CN116451505B - Power distribution network line parameter checking method, system, equipment and medium - Google Patents
Power distribution network line parameter checking method, system, equipment and medium Download PDFInfo
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Abstract
The application belongs to the technical field of power distribution network parameter checking, and discloses a power distribution network line parameter checking method, a system, equipment and a medium, wherein the method comprises the following steps: acquiring original data of a power distribution network based on a preset time period; based on the obtained power distribution network original data, solving a pre-constructed parameter initial checking model to obtain a conductance matrix and a susceptance matrix initial value; based on the obtained initial values of the conductance matrix and the susceptance matrix, solving a pre-constructed parameter fine checking model to obtain a fine checked conductance value and susceptance value; and checking the data to be checked of the power distribution network based on the acquired conductance value and susceptance value after the fine check. According to the application, under the condition that the system phase angle information is unknown, accurate check of the power distribution network line parameters can be realized by utilizing the measurement data which can be obtained by the system; in addition, the method has strong interpretability and can improve the transparent perception level of the power distribution network parameters.
Description
Technical Field
The application belongs to the technical field of power distribution network parameter checking, and particularly relates to a power distribution network line parameter checking method, a power distribution network line parameter checking system, power distribution network line parameter checking equipment and a power distribution network line parameter checking medium.
Background
In recent years, as the construction of novel power systems is deepened continuously, a large amount of distributed new energy sources, electric vehicles, mobile energy storage and the like are connected into a power grid, the complexity of a grid structure is increased, and a power distribution network with weak grid and low automation level faces a more serious safe and stable operation risk. In order to cope with the source-load dual complex uncertainty, ensure the safe, reliable and stable power supply of the system, the running state of the system needs to be researched and judged in real time, and state estimation, re-overload analysis, network topology reconstruction and the like are carried out, wherein the upper-layer business application depends on accurate system network parameters. However, most of the previous power distribution networks only adopt an offline mode to store the static parameters of the circuit, but the parameters of the circuit can be changed along with the aging of the circuit, the change of the ambient air temperature, the maintenance of the circuit and the like; in addition, the conditions of line parameter deficiency, human input error and the like exist, and great inconvenience is brought to the application of upper-layer business. Therefore, the power distribution network line parameter checking has important significance for realizing the transparency of system parameters and supporting the upper business application of the power distribution network.
Further specifically explaining, the current power distribution network line parameter checking and researching work still has the following technical difficulties, including:
1) Compared with the deployment mode of the measurement device fully covered by the main network, the distribution network has wide multiple sides, is limited by investment and operation and maintenance costs, the synchronous phasor measurement device (Phasor Measurement Unit, PMU) in the distribution network is limited in deployment, and the phase angle information of each node of the system is difficult to acquire, so that the PMU-based system is based onThe parameter identification method of PMU measurement information cannot be applied in practice;
2) Based on a pure data driving parameter identification model of the multi-layer neural network, the trust of service personnel is difficult to obtain in practical engineering application due to the non-interpretability of the model;
therefore, a technical scheme for accurately checking the parameters of the power distribution network line by using the measurement data acquired by the system under the condition that the system phase angle information is unknown is needed.
Disclosure of Invention
The application aims to provide a method, a system, equipment and a medium for checking power distribution network line parameters, so as to solve one or more of the technical problems. According to the technical scheme provided by the application, under the condition that the system phase angle information is unknown, accurate check of the power distribution network line parameters can be realized by utilizing the measurement data which can be obtained by the system; in addition, the method has strong interpretability and can improve the transparent perception level of the power distribution network parameters.
In order to achieve the above purpose, the application adopts the following technical scheme:
the application provides a power distribution network line parameter checking method, which comprises the following steps:
acquiring original data of a power distribution network based on a preset time period; the power distribution network original data comprise active power, reactive power and voltage amplitude of each load node of a plurality of continuous time sections;
based on the obtained power distribution network original data, solving a pre-constructed parameter initial checking model to obtain a conductance matrix and a susceptance matrix initial value;
based on the obtained initial values of the conductance matrix and the susceptance matrix, solving a pre-constructed parameter fine checking model to obtain a fine checked conductance value and susceptance value;
and checking the data to be checked of the power distribution network based on the acquired conductance value and susceptance value after the refined check to acquire a power distribution network line parameter checking result.
The method is further improved in that in the parameter initial checking model, the circuitThe conductance and susceptance optimal solution of (c) is expressed as,
，/>；
in the method, in the process of the application,、/>respectively represent the lines->Is a conductivity, susceptance of (a); />、/>、/>Respectively represent node->The active power, reactive power and voltage amplitude of the injection; />、/>Respectively representing numbers at two ends of the line; n represents the total number of nodes.
