CN108089080B - Power distribution network planning monitoring system - Google Patents
Power distribution network planning monitoring system Download PDFInfo
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- CN108089080B CN108089080B CN201711330747.3A CN201711330747A CN108089080B CN 108089080 B CN108089080 B CN 108089080B CN 201711330747 A CN201711330747 A CN 201711330747A CN 108089080 B CN108089080 B CN 108089080B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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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
Abstract
The invention discloses a power distribution network planning monitoring system which comprises an acquisition module, a communication module and a main control module, wherein the main control module comprises a central processing unit, a hard point table modification sub-module, a power grid construction model building sub-module and a parameterized DMU power grid model building sub-module. According to the method, the hard point table is modified through the main control module according to the collected power grid data, then a hard point power grid construction model is established based on the modified hard point table, then the hard point power grid construction model is parameterized, a power grid dynamic parameterization model is obtained, automatic construction of a power grid model is achieved, and real-time monitoring of a power grid is achieved; and the time required by the construction of the power grid model of each monitoring end can be reduced, so that the effectiveness of power grid regulation and control, and the stability and efficiency of safe operation are improved.
Description
Technical Field
The invention relates to the technical field of power distribution network management, in particular to a power distribution network planning and monitoring system.
Background
With the rapid development of power distribution network construction, power grid data is gradually developing towards the direction of type complexity and message diversification. The complex and diversified power distribution network provides higher requirements for safe operation of electric power, and in order to ensure the safe operation of the power distribution network, the power distribution network needs to be reasonably planned and monitored so as to discover potential safety hazards in advance and timely deal with safety problems.
At present, in a system with a simulation analysis function, the power grid condition of each section of monitoring route needs to be constructed, checked and analyzed by a model. If the model fails, the whole model is required to be built again. And circulating the steps until the performance parameters reach the expected values, and simultaneously, the mutual interference situation can not occur in the process of changing the power parameters and the requirements on strength, fatigue and the like can be met. Therefore, the time required by the construction of the power grid model of each monitoring section is long, and the dynamic model cannot be automatically constructed according to the monitored data, so that the effectiveness of the power network regulation and control, and the stability and the efficiency of the safety operation are low.
Disclosure of Invention
The invention aims to provide a power distribution network planning and monitoring system, which aims to reduce the time required by the construction of a power grid model of each monitoring section, automatically construct a dynamic model according to the monitored data, realize the real-time monitoring of the power grid data, and improve the effectiveness of power network regulation and control, and the stability and the efficiency of safe operation.
In order to achieve the above object, the present invention provides a power distribution network planning monitoring system, which includes:
the acquisition module comprises a plurality of function detection sub-modules with Beidou positioning modules and is used for acquiring power grid data of a preset monitoring management section;
the communication module is used as a communication medium of the acquisition module and the main control module;
the main control module comprises a central processing unit, a hard point table modification sub-module, a power grid construction model construction sub-module and a parameterized DMU power grid model construction sub-module;
the central processing unit is used for receiving the power grid data, marking the power grid data by using corresponding Beidou positioning information and time information to obtain marked power grid data, and sending the marked power grid data to the hard point table modification module;
the hard point table modification submodule is used for acting the marked power grid data on a pre-constructed hard point table by using a preset modification algorithm, modifying corresponding data of the hard point table and obtaining a modified hard point table;
the power grid construction model construction submodule is used for establishing a hard point power grid construction model according to the modified hard point table;
the parameterized DMU power grid model construction submodule is used for carrying out parameterized processing on the hard point power grid construction model and establishing a power grid construction point-line model of each area of a power grid system according to the hard point power grid construction model; constructing a point-line model based on the power grid, and establishing a detailed digital model of each regional power grid; and establishing a point-line DMU model of the power grid system, and decorating the detailed digital analogy to the point-line DMU model of the power grid system to obtain a parameterized DMU model of the power grid system.
Optionally, the main control module further includes a hard point table construction sub-module, configured to establish a dynamic model of the power grid system by using ADAMS according to a power grid structure form and operation parameters; reading an ADAMS hard point file at least comprising position information of each hard point of a power grid system, obtaining coordinate values of each hard point in the ADAMS hard point file, and constructing the pre-constructed hard point table according to the coordinate values;
the hard point table comprises the coordinate names of the hard points, the coordinate numerical value of each hard point and the distance value between two adjacent coordinates.
Optionally, the main control module further includes a power network state evaluation sub-module, configured to receive the marked power grid data sent by the central processing unit; and according to the marked power grid data, evaluating the state of the power grid by using a preset evaluation method to obtain an evaluation result.
