CN111293701B - Method and device for estimating sunken area of power distribution network containing distributed photovoltaic - Google Patents
Method and device for estimating sunken area of power distribution network containing distributed photovoltaic Download PDFInfo
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- CN111293701B CN111293701B CN202010207308.9A CN202010207308A CN111293701B CN 111293701 B CN111293701 B CN 111293701B CN 202010207308 A CN202010207308 A CN 202010207308A CN 111293701 B CN111293701 B CN 111293701B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
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Abstract
The application discloses a pre-estimation method for a power distribution network sunken area containing distributed photovoltaic, which comprises the following steps: acquiring line parameters and pre-estimation requirements of a power distribution network system; building a power distribution network system model containing distributed photovoltaic; collecting voltage sag parameter information in the model; determining a voltage sag parameter judgment threshold; using a voltage sag amplitude threshold value and a voltage sag duration threshold value as voltage sag judgment parameters, and estimating a first sag domain; using the voltage sag phase jump as a voltage sag judgment parameter, and estimating a second depression domain; and carrying out logical OR operation on the first sunken area and the second sunken area to obtain the sunken area of the power distribution network. The application also discloses a pre-estimation device of the power distribution network sunken area containing the distributed photovoltaic. According to the method and the device, the influence of the distributed photovoltaic on the power distribution network sunken domain under the sag amplitude, the duration and the phase jump is considered, the estimation is more accurate, and a basis can be provided for the site selection of sensitive equipment in an actual system.
Description
Technical Field
The invention relates to power quality optimization of a power system, in particular to a method and a device for estimating a sunken area of a power distribution network containing distributed photovoltaic.
Background
The voltage sag domain is an area where a fault point occurs in the power system, which causes voltage sag, so that a sensitive load at a concerned common connection point cannot normally work. In other words, a voltage sag caused by an associated fault occurring within the recess region will cause the sensitive device to fail to operate properly. If a voltage sag occurs that results from a fault outside the confines of the dimpled domain, the operation of the sensitive device is not affected.
In recent years, the rapid development of power distribution networks is realized, and in order to solve the problems of low environmental quality and energy shortage, more and more distributed photovoltaic networks are connected into the power distribution networks, but the connection of the distributed photovoltaic networks causes the voltage sag of the system to be different. If the voltage sag condition is serious, the distributed photovoltaic can be disconnected automatically, and the operation reliability of a power grid is damaged. The pit domain can be used as an important judgment basis for judging whether the voltage sag occurs to the sensitive equipment under the fault condition and a premise of comprehensive evaluation of the voltage sag, and can provide a basis for site selection of the sensitive equipment in an actual system.
In the prior art, the estimation consideration factors for the sag domain of the power distribution network are single, for example, the invention patent with the publication number of CN102790390A and the publication number of 2012.11.21 is named as "an analysis method for a voltage sag domain", and the invention patent with the publication number of CN 110532731 a and the publication number of 2019.12.3 is named as "a method for rapidly calculating a sag domain of voltage sag", which mainly consider the amplitude of voltage sag to estimate the range of the sag domain, so that the estimation accuracy for the range of the sag domain is low.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a method and a device for estimating a sag domain of a power distribution network containing distributed photovoltaic, which are used for solving the problem of low accuracy of the estimated sag domain range only by considering a voltage drop amplitude.
The technical scheme is as follows: the invention provides a method for estimating a sunken area of a power distribution network containing distributed photovoltaic, which comprises the following steps:
(1) acquiring line parameters and pre-estimation requirements of a power distribution network system;
(2) building a power distribution network system model containing distributed photovoltaic according to the line parameters;
(3) collecting voltage sag parameter information in a model, comprising: voltage sag amplitude, voltage sag duration, and voltage sag phase jump;
(4) determining a voltage sag parameter decision threshold, comprising: a voltage sag amplitude threshold, a voltage sag duration threshold, and a voltage sag phase jump threshold;
(5) the method comprises the steps that a voltage sag amplitude threshold value and a voltage sag duration threshold value are used as voltage sag judgment parameters, a fault point method is adopted, photovoltaic is accessed according to estimation requirements, critical fault points of all nodes of a circuit are obtained, and a first depression domain range corresponding to each capacity photovoltaic is estimated;
(6) taking the voltage sag phase jump as a voltage sag judgment parameter, adopting a fault point method, accessing the photovoltaic according to the estimation requirement to obtain the critical fault point of each node of the line, and estimating the range of a second sunken domain corresponding to each capacity photovoltaic;
(7) and performing logic AND operation on the first sunken area range and the second sunken area range to obtain the sunken area of the power distribution network.
