CN118054569B - Intelligent monitoring control system for operation of power distribution network - Google Patents
Intelligent monitoring control system for operation of power distribution network Download PDFInfo
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- 238000006243 chemical reaction Methods 0.000 claims description 13
- 238000010276 construction Methods 0.000 claims description 11
- 238000003708 edge detection Methods 0.000 claims description 6
- 238000010191 image analysis Methods 0.000 claims description 6
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Engineering & Computer Science (AREA)
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- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to the technical field of intelligent power grids, in particular to an intelligent monitoring control system for operation of a power distribution network, which comprises the following components: the data acquisition module acquires real-time wind direction and real-time wind speed values of the power distribution network running environment in a preset period; the data processing module draws a wind direction distribution diagram according to the real-time wind direction and draws a wind speed change diagram according to the real-time wind speed value; the analysis module determines actual wind receiving parameters of all areas of the power distribution network according to the wind speed change graph, the wind direction distribution graph and the power grid model of the power distribution network, and takes the area corresponding to the actual wind receiving parameters larger than the preset wind receiving force as a prediction influence area; the adjustment module compares the actual wind-resistant parameters with the predicted wind-resistant parameters of the predicted influence area, determines adjustment parameters according to the comparison result, adjusts the actual number of supporting points according to the adjustment parameters, and takes the actual wind-resistant parameters as the predicted wind-resistant parameters of the next period so as to monitor the next period of the operation of the power distribution network. The invention improves the running stability of the power distribution network.
Description
Technical Field
The invention relates to the technical field of intelligent power grids, in particular to an intelligent monitoring control system for operation of a power distribution network.
Background
With the rapid development of society, the power demand is increasing, and the operation stability and safety of the distribution network become more and more important. However, since the power distribution network is mostly in an outdoor environment, the power distribution network is easily affected by various natural factors, such as strong wind, heavy rain, and the like, so that faults of line swing, breakage, and the like seriously affect the stable operation of the power system.
The patent document with the Chinese patent publication number of CN115693942A discloses an intelligent monitoring power supply control system of a power distribution network, which comprises a plurality of intelligent electric meters, a monitoring station, a mobile terminal and a control component, wherein the monitoring station is provided with a signal receiving unit which is respectively and electrically connected with the plurality of intelligent electric meters and is suitable for receiving monitored information, a plurality of historical power utilization information which respectively corresponds to a plurality of user terminals one by one is arranged in the monitoring station, and the monitoring station is used for comparing the monitored information with the historical power utilization information and outputting a comparison result; the mobile terminal is in wireless communication connection with the monitoring station and is provided with a display screen for displaying comparison results; the control component is connected to the power line for supplying power to the user terminal and is suitable for controlling the power supply quantity to the user terminal, and the operation of the control component is controlled by the monitoring station or the mobile terminal.
In the prior art, the lack of real-time monitoring of environmental factors leads to incapability of timely coping with the damage caused by the environmental factors to the operation process of the power distribution network, thereby affecting the operation stability of the power distribution network.
Disclosure of Invention
Therefore, the invention provides an intelligent monitoring control system for operation of a power distribution network, which is characterized in that an image is drawn by real-time wind speed and real-time wind direction of an operation environment of the power distribution network is monitored in real time, a power grid model is constructed according to the power distribution network image, a predicted influence area is judged according to the drawn wind speed image, the wind direction image and the power grid model, and the number of supporting points of the predicted influence area is adjusted according to a comparison result of actual wind receiving parameters and predicted wind receiving parameters, so that the problem that the power distribution network does not operate stably under different wind conditions can be solved.
In order to achieve the above object, the present invention provides an intelligent monitoring control system for operation of a power distribution network, the system comprising:
The data acquisition module is used for acquiring real-time wind direction and real-time wind speed values of the power distribution network operation environment in a preset period in real time according to a plurality of sensors;
the data processing module is connected with the data acquisition module and used for drawing a wind direction distribution diagram according to the real-time wind direction and drawing a wind speed change diagram according to the real-time wind speed value;
the analysis module is connected with the data processing module and used for determining actual wind receiving parameters of all areas of the power distribution network according to the wind speed change graph, the wind direction distribution graph and the power grid model of the power distribution network, and taking an area corresponding to the actual wind receiving parameters larger than the preset wind receiving force as a prediction influence area;
The adjusting module is connected with the analyzing module and used for comparing the actual wind-receiving parameter with the predicted wind-resisting parameter of the predicted influence area, determining an adjusting parameter according to a comparison result, adjusting the actual supporting point number of the predicted influence area according to the adjusting parameter, taking the actual wind-resisting parameter as the predicted wind-resisting parameter of the next period, and monitoring the next period of the operation of the power distribution network.