Optionally, the main control module further includes a prediction submodule, configured to generate a temporal curve and a spatial effect curve according to the power grid data, compare, analyze, and predict the temporal curve and the spatial effect curve with an original measured curve, so as to obtain an analysis prediction result, and compare the power grid data with pre-stored power grid data in a similarity manner, so as to obtain a comparison result.
Optionally, the main control module further includes a display sub-module, configured to display the power grid data and the evaluation result, and display a result curve drawn based on the power grid data and the evaluation result, and the analysis prediction result and the comparison result.
Optionally, the main control module further includes a human-computer interaction sub-module, configured to receive an instruction of a user.
Optionally, the acquisition module at least comprises a voltage sensor, a current sensor, a frequency detection submodule, a load detection submodule, an electric field strength detection submodule and a magnetic field strength detection submodule;
the grid data includes at least voltage, current, frequency, load, electric field strength, and magnetic field strength.
Optionally, a cloud computing platform is also included; the communication module comprises a PLC operation module; the PLC operation module is in bidirectional communication connection with the main control module through the cloud computing platform.
By applying the technical scheme, the main control module modifies the hard point table according to the collected power grid data, then establishes a hard point power grid construction model based on the modified hard point table, and then parameterizes the hard point power grid construction model to obtain a power grid dynamic parameterization model, so that the automatic construction of the power grid model and the real-time monitoring of the power grid are realized; and the time required by the construction of the power grid model of each monitoring end can be reduced, so that the effectiveness of power grid regulation and control, and the stability and efficiency of safe operation are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a power distribution network planning and monitoring system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a power distribution network planning and monitoring system according to an embodiment of the present invention, where the system includes:
the acquisition module 100 comprises a plurality of function detection sub-modules with Beidou positioning modules and is used for acquiring power grid data of a preset monitoring management section;
the acquisition module 100 at least includes, but is not limited to, a voltage sensor, a current sensor, a frequency detection sub-module, a load detection sub-module, an electric field strength detection sub-module, and an magnetic field strength detection sub-module. Accordingly, the collected grid data includes at least, but is not limited to, voltage, current, frequency, load, electric field strength, and magnetic field strength.
And through the detection unit who takes big dipper orientation module collection electric wire netting data, can make all electric wire netting detected data all take big dipper orientation information certainly, like this, the confirming of detection module position of can being convenient for has improved the accuracy that detects.
In particular, the load detection submodule may comprise an instantaneous load detection unit for detecting a load fluctuation rate of the power network and an average load detection unit for detecting a load fluctuation trend of the power network. The electric field intensity detection submodule is specifically an electric field intensity detector, and the magnetic field intensity detection module is specifically a magnetic field intensity detector.
The communication module 200 is used as a communication medium between the acquisition module and the main control module;
wherein, this communication module can specifically include PLC operation module, and this PLC operation module can be connected to the internet through wired communication, can be through wireless communication module interconnect between the different PLC operation modules.
The system can also comprise a cloud computing platform, the PLC operation module is in bidirectional communication connection with the main control module through the cloud computing platform, and the cloud computing platform is in communication connection with the PLC operation module and the main control module through a full duplex mode.
The PLC operation module can be used as a communication medium of the acquisition module and the main control module, and can also perform scheduling control on each function detection unit of the acquisition module. That is, the communication module may be provided in one-to-one correspondence with the function detection module, and schedule and control the voltage, the current, the frequency, the load, the electric field strength, and the magnetic field strength of the power network, respectively.
The main control module 300 includes a central processing unit 310, a hard point table modification sub-module 320, a power grid structure model building sub-module 330, and a parameterized DMU power grid model building sub-module 340. Specifically, the main control module 300 may be embodied as a plurality of industrial computers with redundant configuration, and the industrial computers may be connected to the cloud computing platform, and each industrial computer has its own independent database.
The central processing unit 310 is configured to receive the power grid data, mark the power grid data by using corresponding Beidou positioning information and time information to obtain marked power grid data, and send the marked power grid data to the hard point table modification module 320;
the hard point table modification submodule 320 is used for applying the marked power grid data to a pre-constructed hard point table by using a preset modification algorithm, modifying corresponding data of the hard point table and obtaining a modified hard point table;
the power grid construction model construction submodule 330 is used for establishing a hard point power grid construction model according to the modified hard point table;
the parameterized DMU power grid model construction submodule 340 is used for carrying out parameterized processing on the hard point power grid construction model and establishing a power grid construction point-line model of each area of the power grid system according to the hard point power grid construction model; constructing a point-line model based on the power grid, and establishing a detailed digital model of each regional power grid; and establishing a point-line DMU model of the power grid system, and decorating the detailed digital analogy to the point-line DMU model of the power grid system to obtain a parameterized DMU model of the power grid system.