Further, the line parameters in the step (1) comprise a topological structure, load parameters and distributed power sources in the power distribution network system; the estimated demand includes an estimated capacity of the input photovoltaic or an estimated location of the sensitive equipment.
Further, a power distribution network system model containing distributed photovoltaic is built by adopting PSCAD/EMTDC in the step (2), wherein the photovoltaic adopts maximum power point tracking to control the solar controller to output active power.
Further, in the step (3), information acquisition is performed by arranging synchronous vector measurement units in the power distribution network system model, the synchronous vector measurement units are uniformly distributed on line nodes in the model, and the measurement intervals and the number of the synchronous vector measurement units are adjusted according to acquisition requirements.
Further, the step (7) comprises: and performing logic AND operation on the first sunken area range and the second sunken area range to obtain the sunken area of the power distribution network.
The application also discloses device of pre-estimating of distribution network sunken area that contains distributed photovoltaic includes:
the parameter demand acquisition module is used for acquiring line parameters and pre-estimation demands of the power distribution network system;
the model building module is used for building a power distribution network system model containing distributed photovoltaic according to the line parameters;
the voltage drop information acquisition module is used for acquiring voltage sag parameter information in the model, and comprises: voltage sag amplitude, voltage sag duration, and voltage sag phase jump;
the voltage drop condition setting module is used for determining a voltage sag parameter judgment threshold value and comprises the following steps: a voltage sag amplitude threshold, a voltage sag duration threshold, and a voltage sag phase jump threshold;
the first sunken area determining module is used for taking a voltage sag amplitude threshold value and a voltage sag duration threshold value as voltage sag judging parameters, accessing the photovoltaic by adopting a fault point method according to the estimation requirement to obtain a critical fault point of each node of the line, and estimating a first sunken area range corresponding to each capacity photovoltaic;
the second sunken area determining module is used for taking the voltage sag phase jump as a voltage sag judgment parameter, accessing the photovoltaic by adopting a fault point method according to the estimation requirement to obtain a critical fault point of each node of the line, and estimating a second sunken area range corresponding to each capacity photovoltaic;
and the power distribution network sunken area generating module is used for comprehensively analyzing the first sunken area range and the second sunken area range to obtain the required power distribution network sunken area.
Furthermore, the line parameters acquired by the parameter demand module comprise a topological structure, load parameters and a distributed power supply in the power distribution network system; the estimated demand includes an estimated capacity of the input photovoltaic or an estimated location of the sensitive equipment.
Further, the model building module builds a power distribution network system model containing distributed photovoltaic by adopting PSCAD/EMTDC, wherein the photovoltaic adopts maximum power point tracking to control the solar controller to output active power.
Furthermore, the voltage drop information acquisition module acquires information by arranging synchronous vector measurement units in the power distribution network system model, the synchronous vector measurement units are uniformly distributed on line nodes in the model, and the measurement intervals and the number of the synchronous vector measurement units are adjusted according to acquisition requirements.
Further, the distribution network sunken area generating module performs logic and operation on the first sunken area range and the second sunken area range to obtain the distribution network sunken area.
Has the advantages that: compared with the prior art, the method for estimating the sunken area of the power distribution network containing the distributed photovoltaic can be used for researching the influence of the distributed photovoltaic on the sunken area of the power distribution network under the multi-factors of sag amplitude, duration and phase jump, estimating more comprehensively, enabling the estimation result to be more accurate, and meanwhile providing a basis for site selection of sensitive equipment in an actual system.
Drawings
FIG. 1 is a schematic flow chart of an estimation method according to a first embodiment of the present invention;
fig. 2 is a layout diagram of a built 34-node 10kV distribution network model and a micro synchronous phasor measurement device in the first embodiment of the present invention;
FIG. 3 is a diagram illustrating the result of a first recess region in accordance with one embodiment of the present invention;
FIG. 4 is a diagram illustrating the second recess domain results in accordance with one embodiment of the present invention;
fig. 5 is a system block diagram of a prediction device according to a second embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the following figures and examples:
example one
The invention provides a method for estimating a sunken area of a distribution network containing distributed photovoltaic, which comprises the following steps of:
s101, line parameters and pre-estimation requirements of the power distribution network system are obtained. Specifically, the line parameters include topology, load parameters and distributed power sources in the power distribution network system; the estimated demand includes an estimated capacity of the input photovoltaic or an estimated location of the sensitive equipment.