Further, the data processing module includes:
The wind direction drawing unit is connected with the data acquisition module and is used for establishing a rectangular coordinate system with the east, the south, the west and the north being respectively an x-axis positive direction, a y-axis negative direction, an x-axis negative direction and a y-axis positive direction, drawing a plurality of real-time wind directions in the rectangular coordinate system, and obtaining a wind direction distribution diagram;
The wind speed drawing unit is connected with the data acquisition module and used for establishing a rectangular coordinate system taking time as a horizontal axis and numerical value as a vertical axis, drawing a plurality of real-time wind speed values in the rectangular coordinate system and obtaining a wind speed change graph.
Further, the analysis module includes:
The construction unit is connected with the data processing module and used for acquiring image information of each region of the power distribution network through an image recognition technology and constructing a power grid model according to the image information;
The analysis unit is connected with the construction unit and used for determining a dominant wind direction according to the wind direction distribution diagram, analyzing the dominant wind direction and the power grid model, determining wind direction included angles of lines of each region of the power distribution network according to analysis results, and determining actual wind receiving parameters of each region according to a plurality of wind direction included angles and the wind speed change diagram;
The determining unit is connected with the analyzing unit and used for analyzing the actual wind-receiving parameters and determining an area, which is larger than the preset wind-receiving force and corresponds to the preset wind-receiving force, in the actual wind-receiving parameters as a prediction influence area.
Further, the analysis unit includes:
the analysis subunit is used for analyzing the wind direction distribution diagram, selecting the wind direction with the largest proportion in the wind direction distribution diagram as the dominant wind direction, determining the trend of the lines in each area of the power distribution network according to the power grid model, and determining the wind direction included angle according to the dominant wind direction and the trend of the lines;
And the wind receiving calculation subunit is connected with the analysis subunit and is used for determining actual wind receiving parameters of each area of the power distribution network according to the wind direction included angle and the wind speed change graph.
Further, the adjustment module includes:
The acquisition unit is connected with the analysis module and used for calculating the predicted wind resistance parameters according to the number of the actual supporting points of the predicted influence area;
The comparison unit is connected with the acquisition unit and used for comparing the actual wind-receiving parameter with the predicted wind-resistant parameter to acquire a comparison result;
The calculation unit is connected with the comparison unit and used for calculating adjustment parameters when the actual wind receiving parameters are larger than the predicted wind resisting parameters, increasing and adjusting the number of the actual supporting points according to the adjustment parameters, obtaining the number of the adjustment supporting points and calculating the actual wind resisting parameters according to the number of the adjustment supporting points;
And the updating unit is connected with the calculating unit and used for updating the predicted wind resistance parameter of the next period into the actual wind resistance parameter.
Further, the acquisition unit includes:
The acquisition subunit is connected with the analysis module and used for acquiring the number of actual supporting points in the prediction influence area according to the power grid model;
The determining subunit is connected with the acquiring subunit and used for calculating the supporting parameters of any supporting point and a preset wind resistance calculation model, acquiring the wind resistance parameters of any supporting point according to a calculation result, and determining the predicted wind resistance parameters according to the number of the actual supporting points and the wind resistance parameters of any supporting point.
Further, the computing unit includes:
the quantity adjusting subunit is used for calculating the difference value between the actual wind-receiving parameter and the predicted wind-resistant parameter when the actual wind-receiving parameter is larger than the predicted wind-resistant parameter, dividing the difference value by the predicted wind-resistant parameter to obtain an adjusting parameter, and multiplying the adjusting parameter by the actual number of supporting points to obtain the number of adjusting supporting points;
and the parameter updating subunit is connected with the quantity adjusting subunit and used for recalculating the actual wind resistance parameters according to the quantity of the adjusted supporting points and updating the actual wind resistance parameters into predicted wind resistance parameters of the next period.
Further, the number adjustment subunit further includes not adjusting the actual number of support points when the actual wind-receiving parameter is less than or equal to the predicted wind-resistant parameter.
Further, the construction unit includes:
the acquisition subunit is used for acquiring the image information of each region of the power distribution network through the image acquisition equipment;
The image analysis subunit is connected with the acquisition subunit and used for identifying line edge information in the image information through an edge detection algorithm, acquiring supporting points in the image information through a feature extraction algorithm and further acquiring position information of the supporting points;
The establishing subunit is connected with the image analysis subunit and used for establishing a power grid model according to the line edge information and the position information of the supporting points.
Further, the establishing subunit includes:
Smoothing the collected line edge information and the support point position information;
converting the position information of the supporting point from an image coordinate system to an engineering coordinate system, and simultaneously, carrying out corresponding coordinate conversion on the line side edge information;
Creating corresponding nodes based on the position information converted by the supporting points, and simultaneously creating line segments for connecting the nodes according to the edge information converted by the lines;
And determining a connection relation between nodes according to the position information of the supporting point conversion, determining a starting node and a terminating node according to the edge information of the line conversion, and establishing a relation between the nodes and the line segments to establish a power grid model.
