenance path, the method further includes:

[0022] If the detection result of the operation and maintenance operation is different from the online evaluation status of the target transformer group, the basic error limit of the target transformer group is updated, so as to determine that the target transformer group is in an abnormal evaluation state based on the updated basic error limit.

[0023] According to another aspect of the present invention, an operation and maintenance device based on path planning is provided, comprising:

[0024] a parameter determination module, configured to obtain current measurement data collected from each transformer group in the substation, and determine an error state parameter of each transformer group based on the current measurement data;

[0025] a path planning module configured to, after determining a target transformer group based on the error state parameter, perform multi-objective optimization processing on the target transformer group based on an established objective function to plan a dynamic operation and maintenance path;

[0026] An execution module is configured to perform operation and maintenance operations on the target transformer group through the dynamic operation and maintenance path.

[0027] According to another aspect of the present invention, a storage medium is provided, wherein the storage medium stores at least one executable instruction, and the executable instruction enables a processor to perform operations corresponding to the above-mentioned operation and maintenance method based on path planning.

[0028] According to another aspect of the present invention, there is provided a computer device comprising a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0029] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the above-mentioned operation and maintenance method based on path planning.

[0030] By means of the above technical solution, the technical solution provided by the embodiment of the present invention has at least the following advantages:

[0031] The present invention provides an operation and maintenance method and apparatus, a storage medium, and a computer device based on path planning. Compared with the prior art that uses manual allocation of work tasks and manual planning of operation and maintenance routes for operation and maintenance operations, the present invention obtains current measurement data collected from each transformer group in the substation and determines error state parameters of each transformer group based on the current measurement data. After determining a target transformer group based on the error state parameters, multi-objective optimization processing is performed on the target transformer group based on an established objective function to plan a dynamic operation and maintenance path. Operation and maintenance operations are performed on the target transformer group using the dynamic operation and maintenance path. Based on online monitoring of the transformer groups in each substation, status assessment of each transformer group is achieved, and dynamic operation and maintenance path planning is implemented based on transformer groups with abnormal assessments. This not only saves operation and maintenance energy consumption and operation and maintenance time for the transformer groups, improves operation and maintenance efficiency for the transformer groups, but also increases the flexibility of operation and maintenance operations, meeting the low-carbon and high-efficiency management requirements of power grid enterprises.

[0032] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0034] Figure 1 A schematic diagram of a process flow of an operation and maintenance method based on path planning provided by an embodiment of the present invention is shown;

[0035] Figure 2 A schematic diagram of a process of another operation and maintenance method based on path planning provided by an embodiment of the present invention is shown;

[0036] Figure 3 A schematic diagram of a process flow of another operation and maintenance method based on path planning provided by an embodiment of the present invention is shown;

[0037] Figure 4 A schematic diagram of a process flow of another operation and maintenance method based on path planning provided by an embodiment of the present invention is shown;

[0038] Figure 5 A schematic structural diagram of an operation and maintenance device based on path planning provided by an embodiment of the present invention is shown;

[0039] Figure 6 A schematic structural diagram of a computer device provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0040] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0041] The embodiment of the present invention provides an operation and maintenance method based on path planning, such as Figure 1 As shown, the method includes:

[0042] 101. Obtain current measurement data collected from each transformer group in the substation, and determine an error state parameter of each transformer group based on the current measurement data;

[0043] In an embodiment of the present invention, a substation system consisting of multiple substations includes a field station and a central station. At the field station, each transformer group is equipped with a high-precision, high-frequency, and high-stability current acquisition device to acquire the current of each transformer group in real time, obtaining current measurement data. The central station then acquires the current measurement data collected by each transformer group. Based on the current measurement data of each transformer group, an existing method is used to obtain error state parameters between each transformer group. The error state parameters are calculated based on the current measurement data of multiple transformer groups, such as by using a knowledge-data-driven algorithm to calculate the error state parameters of each transformer group from the current measurement data of multiple transformer groups. This is not specifically limited in this embodiment of the present invention. The error state parameters of the transformer groups are used to evaluate the operating status of each transformer group. For example, based on the error state parameters calculated for transformer group 1, the operating status of transformer group 1 is assessed as normal, while based on the error state parameters calculated for transformer group 2, the operating status of transformer group 2 is assessed as abnormal. This is not specifically limited in this embodiment of the present invention.