S102, a power distribution network system model containing distributed photovoltaic is built according to the line parameters. Specifically, in the embodiment, a power distribution network system model containing distributed photovoltaic is built by adopting PSCAD/EMTDC, wherein the photovoltaic adopts maximum power point tracking to control the solar controller to output active power.
S103, collecting voltage sag parameter information in the model, wherein the voltage sag parameter information comprises: voltage sag amplitude, voltage sag duration, and voltage sag phase jump.
Specifically, synchronous vector measurement units are arranged in a power distribution network system model for information acquisition, the synchronous vector measurement units are uniformly distributed on line nodes in the model, and measurement intervals and the number of the synchronous vector measurement units are adjusted according to acquisition requirements.
S104, determining a voltage sag parameter judgment threshold, including: a voltage sag amplitude threshold, a voltage sag duration threshold, and a voltage sag phase jump threshold.
S105, the voltage sag amplitude threshold value and the voltage sag duration threshold value are used as voltage sag judgment parameters, a fault point method is adopted, the photovoltaic is accessed according to the estimation requirement, the critical fault point of each node of the line is obtained, and the range of the first sunken area corresponding to each capacity photovoltaic is estimated.
And S106, the voltage sag phase jump is used as a voltage sag judgment parameter, a fault point method is adopted, the photovoltaic is accessed according to the estimation requirement, the critical fault point of each node of the line is obtained, and the range of the second sunken area corresponding to each capacity photovoltaic is estimated.
S107, comprehensively analyzing the first sunken area range and the second sunken area range to obtain the required sunken area of the power distribution network. Specifically, the first sunken area range and the second sunken area range are subjected to logical AND operation to obtain the sunken area of the power distribution network.
Simulation analysis:
as shown in fig. 2, a 10kV distribution network system with a 34-node system model is built by using PSCAD/EMTDC, the number of the micro synchrophasor measurement units arranged in step S103 is 10, the positions are uniformly distributed, and the micro synchrophasor measurement units are respectively located at nodes 800, 808, 850, 824, 854, 832, 858, 834, 848, 836.
In step S104, the voltage sag amplitude threshold is set to 0.9p.u., the voltage sag duration is set to 20ms, and the voltage sag phase jump threshold is set to plus or minus 1.5 °.
If the estimated demand 1 is that the addressing of the sensitive device is preset, for example, the addressing of the sensitive device is on the line between the node 808 and the node 812, and it is desired to obtain the photovoltaic capacity determined and input by the estimated sinking domain of the method, then:
according to step S105, the voltage sag amplitude threshold and the voltage sag duration threshold are used as voltage sag determination parameters, and the first sag domain is estimated based on the fault point method:
1) twenty single-phase earth fault points are averagely arranged on each line;
2) under the condition of not accessing distributed photovoltaic, respectively simulating each fault point: considering voltage sag with the voltage threshold value of 0.9p.u. and the duration of more than 20ms, obtaining the critical fault point of each node of the circuit;
3) under the condition of accessing 0.24MW photovoltaic, each fault point is simulated respectively: obtaining a critical fault point of each node of the circuit by voltage sag with the voltage threshold of 0.9p.u. and the duration of more than 20 ms;
4) under the condition of accessing 0.48MW photovoltaic, each fault point is simulated respectively: obtaining a critical fault point of each node of the circuit by voltage sag with the voltage threshold of 0.9p.u. and the duration of more than 20 ms;
5) under the condition of accessing 0.84MW photovoltaic, each fault point is simulated respectively: considering voltage sag with the voltage threshold value of 0.9p.u. and the duration of more than 20ms, obtaining the critical fault point of each node of the circuit;
6) under the condition that two nodes are respectively connected with 0.42MW photovoltaic, each fault point is respectively simulated: considering voltage sag with the voltage threshold value of 0.9p.u. and the duration of more than 20ms, obtaining the critical fault point of each node of the circuit;
7) the first recess domain results are graphically illustrated.
The critical failure points of the resulting line nodes for the five cases are shown in table 1.
