CN117422332A - Method, device, equipment and storage medium for evaluating influence degree of power grid system - Google Patents
Method, device, equipment and storage medium for evaluating influence degree of power grid system Download PDFInfo
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Abstract
The application relates to a method, a device, equipment and a storage medium for evaluating the affected degree of a power grid system. The method comprises the following steps: obtaining a subway network and a power grid system of a target evaluation area; constructing a subway power grid model according to the subway topological structure, the power grid topological structure and the electric connection relation between a subway network and a power grid system; constructing a main transformer direct current magnetic bias probability index and a ground potential influence index according to the subway power grid model, and constructing an influence degree evaluation model about the number of subway lines based on the main transformer direct current magnetic bias probability index and the ground potential influence index; the number of subway lines at the expected moment is obtained and is input into an influence degree evaluation model to obtain an evaluation value; and constructing an evaluation grade, and evaluating the affected degree of the power grid system of the target evaluation area according to the evaluation value based on the evaluation grade to obtain an evaluation result. The method can comprehensively evaluate the influence degree of the stray current of the subway line on the power grid system, and has more authenticity and reliability.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a storage medium for evaluating a degree of influence of a power grid system.
Background
With the development of subway construction technology, the number of subways in a plurality of cities is gradually increased. However, since the subway track is not completely insulated from the ground, part of the direct current may leak from the running track to the ground, forming stray currents and invading the surrounding substation through the ground. In addition, the subway network and the power grid system are electrically connected, and stray current also invades the power grid system through a cable armor and other metal paths, so that adverse effects are brought to the stable operation of the power grid system. For this reason, it is necessary to evaluate the degree of influence of the increase in the number of subway lines on the grid system.
In the prior art, when the influence of subway stray current on a power grid system is evaluated, only the influence of the stray current on a single main transformer is considered. However, in the process of increasing the amount of the stray current of the subway, the influence range on the transformer substation is huge, and only a single main transformer is not fully evaluated, so that an evaluation conclusion has a limitation.
Disclosure of Invention
Based on the above, it is necessary to provide a method, an apparatus, a device and a storage medium for evaluating the degree of influence of the number of subway lines on the grid system, which are capable of reasonably evaluating the degree of influence of the number of subway lines on the grid system.
In a first aspect, the present application provides a method for evaluating the impact level of a power grid system. The method comprises the following steps:
obtaining a subway network and a power grid system of a target evaluation area; the subway network comprises a subway topological structure, and the power grid system comprises a power grid topological structure;
constructing a subway power grid model according to the subway topological structure, the power grid topological structure and the electric connection relation between a subway network and a power grid system, and assigning values to parameters of the subway power grid model;
constructing a main transformer direct current magnetic bias probability index and a ground potential influence index according to the subway power grid model, and constructing an influence degree evaluation model about the number of subway lines based on the main transformer direct current magnetic bias probability index and the ground potential influence index;
the number of subway lines at the expected moment is obtained and is input into an influence degree evaluation model to obtain an evaluation value;
and constructing an evaluation grade, and evaluating the affected degree of the power grid system of the target evaluation area according to the evaluation value based on the evaluation grade to obtain an evaluation result.
In one embodiment, the power grid system further includes a main transformer number with a neutral point grounded; constructing a main transformer direct current magnetic bias probability index according to a subway power grid model, wherein the method comprises the following steps:
determining node voltages of all nodes in the subway power grid model, and determining neutral point currents of all transformers based on the node voltages and corresponding transformer winding resistances;
And constructing a main-change direct-current magnetic bias probability index according to the number of neutral point currents larger than a preset current threshold value and the main variable number.
In one embodiment, the subway network includes a number of stops; the construction process of the ground potential influence index comprises the following steps:
acquiring a longitude range, a latitude range and soil resistivity of a target evaluation area, acquiring a station longitude and latitude matrix of a subway network, and acquiring a substation longitude and latitude matrix of a power grid system;
constructing a regional longitude and latitude matrix of a target evaluation region according to the longitude range and the latitude range, and constructing a grounding node matrix according to the longitude and latitude matrix of the station and the longitude and latitude matrix of the transformer substation;
determining the ground potential value of each longitude and latitude of the target evaluation area according to the longitude and latitude matrix of the area, the soil resistivity, the voltage of each node and the grounding node matrix;
and constructing the ground potential influence index according to the number of ground potential values larger than a preset ground potential threshold value and the total element amount of the regional longitude and latitude matrix.
In one embodiment, determining the ground potential value of each longitude and latitude of the target evaluation area according to the regional longitude and latitude matrix, the soil resistivity, each node voltage and the ground node matrix includes:
constructing a node voltage matrix based on node voltages of all nodes, and determining leakage current of all grounding points of the power grid system based on the node voltage matrix and corresponding grounding resistance;
Constructing a distance matrix based on the distances between each element in the regional longitude and latitude matrix and each element in the grounding node matrix;
and constructing a ground potential matrix according to the soil resistivity, the leakage current and the distance matrix, and obtaining ground potential values of the target evaluation interval at different longitude and latitude positions based on the ground potential matrix.
