Power distribution network fault processing system with main power distribution cooperation in multi-energy coupling scene

Abstract

The invention belongs to the technical field of power distribution network fault processing, and particularly relates to a power distribution network fault processing system with main power distribution cooperation in a multi-energy coupling scene. Comprising a fault feature collecting and processing module, a logic strategy configuration module, a visualization implementation module, a visualization simulation module, a compiling and downloading module, a power distribution terminal control module and an equipment type selection and management module. And rapid positioning and isolation of faults are realized, the fault processing time is shortened from a minute level to a second level, and the power supply reliability is remarkably improved. The development, operation and maintenance workload is reduced through visual programming and an interactive interface, the project period is shortened, and the labor cost is reduced. And the system adaptability is enhanced, and the system can quickly adapt to complex changes of the power distribution network in a multi-energy coupling scene through a flexible configuration logic strategy and accurate equipment type selection. And high-precision visual simulation verification provides data support for logic strategy optimization, the field debugging risk is reduced, and the system operation stability is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network fault processing, and specifically to a distribution network fault processing system with main power distribution coordination in a multi-energy coupling scenario. Background Art

[0002] A distribution network is a power grid that receives electricity from the transmission grid or regional power plants and distributes it locally or step-by-step according to voltage to various users through distribution facilities. It is composed of overhead lines, cables, towers, distribution transformers, disconnectors, VAR compensators, and other ancillary facilities, and plays a key role in distributing electricity within the power grid.

[0003] Multi-energy coupling scenarios are increasingly becoming a development trend in modern distribution networks. The large-scale access of multiple devices such as distributed power sources (photovoltaic, wind power, energy storage, etc.), electric vehicle charging stations, and heat pumps to the distribution network has transformed the traditional one-way radial distribution network structure into a complex network with multiple sources and bidirectional flows. At the same time, the deep integration of electricity with energy systems such as natural gas and heat has further exacerbated the complexity of the distribution network's operating status. When a fault occurs, the energy interaction between multi-energy coupling systems will cause the fault characteristic signal to exhibit multi-source, time-varying, and nonlinear characteristics. Traditional distribution network fault handling technologies based on steady-state quantities and simple logical judgments can no longer meet the needs of rapid and accurate fault location and isolation. Innovative technical solutions are urgently needed to ensure the safe and stable operation of the distribution network. Summary of the Invention

[0004] The object of the present invention is to provide a distribution network fault handling system with coordinated main and distribution power in a multi-energy coupling scenario to solve the problems raised in the above background technology.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a distribution network fault handling system with coordinated main and distribution power in a multi-energy coupling scenario, comprising:

[0006] Fault feature collection and processing module, logic strategy configuration module, visualization implementation module, visualization simulation module, compilation and download module, power distribution terminal control module, equipment selection and management module;

[0007] Among them, the signal output end of the fault feature acquisition and processing module is connected to the logic strategy configuration module, the signal output end of the logic strategy configuration module is connected to the visualization implementation module, the signal output end of the visualization implementation module is connected to the visualization simulation module, the signal output end of the visualization simulation module is connected to the compilation and download module, the signal output end of the compilation and download module is connected to the power distribution terminal control module, and the signal output end of the power distribution terminal control module is connected to the equipment selection and management module;

[0008] Fault feature acquisition and processing module: responsible for collecting multi-dimensional fault feature signals, and performing preprocessing and feature extraction;

[0009] Logical strategy configuration module: provides a visual interface, allowing users to develop logical strategies through a "building block" approach;

[0010] Visualization implementation module: presents logical strategies in graphical form to achieve visual programming and interaction;

[0011] Visual simulation module: Build a digital twin model and perform full-scenario simulation verification of logic strategies

[0012] Compile and download module: converts the strategy generated by visual logic programming into executable code and downloads it to the distribution terminal;

[0013] Power distribution terminal control module: The power distribution terminal implements fault handling functions based on executable code and uploads operating status information;

[0014] Equipment selection and management module: Establish an evaluation system, select suitable equipment and conduct full life cycle management.

[0015] Preferably, the signals collected by the fault feature acquisition and processing module are transmitted to the logic strategy configuration module as the basis for formulating the logic strategy; the strategy generated by the logic strategy configuration module is graphically displayed and edited in the visualization implementation module; the edited strategy enters the visualization simulation module for simulation verification; the verified strategy is converted into executable code by the compilation and download module and downloaded to the distribution terminal control module; the distribution terminal control module performs fault handling operations and feeds back the operating status to other modules; the equipment selection and management module provides adaptive equipment support for other modules, and optimizes the equipment configuration according to the system operation status.