Table 1 critical fault point of each node considering sag amplitude and duration for single-phase earth fault
The first dip domain range estimation result is shown in fig. 3, and the area surrounded by each dotted line is the dip domain range considering the voltage sag factor. Cases 1 to 5 are five cases of no photovoltaic access, 0.24MW photovoltaic access, 0.48MW photovoltaic access, 0.84MW photovoltaic access, and 0.42MW photovoltaic access to two nodes, respectively. Comparing case 1 and case 2, it can be seen that the access of the photovoltaic is reduced compared to the recessed area without the photovoltaic. Comparing the cases 2, 3 and 4, it can be seen that as the capacity of the grid-connected photovoltaic increases, the pit area is reduced, and when the photovoltaic capacity is 0.84MW, the range of the pit area is already relatively small, and only when a single-phase ground fault occurs between the 816, 824, 826 and 828 nodes, the sensitive load is affected. Comparing case 4 with case 5, it can be seen that the photovoltaic with the same capacity accessed through different nodes has smaller concave areas accessed through different nodes compared with the same node. Therefore, the problem of voltage sag can be relieved by photovoltaic access, and the probability that sensitive loads are affected by single-phase earth faults can be reduced.
The sensitive equipment address according to the estimated requirement 1 is between 808 and 812 node lines, and the photovoltaic capacity needs to be greater than 0.24MW according to the range of the first sunken region of FIG. 3; since the photovoltaic capacity of the simulation is not between 0.24MW and 0.48MW, the photovoltaic capacity should not be less than 0.48MW according to fig. 3. If further accuracy is needed, the value simulation can be continued between 0.24MW and 0.48 MW.
Based on the estimation requirement 1, the voltage sag phase jump is used as a voltage sag judgment parameter according to S106, a fault point method is adopted, the photovoltaic is accessed according to the estimation requirement, the critical fault point of each node of the line is obtained, and the range of a second sunken domain corresponding to each capacity photovoltaic is estimated:
1) twenty single-phase earth fault points are averagely arranged on each line;
2) under the condition of not accessing distributed photovoltaic, respectively simulating each fault point: the critical fault point of each node of the line is obtained by considering the voltage sag of which the phase angle threshold is plus or minus 1.5 degrees;
3) under the condition of accessing 0.24MW photovoltaic, each fault point is simulated respectively: the critical fault point of each node of the line is obtained by considering the voltage sag of which the phase angle threshold is plus or minus 1.5 degrees;
4) under the condition of accessing 0.48MW photovoltaic, each fault point is simulated respectively: the critical fault point of each node of the line is obtained by considering the voltage sag of which the phase angle threshold is plus or minus 1.5 degrees;
5) under the condition of accessing 0.84MW photovoltaic, each fault point is simulated respectively: the critical fault point of each node of the line is obtained by considering the voltage sag of which the phase angle threshold is plus or minus 1.5 degrees;
6) under the condition that two nodes are respectively connected with 0.42MW photovoltaic, each fault point is respectively simulated: the critical fault point of each node of the line is obtained by considering the voltage sag of which the phase angle threshold is plus or minus 1.5 degrees;
7) the second recess domain results are graphically illustrated.
The resulting critical failure points for the line nodes in the five cases are shown in table 2.
TABLE 2 Critical fault point of each node when considering phase jump for single-phase earth fault
The second sunken area range estimation result is shown in fig. 4, and when a single-phase ground fault occurs, under the consideration of a phase mutation factor, the sunken area range is relatively larger when a photovoltaic with 0.24MW is connected than when the photovoltaic is not connected. As the grid-tie capacity increases, the sag domain range decreases slightly, mainly on the line between nodes 812 and 814. The influence of the number of photovoltaic capacity input nodes on the second sunken area is consistent with that of the first sunken area, and for photovoltaic input with the same capacity, compared with the photovoltaic input with the same capacity accessed through unified nodes, the second sunken area accessed through different nodes is smaller, but the range of the sunken area slightly changes under the phase jump factor.
According to the second recess domain range of fig. 4, the sensitive device address of forecast demand 1 is between 808 and 812 node lines, and is located outside each second recess domain, and there is no requirement on whether the photovoltaic capacity is accessed or greater than 0.24 MW.
According to the step S107, performing logical AND operation on the first sunken area range and the second sunken area range to obtain a sunken area of the power distribution network; namely, the final power distribution network concave area is the superposition of the first concave area and the second concave area. For a specific fault point or line, if the fault point or the line is outside the first sunken area and the second sunken area, the fault point or the line is determined not to be in the final sunken area of the power distribution network; and if the fault point or the line is included in any one of the first sunken area or the second sunken area, the fault point or the line is determined to be between the final sunken areas of the power distribution network.