The method is further improved in that the objective function expression of the parameter refinement checking model is as follows,
；
in the method, in the process of the application,and->Respectively represent node->Active unbalanced power and reactive unbalanced power of (a); />And->Respectively represent node->Injecting actual measurement values of active power and reactive power; />Representing the phase angle difference at the two ends of the line.
The method is further improved in that in the step of solving the pre-constructed parameter refinement check model,
solving by adopting a trusted area reflection method or a Levenberg-Marquardt algorithm.
The method is further improved in that the step of solving the pre-constructed parameter refinement check model comprises the following steps:
solving by adopting a trust domain reflection method; wherein,,
the conductance, susceptance and phase angle difference at two ends of each line are set as solving variables, the calculation formulas of all parts in the Jacobian matrix are as follows,
；
the solving conditions of the parameter refinement checking model comprise that the obtained initial values of the conductance matrix and the susceptance matrix are used as the initial values of the refinement checking stage variablesAnd->Phase angle difference of two ends of each line of the system>Is 0; the upper and lower boundaries of a preset solving variable are preset; and (5) presetting a model convergence condition.
The method is further improved in that the step of checking the data to be checked of the power distribution network based on the acquired conductance value and susceptance value after the fine check to acquire a power distribution network line parameter checking result comprises the following steps:
calculating and obtaining the length, the sectional area and the type of the lead based on the conductance value and the susceptance value after the fine verification;
and checking the length, the sectional area and the type of the lead in the pre-acquired data to be checked based on the calculated length, the sectional area and the type of the lead, and obtaining a checking result of the circuit parameters of the power distribution network.
The application provides a power distribution network line parameter checking system, which comprises:
the data acquisition module is used for acquiring original data of the power distribution network based on a preset time period; the power distribution network original data comprise active power, reactive power and voltage amplitude of each load node of a plurality of continuous time sections;
the initial checking module is used for solving a pre-constructed parameter initial checking model based on the acquired power distribution network original data to obtain a conductance matrix and a susceptance matrix initial value;
the fine checking module is used for solving a pre-constructed parameter fine checking model based on the obtained initial values of the conductance matrix and the susceptance matrix to obtain a fine checked conductance value and a fine checked susceptance value;
and the result acquisition module is used for checking the data to be checked of the power distribution network based on the acquired fine checked conductance value and susceptance value to acquire a power distribution network line parameter checking result.
The system of the application is further improved in that in the parameter initial checking model of the initial checking module, the circuit isThe conductance and susceptance optimal solution of (c) is expressed as,
，/>；
in the method, in the process of the application,、/>respectively represent the lines->Is a conductivity, susceptance of (a); />、/>、/>Respectively represent node->The active power, reactive power and voltage amplitude of the injection; />、/>Respectively representing numbers at two ends of the line; n represents the total number of nodes.
The system of the application is further improved in that the objective function expression of the parameter refinement checking model of the refinement checking module is that,
；
in the method, in the process of the application,and->Respectively represent node->Active unbalanced power and reactive unbalanced power of (a); />And->Respectively representNode->Injecting actual measurement values of active power and reactive power; />Representing the phase angle difference at the two ends of the line.
The system of the application is further improved in that in the fine checking module, in the step of solving the pre-constructed parameter fine checking model,
solving by adopting a trusted area reflection method or a Levenberg-Marquardt algorithm.
The system of the application is further improved in that, in the fine checking module, the step of executing the solution of the pre-constructed parameter fine checking model comprises the following steps:
solving by adopting a trust domain reflection method; wherein,,
the conductance, susceptance and phase angle difference at two ends of each line are set as solving variables, the calculation formulas of all parts in the Jacobian matrix are as follows,
；
the solving conditions of the parameter refinement checking model comprise that the obtained initial values of the conductance matrix and the susceptance matrix are used as the initial values of the refinement checking stage variablesAnd->Phase angle difference of two ends of each line of the system>Is 0; the upper and lower boundaries of a preset solving variable are preset; and (5) presetting a model convergence condition.
The further improvement of the system of the application is that, in the result acquisition module, the step of performing verification on the data to be verified of the power distribution network based on the obtained conductance value and susceptance value after the refined verification to obtain the power distribution network line parameter verification result comprises the following steps:
calculating and obtaining the length, the sectional area and the type of the lead based on the conductance value and the susceptance value after the fine verification;
and checking the length, the sectional area and the type of the lead in the pre-acquired data to be checked based on the calculated length, the sectional area and the type of the lead, and obtaining a checking result of the circuit parameters of the power distribution network.