Compared with the prior art, the method has the advantages that the data acquisition module is arranged to acquire the wind speed and wind direction data of the running environment of the power distribution network in real time, basic data are provided for subsequent data processing and analysis, the data processing module is arranged to draw the wind direction distribution diagram and the wind speed change diagram, the wind direction and the wind speed change situation of the running environment of the power distribution network can be intuitively displayed, the condition that the power distribution network is affected by wind can be better understood, visual basis is provided for subsequent fault early warning and decision making, the analysis module is arranged to accurately judge the affected area by combining the actual condition of the power distribution network, accurate data support is provided for subsequent supporting point adjustment, the adjustment module is arranged to intelligently adjust the supporting points of the power distribution network according to the real-time data and the prediction result, the wind resistance capability of the power distribution network is improved, the safe and stable running of the power distribution network is ensured, meanwhile, the adjusted actual wind resistance parameter is used as the predicted wind resistance parameter of the next period, the continuous monitoring and adjustment of the running of the power distribution network are realized, and the stable running of the power distribution network is ensured by continuously updating the predicted wind resistance parameter.
In particular, the construction unit is arranged to acquire the image information of each area of the power distribution network through the image recognition technology, accurately acquire the actual condition of the power distribution network, help to improve the accuracy of a subsequently constructed power grid model, based on the accurate power grid model, the analysis unit can more accurately analyze the influence of wind direction and wind speed on the power distribution network, provide accurate support for the prediction and adjustment strategy of supporting points, accurately determine the dominant wind direction according to the wind direction distribution diagram, help to analyze the influence of the wind direction on the power distribution network line and equipment, more effectively identify potential safety hazards and risk points through determining the dominant wind direction, determine the actual wind receiving parameters of each area according to the wind direction included angle and the wind speed change diagram, realize quantitative evaluation of the influence of wind, help to more accurately evaluate the wind run degrees of each area of the power distribution network, provide accurate data basis for subsequent judgment, accurately identify the prediction influence area through setting the determination unit, reduce the influence area of judgment, improve the subsequent analysis efficiency, thereby pertinently analyze the affected area, and help to improve the running stability of the power distribution network.
In particular, the analysis subunit is arranged to analyze the wind direction distribution diagram, accurately identify the wind direction with the largest proportion as the dominant wind direction, help accurately judge the predicted influence area in the power distribution network, determine the trend of lines in each area of the power distribution network according to the power grid model, calculate the wind direction included angle, provide important data foundation for the subsequent calculation of the actual wind-receiving parameters, calculate the actual wind-receiving parameters of each area of the power distribution network according to the wind direction included angle and the wind speed change diagram determined by the analysis subunit by the wind-receiving calculation subunit, quantify the influence degree of wind force on the power distribution network, help to accurately and intuitively know the influence degree of wind force on the power distribution network, provide accurate data support for the subsequent adjustment strategy, more accurately determine which areas of the power distribution network need more attention and maintenance based on the calculation result of the actual wind-receiving parameters, help to optimize the resource allocation, improve the efficiency and the effect of the maintenance work, and improve the stability of the operation process of the power distribution network.
In particular, the obtaining unit is set to calculate the predicted wind resistance parameter in real time according to the number of the actual supporting points in the predicted influence area, the wind resistance of the current power distribution network is rapidly estimated, accurate data support is provided for subsequent adjustment measures, the comparison unit is set to compare the actual wind resistance parameter with the predicted wind resistance parameter, the difference between the wind resistance of the current power distribution network and the actual wind resistance parameter is intuitively known, clear guidance is provided for the formulation of subsequent adjustment strategies, the calculation unit is set to calculate the adjustment parameters when the actual wind resistance parameter is larger than the predicted wind resistance parameter, the actual supporting points are increased and adjusted according to the adjustment parameters, the wind resistance of the power distribution network is pertinently improved, stable operation of the power distribution network is ensured, meanwhile, the predicted wind resistance parameter is updated to be the actual wind resistance parameter in real time, the predicted wind resistance parameter is more close to the actual situation, the prediction accuracy is improved, the predicted wind resistance parameter is enabled to be constantly approximate to the actual wind resistance parameter in the next period, the prediction accuracy is improved, the adjustment strategy is enabled to be more close to the actual wind resistance parameter, and the stability of the power distribution network is ensured.
In particular, the parameter calculation subunit is set to calculate the difference value between the actual wind-receiving parameter and the predicted wind-resistant parameter, the ratio of the difference value to the predicted wind-resistant parameter is taken as an adjustment parameter, the parameter reflects the deficiency degree of the wind-resistant capability of the current power distribution network, clear guidance is provided for subsequent adjustment, the number of adjustment subunits is set to multiply the adjustment parameter with the actual number of support points to obtain the number of support points to be increased, the pertinence improvement of the wind-resistant capability of the power distribution network is realized, the parameter update subunit is set to recalculate the actual wind-resistant parameter after each adjustment and take the actual wind-resistant parameter as the predicted wind-resistant parameter of the next period, so that the prediction is closer to the actual condition, the accuracy of the prediction is improved, the adjustment strategy is closer to the actual condition, the effectiveness of the adjustment strategy is improved, and the running stability of the power distribution network is ensured.