In one embodiment, constructing the influence degree evaluation model about the number of subway lines based on the main-transformer direct-current magnetic bias probability index and the ground potential influence index includes:
acquiring the number N of subway lines at the current moment; wherein N is a positive integer;
calculating probability values of the number of subway lines from 1 to N according to the main transformer direct current magnetic bias probability indexes to obtain a probability evaluation matrix, and constructing a probability evaluation function based on the probability evaluation matrix;
calculating each ground potential value of the number of subway lines from 1 to N according to the ground potential influence indexes to obtain a ground potential evaluation matrix, and constructing a ground potential evaluation function based on the ground potential evaluation matrix;
and constructing an influence degree evaluation model according to the probability evaluation function and the ground potential evaluation function, and determining weights of the probability evaluation function and the ground potential evaluation function.
In one embodiment, an evaluation level is constructed, based on the evaluation level, the evaluation is performed on the affected degree of the power grid system in the target evaluation area according to the evaluation value, so as to obtain an evaluation result, including:
Acquiring a first preset evaluation threshold and a second preset evaluation threshold, and constructing an evaluation grade; assessment scale includes mild, general and severe;
if the evaluation value is larger than 0 and smaller than a first preset evaluation threshold value, judging that the affected degree of the power grid system is slight;
if the evaluation value is larger than or equal to the first preset evaluation threshold value and smaller than the second preset evaluation threshold value, judging that the affected degree of the power grid system is general;
and if the evaluation value is greater than or equal to the second preset evaluation threshold value and is smaller than 1, judging that the affected degree of the power grid system is serious.
In a second aspect, the application also provides a device for evaluating the influence degree of a power grid system. The device comprises:
the parameter acquisition module is used for acquiring a subway network and a power grid system of the target evaluation area; the subway network comprises a subway topological structure, and the power grid system comprises a power grid topological structure;
the subway power grid model construction module is used for constructing a subway power grid model according to a subway topological structure, a power grid topological structure and an electric connection relation between a subway network and a power grid system, and assigning values to parameters of the subway power grid model;
the evaluation model construction module is used for constructing a main-transformer direct-current magnetic bias probability index and a ground potential influence index according to the subway power grid model, and constructing an influence degree evaluation model about the number of subway lines based on the main-transformer direct-current magnetic bias probability index and the ground potential influence index;
The evaluation value determining module is used for obtaining the number of subway lines at the expected moment, and inputting the number of subway lines into the influence degree evaluation model to obtain an evaluation value;
and the evaluation result determining module is used for constructing an evaluation grade, and evaluating the affected degree of the power grid system of the target evaluation area according to the evaluation value based on the evaluation grade to obtain an evaluation result.
In a third aspect, the present application also provides a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
obtaining a subway network and a power grid system of a target evaluation area; the subway network comprises a subway topological structure, and the power grid system comprises a power grid topological structure;
constructing a subway power grid model according to the subway topological structure, the power grid topological structure and the electric connection relation between a subway network and a power grid system, and assigning values to parameters of the subway power grid model;
constructing a main transformer direct current magnetic bias probability index and a ground potential influence index according to the subway power grid model, and constructing an influence degree evaluation model about the number of subway lines based on the main transformer direct current magnetic bias probability index and the ground potential influence index;
the number of subway lines at the expected moment is obtained and is input into an influence degree evaluation model to obtain an evaluation value;
And constructing an evaluation grade, and evaluating the affected degree of the power grid system of the target evaluation area according to the evaluation value based on the evaluation grade to obtain an evaluation result.
In a fourth aspect, the present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
obtaining a subway network and a power grid system of a target evaluation area; the subway network comprises a subway topological structure, and the power grid system comprises a power grid topological structure;
constructing a subway power grid model according to the subway topological structure, the power grid topological structure and the electric connection relation between a subway network and a power grid system, and assigning values to parameters of the subway power grid model;
constructing a main transformer direct current magnetic bias probability index and a ground potential influence index according to the subway power grid model, and constructing an influence degree evaluation model about the number of subway lines based on the main transformer direct current magnetic bias probability index and the ground potential influence index;
the number of subway lines at the expected moment is obtained and is input into an influence degree evaluation model to obtain an evaluation value;
and constructing an evaluation grade, and evaluating the affected degree of the power grid system of the target evaluation area according to the evaluation value based on the evaluation grade to obtain an evaluation result.
In a fifth aspect, the present application also provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of:
obtaining a subway network and a power grid system of a target evaluation area; the subway network comprises a subway topological structure, and the power grid system comprises a power grid topological structure;
constructing a subway power grid model according to the subway topological structure, the power grid topological structure and the electric connection relation between a subway network and a power grid system, and assigning values to parameters of the subway power grid model;
constructing a main transformer direct current magnetic bias probability index and a ground potential influence index according to the subway power grid model, and constructing an influence degree evaluation model about the number of subway lines based on the main transformer direct current magnetic bias probability index and the ground potential influence index;
the number of subway lines at the expected moment is obtained and is input into an influence degree evaluation model to obtain an evaluation value;
and constructing an evaluation grade, and evaluating the affected degree of the power grid system of the target evaluation area according to the evaluation value based on the evaluation grade to obtain an evaluation result.