[0044] 102. After determining the target transformer group based on the error state parameter, performing multi-objective optimization processing on the target transformer group based on the established objective function to plan a dynamic operation and maintenance path;

[0045] In an embodiment of the present invention, the current execution end evaluates the calculated error state parameters. When the error state parameters exceed the preset normal range, the corresponding transformer group is considered to be in an abnormal state, and the transformer group in the abnormal state is determined as the target transformer group. In addition, when the error state parameters do not exceed the preset normal range, the corresponding transformer group is considered to be in a normal state, and there is no need to perform operation and maintenance operations on the transformer group in the normal state. After the target transformer group is determined, the target transformer group is subjected to multi-objective optimization processing based on the established objective function, so as to plan a dynamic operation and maintenance path. Multi-objective optimization processing is to mathematically model the multi-objective problem and abstract the multi-objective optimization processing process into an optimization processing process of a numerical function. The objective function is a numerical function that abstracts the problem into a single-objective problem in the multi-objective optimization processing process and implicitly contains the decision maker's preference information.

[0046] 103. Perform operation and maintenance operations on the target transformer group through the dynamic operation and maintenance path.

[0047] In an embodiment of the present invention, after receiving the dynamic operation and maintenance path planned by the current execution end, the operation and maintenance personnel drive the inspection vehicle from the operation and maintenance center and perform operation and maintenance operations one by one starting from the first target transformer group to be operated and maintained in the dynamic operation and maintenance path.

[0048] Furthermore, as a refinement and extension of the specific implementation of the above embodiment, in order to more specifically perform operation and maintenance operations on the transformer group with abnormal online monitoring results, another operation and maintenance method based on path planning is provided, such as Figure 2 As shown, the step of determining the target mutual inductor group based on the error state parameter includes:

[0049] 201. Determine a basic error limit of the current transformer group;

[0050] 202. When the error state parameter exceeds the error range of the basic error limit, determining the mutual inductor group as being in an abnormal evaluation state;

[0051] In the embodiment of the present invention, the basic error limit is used to limit the error range of the mutual inductor group. In the initial stage, the basic error limit can be manually determined according to the verification regulations and the like.

[0052] It should be noted that when the basic error limit is used to evaluate the status of the transformer group, it is necessary to combine the error state parameters of the transformer group to evaluate the operating status of each transformer group. When the error state parameter exceeds the error range determined by the basic error limit, the transformer group is determined to be in an abnormal evaluation state. When the error state parameter does not exceed the error range determined by the basic error limit, the transformer group is determined to be in a normal evaluation state. For example, assuming that the basic error limit of the transformer group is BV, the error range determined by the basic error limit BV is [-BV, BV], and the error state parameter of the transformer group is x0, when x0∈[-BV, BV], the operating status of the corresponding transformer group is evaluated as a normal evaluation state. When x0∈(-∞,-BV)∪(BV,+∞), the operating status of the corresponding transformer group is evaluated as an abnormal evaluation state. This embodiment of the present invention does not make specific limitations.

[0053] 203. Determine the transformer group in the abnormal evaluation state as a target transformer group.

[0054] In the embodiment of the present invention, the current execution end determines the transformer group in the abnormal evaluation state as the target transformer group, and when performing dynamic operation and maintenance path planning later, dynamic planning is only performed for the target transformers.

[0055] Furthermore, as a refinement and extension of the specific implementation of the above embodiment, in order to clarify the purpose of multi-objective optimization and save the total cost of operation and maintenance operations, another operation and maintenance method based on path planning is provided, such as Figure 3 As shown, before performing multi-objective optimization processing on the target transformer group based on the established objective function and planning the dynamic operation and maintenance path, the method further includes:

[0056] 301. Establishing a total operation and maintenance cost function based on the location and quantity of the target transformer group;

[0057] In an embodiment of the present invention, the current execution end establishes a total operation and maintenance cost function based on the location and quantity information of the target transformer group, wherein the total operation and maintenance cost function includes an out-of-tolerance cost function determined based on the operation and maintenance travel path, an inspection cost function, and a manpower cost function;