An electronic device provided in a third aspect of the present application includes:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the power distribution network line parameter checking method according to any one of the first aspects of the present application.
A fourth aspect of the present application provides a computer readable storage medium storing a computer program, which when executed by a processor implements the power distribution network line parameter checking method according to any one of the first aspect of the present application.
Compared with the prior art, the application has the following beneficial effects:
the application provides a power distribution network line parameter checking method, in particular to a two-stage power distribution network line parameter checking method based on data knowledge fusion; firstly, solving a parameter initialization checking model to obtain an initial checking stage result; secondly, taking the initial checking stage result as an initial value, solving a parameter refinement checking model, and obtaining line conductance and susceptance refinement parameters; and finally, obtaining an accurate checking result of the power distribution network line parameters. Further illustratively, the line ledger information can be accurately checked based on the line parameter identification result, so that more accurate basic parameters can be provided for upper-layer business application.
According to the application, the system node voltage phase angle information acquired by the PMU is not needed, and the circuit parameters can be solved and the system voltage phase angle information can be recovered by only utilizing the node active power, reactive power and voltage amplitude information. Compared with the traditional linear regression-based method, the method realizes fine checking of the line parameters by constructing the nonlinear checking model of the line parameters, and has higher checking precision. Compared with a pure data driving method such as a multi-layer radial basis function network, the method adopts a data and knowledge combined driving method, and the model has higher interpretation and transparency.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following description of the embodiments or the drawings used in the description of the prior art will make a brief description; it will be apparent to those of ordinary skill in the art that the drawings in the following description are of some embodiments of the application and that other drawings may be derived from them without undue effort.
Fig. 1 is a schematic flow chart of a method for checking parameters of a power distribution network line according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a power distribution network line parameter checking method based on data knowledge fusion in an embodiment of the application;
FIG. 3 is a schematic diagram of a part of line parameter identification results according to an embodiment of the present application;
fig. 4 is a schematic diagram of a power distribution network line parameter checking system according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The application is described in further detail below with reference to the attached drawing figures:
referring to fig. 1, the method for checking the parameters of the power distribution network according to the embodiment of the application includes the following steps:
step 1, acquiring original data of a power distribution network based on a preset time period; the power distribution network original data comprise active power, reactive power and voltage amplitude of each load node of a plurality of continuous time sections; the method is particularly explanatory, the system node voltage phase angle information acquired by the PMU is not needed, the line parameters can be solved by only utilizing the node active power, reactive power and voltage amplitude information, and the system voltage phase angle information is recovered;
step 2, solving a parameter initial checking model based on the power distribution network original data obtained in the step 1, and obtaining a conductance matrix and a susceptance matrix initial value;
step 3, solving a parameter fine checking model based on the initial values of the conductance matrix and the susceptance matrix obtained in the step 2, and obtaining a fine checked conductance value and susceptance value;
and 4, checking the data to be checked of the power distribution network based on the refined checked conductance value and susceptance value obtained in the step 3, and obtaining a power distribution network line parameter checking result.
The embodiment of the application provides a power distribution network line parameter checking method, in particular to a two-stage power distribution network line parameter checking method based on data knowledge fusion; firstly, solving a parameter initialization checking model to obtain an initial checking stage result; secondly, taking the initial checking stage result as an initial value, solving a parameter refinement checking model, and obtaining line conductance and susceptance refinement parameters; and finally, obtaining an accurate checking result of the power distribution network line parameters. Further illustratively, the line ledger information can be accurately checked based on the line parameter identification result, so that more accurate basic parameters can be provided for upper-layer business application. The data knowledge fusion is interpreted as embedding domain knowledge/rules/experience in a pure data driving model to form a data and knowledge combined driving mode.
In a further preferred technical solution of the embodiment of the present application, in the parameter initial checking model in step 2, the lineIs expressed as, < >>，/>；
In the method, in the process of the application,、/>respectively represent the lines->Is a conductivity, susceptance of (a); />、/>、/>Respectively represent node->The active power, reactive power and voltage amplitude of the injection; />、/>Respectively representing numbers at two ends of the line; n represents the total number of nodes.
In particular exemplary, to ensure accuracy of line parameter initial value calculation, use is made of the acquired successionmThe system operation data of each time section is obtained by solving the parameter initial checking model constructed by the embodiment:
。
in a further preferred technical scheme of the embodiment of the present application, the objective function expression of the parameter refinement check model in step 3 is:
；
wherein:and->Respectively represent node->Active unbalanced power and reactive unbalanced power of (a); />And->Respectively represent sectionsPoint->Injecting actual measurement values of active power and reactive power; />Representing the phase angle difference at two ends of the line; n represents the total number of nodes.