The method, the device, the equipment and the storage medium for evaluating the affected degree of the power grid system are used for constructing a subway power grid model based on the subway topological structure and the power grid topological structure of the target evaluation area and the electric connection relation of the subway topological structure and the power grid topological structure, and determining parameter values in the subway power grid model. The method comprises the steps of constructing a main transformer direct current magnetic bias probability index and a ground potential influence index based on a determined subway power grid model, constructing an influence degree evaluation model based on the two influence indexes, wherein the influence degree evaluation model at the moment is a function model of the number of subway lines and evaluation values, namely, different evaluation values can be obtained corresponding to the number of different subway lines. After the number of subway lines at the expected future moment is obtained, an evaluation value corresponding to the number can be obtained by inputting the value influence degree evaluation model. Then, an evaluation level with respect to the evaluation value is constructed, and an evaluation result is determined based on the evaluation value. Compared with the influence of stray current on a single main transformer in the prior art, the method provided by the application combines the topological structures of the subway line and the power grid system, builds an evaluation model based on direct current magnetic bias and ground potential, comprehensively evaluates the influence degree of the stray current on the power grid system by the subway line, and has authenticity and reliability.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort for a person having ordinary skill in the art.
FIG. 1 is a diagram of an application environment for a method of evaluating the impact level of a power grid system in one embodiment;
FIG. 2 is a flow chart of a method for evaluating the impact level of a power grid system according to one embodiment;
FIG. 3 is a flow chart of a method for evaluating the impact level of a power grid system according to another embodiment;
FIG. 4 is a block diagram of an apparatus for evaluating the impact level of a power grid system in one embodiment;
fig. 5 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The method for evaluating the affected degree of the power grid system, provided by the embodiment of the application, can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The increase in the number of subway lines causes an increase in stray current, which results in an impact on the grid system. And constructing an influence degree evaluation model based on the existing subway lines in the target evaluation area, and then inputting the number of preset subway lines at the future moment into the influence degree evaluation model to obtain an influence degree evaluation result of the power grid system when the subway lines are increased.
The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In an exemplary embodiment, as shown in fig. 2, a method for evaluating the influence degree of a power grid system is provided, and the method is applied to the server 104 in fig. 1 for illustration, and includes the following steps S202 to S210. Wherein:
s202, a subway network and a power grid system of a target evaluation area are obtained; the subway network comprises a subway topological structure, and the power grid system comprises a power grid topological structure.
The target evaluation area is an area with subway lines built, and the influence of the number of the subway lines on a power grid system of the target evaluation area needs to be evaluated. Illustratively, the target evaluation area may be a city.
The subway network refers to a network formed by subway systems operated in a target evaluation area, and consists of subway lines, stations and facilities and equipment related to the subway lines and stations. The subway topological structure is a topological structure of a subway network, and refers to a connection mode and a layout between a subway line and a station. Illustratively, subway lines are used as edges of a topological structure, and stations are used as nodes.
The power grid system refers to a set of power supply system consisting of a power plant, a transformer substation, a transmission line, a power distribution network and users. The transformer substation is an important link in a power grid system and is used for converting high-voltage electric energy into low-voltage electric energy or converting voltages of different levels into each other. Substations are typically located at distribution network nodes to ensure stability of voltage and quality of electrical energy during transmission.
The power grid topology refers to the connection and layout between individual power devices and elements in the power grid system. It determines the transmission path and the flow pattern of the electrical energy in the electrical network. Schematically, elements such as a transformer substation in a power grid system are taken as nodes, and a power transmission line is taken as an edge.
S204, constructing a subway power grid model according to the subway topological structure, the power grid topological structure and the electric connection relation between the subway network and the power grid system, and assigning values to parameters of the subway power grid model.
Subway trains require electrical energy to operate, and thus subway systems need to obtain power supply from a grid system. And the subway system adopts a rail electrification mode, namely, the power supply to the train is realized through the contact net and the current collecting device. The overhead contact system is powered by the power grid system, the current collecting device is arranged on a subway train and is in contact with the overhead contact system to transmit the power to the traction system of the train so as to drive the train to run.
The electrical connection relation comprises series connection, parallel connection, star connection and mesh connection, and the subway network and the power grid system have dense electrical connection relation due to the fact that the subway network depends on the power grid system for power supply, so that a subway power grid model is built. Illustratively, the subway power grid model may be a subway power grid direct current resistance network model constructed based on direct current resistance.
Subway systems typically employ dc power. In order to describe the connection between the subway and the urban power grid, a direct current resistance network model may be used. Specifically, the subway line is equivalent to a direct current resistance network model with centralized parameters, and the direct current resistance network model comprises an up/down contact network, a steel rail, a through ground wire and a reference ground structure, wherein the up/down contact network structure model comprises traction substation nodes and train nodes. And the traction substation node is equivalent to a direct-current resistor parallel direct-current source structure and is connected between the contact net traction substation node and the steel rail traction substation node. According to the topological structure of the power grid system, the direct-current resistance network model equivalent to the centralized parameters comprises a transformer bus node and a transformer substation grounding node. And the subway power grid model can be obtained based on the cable armored connection relationship between the subway network and the grounding network of the power grid system substation by coupling the subway direct-current resistance network model and the power grid direct-current resistance network model.
And determining direct current resistance, current excitation, grounding resistance of grounding nodes, transimpedance between the grounding nodes, series voltage of the grounding nodes and voltage of the grounding nodes of the transformer substation among the nodes of the subway power grid model. And further calculating and determining equivalent current, node voltage and the like of the grounding node in the subway power grid model.
S206, constructing a main transformer direct current magnetic bias probability index and a ground potential influence index according to the subway power grid model, and constructing an influence degree evaluation model about the number of subway lines based on the main transformer direct current magnetic bias probability index and the ground potential influence index.