[0016] Preferably, the workflow of the fault feature acquisition and processing module is: sensor acquisition of raw signals → signal filtering preprocessing → wavelet transform / empirical mode decomposition feature extraction → machine learning algorithm for fault classification and location;

[0017] For wavelet transform, the following formula is used:

[0018]

[0019] Used to extract the time-frequency characteristics of the signal, where f(t) is the original signal, is the wavelet basis function, a is the scale parameter, and b is the translation parameter;

[0020] Empirical Mode Decomposition: The original signal f(t) is decomposed into multiple intrinsic mode functions (IMFs) through a screening process. The specific decomposition method is:

[0021]

[0022] Among them, r n (t) is the residual component.

[0023] Preferably, the processing flow of the logic strategy configuration module is as follows: the user selects the logic function module according to the requirements → connects the module input and output ports through the visual interface → sets the module parameters → generates the logic strategy;

[0024] The logic function module includes an AND gate, an OR gate, and a delay module, and the module parameters include a delay time and a threshold.

[0025] Preferably, the processing flow of the visualization implementation module is: receiving the strategy generated by the logic strategy configuration module → converting the strategy into graphical nodes and connecting lines → providing a visualization editing interface to support users to modify the strategy → feeding back the modified strategy to the logic strategy configuration module.

[0026] Preferably, the processing flow of the visual simulation module is: importing logic strategy → building a digital twin model of a multi-energy coupling system → setting fault scenario parameters → running simulation → analyzing simulation results → outputting an evaluation report;

[0027] The fault scenario parameters include fault type, location, and time, and the simulation results include fault location, isolation time, and recovery status of non-faulty areas;

[0028] The transient analysis equation of the visual simulation module is:

[0029]

[0030] Among them, x is the system state variable, u is the input variable, and f is the state equation function;

[0031] Multi-energy flow calculation equation: P = VIcosθ, Q = VIsinθ, Q h =mc p ΔT.

[0032] Preferably, the compilation and download module processing flow is: receiving the logical strategy of the visualization implementation module → performing lexical analysis, syntax analysis and semantic analysis → generating intermediate code → converting the intermediate code into executable code according to the distribution terminal instruction set → downloading the code to the distribution terminal control module through a secure communication protocol.

[0033] Preferably, the distribution terminal control module processing flow is: receiving the executable code of the compilation and download module → initializing the equipment parameters → collecting the distribution network operation data in real time → performing fault judgment according to the code logic → executing fault isolation and power supply restoration operations in non-fault areas → uploading the equipment operation status and fault handling results.

[0034] Preferably, the equipment selection and management module processing flow is: analyzing the requirements of the multi-energy coupling scenario → determining the equipment selection index → ​​constructing the AHP judgment matrix → calculating the index weight → scoring the candidate equipment → selecting the equipment with the highest comprehensive score → establishing the equipment management file → regularly evaluating the equipment operation status and optimizing the configuration;

[0035] The equipment selection indicators include function, performance, cost,

[0036] Calculation formula for equipment selection and management module selection: Use the hierarchical analysis method to determine the weight of equipment selection indicators and calculate the comprehensive score of the equipment

[0037]

[0038] Among them, w i is the indicator weight, x i is the score of the device in the i-th indicator.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] Improve fault handling efficiency: Rapidly locate and isolate faults, shortening fault handling time from minutes to seconds, significantly improving power supply reliability.

[0041] Reduce operation and maintenance costs: Visual programming and interactive interface reduce development and operation and maintenance workload, shorten project cycles, and reduce labor costs.

[0042] Enhanced system adaptability: Flexible configuration logic strategies and precise equipment selection enable the system to quickly adapt to the complex changes in the distribution network under multi-energy coupling scenarios.

[0043] Improve decision-making accuracy: High-precision visual simulation verification provides data support for logic strategy optimization, reduces on-site debugging risks, and improves system operation stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a system logic block diagram of the present invention;

[0045] Figure 2 Flowchart of the present invention when it works. DETAILED DESCRIPTION

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0047] In the description of the present invention, it should be understood that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside", "outside", etc., indicating directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as limiting the present invention.