[0058] It should be noted that the out-of-tolerance cost function is used to represent the total out-of-tolerance cost when the operation and maintenance personnel gradually operate and maintain from the operation and maintenance center to each target transformer group. The function is as follows:

[0059] C 超差成本 =C0·ξ1t1+C0·ξ2(t1+t2+T)+C0·ξ3(t1+t2+t3+2T)+…+C0·ξ n [t1+t2+t3+…+t n+(n-1)T]

[0060] Among them, C 超差成本 is the total cost of deviation; C0 is the unit deviation loss cost; ξ1, ξ2, ξ3…ξ n The ratio difference changes of the first current transformer group to be operated and maintained, the second current transformer group to be operated and maintained, the third current transformer group to be operated and maintained, and the ratio difference change is determined by the percentage difference between the error state parameter x0 of the transformer group and the basic error limit BV of the transformer group; t1, t2, t3…t n They are respectively the time from the initial position of the operation and maintenance center to the position of the first current transformer group to be operated and maintained, the time from the position of the first current transformer group to be operated and maintained to the position of the second current transformer group to be operated and maintained, the time from the position of the second current transformer group to be operated and maintained to the position of the third current transformer group to be operated and maintained, and the time from the position of the n-1th current transformer group to be operated and maintained to the position of the nth current transformer group to be operated and maintained; T is the time for each transformer group operation and maintenance operation.

[0061] It should be noted that the inspection cost function is used to represent the total inspection cost when the operation and maintenance personnel gradually operate and maintain from the operation and maintenance center to each target transformer group. The function is as follows:

[0062]

[0063] Among them, C 巡检成本 is the total inspection cost; C0' is the unit inspection cost, generally per kilometer; They are respectively the distance from the initial position of the operation and maintenance center to the position of the first current transformer group to be operated and maintained, the distance from the position of the first current transformer group to be operated and maintained to the position of the second current transformer group to be operated and maintained, and the distance from the position of the n-1th current transformer group to be operated and maintained to the position of the nth current transformer group to be operated and maintained.

[0064] It should be noted that the labor cost function is used to represent the total labor cost of operating and maintaining each target transformer group, and its function is as follows:

[0065]

[0066] Among them, C 人力成本 is the total labor cost; n is the total number of target transformer groups; C”0 is the labor cost of each transformer group.

[0067] It should be noted that the total operation and maintenance cost function can be directly summed based on the above-mentioned deviation cost function, inspection cost function and labor cost function, as shown below:

[0068] C 总成本 =C 超差成本 +C 巡检成本 +C 人力成本

[0069] Among them, C 总成本 is the total operation and maintenance cost.

[0070] In addition, a proportional coefficient, that is, a weight value, may be added before each cost function as needed to reflect the decision preference, which is not specifically limited in the embodiment of the present invention.

[0071] 302. Determine a function for obtaining a minimum value of the total operation and maintenance cost function as the objective function.

[0072] In the embodiment of the present invention, after the total operation and maintenance cost function is determined, the variables t1, t2, ... t n Converted into The variables are as follows:

[0073]

[0074] in, is the distance from the i-1th current transformer group to be maintained to the ith current transformer group to be maintained; λ is a coefficient dynamically adjusted according to road conditions, which is determined by weather conditions, traffic volume, and road smoothness; V0 is the initial data of the inspection vehicle; t i is the time from the position of the i-1th current transformer group to be operated and maintained to the position of the i-th current transformer group to be operated and maintained.

[0075] In the embodiment of the present invention, the coefficient λ dynamically adjusted according to the road conditions can be expressed by the following formula:

[0076] λ=ψ1+ψ2+ψ3

[0077] Among them, ψ1 represents the weather conditions, ψ2 represents the traffic volume, and ψ3 represents the smoothness of the road. Specifically:

[0078] <![CDATA[Weather condition ψ1]]> <![CDATA[Good ω 11 > <![CDATA[medium ω 12 > <![CDATA[Difference ω 13 > <![CDATA[Traffic flow rate ψ2]]> <![CDATA[Small ω 21 > <![CDATA[medium ω 22 > <![CDATA[Large ω 23 > <![CDATA[The flatness of the road ψ3]]> <![CDATA[Very flat ω 31 > <![CDATA[Basic leveling ω 32 > <![CDATA[Uneven ω 33 >

[0079] in,

[0080] ω 11 >ω 12 >ω 13 ,ω 11 +ω 12 +ω 13 =1

[0081] ω 21 >ω 22 >ω 23,ω 21 +ω 22 +ω 23 =1

[0082] ω 31 >ω 32 >ω 33 ,ω 31 +ω 32 +ω 33 =1

[0083] Therefore, λ=ω 1i +ω 2i +ω 3i , i=1,2,3.