The main transformer is a main transformer for realizing voltage conversion. The direct current magnetic bias of the transformer means that direct current enters the transformer through the high-voltage side neutral point of the transformer to be grounded, so that the iron core of the transformer generates a magnetic field. The direct current passes through the magnetized iron core, so that the magnetic flux of the magnetic circuit of the transformer is increased, the magnetostriction of the transformer and the noise generated by electromagnetic force are increased, and the vibration is increased. Therefore, when the number of subway lines is estimated to be increased through the main transformer direct current magnetic bias probability index, the influence of direct current on the transformer is estimated.
The ground potential of the power grid refers to potential difference between a place and the earth, when leakage current exists at the ground point, the ground potential changes, and the ground potential can quantitatively represent the leakage current at the ground point in a subway power grid model. Therefore, when the increase of the number of subway lines is evaluated through the ground potential influence index, influence caused by leakage current is generated.
The influence degree evaluation model is constructed based on the main transformer direct current magnetic bias probability index and the ground potential influence index, and the synergistic effect of the main transformer direct current magnetic bias probability index and the ground potential influence index is reflected.
S208, the number of subway lines at the expected moment is obtained and is input into an influence degree evaluation model to obtain an evaluation value.
The influence degree evaluation model is constructed based on the number of existing subway lines, and when the number of subway lines changes, an evaluation value is generated based on the influence degree evaluation model. The evaluation value is used for quantitatively evaluating the degree of influence.
S210, constructing an evaluation grade, and evaluating the affected degree of the power grid system of the target evaluation area according to the evaluation value based on the evaluation grade to obtain an evaluation result.
The evaluation level is a relation model of the constructed evaluation value interval and the influence degree, an evaluation result is obtained according to the interval to which the evaluation value belongs, and the evaluation result reflects the influence degree of the number of subway lines on the power grid system.
In the method for evaluating the affected degree of the power grid system, a subway power grid model is constructed based on the subway topological structure and the power grid topological structure of the target evaluation area and the electric connection relation of the subway topological structure and the power grid topological structure, and parameter values in the subway power grid model are determined. The method comprises the steps of constructing a main transformer direct current magnetic bias probability index and a ground potential influence index based on a determined subway power grid model, constructing an influence degree evaluation model based on the two influence indexes, wherein the influence degree evaluation model at the moment is a function model of the number of subway lines and evaluation values, namely, different evaluation values can be obtained corresponding to the number of different subway lines. After the number of subway lines at the expected future moment is obtained, an evaluation value corresponding to the number can be obtained by inputting the value influence degree evaluation model. Then, an evaluation level with respect to the evaluation value is constructed, and an evaluation result is determined based on the evaluation value. Compared with the influence of stray current on a single main transformer in the prior art, the method provided by the application combines the topological structures of the subway line and the power grid system, builds an evaluation model based on direct current magnetic bias and ground potential, comprehensively evaluates the influence degree of the stray current on the power grid system by the subway line, and has authenticity and reliability.
In one exemplary embodiment, the power grid system further includes a main transformer number with a neutral point grounded; constructing a main transformer direct current magnetic bias probability index according to a subway power grid model, wherein the method comprises the following steps: determining node voltages of all nodes in the subway power grid model, and determining neutral point currents of all transformers based on the node voltages and corresponding transformer winding resistances; and constructing a main-change direct-current magnetic bias probability index according to the number of neutral point currents larger than a preset current threshold value and the main variable number.
The number of main transformers with the grounded central point refers to the number of main transformers with the neutral point connected to the ground through the ground in the grid system, and is denoted by M.
Calculating a model node voltage matrix U by using a node admittance method, and calculating neutral point current I of each transformer according to the node voltage matrix U and transformer winding resistance z ＝[I z1 ，I z2 ，…，I zM ]。
Acquiring a preset current threshold I th Statistics I z >I th According to the element number M and the main transformer number M with the central point grounded, obtaining a main transformer direct current magnetic bias probability index eta, as shown in a formula (1):
η＝m/M (1)
in the embodiment, each node voltage in the subway power grid model is determined first, neutral point current of each transformer is obtained based on each node voltage, and the neutral point current is compared with a preset current threshold value, so that a main-transformer direct-current magnetic bias probability index is constructed. In this way, the neutral point current evaluation method is integrated with the evaluation index, and the evaluation reliability is improved.
In one exemplary embodiment, the subway network includes a number of stops; the construction process of the ground potential influence index comprises the following steps: acquiring a longitude range, a latitude range and soil resistivity of a target evaluation area, acquiring a station longitude and latitude matrix of a subway network, and acquiring a substation longitude and latitude matrix of a power grid system; constructing a regional longitude and latitude matrix of a target evaluation region according to the longitude range and the latitude range, and constructing a grounding node matrix according to the longitude and latitude matrix of the station and the longitude and latitude matrix of the transformer substation; determining the ground potential value of each longitude and latitude of the target evaluation area according to the longitude and latitude matrix of the area, the soil resistivity, the voltage of each node and the grounding node matrix; and constructing a ground potential influence index according to the number of ground potential values larger than a preset ground potential threshold value and the total element amount of the regional longitude and latitude matrix.
The subway network comprises the number V of stations, and a station longitude and latitude matrix L is constructed according to the positions of the stations m Building a substation longitude and latitude matrix L according to longitude and latitude of each substation in a power grid system p . The target evaluation area is located in a longitude range (a, b), a latitude range (c, d), and a soil resistivity ρ.