Drawings
Fig. 1 is a block diagram of a power distribution network operation intelligent monitoring control system according to an embodiment of the present invention;
Fig. 2 is a wind direction distribution diagram of an intelligent monitoring control system for operation of a power distribution network according to an embodiment of the present invention;
fig. 3 is a second structural block diagram of an intelligent monitoring control system for operation of a power distribution network according to an embodiment of the present invention;
Fig. 4 is a third structural block diagram of an intelligent monitoring control system for operation of a power distribution network according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
In addition, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "coupled," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, an embodiment of the present invention provides an intelligent monitoring control system for operation of a power distribution network, where the system includes:
The data acquisition module 10 is used for acquiring real-time wind direction and real-time wind speed values of the power distribution network operation environment in a preset period in real time according to a plurality of sensors;
The data processing module 20 is connected with the data acquisition module 10 and is used for drawing a wind direction distribution diagram according to the real-time wind direction and drawing a wind speed change diagram according to the real-time wind speed value;
the analysis module 30 is connected with the data processing module 20, and is used for determining actual wind receiving parameters of all areas of the power distribution network according to the wind speed change graph, the wind direction distribution graph and the power grid model of the power distribution network, and taking an area corresponding to the actual wind receiving parameters larger than the preset wind receiving force as a prediction influence area;
The adjusting module 40 is connected to the analyzing module 30, and is configured to compare the actual wind-receiving parameter with the predicted wind-resistant parameter of the predicted impact area, determine an adjusting parameter according to the comparison result, adjust the actual number of supporting points of the predicted impact area according to the adjusting parameter, and take the actual wind-resistant parameter as the predicted wind-resistant parameter of the next period, so as to monitor the next period of the operation of the power distribution network.
Specifically, the preset period in the embodiment of the invention is 30 days;
the sensor may be a wind speed and direction sensor.
In particular, the actual supporting points refer to actual physical points used for supporting and fixing various devices and circuits in the power distribution network, and the supporting points may include towers, supporting frames, wall mounting points and the like, and the strength and the number of the supporting points directly influence the stability and the wind resistance of the power distribution network.
Specifically, the embodiment of the invention acquires the wind speed and wind direction data of the running environment of the power distribution network in real time through the data acquisition module, provides basic data for subsequent data processing and analysis, draws the wind direction distribution diagram and the wind speed change diagram through the data processing module, can intuitively display the wind direction and wind speed change condition of the running environment of the power distribution network, is favorable for better understanding the condition of the power distribution network affected by wind, provides visual basis for subsequent fault early warning and decision, accurately judges the affected area by combining the actual condition of the power distribution network through the analysis module, provides accurate data support for subsequent supporting point adjustment, intelligently adjusts the supporting point of the power distribution network according to the real-time data and the prediction result through the adjustment module, improves the wind resistance capability of the power distribution network, ensures safe and stable running of the power distribution network, simultaneously takes the adjusted actual wind resistance parameter as the predicted wind resistance parameter of the next period, continuously monitors and adjusts the running of the power distribution network through continuously updating the predicted wind resistance parameter, and ensures stable running of the power distribution network.
Specifically, the data processing module 20 includes:
The wind direction drawing unit is connected with the data acquisition module 10 and is used for establishing a rectangular coordinate system with the east, the south, the west and the north being respectively an x-axis positive direction, a y-axis negative direction, an x-axis negative direction and a y-axis positive direction, drawing a plurality of real-time wind directions in the rectangular coordinate system, and obtaining a wind direction distribution diagram;
And the wind speed drawing unit is connected with the data acquisition module 10 and is used for establishing a rectangular coordinate system taking time as a horizontal axis and numerical value as a vertical axis, drawing a plurality of real-time wind speed values in the rectangular coordinate system and obtaining a wind speed change graph.
Referring to fig. 2, a possible embodiment of a wind direction distribution diagram is shown, wherein table 1 is the detected real-time wind direction:
Specifically, the embodiment of the invention sets up a rectangular coordinate system taking east, south, west and north as directions by setting the wind direction drawing unit, intuitively displays real-time wind direction data in the coordinate system, accurately knows the wind direction distribution conditions of different areas in the power distribution network, is favorable for intuitively analyzing and judging the influence of wind, and is favorable for improving the running safety and stability of the power distribution network by drawing a plurality of real-time wind direction data points in the coordinate system to form a wind direction distribution map so as to more clearly show the running trend of the wind direction and be favorable for improving the running safety and stability of the power distribution network.