[0084] In the embodiment of the present invention, the current execution end determines the function for finding the minimum value of the total operation and maintenance cost function as the objective function, and its function expression is as follows:

[0085] minC 总成本 =f(D)

[0086] Where f(D) represents the function of the distance D of a single decision variable.

[0087] Furthermore, as a refinement and extension of the specific implementation of the above embodiment, in order to improve the efficiency of planning dynamic operation and maintenance paths and reduce the total cost of operation and maintenance operations, another operation and maintenance method based on path planning is provided, such as Figure 4 As shown, the step of performing multi-objective optimization processing on the target transformer group based on the established objective function and planning a dynamic operation and maintenance path includes:

[0088] 401. Perform multi-objective optimization processing on the target transformer group using a multi-objective solution algorithm;

[0089] 402. Determine the operation and maintenance path when the objective function reaches a minimum value during the multi-objective optimization process as a target operation and maintenance path.

[0090] In an embodiment of the present invention, the current execution end uses a multi-objective solution algorithm to perform multi-objective optimization processing on the target mutual inductor group. The multi-objective solution algorithm is divided into two categories: traditional optimization algorithm and intelligent optimization algorithm. Among them, the traditional optimization algorithm includes weighted method, constraint method and linear programming method, etc., which essentially converts the multi-objective function into a single-objective function, and solves the multi-objective function by adopting the single-objective optimization method; the intelligent optimization algorithm includes the Golden Eagle algorithm, evolutionary algorithm, particle swarm algorithm, simulated annealing algorithm, ant colony algorithm, genetic algorithm, etc., which are used to find a global optimal solution or a final decision solution. The current execution end uses the operation and maintenance path when the objective function reaches the minimum value as the global optimal solution or the final decision solution. The obtained operation and maintenance path is the target operation and maintenance path of the operation and maintenance operator, and the operation and maintenance operations are performed one by one on the target mutual inductor group based on the target operation and maintenance path.

[0091] It should be noted that the Golden Eagle algorithm simulates the process of a golden eagle adjusting its speed during the different stages of its spiral trajectory. It exhibits a tendency to patrol and search for prey in the initial stages of the hunt, and a tendency to attack in the final stages. By adjusting these two tendency components to capture the optimal operation and maintenance path within the feasible area in the shortest possible time, the Golden Eagle algorithm improves the efficiency of dynamic operation and maintenance path planning in this embodiment of the present invention, offering significant advantages in multi-objective optimization processes.

[0092] Furthermore, as a refinement and extension of the specific implementation of the above embodiment, in order to enable the multi-objective solution algorithm to find the global optimal solution more quickly and accurately, another operation and maintenance method based on path planning is provided. Before the multi-objective solution algorithm is used to perform multi-objective optimization processing on the target transformer group, the method further includes:

[0093] An adaptive step size is adopted to replace the fixed step size in the multi-objective solution algorithm, and the adaptive step size is determined by a decreasing exponential function.

[0094] In this embodiment of the present invention, the fixed step size in the multi-objective solution algorithm is replaced with an adaptive step size. The adaptive step size optimizes the step size of each iteration of the Golden Eagle algorithm. Using a decreasing exponential function, the adaptive step size is set larger in the early stages of the search, expanding the search range; and smaller in the later stages of the search, improving the local search capability. The optimized multi-objective solution algorithm uses different search step sizes in the early and late stages of the search, enabling the algorithm to find the global optimal solution more quickly and accurately.

[0095] In the embodiment of the present invention, when the multi-objective solving algorithm is the Golden Eagle algorithm, the formula for determining the adaptive step size using a decreasing exponential function is as follows:

[0096]

[0097] Among them, δ τ is the adaptive coefficient; and is a random vector in [0,1]; P a is the attack coefficient, P c is the cruise coefficient; is the attack vector of the i-th golden eagle; is the target point of the i-th golden eagle on the cruising hyperplane, Δx i The step size of the golden eagle's movement.