Dividing the longitude and latitude of the target evaluation area according to the degree precision of 0.001, dividing the longitude and latitude of the target evaluation area into an area longitude and latitude matrix G of [1000 (b-a) ] [1000 (d-c) ], wherein each matrix element in the area longitude and latitude matrix G represents the longitude and latitude of a certain point of the target evaluation area.
In one embodiment, the step of determining the ground potential value for each latitude and longitude of the target evaluation area comprises: constructing a node voltage matrix based on node voltages of all nodes, and determining leakage current of all grounding points of the power grid system based on the node voltage matrix and corresponding grounding resistance; constructing a distance matrix based on the distances between each element in the regional longitude and latitude matrix and each element in the grounding node matrix; and constructing a ground potential matrix according to the soil resistivity, the leakage current and the distance matrix, and obtaining ground potential values of the target evaluation interval at different longitude and latitude positions based on the ground potential matrix.
Calculating a node voltage matrix U by using a node admittance method, and calculating leakage current I of each grounding point according to the node voltage matrix U and the grounding resistance x ＝[I x1 ，I x2 ，…，I x(M+V) ]。
Based on station longitude and latitude matrix L m And longitude and latitude matrix L of transformer substation p Constructing a grounding node matrix L= [ L ] M ，L P ]A distance matrix R is constructed based on the distance between the matrix element of the regional latitude and longitude matrix G and each matrix element in the ground node matrix L. The distance between the matrix element of the regional longitude and latitude matrix G and the matrix element of the ground node matrix L can be obtained according to formula (2):
wherein r is the distance between Q, P points in calculation, and the unit is kilometers; lng1 and Lat1 respectively represent the longitude and latitude of the Q point, and Lng2 and Lat2 respectively represent the longitude and latitude of the P point; q=lat1-lat2 is the difference between two latitudes, and p=lng1-lng2 is the difference between two longitudes; 6378.137 is the equatorial radius of the earth in kilometers.
After obtaining the distance matrix R, constructing a ground potential matrix by the formula (3):
wherein,transposed matrix representing ground point leakage current sequence, R i Is a distance matrix between the ith point in the regional longitude and latitude matrix G and each matrix element of the grounding node matrix L.
After the ground potential matrix is constructed, the ground potential value of each longitude and latitude in the target evaluation area can be determined based on the values of matrix elements in the ground potential matrix.
In the embodiment, the ground potential value of each longitude and latitude position is determined based on the soil resistivity, the leakage current and the longitude and latitude of the target evaluation area, and evaluation is performed by taking the longitude and latitude as a reference, so that the evaluation accuracy is improved.
Then, a preset ground potential threshold value is obtained, and a ground potential influence index ζ is constructed according to a formula (4):
ζ＝o/O (4)
where O is the number of ground potential values greater than a preset ground potential threshold value, and O is the total amount of elements of the regional longitude and latitude matrix G.
In this embodiment, the ground potential influence index is constructed according to the ground potential value and the number of elements of the regional longitude and latitude matrix, and is constructed based on the longitude and latitude of the target evaluation region, so that the ground potential influence index is a parameter about the longitude and latitude, and the accuracy of the evaluation is improved.
In one exemplary embodiment, constructing an influence degree evaluation model on the number of subway lines based on the main-transformer dc bias magnetic probability index and the ground potential influence index includes: acquiring the number N of subway lines at the current moment; wherein N is a positive integer; calculating probability values of the number of subway lines from 1 to N according to the main transformer direct current magnetic bias probability indexes to obtain a probability evaluation matrix, and constructing a probability evaluation function based on the probability evaluation matrix; calculating each ground potential value of the number of subway lines from 1 to N according to the ground potential influence indexes to obtain a ground potential evaluation matrix, and constructing a ground potential evaluation function based on the ground potential evaluation matrix; and constructing an influence degree evaluation model according to the probability evaluation function and the ground potential evaluation function, and determining weights of the probability evaluation function and the ground potential evaluation function.
And at the current moment, the number of subway lines in the target evaluation area is N. And carrying out linear regression analysis on the evaluation indexes under different subway line numbers by adopting a least square method to obtain a fitting trend line.
Specifically, for main-transformer direct-current magnetic bias probability indexes eta of different subway line numbers, calculating main-transformer direct-current magnetic bias probability indexes eta under the subway line numbers from 1 to N, and summarizing to obtain a probability evaluation matrix J= [ eta ] 1 ,η 2 ...η N ]Wherein eta i And the main-transformer direct-current magnetic bias probability index value when the number of subway lines is i is shown.
For the ground potential influence indexes zeta of different subway line numbers, calculating the ground potential influence indexes zeta under the subway line numbers from 1 to N, and summarizing to obtain a ground potential evaluation matrix H= [ zeta ] 1 ,ζ 2 ...ζ N ]Wherein ζ i The ground potential influence index value when the number of subway lines is i is indicated.
Carrying out linear regression analysis on the number of subway lines and the probability evaluation matrix J by adopting a least square method to obtain a fitting function, namely a probability evaluation function, as shown in a formula (5):
W＝a 0 +a 1 x+…+a N x N (5)
wherein W is a power grid main transformer direct current magnetic bias probability index; x is the number of subway lines; a, a 0 …a N For linear regression analysisFitting function coefficients solved in (a).