Illustratively, the objective function of the model is to solve a set of system line parameter conductance matricesAnd susceptance matrix->So that the sum of the active unbalanced power and the reactive unbalanced power of the whole system is minimized. Compared with the traditional linear regression-based method, the method and the device for carrying out the fine check on the line parameters have the advantages that the line parameters are subjected to the fine check through constructing the nonlinear check model of the line parameters, and the check precision is higher.
In the solving process, the conductance, susceptance and phase angle difference at two ends of each line are set as solving variables; the calculation formula of each part in the Jacobian matrix is as follows:
；
in the solving process, the set solution conditions of the refined checking model specifically can include:
1) Setting an initial value of a model solving variable; wherein, the conductance matrix of each line of the system obtained by solving the initial checking stage of the line parametersAnd susceptance matrix->Initial value +.>And->Phase angle difference at two ends of each line of the system>Its initial value is 0;
2) Setting upper and lower boundaries of model solving variables; wherein exemplary conductance values for each lineThe values are negative numbers, so the upper and lower bounds are set as the initial calculated value [0.7,1.3 ]]The method comprises the steps of carrying out a first treatment on the surface of the Susceptance value per line->All are positive numbers, the upper and lower bounds are set to the initial calculated value [0.7,1.3 ]]；
3) Setting a model convergence condition; wherein the model convergence criterion illustratively includes a maximum number of iterationsTwo adjacent iteration loss function variation>Independent variable variation->Gradient change->. The application is provided with->、、/>、/>When the model is iteratingAnd when any convergence criterion is met in the process, the model is considered to reach a convergence condition, and the iteration process is automatically exited.
Further explanation of the above preferred technical solutions of the embodiments of the present application,
(1) In the line parameter fine checking model, the conductance of each line is usedSusceptance->And phase angle difference at two ends of the line>To solve for the variables, the phase angle difference at both ends of the line can be +.>Instead of the phase angle of each node of the system>；
(2) The method for setting the upper and lower boundaries of the solution variables in the line parameter refinement check model can be changed, for example, according to the conductance obtained by calculation of the line parameter initial check modelSetting can be performed by +.>Respectively set as upper and lower bounds of line conductance parameters, phase angle difference of two ends of line +.>The upper and lower bounds of (2) can be further narrowed;
(3) The convergence condition setting method of the line parameter refinement check model can be changed, for example, the numerical value of each parameter can be modified, or only partial convergence criteria are reserved.
The embodiment of the application is further specifically exemplified, and in the step 4, the length and the type of the wire can be obtained by calculation based on the conductance value and the susceptance value after the fine verification, and then the length, the sectional area and the type of the wire in the data to be verified are verified, so that a verification result is obtained.
In summary, in the technical scheme provided by the embodiment of the application, aiming at the problems of line ledger information errors and missing caused by line aging, environmental temperature change, line maintenance and the like of a power distribution network, the application particularly provides a power distribution network line parameter checking method based on data knowledge fusion, which can utilize intelligent ammeter measurement data of multiple time sections to finely identify line conductance and susceptance parameters by constructing a two-stage parameter identification model under the condition of unknown phase angle; based on the calculated line parameters, checking static line account information of the distribution network stored in the PMS system of the power grid, and guiding operation staff of the distribution network to timely conduct on-site checking and updating on line types, sectional areas, lengths and the like of abnormal lines. Further illustratively, the method can provide correct parameter information for upper-layer business applications such as power flow calculation and state estimation of a power distribution network foundation, weak link analysis, line loss analysis, fault early warning and the like, reduce the risk of influencing the optimal operation decision of the power distribution network due to calculation deviation caused by parameter errors, and have larger engineering application value and popularization prospect.
Referring to fig. 2, in still another embodiment of the present application, a method for checking parameters of a distribution network line based on data knowledge fusion is provided, which specifically includes the following steps:
(S1) constructing a topology, screening data samples, comprising:
1) Constructing a power distribution network system model and parameters, wherein the power distribution network system model and parameters comprise system topology structure information, node information, load information and line parameters;
further exemplary, among others, may include,
1-1) completing the construction of a network topology of a power distribution network according to a distribution network model file and node information;
1-2) calculating line parameters such as line resistance, reactance and the like according to the standing account information; and obtaining all load access conditions of the nodes according to the node information and the model file.