[0098] It should be noted that in addition to optimizing the search step size in the multi-objective solution algorithm, the initial population can also be optimized before the algorithm iteration. For example, the initial population in the multi-objective solution algorithm can be perturbed using the logistic mapping equation to obtain a chaotic population. The initial population and the chaotic population can be sorted based on the total operation and maintenance cost function, and the initial population in the Golden Eagle optimization algorithm can be replaced with the population with the highest sorting order to achieve optimization of the initial population. This optimization method perturbs the initial population chaotically, improving the population's fitness value.

[0099] Furthermore, as a refinement and extension of the specific implementation of the above embodiment, in order to more accurately obtain the target transformer group that actually requires operation and maintenance operations, another operation and maintenance method based on path planning is provided. After the operation and maintenance operation is performed on the target transformer group through the dynamic operation and maintenance path, the method further includes:

[0100] If the detection result of the operation and maintenance operation is different from the online evaluation status of the target transformer group, the basic error limit of the target transformer group is updated, so as to determine that the target transformer group is in an abnormal evaluation state based on the updated basic error limit.

[0101] In an embodiment of the present invention, after the operation and maintenance personnel perform operation and maintenance operations on the target transformer group, they will provide the actual operating status of the target transformer, that is, the detection result of the operation and maintenance operation. If the detection result of the operation and maintenance operation is different from the online evaluation status of the corresponding transformer group, the basic error limit of the target transformer group will be updated; for example, if the online evaluation status of the transformer group is abnormal, while the detection result of the operation and maintenance operation is normal; or, if the online evaluation status of the transformer group is normal, while the detection result of the operation and maintenance operation is abnormal, the basic error limit of the target transformer group needs to be updated. The embodiment of the present invention does not make specific restrictions. After the basic error limit is updated, the target transformer group is determined to be in an abnormal evaluation state based on the updated basic error limit, thereby realizing the update of the target transformer group.

[0102] Furthermore, as a refinement and extension of the specific implementation of the above embodiment, in order to dynamically and accurately obtain the target transformer group that actually requires operation and maintenance, another operation and maintenance method based on path planning is provided. If the detection result of the operation and maintenance operation is different from the online evaluation status of the target transformer group, the basic error limit of the target transformer group is updated, including:

[0103] When the online evaluation status of the target transformer group is an abnormal evaluation status and the detection result of the operation and maintenance operation is a normal status, the basic error limit of the target transformer group is adjusted so as to determine that the target transformer group is in an abnormal evaluation status based on the adjusted basic error limit.

[0104] In an embodiment of the present invention, the online evaluation status of the transformer group is abnormal, while the detection result of the operation and maintenance operation is normal, indicating that the basic error limit set during the online evaluation is too small, so that the error range determined based on the basic error limit is too small. When adjusting the basic error limit of the target transformer group, the basic error limit can be increased to increase the error range, thereby avoiding the transformer group whose actual operating status is normal being misjudged as an abnormal evaluation state during online monitoring, thereby realizing the update of the target transformer group.

[0105] An embodiment of the present invention provides an operation and maintenance method based on path planning. Compared with the prior art that uses manual allocation of work tasks and manual planning of operation and maintenance routes for operation and maintenance operations, the present invention obtains current measurement data collected from each transformer group in the substation and determines error state parameters of each transformer group based on the current measurement data. After determining the target transformer group based on the error state parameters, multi-objective optimization processing is performed on the target transformer group based on an established objective function to plan a dynamic operation and maintenance path. Operation and maintenance operations are performed on the target transformer group using the dynamic operation and maintenance path. Based on the online monitoring of the transformer groups in each substation, status assessment of each transformer group is achieved, and dynamic operation and maintenance path planning is implemented based on the transformer groups with abnormal assessments. This not only saves operation and maintenance energy consumption and operation time for the transformer groups, improves the operation and maintenance efficiency of the transformer groups, but also increases the flexibility of operation and maintenance operations, meeting the low-carbon and efficient management requirements of power grid enterprises.