[0048] Example 1:

[0049] See also Figure 1-2 The present invention provides a technical solution: a distribution network fault handling system with coordinated main and distribution power in a multi-energy coupling scenario, comprising:

[0050] Fault feature collection and processing module, logic strategy configuration module, visualization implementation module, visualization simulation module, compilation and download module, power distribution terminal control module, equipment selection and management module;

[0051] Among them, the signal output end of the fault feature acquisition and processing module is connected to the logic strategy configuration module, the signal output end of the logic strategy configuration module is connected to the visualization implementation module, the signal output end of the visualization implementation module is connected to the visualization simulation module, the signal output end of the visualization simulation module is connected to the compilation and download module, the signal output end of the compilation and download module is connected to the power distribution terminal control module, and the signal output end of the power distribution terminal control module is connected to the equipment selection and management module;

[0052] Fault feature acquisition and processing module: responsible for collecting multi-dimensional fault feature signals, and performing preprocessing and feature extraction;

[0053] Logical strategy configuration module: provides a visual interface, allowing users to develop logical strategies through a "building block" approach;

[0054] Visualization implementation module: presents logical strategies in graphical form to achieve visual programming and interaction;

[0055] Visual simulation module: Build a digital twin model and perform full-scenario simulation verification of logic strategies

[0056] Compile and download module: converts the strategy generated by visual logic programming into executable code and downloads it to the distribution terminal;

[0057] Power distribution terminal control module: The power distribution terminal implements fault handling functions based on executable code and uploads operating status information;

[0058] Equipment selection and management module: Establish an evaluation system, select suitable equipment and conduct full life cycle management.

[0059] Example 2:

[0060] See also Figure 2 Based on the first embodiment, the present invention provides a technical solution: the signals collected by the fault feature collection and processing module are transmitted to the logic strategy configuration module as the basis for formulating the logic strategy; the strategy generated by the logic strategy configuration module is graphically displayed and edited in the visualization implementation module; the edited strategy enters the visualization simulation module for simulation verification; the verified strategy is converted into executable code by the compilation and download module and downloaded to the distribution terminal control module; the distribution terminal control module executes the fault processing operation and feeds back the operating status to other modules; the equipment selection and management module provides adaptive equipment support for other modules and optimizes the equipment configuration according to the system operation status.

[0061] Example 3:

[0062] See also Figure 2 , the present invention provides a technical solution based on the second embodiment: the workflow of the fault feature acquisition and processing module is: sensor acquisition of raw signals → signal filtering preprocessing → wavelet transform / empirical mode decomposition feature extraction → machine learning algorithm for fault classification and location;

[0063] For wavelet transform, the following formula is used:

[0064]

[0065] Used to extract the time-frequency characteristics of the signal, where f(t) is the original signal, is the wavelet basis function, a is the scale parameter, and b is the translation parameter;

[0066] Empirical Mode Decomposition: The original signal f(t) is decomposed into multiple intrinsic mode functions (IMFs) through a screening process. The specific decomposition method is:

[0067]

[0068] Among them, r n (t) is the residual component.

[0069] The processing flow of the logic strategy configuration module: the user selects the logic function module according to the needs → connects the module input and output ports through the visual interface → sets the module parameters → generates the logic strategy;

[0070] The logic function module includes an AND gate, an OR gate, and a delay module, and the module parameters include a delay time and a threshold.

[0071] The processing flow of the visualization implementation module is as follows: receiving the strategy generated by the logic strategy configuration module → converting the strategy into graphical nodes and connecting lines → providing a visualization editing interface to support users to modify the strategy → feeding back the modified strategy to the logic strategy configuration module.

[0072] The processing flow of the visual simulation module is as follows: import logic strategy → build a digital twin model of a multi-energy coupling system → set fault scenario parameters → run simulation → analyze simulation results → output evaluation report;

[0073] The fault scenario parameters include fault type, location, and time, and the simulation results include fault location, isolation time, and recovery status of non-faulty areas;

[0074] The transient analysis equation of the visual simulation module is:

[0075]

[0076] Among them, x is the system state variable, u is the input variable, and f is the state equation function;

[0077] Multi-energy flow calculation equation: P = VIcosθ, Q = VIsinθ, Q h =mc p ΔT.