Carrying out linear regression analysis on the number of subway lines and the ground potential evaluation matrix H by adopting a least square method to obtain a fitting function, namely a ground potential evaluation function, as shown in a formula (6):
E＝b 0 +b 1 x+…+b N x N (6)
E is an influence index of the ground potential of the power grid; x is the number of subway lines; b 0 …b N Fitting function coefficients solved in the linear regression analysis.
Then, an influence degree evaluation model is constructed based on the obtained probability evaluation function and the ground potential evaluation function, and the weight of the influence degree evaluation model is preset based on an expert scoring method or the expert scoring method, as shown in a formula (7):
Z＝αW+βE (7)
wherein Z is an evaluation value, and alpha and beta are weights of a probability evaluation function and a ground potential evaluation function, respectively. Illustratively, α and β may be derived from historical data by expert scoring, or may be manually preset values.
In this embodiment, an evaluation matrix concerning the number of subway lines is constructed based on the evaluation index, an evaluation fitting function is constructed based on the least square method, an evaluation model is constructed based on the evaluation fitting function, and weights are determined. In such a way, an evaluation mode based on the number of subway lines is constructed, so that an evaluation value is output based on the number of subway lines, the main-transformer direct-current magnetic bias probability and the ground potential value are comprehensively judged, and the evaluation reliability is higher.
In an exemplary embodiment, an evaluation level is constructed, based on the evaluation level, the degree of influence of the power grid system in the target evaluation area is evaluated according to the evaluation value, and an evaluation result is obtained, which includes: acquiring a first preset evaluation threshold and a second preset evaluation threshold, and constructing an evaluation grade; assessment scale includes mild, general and severe; if the evaluation value is larger than 0 and smaller than a first preset evaluation threshold value, judging that the affected degree of the power grid system is slight; if the evaluation value is larger than or equal to the first preset evaluation threshold value and smaller than the second preset evaluation threshold value, judging that the affected degree of the power grid system is general; and if the evaluation value is greater than or equal to the second preset evaluation threshold value and is smaller than 1, judging that the affected degree of the power grid system is serious.
Dividing according to the influence degree of stray current on a power grid system of a target evaluation area, and presetting a first evaluation threshold lambda 1 And a second preset evaluation threshold lambda 2 And lambda is 1 <λ 2 . Planned number of subway lines N in the T-th year of future expected time T And inputting the result into an influence degree evaluation model, wherein the obtained evaluation value is Z.
If 0 < Z < lambda 1 The influence degree of the current subway stray current increment on the transformer substation in the power grid system is slight. If lambda is 1 ≤Z<λ 2 The influence degree of the current subway stray current increment on the transformer substation in the power grid system is generally represented. If lambda is 2 Z is less than or equal to 1, and the influence degree of the current subway stray current increment on the transformer substation in the power grid system is serious.
In the embodiment, the evaluation level is constructed and divided into three division levels, and the affected degree level is determined based on the evaluation value, so that a user can obtain an affected degree result directly, and the evaluation speed is improved.
As shown in fig. 3, in an exemplary embodiment, a method for evaluating the impact level of a power grid system includes the steps of:
s302, a subway network and a power grid system of a target evaluation area are obtained; the subway network comprises a subway topological structure and the number of stations, and the power grid system comprises a power grid topological structure and the number of main transformers with neutral points grounded.
S304, constructing a subway power grid model according to the subway topological structure, the power grid topological structure and the electric connection relation between the subway network and the power grid system, and assigning values to parameters of the subway power grid model;
s306, determining node voltages of all nodes in the subway power grid model, and determining neutral point currents of all transformers based on all node voltages and corresponding transformer winding resistances;
s308, constructing a main-transformer direct-current magnetic bias probability index according to the quantity and the main variable quantity of neutral point currents larger than a preset current threshold value.
S310, acquiring a longitude range, a latitude range and soil resistivity of a target evaluation area, acquiring a station longitude and latitude matrix of a subway network, and acquiring a substation longitude and latitude matrix of a power grid system;
s312, constructing a regional longitude and latitude matrix of the target evaluation region according to the longitude range and the latitude range, and constructing a grounding node matrix according to the longitude and latitude matrix of the station and the longitude and latitude matrix of the transformer substation;
s314, constructing a node voltage matrix based on the node voltage of each node, and determining leakage current of each grounding point of the power grid system based on the node voltage matrix and the corresponding grounding resistance;
s316, constructing a distance matrix based on the distances between each element in the regional longitude and latitude matrix and each element in the grounding node matrix;
And S318, constructing a ground potential matrix according to the soil resistivity, the leakage current and the distance matrix, and obtaining the ground potential values of the target evaluation interval at different longitude and latitude positions based on the ground potential matrix.
S320, constructing a ground potential influence index according to the number of ground potential values larger than a preset ground potential threshold value, the number of main transformers and the number of stations.
S322, obtaining the number N of subway lines at the current moment; wherein N is a positive integer; calculating probability values of the number of subway lines from 1 to N according to the main transformer direct current magnetic bias probability indexes to obtain a probability evaluation matrix, and constructing a probability evaluation function based on the probability evaluation matrix;
s324, calculating each ground potential value of the number of subway lines from 1 to N according to the ground potential influence indexes to obtain a ground potential evaluation matrix, and constructing a ground potential evaluation function based on the ground potential evaluation matrix;
s326, constructing an influence degree evaluation model according to the probability evaluation function and the ground potential evaluation function, and determining weights of the probability evaluation function and the ground potential evaluation function.