2) Based on a power distribution network system model, screening data from a dispatching system, a distribution network automation system and a mining system to obtain the active power, reactive power and voltage amplitude of all nodes of the system;
further exemplary, among others, may include,
2-1) generating a matrix using a random matrix generation methodAThe system is used for counting the load value of each node of the system; matrix arrayAIncludedmRow of linesnColumns in whichmThe number of time sections contained in the time period is represented, the time section interval can be 15 minutes,nrepresenting the number of nodes contained in the system;
2-2) construction with random matrix A based on raw load information in a distribution network system modelmActive power, reactive power and voltage of each load node of the system at successive moments;
2-3) respectively taking the active power of each node of the system at each momentReactive power->And voltage amplitude->The method comprises the steps of carrying out a first treatment on the surface of the Wherein the method comprises the steps ofiRepresenting the system node numbers, and further forming the system full-node active power vectors respectively>Reactive power vector->And a voltage amplitude vector>。
(S2) constructing an initial checking model of the line parameters, which comprises the following steps:
1) The method comprises the steps that the voltage phase angle difference of two ends of a power distribution network system line is assumed to be small, and a power flow equation of the power distribution network system is simplified; for the inclusion ofnThe power flow calculation equation of the polar coordinate form of the system of the individual nodes is as follows:
（1）
in the method, in the process of the application,and->Respectively represent the numbers of two ends of the line, < > and->、/>、/>Respectively represent node->Active power, reactive power and voltage amplitude of the injection, +.>、/>、/>Respectively representing the conductance, susceptance and phase angle difference at two ends of the line;
the phase angle difference at two ends of the line is assumed to be zero, and the above formula can be simplified to obtain:
（2）
2) According to the simplified linear load flow calculation equation, the line parameter conductance is calculatedAnd susceptance->The solution of (2) is converted into a linear least square problem, and the expression is as follows:
（3）
in the method, in the process of the application,and->Lines are respectively->An approximate solution to the conductance and susceptance values; />Representing the calculated 2-norm;
for ease of representation, the variables in formula (3) are replaced, denoted:
（4）
thus, a circuit can be obtainedThe optimal solution of the conductance and susceptance values is as follows:
（5）
(S3) solving an initial verification model of the line parameters, including:
in order to ensure the calculation accuracy of the initial values of the line parameters, the continuous process constructed in the step (S1) is usedmSolving the system operation data of the time sections to obtain:
（6）
(S4) constructing a line parameter refinement check model, which comprises the following steps:
1) In order to avoid the problems that the least square cannot converge and the power of part of nodes cannot be measured, the present line parameters are subjected to fine checking, and a fine correction model is constructed, wherein the method comprises the following steps:
under the condition of considering the voltage phase angles of all nodes of the system, the refined correction model is a nonlinear programming problem, and the expression is:
（7）
in the method, in the process of the application,and->Respectively represent node->Active unbalanced power and reactive unbalanced power, +.>And->Respectively represent node->Actual measured values of active power and reactive power are injected.
2) Determining a solution variable of an objective function, and constructing a Jacobian matrix, wherein the method comprises the following steps of:
the conductance of each line is controlledSusceptance->And the phase angle difference at the two ends of the line is set as a solution variable, and a correction equation can be obtained as follows:
（8）
in the method, in the process of the application,and->Respectively representing active unbalanced power and reactive unbalanced power of each node in the system; />、/>Representing the system conductance matrix and susceptance matrix, respectively, < >>Representing phase angle differences at two ends of each line in the system;
by usingRepresenting the jacobian matrix, namely:
（9）
taking equation (7) into equation (9), the calculation formulas of each part in the Jacobian matrix can be obtained as follows:
（10）
assume that there is a distribution network systemlA line, usingmSolving the variable when solving the system running state data of the group time sectionAnd->The number of (2) islThe variables->The number of (2) is->The total number of variables to be solved in the system isAnd each.
(S5) setting a solution condition of the refined checking model, including:
1) Setting an initial value of a model solving variable; wherein, the conductance matrix of each line of the system obtained by solving the initial checking stage of the line parametersAnd susceptance matrix->Initial value +.>And->Phase angle difference at two ends of each line of the system>Its initial value is 0.
2) Setting upper and lower boundaries of model solving variables; wherein the conductance value for each lineThe values are negative numbers, so the upper and lower bounds are set as the initial calculated value [0.7,1.3 ]]The method comprises the steps of carrying out a first treatment on the surface of the Susceptance value per line->All are positive numbers, the upper and lower bounds are set to the initial calculated value [0.7,1.3 ]]。
3) Setting a model convergence condition; wherein the model convergence criterion includes maximum iteration numberTwo adjacent iteration loss function variation>Independent variable variation->Gradient change->. In the embodiment of the application, the ∈10 is set>、/>、/>、/>When the model meets any convergence criterion in the iteration process, the model is considered to reach the convergence condition, and the iteration process is automatically exited.
