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CN-121981560-A - Power transmission line mountain fire protection decision method based on bidirectional coupling digital twin

CN121981560ACN 121981560 ACN121981560 ACN 121981560ACN-121981560-A

Abstract

The application provides a power transmission line mountain fire protection decision method based on bidirectional coupling digital twin, which relates to the technical field of power transmission line mountain fire protection, and comprises the steps of constructing a power transmission line digital twin model; the method comprises the steps of constructing a mountain fire evolution digital twin model, coupling the mountain fire evolution digital twin model with a transmission line digital twin model, inserting mountain fire initial state constraint conditions and protection action combinations into a line-mountain fire coupling model respectively, executing multi-scene parallel fitting to construct a line risk evolution result, executing multi-objective optimization analysis of the protection actions by utilizing the line risk evolution result, line operation influence indexes and protection resource constraint conditions, and establishing a protection decision scheme. According to the application, the technical problems that the mountain fire risk situation perception fragmentation is caused by the space-time dead zone and false alarm existing in the single-source monitoring data in the prior art, and the accuracy of the protection decision of the power transmission line is further influenced are solved, and the accuracy of the protection decision of the power transmission line is improved by combining digital twinning.

Inventors

  • WANG XINGQIAN
  • ZHANG QIANG
  • NIU JUN
  • ZHANG GUANGXIN
  • WANG DEZHI
  • WANG MINZHEN
  • Qi Lanyu
  • WANG JIARUN
  • RONG HUA
  • WANG JIBIN
  • Sui Yushan
  • XU CI

Assignees

  • 长春晟德科技有限公司
  • 国网辽宁省电力有限公司丹东供电公司

Dates

Publication Date
20260505
Application Date
20260408

Claims (9)