As shown in fig. 3, the analysis module 30 includes:
the construction unit 31 is connected with the data processing module 20 and is used for acquiring image information of each area of the power distribution network through an image recognition technology and constructing a power grid model according to the image information;
The analysis unit 32 is connected with the construction unit 31 and is used for determining a dominant wind direction according to the wind direction distribution diagram, analyzing the dominant wind direction and the power grid model, determining wind direction included angles of lines of each region of the power distribution network according to analysis results, and determining actual wind receiving parameters of each region according to a plurality of wind direction included angles and the wind speed change diagram;
and the determining unit 33 is connected with the analyzing unit 32 and is used for analyzing a plurality of actual wind-driven parameters and determining an area which is larger than the preset wind-driven force and corresponds to the actual wind-driven parameters as a prediction influence area.
Specifically, one possible example of an embodiment of the present invention is: analyzing the wind direction distribution diagram, finding that the current dominant wind direction is northwest wind, analyzing the trend and the position of each regional line by using a power grid model, and determining the included angle between each regional line and the dominant wind direction, for example, finding that the included angle between the A regional line and the dominant wind direction is smaller, which means that the regional line is more easily impacted by wind directly.
Specifically, the embodiment of the invention acquires the image information of each area of the power distribution network through the image recognition technology by setting the construction unit, accurately acquires the actual condition of the power distribution network, is favorable for improving the precision of a subsequently constructed power grid model, based on the accurate power grid model, the analysis unit can analyze the influence of wind direction and wind speed on the power distribution network more accurately, provides accurate support for the adjustment strategy of prediction and supporting points, accurately determines the dominant wind direction according to the wind direction distribution map by setting the analysis unit, is favorable for analyzing the influence of the wind direction on the power distribution network line and equipment, more effectively recognizes potential safety hazards and risk points by determining the dominant wind direction, determines the actual wind receiving parameters of each area according to the wind direction included angle and wind speed change map, realizes quantitative evaluation of the influence of wind, is favorable for more accurately evaluating the influence of wind run degrees of each area of the power distribution network, provides accurate data basis for subsequent judgment, accurately recognizes the prediction influence area by setting the determination unit, reduces the influence area of the power distribution network, and improves the subsequent analysis efficiency, thereby analyzing the influence area more specifically and is favorable for improving the running stability of the power distribution network.
Specifically, the analysis unit includes:
the analysis subunit is used for analyzing the wind direction distribution diagram, selecting the wind direction with the largest proportion in the wind direction distribution diagram as the dominant wind direction, determining the trend of the lines in each area of the power distribution network according to the power grid model, and determining the wind direction included angle according to the dominant wind direction and the trend of the lines;
And the wind receiving calculation subunit is connected with the analysis subunit and is used for determining actual wind receiving parameters of each area of the power distribution network according to the wind direction included angle and the wind speed change graph.
Specifically, in the embodiment of the invention, the actual wind-receiving parameter f=ρ×a×cd×v++2xsin (θ), where F is the actual wind-receiving parameter, ρ is the air density, 0 ℃ under standard conditions, 1 standard atmospheric pressure (1 atm), the air density is about 1.29Kg/m, a is the stress area, that is, the projection area of the line in the wind direction, that is, the line width multiplied by the line length is the stress area, the line width is 150 square millimeters, the length can be obtained by measuring with a sensor, cd is the resistance coefficient 1.293g/l, V is the real-time wind speed, V is obtained with a wind speed measuring device, and θ is the wind direction included angle.
Specifically, the embodiment of the invention accurately identifies the wind direction with the largest proportion as the dominant wind direction by arranging the analysis subunit to analyze the wind direction distribution diagram, is favorable for accurately judging the predicted influence area in the power distribution network, determines the trend of the lines in each area of the power distribution network according to the power grid model, calculates the wind direction included angle, provides an important data basis for the subsequent calculation of the actual wind-receiving parameters, calculates the actual wind-receiving parameters of each area of the power distribution network according to the wind direction included angle and the wind speed change diagram determined by the analysis subunit by arranging the wind-receiving calculation subunit, quantifies the influence degree of wind on the power distribution network, is favorable for more accurately and intuitively knowing the influence degree of wind on the power distribution network, provides accurate data support for the subsequent adjustment strategy, more accurately determines which areas of the power distribution network need more attention and maintenance based on the calculation result of the actual wind-receiving parameters, is favorable for optimizing the resource configuration, improves the efficiency and the effect of maintenance work, and simultaneously improves the stability of the operation process of the power distribution network.
As shown in fig. 4, the adjustment module 40 includes:
An acquisition unit 41, connected to the analysis module 30, for calculating the predicted wind resistance parameter according to the number of actual support points of the predicted impact area;
a comparing unit 42, connected to the acquiring unit 41, for comparing the actual wind-receiving parameter with the predicted wind-resistant parameter to acquire a comparison result;
A calculating unit 43, connected to the comparing unit 42, for calculating an adjustment parameter when the actual wind receiving parameter is greater than the predicted wind resisting parameter, increasing and adjusting the number of the actual supporting points according to the adjustment parameter, obtaining the number of the adjusting supporting points, and calculating the actual wind resisting parameter according to the number of the adjusting supporting points;
An updating unit 44, which is connected to the calculating unit 43, for updating the predicted wind resistance parameter of the next cycle to the actual wind resistance parameter.