(S6) solving a line parameter refinement check model based on a trust domain reflection method, which comprises the following steps: determining an objective function, an independent variable and a constraint condition when the trust zone reflection method is used for solving a line parameter fine checking model; the method is used for solving the large-scale nonlinear sparse optimization problem with the boundary, and has high robustness.
By way of example, a typical nonlinear programming problem can be described as:
；/>；/>（11）
in the method, in the process of the application,representing the variables to be solved>Representing an objective function +.>Representing equality constraints +.>Representing inequality constraints, including functional inequality or variable inequality;
the linear programming sub-problem of the nonlinear programming problem is:
；/>；/>；/>（12）
in the method, in the process of the application,indicate->The value of the argument at the time of the iteration, +.>Correction value representing argument +_>And->Representing the first and second partial derivatives of the objective function, respectively,/->Representation->Norms (F/F)>Indicate->Confidence domain radius at the time of iteration.
The basic idea of the trusted region reflection method is to determine a trusted region radius at each iteration, then calculate the minimum value of the linear programming sub-problem in the space determined by the radius, if the minimum value can sufficiently attenuate the objective function, further expand the trusted region radius, and enter the next iteration, otherwise, reduce the trusted region radius, calculate the minimum value of the linear programming sub-problem again, and iterate until the convergence condition is satisfied.
In the line parameter refined checking model researched by the embodiment of the application, the objective function is that the sum of the active unbalanced power and the reactive unbalanced power of the whole system is minimum, namely:
（13）
independent variableI.e. the conductance of each line->Susceptance->And phase angle difference at two ends of the line>；
The equation constraint condition is a system power flow equation, as shown in equation (1). Inequality constraints are the upper and lower boundaries of the argument as described in (S5);
using the succession constructed in (S1)mSolving the independent variables of the fine check model according to the system operation data of each time section, wherein the expression (8) can be expressed as follows:
（14）
at each iteration, a correction value of the variable to be calculated can be obtained, namely:
(15)
and when the iteration meets the convergence condition, the conductance value, the susceptance value and the phase angle difference at the two ends of each line of the system after fine check can be obtained, and the line material type and the check parameter information are combined.
In the embodiment of the application, the data knowledge combined driving method is adopted to realize accurate checking of the power distribution network line parameters, and compared with a pure data driving method, the model has stronger interpretation and higher transparency. In addition, a reliability domain reflection method is adopted to solve a line parameter refined check model, PMU phase angle measurement data is not needed to be relied on, and engineering floor application can be still carried out under the condition that actual power or voltage information of a power distribution network cannot be obtained.
The embodiment of the application is further explanatory, and other nonlinear programming solving algorithms can be adopted to solve the refined checking model of the line parameters, such as a Levenberg-Marquardt algorithm.
By combining with further principle explanation of actual conditions, most of power distribution networks currently store line parameters in a PMS system in an offline mode, and lack an update checking mechanism, but the parameters can change along with line aging, environmental air temperature change, line maintenance and the like, and if the update is not checked in time, the system state estimation, scheduling operation and the like can be generatedAnd the influence is large. The power distribution network line parameter checking method based on data knowledge fusion provided by the embodiment of the application can carry out fine check on line conductance and susceptance parameters under the condition of no system voltage phase angle information. The method of the embodiment of the application is obtained by first utilizing the simulationmSystem measurement data for each time slice including active power of each node of the systemReactive power->And voltage amplitude->The method comprises the steps of carrying out a first treatment on the surface of the Then under the premise of unknown system voltage phase angle, assuming that the phase angle difference at two ends of a line is zero, carrying out linearization processing on a power flow equation of a power distribution network based on an assumed condition, constructing a power distribution network line parameter initialization check model based on linear regression, converting the power distribution network line parameter initialization check model into a linear least square problem, and solving to obtain an initial value of a line conductance value and a susceptance value based on multi-time section system measurement data by adopting a model and data combined driving method; and secondly, constructing a refined checking model of the line parameters of the power distribution network by taking the minimum square sum of the integral active power and reactive power of the system as an objective function, constructing a Jacobian matrix by taking the line conductance value, the susceptance value and the phase angle difference at two ends as solution variables, and setting the initial value, the upper and lower bounds and the iterative convergence condition of the solution variables. Based on the measurement data of multiple time sections, a model and data combined driving method is adopted, a reliability domain reflection method is utilized to carry out iterative solution on line parameters, and a system voltage phase angle is recovered. To sum up. Under the condition that the system phase angle information is unknown, the technical scheme of the embodiment of the application utilizes the measurement data which can be obtained by the system to realize accurate checking of the line parameters, can improve the transparent perception level of the power distribution network parameters and supports the intelligent application research and development of upper-layer business.