[0106] As the above Figure 1 The embodiment of the present invention provides an operation and maintenance device based on path planning, such as Figure 5 As shown, the device includes:

[0107] a parameter determination module 51 for acquiring current measurement data collected from each transformer group in the substation, and determining an error state parameter of each transformer group based on the current measurement data;

[0108] A path planning module 52 is configured to, after determining a target transformer group based on the error state parameters, perform multi-objective optimization processing on the target transformer group based on an established objective function to plan a dynamic operation and maintenance path;

[0109] The execution module 53 is configured to perform operation and maintenance operations on the target transformer group through the dynamic operation and maintenance path.

[0110] Furthermore, the device further comprises:

[0111] an error determination module, configured to determine a basic error limit of the mutual inductor group;

[0112] a state determination module, configured to determine the mutual inductor group as being in an abnormal evaluation state when the error state parameter exceeds an error range of the basic error limit;

[0113] The target determination module determines the transformer group in the abnormal evaluation state as a target transformer group.

[0114] Furthermore, the device also includes an objective function determination module:

[0115] for establishing a total operation and maintenance cost function based on the location and quantity of the target transformer group, wherein the total operation and maintenance cost function includes an out-of-tolerance cost function determined based on the operation and maintenance travel path, an inspection cost function, and a manpower cost function;

[0116] A function for obtaining the minimum value of the total operation and maintenance cost function is determined as the objective function.

[0117] Furthermore, the path planning module 52 further includes:

[0118] A solving unit, configured to perform multi-objective optimization processing on the target mutual inductor group using a multi-objective solving algorithm;

[0119] The path determination unit is used to determine the operation and maintenance path when the objective function reaches a minimum value during the multi-objective optimization process as a target operation and maintenance path.

[0120] Furthermore, the path planning module 52 further includes:

[0121] The step size optimization unit is used to replace the fixed step size in the multi-objective solution algorithm with an adaptive step size, where the adaptive step size is determined by a decreasing exponential function.

[0122] Furthermore, the device further comprises:

[0123] An updating module is configured to update the basic error limit of the target transformer group if the detection result of the operation and maintenance operation is different from the online evaluation status of the target transformer group, so as to determine that the target transformer group is in an abnormal evaluation status based on the updated basic error limit.

[0124] Furthermore, the update module further includes:

[0125] An error adjustment unit is configured to adjust a basic error limit of the target transformer group when the online evaluation status of the target transformer group is an abnormal evaluation status and the detection result of the operation and maintenance operation is a normal status, so as to determine that the target transformer group is in an abnormal evaluation status based on the adjusted basic error limit.

[0126] An embodiment of the present invention provides an operation and maintenance device based on path planning. Compared with the prior art that uses manual allocation of work tasks and manual planning of operation and maintenance routes for operation and maintenance operations, the present invention obtains current measurement data collected from each transformer group in the substation and determines error state parameters of each transformer group based on the current measurement data. After determining the target transformer group based on the error state parameters, multi-objective optimization processing is performed on the target transformer group based on an established objective function to plan a dynamic operation and maintenance path. Operation and maintenance operations are performed on the target transformer group using the dynamic operation and maintenance path. Based on the online monitoring of the transformer groups in each substation, status assessment of each transformer group is achieved, and dynamic operation and maintenance path planning is implemented based on the transformer groups with abnormal assessments. This not only saves operation and maintenance energy consumption and operation time of the transformer groups, improves the operation and maintenance efficiency of the transformer groups, but also increases the flexibility of operation and maintenance operations, meeting the low-carbon and efficient management requirements of power grid enterprises.

[0127] According to one embodiment of the present invention, a storage medium is provided, wherein the storage medium stores at least one executable instruction, and the computer executable instruction can execute the operation of the operation and maintenance method based on path planning in any of the above method embodiments.

[0128] Figure 6 A schematic structural diagram of another computer device provided according to an embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the computer device.

[0129] like Figure 6As shown, the computer device may include: a processor (processor) 602 , a communication interface (Communications Interface) 604 , a memory (memory) 606 , and a communication bus 608 .

[0130] The processor 602 , the communication interface 604 , and the memory 606 communicate with each other via a communication bus 608 .

[0131] The communication interface 604 is used to communicate with other devices such as clients or other servers.