S328, the number of subway lines at the expected moment is obtained and is input into an influence degree evaluation model to obtain an evaluation value;
s330, constructing an evaluation grade, and evaluating the affected degree of the power grid system of the target evaluation area according to the evaluation value based on the evaluation grade to obtain an evaluation result.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a power grid system affected degree evaluation device for realizing the power grid system affected degree evaluation method. The implementation scheme of the device for solving the problem is similar to that described in the method, so the specific limitation in the embodiment of the device for evaluating the degree of influence of one or more power grid systems provided below can be referred to the limitation of the method for evaluating the degree of influence of the power grid systems hereinabove, and will not be repeated here.
In an exemplary embodiment, as shown in fig. 4, there is provided a power grid system influence degree assessment apparatus 400, including: a parameter acquisition module 402, a subway power grid model construction module 404, an evaluation model construction module 406, an evaluation value determination module 408 and an evaluation result determination module 410, wherein:
a parameter obtaining module 402, configured to obtain a subway network and a power grid system in a target evaluation area; the subway network comprises a subway topological structure, and the power grid system comprises a power grid topological structure.
The subway power grid model construction module 404 is configured to construct a subway power grid model according to a subway topology structure, a power grid topology structure and an electrical connection relationship between a subway network and a power grid system, and assign a value to parameters of the subway power grid model.
The evaluation model construction module 406 is configured to construct a main transformer direct current magnetic bias probability index and a ground potential influence index according to the subway power grid model, and construct an influence degree evaluation model about the number of subway lines based on the main transformer direct current magnetic bias probability index and the ground potential influence index.
The evaluation value determining module 408 is configured to obtain the number of subway lines at the expected time, and input the number of subway lines to the influence degree evaluation model to obtain an evaluation value.
The evaluation result determining module 410 is configured to construct an evaluation grade, and evaluate the affected degree of the power grid system in the target evaluation area according to the evaluation value based on the evaluation grade, so as to obtain an evaluation result.
In one embodiment, the power grid system further includes a main transformer number with a neutral point grounded; the evaluation model construction module 406 is specifically configured to: determining node voltages of all nodes in the subway power grid model, and determining neutral point currents of all transformers based on the node voltages and corresponding transformer winding resistances; and constructing a main-change direct-current magnetic bias probability index according to the number of neutral point currents larger than a preset current threshold value and the main variable number.
In one embodiment, the subway network includes a number of stops; the evaluation model construction module 406 is specifically configured to: acquiring a longitude range, a latitude range and soil resistivity of a target evaluation area, acquiring a station longitude and latitude matrix of a subway network, and acquiring a substation longitude and latitude matrix of a power grid system; constructing a regional longitude and latitude matrix of a target evaluation region according to the longitude range and the latitude range, and constructing a grounding node matrix according to the longitude and latitude matrix of the station and the longitude and latitude matrix of the transformer substation; determining the ground potential value of each longitude and latitude of the target evaluation area according to the longitude and latitude matrix of the area, the soil resistivity, the voltage of each node and the grounding node matrix; and constructing a ground potential influence index according to the number of ground potential values larger than a preset ground potential threshold value and the total element amount of the regional longitude and latitude matrix.
In one embodiment, the evaluation model construction module 406 is specifically configured to: constructing a node voltage matrix based on node voltages of all nodes, and determining leakage current of all grounding points of the power grid system based on the node voltage matrix and corresponding grounding resistance; constructing a distance matrix based on the distances between each element in the regional longitude and latitude matrix and each element in the grounding node matrix; and constructing a ground potential matrix according to the soil resistivity, the leakage current and the distance matrix, and obtaining ground potential values of the target evaluation interval at different longitude and latitude positions based on the ground potential matrix.
In one embodiment, the evaluation model construction module 406 is specifically configured to: acquiring the number N of subway lines at the current moment; wherein N is a positive integer; calculating probability values of the number of subway lines from 1 to N according to the main transformer direct current magnetic bias probability indexes to obtain a probability evaluation matrix, and constructing a probability evaluation function based on the probability evaluation matrix; calculating each ground potential value of the number of subway lines from 1 to N according to the ground potential influence indexes to obtain a ground potential evaluation matrix, and constructing a ground potential evaluation function based on the ground potential evaluation matrix; and constructing an influence degree evaluation model according to the probability evaluation function and the ground potential evaluation function, and determining weights of the probability evaluation function and the ground potential evaluation function.
In one embodiment, the evaluation result determining module 410 is specifically configured to: acquiring a first preset evaluation threshold and a second preset evaluation threshold, and constructing an evaluation grade; assessment scale includes mild, general and severe; if the evaluation value is larger than 0 and smaller than a first preset evaluation threshold value, judging that the affected degree of the power grid system is slight; if the evaluation value is larger than or equal to the first preset evaluation threshold value and smaller than the second preset evaluation threshold value, judging that the affected degree of the power grid system is general; and if the evaluation value is greater than or equal to the second preset evaluation threshold value and is smaller than 1, judging that the affected degree of the power grid system is serious.
The respective modules in the above-described power grid system influence degree evaluation device may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one exemplary embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing subway network and power grid system data. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method for evaluating the degree of influence of a power grid system.