Referring to fig. 3, in an embodiment of the present application, taking actual data of a certain power saving company as an example, the PMS system ledger data is fetched from the power saving data platform; taking a certain area of the provincial power distribution network as an example, 76 lines are included in total, and original account information of the lines comprises important parameters such as line names, types, lengths, sectional areas and the like. Calculating parameters of each line by using the parameter checking method provided by the embodiment of the application, converting the parameters into line resistance and reactance values, checking the line standing account information based on calculation, and checking the lengths of 5 lines with errors, wherein the number of 2 lines is found to be wrong in total, and the checking result is shown in a table 1; the partial line parameter identification result and the true value are shown in figure 3
TABLE 1 checking result of distribution network parameters in certain area
In summary, the power distribution network line parameter checking method based on data knowledge fusion provided by the embodiment of the application mainly solves the following problems in the existing method: the system node voltage phase angle information acquired by the PMU is not needed, the line parameters can be solved by only utilizing the node active power, reactive power and voltage amplitude information, and the system voltage phase angle information is recovered; compared with the traditional linear regression-based method, the method realizes fine checking of the line parameters by constructing the nonlinear checking model of the line parameters, and has higher checking precision; and compared with a pure data driving method such as a multi-layer radial basis function network, the method adopting the data and knowledge combined driving method has higher interpretation and transparency of the model.
The following are device embodiments of the present application that may be used to perform method embodiments of the present application. For details not disclosed in the apparatus embodiments, please refer to the method embodiments of the present application.
Referring to fig. 4, in still another embodiment of the present application, a power distribution network line parameter checking system is provided, including:
the data acquisition module is used for acquiring original data of the power distribution network based on a preset time period; the power distribution network original data comprise active power, reactive power and voltage amplitude of each load node of a plurality of continuous time sections;
the initial checking module is used for solving a pre-constructed parameter initial checking model based on the acquired power distribution network original data to obtain a conductance matrix and a susceptance matrix initial value;
the fine checking module is used for solving a pre-constructed parameter fine checking model based on the obtained initial values of the conductance matrix and the susceptance matrix to obtain a fine checked conductance value and a fine checked susceptance value;
and the result acquisition module is used for checking the data to be checked of the power distribution network based on the acquired fine checked conductance value and susceptance value to acquire a power distribution network line parameter checking result.
In yet another embodiment of the present application, a computer device is provided that includes a processor and a memory for storing a computer program including program instructions, the processor for executing the program instructions stored by the computer storage medium. The processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc., which are the computational core and control core of the terminal adapted to implement one or more instructions, in particular to load and execute one or more instructions within a computer storage medium to implement a corresponding method flow or a corresponding function; the processor provided by the embodiment of the application can be used for the operation of the power distribution network line parameter checking method.
In yet another embodiment of the present application, a storage medium, specifically a computer readable storage medium (Memory), is a Memory device in a computer device, for storing a program and data. It is understood that the computer readable storage medium herein may include both built-in storage media in a computer device and extended storage media supported by the computer device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also stored in the memory space are one or more instructions, which may be one or more computer programs (including program code), adapted to be loaded and executed by the processor. The computer readable storage medium herein may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. One or more instructions stored in a computer-readable storage medium may be loaded and executed by a processor to implement the corresponding steps of the method for checking power distribution network line parameters in the above embodiments.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present application and not for limiting the same, and although the present application has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the application without departing from the spirit and scope of the application, which is intended to be covered by the claims.