[0132] The processor 602 is configured to execute the program 610 , and specifically may execute the relevant steps in the above-mentioned data processing method embodiment.

[0133] Specifically, the program 610 may include program codes, which include computer operation instructions.

[0134] Processor 602 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included in a computer device may be of the same type, such as one or more CPUs, or may be of different types, such as one or more CPUs and one or more ASICs.

[0135] The memory 606 is used to store the program 610. The memory 606 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0136] The program 610 may be specifically configured to enable the processor 602 to perform the following operations:

[0137] Acquiring current measurement data collected from each transformer group in the substation, and determining an error state parameter of each transformer group based on the current measurement data;

[0138] After the target transformer group is determined based on the error state parameter, a multi-objective optimization process is performed on the target transformer group based on the established objective function to plan a dynamic operation and maintenance path;

[0139] Performing operation and maintenance operations on the target transformer group through the dynamic operation and maintenance path.

[0140] Obviously, those skilled in the art will appreciate that the various modules or steps of the present invention described above can be implemented using a general-purpose computing device, centralized on a single computing device, or distributed across a network of multiple computing devices. Alternatively, they can be implemented using program code executable by a computing device, which can then be stored in a storage device and executed by the computing device. In some cases, the steps shown or described can be performed in a different order than that shown, or can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0141] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. An operation and maintenance method based on path planning, characterized in that: include: Acquiring current measurement data collected from each transformer group in the substation, and determining an error state parameter of each transformer group based on the current measurement data; After the target transformer group is determined based on the error state parameter, a multi-objective optimization process is performed on the target transformer group based on the established objective function to plan a dynamic operation and maintenance path; Performing operation and maintenance operations on the target transformer group through the dynamic operation and maintenance path; Before performing multi-objective optimization processing on the target transformer group based on the established objective function and planning a dynamic operation and maintenance path, the method further includes: A total operation and maintenance cost function is established based on the location and number of the target transformer group. The total operation and maintenance cost function includes an out-of-tolerance cost function determined based on the operation and maintenance path, an inspection cost function, and a labor cost function. The out-of-tolerance cost function is as follows: C 超差成本 =C0·ξ1t1+C0·ξ2(t1+t2+T)+C0·ξ3(t1+t2+t3+2T)+…+C0·ξ n [t1+t2+t3+…+t n +(n-1)T] Among them, C 超差成本 is the total cost of deviation; C0 is the unit deviation loss cost; ξ1, ξ2, ξ3…ξ n are the ratio difference changes of the first current transformer group to be operated and maintained, the second current transformer group to be operated and maintained, the third current transformer group to be operated and maintained, and the nth current transformer group to be operated and maintained; t1, t2, t3…t n The time from the initial position of the operation and maintenance center to the position of the first current transformer group to be operated and maintained, the time from the position of the first current transformer group to be operated and maintained to the position of the second current transformer group to be operated and maintained, the time from the position of the second current transformer group to be operated and maintained to the position of the third current transformer group to be operated and maintained, and finally the time from the position of the n-1th current transformer group to be operated and maintained to the position of the nth current transformer group to be operated and maintained; T is the time for each transformer group operation and maintenance operation; The inspection cost function is as follows: Among them, C 巡检成本 is the total inspection cost; C'0 is the unit inspection cost; The distances are respectively from the initial position of the operation and maintenance center to the position of the first current transformer group to be operated and maintained, the distance from the position of the first current transformer group to be operated and maintained to the position of the second current transformer group to be operated and maintained, and the distance from the position of the n-1th current transformer group to be operated and maintained to the position of the nth current transformer group to be operated and maintained; The labor cost function is as follows: C 人力成本 =nC”0 Among them, C 人力成本 is the total labor cost; n is the total number of target transformer groups; C0” is the labor cost of each transformer group; A function for obtaining the minimum value of the total operation and maintenance cost function is determined as the objective function.

2. The method according to claim 1, characterized in that The determining a target mutual inductor group based on the error state parameter comprises: determining a basic error limit of the mutual inductor group; When the error state parameter exceeds the error range of the basic error limit, the mutual inductor group is determined to be in an abnormal evaluation state; The transformer group in the abnormal evaluation state is determined as a target transformer group.