Specifically, the embodiment of the invention rapidly evaluates the wind resistance of the current power distribution network by setting the obtaining unit to calculate the predicted wind resistance parameters in real time according to the number of the actual supporting points of the predicted influence area, provides accurate data support for subsequent adjustment measures, intuitively knows the difference between the wind resistance of the current power distribution network and the actual wind resistance parameters by setting the comparing unit to compare the actual wind resistance parameters with the predicted wind resistance parameters, provides clear guidance for the formulation of subsequent adjustment strategies, calculates the adjustment parameters by setting the calculating unit when the actual wind resistance parameters are larger than the predicted wind resistance parameters, increases and adjusts the number of the actual supporting points according to the adjustment parameters, pertinently improves the wind resistance of the power distribution network, ensures the stable operation of the power distribution network, simultaneously, enables the prediction to be closer to the actual situation by updating the predicted wind resistance parameters in real time, enables the predicted wind resistance parameters to be updated to the actual wind resistance parameters in the next period, enables the predicted wind resistance parameters to be continuously approximate to the actual wind resistance parameters, improves the accuracy of the prediction, simultaneously enables the actual operation strategy to be closer to the actual operation situation, and ensures the stability of the power distribution network to be better.
Specifically, the acquisition unit includes:
an acquisition subunit, connected to the analysis module 30, for acquiring the number of actual supporting points in the predicted impact area according to the grid model;
The determining subunit is connected with the acquiring subunit and used for calculating the supporting parameters of any supporting point and a preset wind resistance calculation model, acquiring the wind resistance parameters of any supporting point according to a calculation result, and determining the predicted wind resistance parameters according to the number of the actual supporting points and the wind resistance parameters of any supporting point.
Specifically, the preset wind-resistant calculation model in the embodiment of the invention can be used for fitting a plurality of support parameters and corresponding wind-resistant parameters thereof by collecting the plurality of support parameters and the corresponding wind-resistant parameters thereof, determining the relation between the support parameters and the corresponding wind-resistant parameters, and establishing the preset wind-resistant calculation model based on the fitting relation;
the predicted wind resistance parameter is the actual supporting point reserve multiplied by the wind resistance parameter of any supporting point.
Specifically, the embodiment of the invention accurately acquires the number of the actual supporting points in the predicted influence area according to the power grid model by arranging the acquisition subunit, provides basic data support for subsequent wind resistance parameter calculation, calculates the supporting parameters of each supporting point and the model by using a preset wind resistance calculation model by arranging the determination subunit, obtains the wind resistance parameters of each supporting point, accurately calculates the predicted wind resistance parameters, provides an accurate data basis for subsequent comparison and adjustment, and is beneficial to improving the stability and safety of the operation of the power distribution network.
Specifically, the calculation unit includes:
the quantity adjusting subunit is used for calculating the difference value between the actual wind-receiving parameter and the predicted wind-resistant parameter when the actual wind-receiving parameter is larger than the predicted wind-resistant parameter, dividing the difference value by the predicted wind-resistant parameter to obtain an adjusting parameter, and multiplying the adjusting parameter by the actual number of supporting points to obtain the number of adjusting supporting points;
and the parameter updating subunit is connected with the quantity adjusting subunit and used for recalculating the actual wind resistance parameters according to the quantity of the adjusted supporting points and updating the actual wind resistance parameters into predicted wind resistance parameters of the next period.
Specifically, the embodiment of the invention calculates the difference value between the actual wind-receiving parameter and the predicted wind-resistant parameter by setting the parameter calculation subunit, takes the ratio of the difference value to the predicted wind-resistant parameter as the adjustment parameter, reflects the deficiency degree of the wind-resistant capability of the current power distribution network, provides clear guidance for subsequent adjustment, multiplies the adjustment parameter by the actual number of support points by setting the number adjustment subunit, obtains the number of support points to be increased, realizes the targeted improvement of the wind-resistant capability of the power distribution network, and recalculates the actual wind-resistant parameter after each adjustment by setting the parameter updating subunit and takes the actual wind-resistant parameter as the predicted wind-resistant parameter of the next period, so that the prediction is closer to the actual condition, the accuracy of the prediction is improved, the adjustment strategy is closer to the actual condition, the effectiveness of the adjustment strategy is improved, and the running stability of the power distribution network is ensured.
Specifically, the number adjustment subunit further includes not adjusting the actual number of support points when the actual wind-receiving parameter is less than or equal to the predicted wind-resistant parameter.
Specifically, the construction unit includes:
the acquisition subunit is used for acquiring the image information of each region of the power distribution network through the image acquisition equipment;
The image analysis subunit is connected with the acquisition subunit and used for identifying line edge information in the image information through an edge detection algorithm, acquiring supporting points in the image information through a feature extraction algorithm and further acquiring position information of the supporting points;
The establishing subunit is connected with the image analysis subunit and used for establishing a power grid model according to the line edge information and the position information of the supporting points.