It will be appreciated by those skilled in the art that the structure shown in fig. 5 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. A method for evaluating the impact of a power grid system, the method comprising:
obtaining a subway network and a power grid system of a target evaluation area; the subway network comprises a subway topological structure, and the power grid system comprises a power grid topological structure;
constructing a subway power grid model according to the subway topological structure, the power grid topological structure and the electric connection relation between the subway network and the power grid system, and assigning values to parameters of the subway power grid model;
Constructing a main-transformer direct-current magnetic bias probability index and a ground potential influence index according to the subway power grid model, and constructing an influence degree evaluation model about the number of subway lines based on the main-transformer direct-current magnetic bias probability index and the ground potential influence index;
the number of subway lines at the expected moment is obtained and is input into the influence degree evaluation model to obtain an evaluation value;
and constructing an evaluation grade, and evaluating the affected degree of the power grid system of the target evaluation area according to the evaluation value based on the evaluation grade to obtain an evaluation result.
2. The method of claim 1, wherein the grid system further comprises a number of main transformers with neutral points grounded; the construction of the main transformer direct current magnetic bias probability index according to the subway power grid model comprises the following steps:
determining node voltages of all nodes in the subway power grid model, and determining neutral point currents of all transformers based on all node voltages and corresponding transformer winding resistances;
and constructing the main-transformer direct-current magnetic bias probability index according to the quantity of the neutral point current larger than a preset current threshold value and the main variable quantity.
3. The method of claim 2, wherein the subway network comprises a number of stations; the construction process of the ground potential influence index comprises the following steps:
Acquiring a longitude range, a latitude range and soil resistivity of the target evaluation area, acquiring a station longitude and latitude matrix of the subway network, and acquiring a substation longitude and latitude matrix of the power grid system;
constructing a regional longitude and latitude matrix of the target evaluation region according to the longitude range and the latitude range, and constructing a grounding node matrix according to the station longitude and latitude matrix and the substation longitude and latitude matrix;
determining the ground potential value of each longitude and latitude of the target evaluation area according to the longitude and latitude matrix of the area, the soil resistivity, each node voltage and the grounding node matrix;
and constructing the ground potential influence index according to the number of ground potential values larger than a preset ground potential threshold value and the total element amount of the regional longitude and latitude matrix.
4. A method according to claim 3, wherein said determining the ground potential value for each latitude and longitude of the target evaluation area from the area latitude and longitude matrix, the soil resistivity, each node voltage, and the ground node matrix comprises:
constructing a node voltage matrix based on node voltages of all nodes, and determining leakage current of all grounding points of the power grid system based on the node voltage matrix and corresponding grounding resistance;
Constructing a distance matrix based on the distance between each element in the regional longitude and latitude matrix and each element in the grounding node matrix;
and constructing a ground potential matrix according to the soil resistivity, the leakage current and the distance matrix, and obtaining ground potential values of the target evaluation interval at different longitude and latitude positions based on the ground potential matrix.
5. The method according to claim 1, wherein the constructing an influence degree evaluation model concerning the number of subway lines based on the main-transformer dc bias probability index and the ground potential influence index includes:
acquiring the number N of subway lines at the current moment; wherein N is a positive integer;
calculating probability values of the number of subway lines from 1 to N according to the main transformer direct current magnetic bias probability index to obtain a probability evaluation matrix, and constructing a probability evaluation function based on the probability evaluation matrix;
calculating each ground potential value of the number of subway lines from 1 to N according to the ground potential influence indexes to obtain a ground potential evaluation matrix, and constructing a ground potential evaluation function based on the ground potential evaluation matrix;
and constructing an influence degree evaluation model according to the probability evaluation function and the ground potential evaluation function, and determining weights of the probability evaluation function and the ground potential evaluation function.
6. The method according to any one of claims 1 to 5, wherein the constructing an evaluation level, based on the evaluation level, evaluates the degree of influence of the grid system of the target evaluation area according to the evaluation value, and obtains an evaluation result, includes:
acquiring a first preset evaluation threshold and a second preset evaluation threshold, and constructing an evaluation grade; the evaluation scale includes mild, general and severe;
if the evaluation value is greater than 0 and smaller than the first preset evaluation threshold value, judging that the affected degree of the power grid system is slight;
if the evaluation value is larger than or equal to the first preset evaluation threshold value and smaller than the second preset evaluation threshold value, judging that the affected degree of the power grid system is general;
and if the evaluation value is greater than or equal to the second preset evaluation threshold value and is smaller than 1, judging that the affected degree of the power grid system is serious.
7. An apparatus for evaluating the impact of a power grid system, the apparatus comprising:
the parameter acquisition module is used for acquiring a subway network and a power grid system of the target evaluation area; the subway network comprises a subway topological structure, and the power grid system comprises a power grid topological structure;
The subway power grid model construction module is used for constructing a subway power grid model according to the subway topological structure, the power grid topological structure and the electric connection relation between a subway network and a power grid system, and assigning values to parameters of the subway power grid model;
the evaluation model construction module is used for constructing a main-transformer direct-current magnetic bias probability index and a ground potential influence index according to the subway power grid model, and constructing an influence degree evaluation model about the number of subway lines based on the main-transformer direct-current magnetic bias probability index and the ground potential influence index;
the evaluation value determining module is used for obtaining the number of subway lines at the expected moment, and inputting the number of subway lines into the influence degree evaluation model to obtain an evaluation value;
and the evaluation result determining module is used for constructing an evaluation grade, and evaluating the affected degree of the power grid system of the target evaluation area according to the evaluation value based on the evaluation grade to obtain an evaluation result.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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