Claims (4)
1. The power distribution network line parameter checking method is characterized by comprising the following steps of:
acquiring original data of a power distribution network based on a preset time period; the power distribution network original data comprise active power, reactive power and voltage amplitude of each load node of a plurality of continuous time sections;
based on the obtained power distribution network original data, solving a pre-constructed parameter initial checking model to obtain a conductance matrix and a susceptance matrix initial value;
based on the obtained initial values of the conductance matrix and the susceptance matrix, solving a pre-constructed parameter fine checking model to obtain a fine checked conductance value and susceptance value;
based on the obtained fine checked conductance value and susceptance value, checking the data to be checked of the power distribution network to obtain a power distribution network line parameter checking result;
wherein,,
in the parameter initial checking model, a circuitThe conductance and susceptance optimal solution of (c) is expressed as,
，/>；
in the method, in the process of the application,、/>respectively represent the lines->Is a conductivity, susceptance of (a); />、/>、/>Respectively represent node->The active power, reactive power and voltage amplitude of the injection; />、/>Respectively representing numbers at two ends of the line; n represents the total number of nodes;
the objective function expression of the parameter refinement check model is that,
；
in the method, in the process of the application,and->Respectively represent node->Active unbalanced power and reactive unbalanced power of (a); />And->Respectively represent node->Injecting actual measurement values of active power and reactive power; />Representing the phase angle difference at two ends of the line;
the step of solving the pre-constructed parameter refinement check model comprises the following steps:
solving by adopting a trust domain reflection method; wherein,,
the conductance, susceptance and phase angle difference at two ends of each line are set as solving variables, the calculation formulas of all parts in the Jacobian matrix are as follows,
；
the solving conditions of the parameter refinement checking model comprise that the obtained initial values of the conductance matrix and the susceptance matrix are used as the initial values of the refinement checking stage variablesAnd->Phase angle difference of two ends of each line of the system>Is 0; the upper and lower boundaries of a preset solving variable are preset; a preset model convergence condition;
the step of checking the data to be checked of the power distribution network based on the obtained fine checked conductance value and susceptance value to obtain a power distribution network line parameter checking result comprises the following steps:
calculating and obtaining the length, the sectional area and the type of the lead based on the conductance value and the susceptance value after the fine verification;
and checking the length, the sectional area and the type of the lead in the pre-acquired data to be checked based on the calculated length, the sectional area and the type of the lead, and obtaining a checking result of the circuit parameters of the power distribution network.
2. A power distribution network line parameter checking system, comprising:
the data acquisition module is used for acquiring original data of the power distribution network based on a preset time period; the power distribution network original data comprise active power, reactive power and voltage amplitude of each load node of a plurality of continuous time sections;
the initial checking module is used for solving a pre-constructed parameter initial checking model based on the acquired power distribution network original data to obtain a conductance matrix and a susceptance matrix initial value;
the fine checking module is used for solving a pre-constructed parameter fine checking model based on the obtained initial values of the conductance matrix and the susceptance matrix to obtain a fine checked conductance value and a fine checked susceptance value;
the result acquisition module is used for checking the data to be checked of the power distribution network based on the acquired fine checked conductance value and susceptance value to acquire a power distribution network line parameter checking result;
wherein,,
in the parameter initial checking model of the initial checking module, a circuitThe conductance and susceptance optimal solution of (c) is expressed as,
，/>；
in the method, in the process of the application,、/>respectively represent the lines->Is a conductivity, susceptance of (a); />、/>、/>Respectively represent node->The active power, reactive power and voltage amplitude of the injection; />、/>Respectively representing numbers at two ends of the line; n represents the total number of nodes;
the objective function expression of the parameter refinement checking model of the refinement checking module is that,
；
in the method, in the process of the application,and->Respectively represent node->Active unbalanced power and reactive unbalanced power of (a); />And->Respectively represent node->Injecting actual measurement values of active power and reactive power; />Representing the phase angle difference at two ends of the line;
in the fine checking module, the step of executing the solving of the pre-constructed parameter fine checking model comprises the following steps:
solving by adopting a trust domain reflection method; wherein,,
the conductance, susceptance and phase angle difference at two ends of each line are set as solving variables, the calculation formulas of all parts in the Jacobian matrix are as follows,
；
the solving conditions of the parameter refinement checking model comprise that the obtained initial values of the conductance matrix and the susceptance matrix are used as the initial values of the refinement checking stage variablesAnd->Phase angle difference of two ends of each line of the system>Is 0; the upper and lower boundaries of a preset solving variable are preset; a preset model convergence condition;
in the result obtaining module, the step of performing verification on the data to be verified of the power distribution network based on the obtained conductance value and susceptance value after the fine verification to obtain a power distribution network line parameter verification result includes:
calculating and obtaining the length, the sectional area and the type of the lead based on the conductance value and the susceptance value after the fine verification;
and checking the length, the sectional area and the type of the lead in the pre-acquired data to be checked based on the calculated length, the sectional area and the type of the lead, and obtaining a checking result of the circuit parameters of the power distribution network.
3. An electronic device, comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the power distribution network line parameter checking method of claim 1.
4. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the power distribution network line parameter checking method of claim 1.
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