[0078] The compilation and download module processing flow is as follows: receiving the logical strategy of the visualization implementation module → performing lexical analysis, syntax analysis and semantic analysis → generating intermediate code → converting the intermediate code into executable code according to the power distribution terminal instruction set → downloading the code to the power distribution terminal control module through a secure communication protocol.

[0079] The distribution terminal control module processing flow: receiving the executable code of the compilation and download module → initializing device parameters → real-time collection of distribution network operation data → fault judgment based on code logic → performing fault isolation and power supply restoration operations in non-fault areas → uploading device operation status and fault handling results.

[0080] The equipment selection and management module processing flow: analyze the requirements of multi-energy coupling scenarios → determine equipment selection indicators → build an AHP judgment matrix → calculate indicator weights → score candidate equipment → select the equipment with the highest comprehensive score → establish equipment management files → regularly evaluate equipment operating status and optimize configuration;

[0081] The equipment selection indicators include function, performance, cost,

[0082] Calculation formula for equipment selection and management module selection: Use the hierarchical analysis method to determine the weight of equipment selection indicators and calculate the comprehensive score of the equipment

[0083]

[0084] Among them, w i is the indicator weight, x i is the score of the device in the i-th indicator.

[0085] Multi-dimensional fault feature collection and intelligent processing: Deploy multiple types of sensors (current, voltage, temperature, gas sensors, etc.) to collect multi-source heterogeneous data, use algorithms such as wavelet transform and empirical mode decomposition to extract fault features, and combine machine learning algorithms to achieve accurate identification of fault type and location.

[0086] Configuration-based logic strategy design: Using configuration technology, distribution network protection and automation logic strategies are decomposed into standardized functional modules. Users can freely combine modules in a "building block" manner through a visual interface to quickly customize logic strategies to adapt to different operating scenarios.

[0087] Visual programming and interaction: A visual programming interface is developed based on configuration technology, which presents logical strategies in a graphical form. Users can complete logic editing and modification through operations such as dragging and dropping, and connecting, thereby lowering the technical threshold.

[0088] High-precision visual simulation verification: Build a digital twin model that includes multi-energy coupled systems, use real-time simulation technology to simulate various fault scenarios, verify the logic strategy in all scenarios, and optimize the strategy in advance.

[0089] Efficient compilation and adaptation technology: Develop specialized visual logic programming and compilation technology to generate executable code that is highly compatible with new power distribution terminals, improving equipment operating efficiency.

[0090] Accurate equipment selection plan: Establish an equipment selection and evaluation system based on the needs of multi-energy coupling scenarios, comprehensively consider factors such as function, performance, reliability and cost, and select the optimal equipment.

[0091] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention; therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is limited by the appended claims rather than the above description. Therefore, it is intended that all changes that fall within the meaning and scope of the equivalent elements of the claims are included in the present invention, and any figure signs in the claims should not be regarded as limiting the claims involved.

[0092] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A distribution network fault handling system with coordinated main and distribution networks in a multi-energy coupling scenario, characterized in that: include: Fault feature collection and processing module, logic strategy configuration module, visualization implementation module, visualization simulation module, compilation and download module, power distribution terminal control module, equipment selection and management module; Among them, the signal output end of the fault feature acquisition and processing module is connected to the logic strategy configuration module, the signal output end of the logic strategy configuration module is connected to the visualization implementation module, the signal output end of the visualization implementation module is connected to the visualization simulation module, the signal output end of the visualization simulation module is connected to the compilation and download module, the signal output end of the compilation and download module is connected to the power distribution terminal control module, and the signal output end of the power distribution terminal control module is connected to the equipment selection and management module; Fault feature acquisition and processing module: responsible for collecting multi-dimensional fault feature signals, and performing preprocessing and feature extraction; Logical strategy configuration module: provides a visual interface, allowing users to develop logical strategies through a "building block" approach; Visualization implementation module: presents logical strategies in graphical form to achieve visual programming and interaction; Visual simulation module: Builds a digital twin model and performs full-scenario simulation verification of the logic strategy. Compile and download module: Converts the strategy generated by visual logic programming into executable code and downloads it to the distribution terminal. Power distribution terminal control module: The power distribution terminal implements fault handling functions based on executable code and uploads operating status information; Equipment selection and management module: Establish an evaluation system, select suitable equipment and conduct full life cycle management.