3. The method according to claim 1, characterized in that The performing multi-objective optimization processing on the target transformer group based on the established objective function to plan a dynamic operation and maintenance path includes: Performing multi-objective optimization processing on the target mutual inductor group using a multi-objective solution algorithm; The operation and maintenance path when the objective function reaches a minimum value during the multi-objective optimization process is determined as the target operation and maintenance path.

4. The method according to claim 3, characterized in that Before performing multi-objective optimization processing on the target transformer group using a multi-objective solution algorithm, the method further includes: An adaptive step size is adopted to replace the fixed step size in the multi-objective solution algorithm, and the adaptive step size is determined by a decreasing exponential function.

5. The method according to claim 2, characterized in that After performing the operation and maintenance operation on the target transformer group through the dynamic operation and maintenance path, the method further includes: If the detection result of the operation and maintenance operation is different from the online evaluation status of the target transformer group, the basic error limit of the target transformer group is updated, so as to determine that the target transformer group is in an abnormal evaluation state based on the updated basic error limit.

6. The method according to claim 5, characterized in that If the detection result of the operation and maintenance operation is different from the online evaluation state of the target transformer group, updating the basic error limit of the target transformer group includes: When the online evaluation status of the target transformer group is an abnormal evaluation status and the detection result of the operation and maintenance operation is a normal status, the basic error limit of the target transformer group is adjusted so as to determine that the target transformer group is in an abnormal evaluation status based on the adjusted basic error limit.

7. An operation and maintenance device based on path planning, characterized in that: include: a parameter determination module, configured to obtain current measurement data collected from each transformer group in the substation, and determine an error state parameter of each transformer group based on the current measurement data; a path planning module configured to, after determining a target transformer group based on the error state parameter, perform multi-objective optimization processing on the target transformer group based on an established objective function to plan a dynamic operation and maintenance path; an execution module, configured to perform operation and maintenance operations on the target transformer group through the dynamic operation and maintenance path; The device further includes an objective function determination module, configured to: A total operation and maintenance cost function is established based on the location and number of the target transformer group. The total operation and maintenance cost function includes an out-of-tolerance cost function determined based on the operation and maintenance path, an inspection cost function, and a labor cost function. The out-of-tolerance cost function is as follows: C 超差成本 =C0·ξ1t1+C0·ξ2(t1+t2+T)+C0·ξ3(t1+t2+t3+2T)+…+C0·ξ n [t1+t2+t3+…+t n +(n-1)T] Among them, C 超差成本 is the total cost of deviation; C0 is the unit deviation loss cost; ξ1, ξ2, ξ3…ξ n are the ratio difference changes of the first current transformer group to be operated and maintained, the second current transformer group to be operated and maintained, the third current transformer group to be operated and maintained, and the nth current transformer group to be operated and maintained; t1, t2, t3…t n The time from the initial position of the operation and maintenance center to the position of the first current transformer group to be operated and maintained, the time from the position of the first current transformer group to be operated and maintained to the position of the second current transformer group to be operated and maintained, the time from the position of the second current transformer group to be operated and maintained to the position of the third current transformer group to be operated and maintained, and finally the time from the position of the n-1th current transformer group to be operated and maintained to the position of the nth current transformer group to be operated and maintained; T is the time for each transformer group operation and maintenance operation; The inspection cost function is as follows: Among them, C 巡检成本 is the total inspection cost; C0' is the unit inspection cost; The distances are respectively from the initial position of the operation and maintenance center to the position of the first current transformer group to be operated and maintained, the distance from the position of the first current transformer group to be operated and maintained to the position of the second current transformer group to be operated and maintained, and the distance from the position of the n-1th current transformer group to be operated and maintained to the position of the nth current transformer group to be operated and maintained; The labor cost function is as follows: C 人力成本 =nC”0 Among them, C 人力成本 is the total labor cost; n is the total number of target transformer groups; C0” is the labor cost of each transformer group; A function for obtaining the minimum value of the total operation and maintenance cost function is determined as the objective function.

8. A storage medium storing at least one executable instruction, wherein the executable instruction executes an operation corresponding to the operation and maintenance method based on path planning according to any one of claims 1 to 6.

9. A computer device comprising a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the operation and maintenance method based on path planning as described in any one of claims 1 to 6.

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