Specifically, the edge detection algorithm in the embodiment of the invention can be a Canny edge detection algorithm, extracts line roadside information, and utilizes a Hough transformation algorithm to perform straight line fitting on the line roadside information so as to identify trend information of a line;
the feature extraction algorithm can be a texture recognition algorithm, and the position information of the supporting points is obtained by obtaining the supporting points in the image information according to the texture recognition algorithm and the relative position relation between the supporting points in the image information and the line edge information;
and constructing a power grid model according to the identified trend information of the line and the position information of the supporting point.
Specifically, the establishing subunit includes:
Smoothing the collected line edge information and the support point position information;
converting the position information of the supporting point from an image coordinate system to an engineering coordinate system, and simultaneously, carrying out corresponding coordinate conversion on the line side edge information;
Creating corresponding nodes based on the position information converted by the supporting points, and simultaneously creating line segments for connecting the nodes according to the edge information converted by the lines;
And determining a connection relation between nodes according to the position information of the supporting point conversion, determining a starting node and a terminating node according to the edge information of the line conversion, and establishing a relation between the nodes and the line segments to establish a power grid model.
Specifically, the embodiment of the invention obtains the image information of each region of the power distribution network through the image acquisition equipment, processes the image information by utilizing the edge detection algorithm and the feature extraction algorithm, identifies the trend information of the line and the position information of the supporting point, further establishes a power network model, provides basic data support for subsequent analysis and calculation, and simultaneously, in order to ensure the accuracy and the reliability of data, smoothes the acquired line edge information and supporting point position information, eliminates noise and interference factors in the image, improves the accuracy and the reliability of the data, converts the supporting point position information from an image coordinate system to an engineering coordinate system when the power network model is established, simultaneously carries out corresponding coordinate conversion on the line edge information, enables the established power network model to keep consistent with the geographic position and the line trend of an actual power distribution network, establishes corresponding nodes based on the position information of the supporting point conversion, establishes line segments of connecting nodes according to the edge information of the line conversion, determines the connection relation between the starting nodes and the ending nodes according to the position information of the supporting point conversion, establishes the relation between the nodes and the line segments so as to establish the power network model to be in line, thereby not only accords with the actual power distribution network position and the actual power distribution network, but also provides accurate and stable distribution of the power distribution network and the accurate and the running state.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. An intelligent monitoring control system for operation of a power distribution network, comprising:
The data acquisition module is used for acquiring real-time wind direction and real-time wind speed values of the power distribution network operation environment in a preset period in real time according to a plurality of sensors;
the data processing module is connected with the data acquisition module and used for drawing a wind direction distribution diagram according to the real-time wind direction and drawing a wind speed change diagram according to the real-time wind speed value;
the analysis module is connected with the data processing module and used for determining actual wind receiving parameters of all areas of the power distribution network according to the wind speed change graph, the wind direction distribution graph and the power grid model of the power distribution network, and taking an area corresponding to the actual wind receiving parameters larger than the preset wind receiving force as a prediction influence area;
The adjusting module is connected with the analyzing module and used for comparing the actual wind-receiving parameter with the predicted wind-resistant parameter of the predicted influence area, determining an adjusting parameter according to a comparison result, adjusting the actual supporting point number of the predicted influence area according to the adjusting parameter, calculating the actual wind-resistant parameter of the adjusted predicted influence area, taking the actual wind-resistant parameter as the predicted wind-resistant parameter of the next period, and monitoring the next period of the operation of the power distribution network;
The adjustment module includes:
The acquisition unit is connected with the analysis module and used for calculating the predicted wind resistance parameters according to the number of the actual supporting points of the predicted influence area;
The comparison unit is connected with the acquisition unit and used for comparing the actual wind-receiving parameter with the predicted wind-resistant parameter to acquire a comparison result;
The calculation unit is connected with the comparison unit and used for calculating adjustment parameters when the actual wind receiving parameters are larger than the predicted wind resisting parameters, increasing and adjusting the number of the actual supporting points according to the adjustment parameters, obtaining the number of the adjustment supporting points and calculating the actual wind resisting parameters according to the number of the adjustment supporting points;
An updating unit connected with the calculating unit for updating the predicted wind resistance parameter of the next period into the actual wind resistance parameter;
The acquisition unit includes:
The acquisition subunit is connected with the analysis module and used for acquiring the number of actual supporting points in the prediction influence area according to the power grid model;
The determining subunit is connected with the acquiring subunit and used for calculating the supporting parameters of any supporting point and a preset wind resistance calculation model, acquiring the wind resistance parameters of any supporting point according to a calculation result, and determining the predicted wind resistance parameters according to the number of the actual supporting points and the wind resistance parameters of any supporting point;
the calculation unit includes:
the quantity adjusting subunit is used for calculating the difference value between the actual wind-receiving parameter and the predicted wind-resistant parameter when the actual wind-receiving parameter is larger than the predicted wind-resistant parameter, dividing the difference value by the predicted wind-resistant parameter to obtain an adjusting parameter, and multiplying the adjusting parameter by the actual number of supporting points to obtain the number of adjusting supporting points;
and the parameter updating subunit is connected with the quantity adjusting subunit and used for recalculating the actual wind resistance parameters according to the quantity of the adjusted supporting points and updating the actual wind resistance parameters into predicted wind resistance parameters of the next period.