The hard point table may or may not be pre-constructed. Therefore, in this embodiment, the main control module 300 may further include a hard point table construction sub-module 350, configured to establish a dynamic model of the power grid system by using ADAMS according to the power grid structure form and the operation parameters; reading an ADAMS hard point file at least comprising position information of each hard point of the power grid system, obtaining coordinate values of each hard point in the ADAMS hard point file, and constructing a pre-constructed hard point table according to the coordinate values; the hard point table comprises the name of each hard point coordinate, the coordinate value of each hard point and the distance value between two adjacent coordinates.
More specifically, the hard point table may be constructed by reading coordinate values of each hard point in an ADAMS hard point file by using a Mat lab, and importing each coordinate value into an excel file, and storing each hard point name, each coordinate value, and a distance between two adjacent coordinates in a first form of the excel file. And placing the hard point coordinate name in a first column of a second form of the excel file, linking the second column to a corresponding coordinate numerical value in the first form, and linking a third column to the distance between two corresponding coordinates in the first form, so that the excel file is a pre-constructed hard point table which can be modified according to the acquired real-time power grid data.
The hard point table modification submodule 320 may modify, based on the direct or indirect correspondence between the collected power grid data and the relevant elements of the hard point table data, the corresponding data in the hard point table according to the power grid data, so as to complete the modification of the hard point table. Then, the power grid structure model constructing sub-module 330 constructs a power grid structure model including all the hard point coordinates of the power grid system based on the modified hard point table.
Then, the parameterized DMU power grid model building submodel 340 performs parameterized processing on the power grid structure model, so that the power grid structure model and the hard point table are associated, and each associated hard point in the power grid structure model is issued, specifically, the coordinate name and the numerical value in the hard point table are introduced into the hard point catdart model in the form of length parameters by using the parameter input function of the CATIA software; importing a hard point ideogram into a hard point CATPart model in a design table mode by using the design table attack of CATIA software, and indicating a second table of an excel file of an imported hard point table during import; converting coordinate values of all hard points in the hard point CATPArt model into corresponding design parameters by using a formula editor of CATIA software; and issuing each hard point in the hard point CATPart model by using an issuing tool of CATIA software.
The parameterized DMU power grid model building submodel 340 builds a power grid structure electric wire model of each area of the power grid system according to the power grid structure model, wherein the power grid structure point-line model of each area comprises corresponding part of issued hard points, maintains corresponding incidence relation, and then builds a detailed digital model of each area power grid based on the power grid structure point-line model; and establishing a point-line DMU model of the power grid system, and decorating the detailed digital analogy to the point-line DMU model of the power grid system to obtain a parameterized DMU model of the power grid system.
It can be seen that, by the hard point table modification sub-module 320 and the parameterized DMU power grid model construction sub-module 340, a real-time power grid model can be constructed according to the collected real-time power grid monitoring data, so as to realize the construction of a dynamic model of a power grid system and the real-time monitoring of a power grid. Meanwhile, referential data can be provided for the planning of the power distribution network, and the simulation analysis of the planning policy of the power distribution network is realized.
In some possible embodiments, the main control module 300 may further include a power network state evaluation sub-module 360, configured to receive the marked grid data sent by the central processing unit; and according to the marked power grid data, evaluating the state of the power grid by using a preset evaluation method to obtain an evaluation result.
In some possible embodiments, the main control module 300 may further include a prediction sub-module 370, configured to generate a temporal curve and a spatial effect curve according to the power grid data, compare, analyze and predict the temporal curve and the spatial effect curve with the original measured curve respectively to obtain an analysis prediction result, and compare the power grid data with the pre-stored power grid data in a similarity manner to obtain a comparison result.
The temporal curve shows the change condition of the original data or the power network parameter data of each monitoring point along with the time, and the spatial effect curve highlights the change rule of the monitoring results of different measuring points along with the power network spatial information at the same time.
In some possible embodiments, the main control module 300 may further include a display sub-module 380 for displaying the power grid data and the evaluation result, displaying a result curve drawn based on the power grid data and the evaluation result, and analyzing the prediction result and the comparison result. Specifically, different results can be displayed through different expression forms such as a two-dimensional graph or a three-dimensional graph, so that the related information is intuitive and easy to understand.
Of course, the main control module 300 further includes a man-machine interaction sub-module 390 for receiving a command from a user, for example, it may receive a control command from the user, and then send corresponding data to a corresponding module for execution according to the control command.