  1. 1. The power transmission line mountain fire protection decision method based on bidirectional coupling digital twinning is characterized by comprising the following steps of: In an operation area of the power transmission line, a digital twin model of the power transmission line, which characterizes the physical structure, the electrical characteristics and the channel conditions of the power transmission line, is constructed based on the line structure parameters, the operation condition parameters and the line channel environment parameters; after synchronously acquiring mountain fire environmental elements, constructing a mountain fire evolution digital twin model based on acquisition results, wherein the mountain fire evolution digital twin model is used for representing a mountain fire energy propagation direction, propagation speed and a fire front evolution state; coupling the mountain fire evolution digital twin model with a power transmission line digital twin model to construct a line-mountain fire coupling model; Under the condition that the mountain fire initial state constraint condition is determined, respectively inserting the mountain fire initial state constraint condition and the protection action combination into a line-mountain fire coupling model, executing multi-scene parallel fitting, and constructing a line risk evolution result corresponding to each protection action; And performing multi-objective optimization analysis of the protection action by using the line risk evolution result, the line operation influence index and the protection resource constraint condition, and establishing a protection decision scheme.
  2. 2. The bi-directional coupling digital twin-based power transmission line forest fire protection decision method according to claim 1, wherein the forest fire initial state constraint condition and protection action combination are respectively inserted into a line-forest fire coupling model, and the multi-scene parallel fitting is performed, including: Taking the mountain fire initial state constraint condition as a first input of a line-mountain fire coupling model, calling a mountain fire evolution digital layer in the line-mountain fire coupling model to execute fire propagation evolution calculation, and generating a mountain fire energy action state set which changes along with time, wherein the mountain fire energy action state set comprises a mountain fire front position, unit space heat radiation intensity and smoke plume influence intensity; Configuring a coupling variable layer based on the mountain fire energy action state set, wherein the coupling variable layer comprises a line channel space constraint variable constructed based on a fire front position, an additional heating disturbance item based on a thermal radiation intensity mapping, and an insulation safety margin attenuation factor based on a smoke plume influence intensity mapping; Taking the coupling variable layer as a second input, injecting the coupling variable layer into a power transmission line digital layer in a line-mountain fire coupling model, performing analysis of wire heat balance, wire sag state and insulation safety margin, and outputting a line running state influenced by mountain fire energy; analyzing the protection action combination into an operation parameter adjustment quantity and a channel environment intervention parameter, and under the constraint of a unified time evolution step length, executing coupling evolution calculation based on a line operation state by calling the mountain fire evolution digital layer and the transmission line digital layer to construct a line risk evolution result corresponding to each protection action.
  3. 3. The bi-directional coupled digital twin based transmission line mountain fire protection decision method of claim 2, wherein performing the coupled evolution calculation based on the line operating state comprises: In each evolution step, reversely updating the coupling variable in the coupling variable layer according to the line running state output by the transmission line digital layer, so that the line running state participates in the subsequent propagation evolution calculation of the mountain fire evolution digital layer, wherein the reversely updating comprises the following steps: based on the wire temperature rise level and the sag change result in the line running state, correcting local air disturbance parameters or environment parameters in the mountain fire evolution digital layer, and adjusting the fire propagation speed or propagation direction in the subsequent time step; in the mountain fire evolution digital layer after reverse updating, after the mountain fire energy action state set is recalculated and constructed, the mountain fire energy action state set is mapped to the coupling variable layer again; And performing coupling evolution calculation according to the bidirectional coupling feedback evolution between the line running state and the mountain fire evolution state.
  4. 4. The bi-directional coupling digital twin-based power transmission line mountain fire protection decision method according to claim 1, wherein the multi-objective optimization analysis of the protection action is performed by using the line risk evolution result, the line operation influence index and the protection resource constraint condition, and the construction of the protection decision scheme comprises: extracting a risk evolution feature vector representing a risk peak value, a risk duration and a risk change rate based on a line risk evolution result corresponding to each protection action combination; constructing a line operation influence index set according to the line operation state output by the digital layer of the power transmission line, wherein the line operation influence index set comprises line load adjustment amplitude, power supply capacity variation and operation state fluctuation degree; Analyzing the protection resource constraint condition into a resource availability parameter and an action execution cost parameter, and introducing an analysis result as a constraint item into a feasible solution space of the protection action combination; And executing multi-objective optimization analysis in a feasible solution space based on the risk evolution feature vector and the line operation influence index set, and establishing a protection decision scheme.
  5. 5. The bi-directional coupling digital twin-based power transmission line mountain fire protection decision method of claim 4, wherein the multi-objective optimization analysis is executed in a feasible solution space based on the risk evolution feature vector and the line operation influence index set, and the protection decision scheme is established, comprising: Mapping the risk evolution feature vectors corresponding to the protection action combinations into a multidimensional risk index matrix, and mapping the line operation influence index set into a line operation constraint matrix; Combining the multidimensional risk index matrix and the line operation constraint matrix to construct a comprehensive multi-objective evaluation matrix; In the iterative process, according to the multi-objective evaluation matrix and the protection resource constraint condition, performing weight modulation on the protection action combination which does not meet the resource availability, response timeliness and line operation constraint so as to perform dynamic contraction processing of a feasible solution space; And in the dynamic contraction iterative process of the feasible solution space, screening analysis is executed, and a protection decision scheme is established.
  6. 6. The bi-directional coupling digital twin-based power transmission line forest fire protection decision method according to claim 1, wherein the forest fire environmental elements comprise wind speed, wind direction, terrain gradient, vegetation distribution and vegetation water content parameters.
  7. 7. The bi-directional coupling digital twin-based transmission line forest fire protection decision method according to claim 1, wherein establishing a protection decision scheme further comprises: Establishing a synchronous early warning signal according to the protection decision scheme; And when the protection decision scheme is issued to an execution node, executing mountain fire early warning report management synchronously based on the early warning signal.
  8. 8. The mountain fire protection decision method of the power transmission line based on the bidirectional coupling digital twin according to claim 7, wherein in the execution process of the protection decision scheme, a feedback monitoring unit is configured to read a real feedback signal of the power transmission line, a deviation analysis of scheme execution is performed based on the real feedback signal and the protection decision scheme, a deviation feedback factor is established, and dynamic scheme correction management of the protection decision scheme is performed based on the deviation feedback factor.
  9. 9. The transmission line mountain fire protection decision method based on bidirectional coupling digital twinning as set forth in claim 1, wherein constructing a mountain fire evolution digital twinning model based on the acquisition result includes: Executing outlier filtering processing and data difference processing of the acquisition result, and establishing a trust identification of data according to the processing result; and constructing a mountain fire evolution digital twin model based on the supervision training by using the processed acquisition result with the trust mark.