2. The distribution network fault handling system for main and distribution coordination in a multi-energy coupling scenario according to claim 1 is characterized by: The signals collected by the fault feature collection and processing module are transmitted to the logic strategy configuration module as a basis for formulating logic strategies; The strategies generated by the logical strategy configuration module are graphically displayed and edited in the visualization implementation module. The edited strategies are then entered into the visualization simulation module for simulation verification. The verified strategies are converted into executable code by the compilation and download module and downloaded to the power distribution terminal control module. The power distribution terminal control module performs fault handling operations and feeds back the operating status to other modules; the equipment selection and management module provides adaptive equipment support for other modules and optimizes equipment configuration according to the system operation status.

3. The distribution network fault handling system for main and distribution coordination in a multi-energy coupling scenario according to claim 2 is characterized by: The workflow of the fault feature acquisition and processing module is as follows: sensor acquisition of raw signals → signal filtering preprocessing → wavelet transform / empirical mode decomposition feature extraction → machine learning algorithm for fault classification and location; For wavelet transform, the following formula is used: Used to extract the time-frequency characteristics of the signal, where f(t) is the original signal, is the wavelet basis function, a is the scale parameter, and b is the translation parameter; Empirical Mode Decomposition: The original signal f(t) is decomposed into multiple intrinsic mode functions (IMFs) through a screening process. The specific decomposition method is: Among them, r n (t) is the residual component.

4. The distribution network fault handling system for main and distribution coordination in a multi-energy coupling scenario according to claim 3 is characterized by: The processing flow of the logic strategy configuration module: the user selects the logic function module according to the needs → connects the module input and output ports through the visual interface → sets the module parameters → generates the logic strategy; The logic function module includes an AND gate, an OR gate, and a delay module, and the module parameters include a delay time and a threshold.

5. The distribution network fault handling system for main and distribution coordination in a multi-energy coupling scenario according to claim 4 is characterized in that: The processing flow of the visualization implementation module is as follows: receiving the strategy generated by the logic strategy configuration module → converting the strategy into graphical nodes and connecting lines → providing a visualization editing interface to support users to modify the strategy → feeding back the modified strategy to the logic strategy configuration module.

6. The distribution network fault handling system for main and distribution coordination in a multi-energy coupling scenario according to claim 5 is characterized by: The processing flow of the visual simulation module is as follows: import logic strategy → build a digital twin model of a multi-energy coupling system → set fault scenario parameters → run simulation → analyze simulation results → output evaluation report; The fault scenario parameters include fault type, location, and time, and the simulation results include fault location, isolation time, and recovery status of non-faulty areas; The transient analysis equation of the visual simulation module is: Among them, x is the system state variable, u is the input variable, and f is the state equation function; Multi-energy flow calculation equation: P = VIcosθ, Q = VIsinθ, Q h =mc p ΔT.

7. The distribution network fault handling system for main and distribution coordination in a multi-energy coupling scenario according to claim 6 is characterized by: The compilation and download module processing flow is as follows: receiving the logical strategy of the visualization implementation module → performing lexical analysis, syntax analysis and semantic analysis → generating intermediate code → converting the intermediate code into executable code according to the power distribution terminal instruction set → downloading the code to the power distribution terminal control module through a secure communication protocol.

8. The distribution network fault handling system for main and distribution coordination in a multi-energy coupling scenario according to claim 7 is characterized by: The distribution terminal control module processing flow: receiving the executable code of the compilation and download module → initializing device parameters → real-time collection of distribution network operation data → fault judgment based on code logic → performing fault isolation and power supply restoration operations in non-fault areas → uploading device operation status and fault handling results.

9. The distribution network fault handling system for main and distribution coordination in a multi-energy coupling scenario according to claim 8 is characterized by: The equipment selection and management module processing flow: analyze the requirements of multi-energy coupling scenarios → determine equipment selection indicators → build an AHP judgment matrix → calculate indicator weights → score candidate equipment → select the equipment with the highest comprehensive score → establish equipment management files → regularly evaluate equipment operating status and optimize configuration; The equipment selection indicators include function, performance, cost, Calculation formula for equipment selection and management module selection: Use the hierarchical analysis method to determine the weight of equipment selection indicators and calculate the comprehensive score of the equipment Among them, w i is the indicator weight, x i is the score of the device in the i-th indicator.

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