According to the power distribution network planning and monitoring system provided by the embodiment of the invention, the main control module 300 modifies the hard point table according to the power grid data acquired by the acquisition module 100, then establishes a hard point power grid construction model based on the modified hard point table, and then parameterizes the hard point power grid construction model to obtain a power grid dynamic parameterization model, so that the automatic construction of a power grid model and the real-time monitoring of a power grid are realized; and the time required by the construction of the power grid model of each monitoring end can be reduced, so that the effectiveness of power grid regulation and control, and the stability and efficiency of safe operation are improved.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The power distribution network planning and monitoring system provided by the invention is introduced in detail. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (8)
1. A power distribution network planning monitoring system, comprising:
the acquisition module comprises a plurality of function detection sub-modules with Beidou positioning modules and is used for acquiring power grid data of a preset monitoring management section;
the communication module is used as a communication medium of the acquisition module and the main control module;
the main control module comprises a central processing unit, a hard point table modification sub-module, a power grid construction model construction sub-module and a parameterized DMU power grid model construction sub-module; wherein, the hard point is a network node in the power grid system;
the central processing unit is used for receiving the power grid data, marking the power grid data by using corresponding Beidou positioning information and time information to obtain marked power grid data, and sending the marked power grid data to the hard point table modification module;
the hard point table modification submodule is used for acting the marked power grid data on a pre-constructed hard point table by using a preset modification algorithm, modifying corresponding data of the hard point table and obtaining a modified hard point table;
the power grid construction model construction submodule is used for establishing a hard point power grid construction model according to the modified hard point table;
the parameterized DMU power grid model construction submodule is used for carrying out parameterized processing on the hard point power grid construction model and establishing a power grid construction point-line model of each area of a power grid system according to the hard point power grid construction model; constructing a point-line model based on the power grid, and establishing a detailed digital model of each regional power grid; establishing a point-line DMU model of the power grid system, and decorating the detailed digital analogy to the point-line DMU model of the power grid system to obtain a parameterized DMU model of the power grid system;
the parameterized DMU power grid model building submodule is specifically used for importing coordinate names and numerical values in a hard point table into a hard point CATPArt model in a length parameter mode by utilizing a parameter input function of CATIA software; importing a hard point table into a hard point CATPArt model in a design table form by using a design table of CATIA software, and indicating a second table of an excel file of the imported hard point table during import; converting coordinate values of all hard points in the hard point CATPArt model into corresponding design parameters by using a formula editor of CATIA software; releasing each hard point in the hard point CATPart model by using a releasing tool of CATIA software; establishing a power grid construction point-line model of each area of the power grid system according to the hard point power grid construction model, wherein the power grid construction point-line model of each area comprises corresponding partial hard points in the issued hard points, corresponding association relations are kept, and then establishing a detailed digital-analog of each area power grid based on the power grid construction point-line model; and establishing a point-line DMU model of the power grid system, and decorating the detailed digital analogy to the point-line DMU model of the power grid system to obtain a parameterized DMU model of the power grid system.
2. The power distribution network planning monitoring system according to claim 1, wherein the master control module further comprises a hard point table construction submodule for establishing a dynamic model of the power grid system by using ADAMS according to a power grid structural form and operating parameters; reading an ADAMS hard point file at least comprising position information of each hard point of a power grid system, obtaining coordinate values of each hard point in the ADAMS hard point file, and constructing the pre-constructed hard point table according to the coordinate values;
the hard point table comprises the coordinate names of the hard points, the coordinate numerical value of each hard point and the distance value between two adjacent coordinates.
3. The power distribution network planning monitoring system of claim 2, wherein the master control module further comprises a power network state evaluation submodule for receiving the marked power grid data sent by the central processing unit; and according to the marked power grid data, evaluating the state of the power grid by using a preset evaluation method to obtain an evaluation result.
4. The power distribution network planning monitoring system according to claim 3, wherein the main control module further includes a prediction submodule, configured to generate a temporal curve and a spatial effect curve according to the power grid data, compare, analyze and predict the temporal curve and the spatial effect curve with an original measured curve respectively to obtain an analysis prediction result, and compare the power grid data with pre-stored power grid data in a similarity manner to obtain a comparison result.
5. The power distribution network planning monitoring system according to claim 4, wherein the main control module further includes a display sub-module, configured to display the power grid data and the evaluation result, and display a result curve drawn based on the power grid data and the evaluation result, and the analysis prediction result and the comparison result.
6. The power distribution network planning monitoring system of claim 5, wherein the master control module further comprises a human-computer interaction submodule for receiving a command from a user.
7. The power distribution network planning monitoring system of claim 1, wherein the acquisition module at least comprises a voltage sensor, a current sensor, a frequency detection submodule, a load detection submodule, an electric field strength detection submodule and a magnetic field strength detection submodule;
the grid data includes at least voltage, current, frequency, load, electric field strength, and magnetic field strength.
8. The power distribution network planning monitoring system of any one of claims 1 to 7, further comprising a cloud computing platform; the communication module comprises a PLC operation module; the PLC operation module is in bidirectional communication connection with the main control module through the cloud computing platform.
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