2. The intelligent monitoring control system for operation of a power distribution network according to claim 1, wherein the data processing module comprises:
The wind direction drawing unit is connected with the data acquisition module and is used for establishing a rectangular coordinate system with the east, the south, the west and the north being respectively an x-axis positive direction, a y-axis negative direction, an x-axis negative direction and a y-axis positive direction, drawing a plurality of real-time wind directions in the rectangular coordinate system, and obtaining a wind direction distribution diagram;
The wind speed drawing unit is connected with the data acquisition module and used for establishing a rectangular coordinate system taking time as a horizontal axis and numerical value as a vertical axis, drawing a plurality of real-time wind speed values in the rectangular coordinate system and obtaining a wind speed change graph.
3. The intelligent monitoring control system for operation of a power distribution network according to claim 2, wherein the analysis module comprises:
The construction unit is connected with the data processing module and used for acquiring image information of each region of the power distribution network through an image recognition technology and constructing a power grid model according to the image information;
The analysis unit is connected with the construction unit and used for determining a dominant wind direction according to the wind direction distribution diagram, analyzing the dominant wind direction and the power grid model, determining wind direction included angles of lines of each region of the power distribution network according to analysis results, and determining actual wind receiving parameters of each region according to a plurality of wind direction included angles and the wind speed change diagram;
The determining unit is connected with the analyzing unit and used for analyzing the actual wind-receiving parameters and determining an area, which is larger than the preset wind-receiving force and corresponds to the preset wind-receiving force, in the actual wind-receiving parameters as a prediction influence area.
4. A power distribution network operation intelligent monitoring control system according to claim 3, wherein the analysis unit comprises:
the analysis subunit is used for analyzing the wind direction distribution diagram, selecting the wind direction with the largest proportion in the wind direction distribution diagram as the dominant wind direction, determining the trend of the lines in each area of the power distribution network according to the power grid model, and determining the wind direction included angle according to the dominant wind direction and the trend of the lines;
And the wind receiving calculation subunit is connected with the analysis subunit and is used for determining actual wind receiving parameters of each area of the power distribution network according to the wind direction included angle and the wind speed change graph.
5. The intelligent monitoring control system for operation of a power distribution network according to claim 4, wherein the number adjustment subunit further comprises not adjusting the number of actual support points when the actual wind-up parameter is less than or equal to the predicted wind-resistance parameter.
6. The intelligent monitoring control system for operation of a power distribution network according to claim 5, wherein the construction unit comprises:
the acquisition subunit is used for acquiring the image information of each region of the power distribution network through the image acquisition equipment;
The image analysis subunit is connected with the acquisition subunit and used for identifying line edge information in the image information through an edge detection algorithm, acquiring supporting points in the image information through a feature extraction algorithm and further acquiring position information of the supporting points;
The establishing subunit is connected with the image analysis subunit and used for establishing a power grid model according to the line edge information and the position information of the supporting points.
7. The intelligent monitoring control system for operation of a power distribution network according to claim 6, wherein the establishing subunit comprises:
Smoothing the collected line edge information and the support point position information;
converting the position information of the supporting point from an image coordinate system to an engineering coordinate system, and simultaneously, carrying out corresponding coordinate conversion on the line side edge information;
Creating corresponding nodes based on the position information converted by the supporting points, and simultaneously creating line segments for connecting the nodes according to the edge information converted by the lines;
And determining a connection relation between nodes according to the position information of the supporting point conversion, determining a starting node and a terminating node according to the edge information of the line conversion, and establishing a relation between the nodes and the line segments to establish a power grid model.
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| CN106802930B (en) * | 2016-12-27 | 2020-08-11 | 云南电力调度控制中心 | Method for checking geographical position of power transmission line tower model |
| CN111125945A (en) * | 2019-11-28 | 2020-05-08 | 广东电网有限责任公司 | Method and device for evaluating ultimate wind resistance capability of power transmission line |
| CN117424210A (en) * | 2023-10-07 | 2024-01-19 | 国网浙江省电力有限公司温州供电公司 | Method, system and equipment for evaluating vulnerability of power CPS under typhoon disaster |
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| CN110555242A (en) * | 2019-08-13 | 2019-12-10 | 南方电网科学研究院有限责任公司 | Method, device and equipment for evaluating wind resistance of old tower and storage medium |
| CN116545119A (en) * | 2023-05-23 | 2023-08-04 | 广东电网有限责任公司电力调度控制中心 | Power distribution network running state risk early warning system |
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