Description

Power transmission line mountain fire protection decision method based on bidirectional coupling digital twin Technical Field The application relates to the technical field of forest fire protection of power transmission lines, in particular to a forest fire protection decision method of a power transmission line based on bidirectional coupling digital twin. Background At present, the existing mountain fire risk assessment method mostly depends on single data sources, such as meteorological data, satellite images, ground sensors and the like, and space-time dead zones exist in the single source data, and particularly in remote or difficult-to-monitor areas, comprehensive real-time data cannot be provided, so that the perception of mountain fire is incomplete. In addition, a single monitoring source often has a false alarm problem, namely, the non-mountain fire environment is judged to be high in risk by mistake, and the accuracy of the protection decision is further affected. Because of the limitation of a single data source, the risk situation perception of mountain fires often presents fragmentation, and the real threat of mountain fires is difficult to comprehensively and accurately reflect, so that the traditional power transmission line protection decision method is difficult to deal with complex dynamic fire environments, particularly in the early stage of fire, the decision process often cannot timely make effective protection response due to lag and incomplete risk assessment, and the risk and potential loss of the power transmission line are increased. In summary, in the prior art, because of the space-time dead zone and false alarm of single-source monitoring data, the mountain fire risk situation perceives fragmentation, and the accuracy of the protection decision of the power transmission line is further affected. Disclosure of Invention The application aims to provide a mountain fire protection decision method of a power transmission line based on bidirectional coupling digital twinning, which is used for solving the technical problem that mountain fire risk situation sensing fragmentation is caused by space-time dead zones and false alarms existing in single-source monitoring data in the prior art, and further the accuracy of the protection decision of the power transmission line is affected. The application provides a power transmission line mountain fire protection decision method based on bidirectional coupling digital twinning, which comprises the steps of constructing a power transmission line digital twinning model representing physical structure, electrical characteristics and channel conditions of a power transmission line based on line structure parameters, operation condition parameters and line channel environment parameters in a power transmission line operation area, constructing a mountain fire evolution digital twinning model based on acquisition results after synchronously acquiring mountain fire environment elements, wherein the mountain fire evolution digital twinning model is used for representing mountain fire energy propagation direction, propagation speed and fire front evolution state, coupling the mountain fire evolution digital twinning model with the power transmission line digital twinning model to construct a line-mountain fire coupling model, inserting mountain fire initial state constraint conditions and protection action combinations into the line-mountain fire coupling model respectively under the constraint condition of determining mountain fire initial state, executing multi-scene parallelism, constructing line risk evolution results corresponding to each protection action, and executing a multi-objective optimization analysis scheme of protection resource optimization by utilizing the line risk evolution results, line operation influence indexes and protection constraint condition. Optionally, the forest fire environmental elements include wind speed, wind direction, terrain gradient, vegetation distribution and vegetation water content parameters. Optionally, performing outlier filtering processing and data difference processing of the acquired results, establishing trust identification of data according to the processing results, and constructing a mountain fire evolution digital twin model based on supervision training by utilizing the processed acquired results with the trust identification. The method comprises the steps of selecting a mountain fire initial state constraint condition as a first input of a line-mountain fire coupling model, calling a mountain fire evolution digital layer in the line-mountain fire coupling model to execute fire propagation evolution calculation, generating a mountain fire energy action state set which changes with time, wherein the mountain fire energy action state set comprises a mountain fire front position, unit space heat radiation intensity and smoke plume influence intensity, configuring a coupling variable layer bas