For projected demand 1, the sensitive equipment is addressed between 808 and 812 node lines, and although this segment of line does not require photovoltaic capacity access in the second bay, in the illustration of the first bay, the first bay will include the line instead when the accessed photovoltaic capacity is less than or equal to 0.24 MW. In other words, when the accessed photovoltaic capacity is less than or equal to 0.24MW, the 808 to 812 node lines are included in the final power distribution grid sunken area, and the working requirements of sensitive equipment cannot be met. And in combination with the second sunken area range of fig. 4, the sunken areas corresponding to each capacity photovoltaic are concentrated between 812 and 814, and in the capacity value of the simulation, the photovoltaic with the capacity not less than 0.48MW needs to be accessed, so that the sensitive equipment can be positioned outside the sunken area of the power distribution network between 808 and 812 node lines, and the sensitive equipment can normally work. If further accuracy is needed, the value simulation can be continued between 0.24MW and 0.48 MW.
If the estimated demand 2 is the estimated capacity a of the input photovoltaic, the range of the sag domain corresponding to the capacity needs to be determined so as to provide a reference for locating the sensitive equipment. In the simulation of the method, the photovoltaic capacity C is directly changed according to the method of the present application to obtain the first and second sag domains, and then the final sag domain of the distribution network is obtained, which is not described herein again.
Example two
The application also discloses a device of pre-estimating of distribution network sunken area that contains distributed photovoltaic, as shown in fig. 5, include:
a parameter requirement obtaining module 501, configured to obtain line parameters and pre-estimation requirements of the power distribution network system. The obtained line parameters comprise a topological structure, load parameters and a distributed power supply in the power distribution network system; the estimated demand includes an estimated capacity of the input photovoltaic or an estimated location of the sensitive equipment.
And the model building module 502 is used for building a power distribution network system model containing distributed photovoltaic according to the line parameters. Specifically, the model building module builds a power distribution network system model containing distributed photovoltaic by adopting PSCAD/EMTDC, wherein the photovoltaic adopts maximum power point tracking to control the solar controller to output active power.
The voltage drop information collecting module 503 is configured to collect voltage sag parameter information in the model, and includes: voltage sag amplitude, voltage sag duration, and voltage sag phase jump. Specifically, the voltage drop information acquisition module acquires information by arranging synchronous vector measurement units in a power distribution network system model, the synchronous vector measurement units are uniformly distributed on line nodes in the model, and the measurement intervals and the number of the synchronous vector measurement units can be adjusted according to acquisition requirements.
A voltage drop condition setting module 504, configured to determine a voltage sag parameter decision threshold, includes: a voltage sag amplitude threshold, a voltage sag duration threshold, and a voltage sag phase jump threshold;
a first valley region determining module 505, configured to use the voltage sag amplitude threshold and the voltage sag duration threshold as voltage sag determination parameters, access the photovoltaic according to the estimation requirement by using a fault point method, obtain a critical fault point of each node of the line, and estimate a first valley region range corresponding to each capacity photovoltaic;
a second valley region determining module 506, configured to use the voltage sag phase jump as a voltage sag determination parameter, access the photovoltaic according to the estimation requirement by using a fault point method, obtain a critical fault point of each node of the line, and estimate a second valley region range corresponding to each capacity photovoltaic;
and the distribution network sunken area generating module 507 comprehensively analyzes the first sunken area range and the second sunken area range to obtain the required distribution network sunken area. Specifically, the distribution network concave region generating module 507 performs a logical and operation on the first concave region range and the second concave region range to obtain a distribution network concave region.
As will be appreciated by one skilled in the art, 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 flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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.
Claims (8)
1. A prediction method for a power distribution network sunken region containing distributed photovoltaic is characterized by comprising the following steps:
(1) acquiring line parameters and pre-estimation requirements of a power distribution network system;
(2) building a power distribution network system model containing distributed photovoltaic according to the line parameters;
(3) collecting voltage sag parameter information in a model, comprising: voltage sag amplitude, voltage sag duration, and voltage sag phase jump;
(4) determining a voltage sag parameter decision threshold, comprising: a voltage sag amplitude threshold, a voltage sag duration threshold, and a voltage sag phase jump threshold;
(5) the method comprises the steps that a voltage sag amplitude threshold value and a voltage sag duration threshold value are used as voltage sag judgment parameters, a fault point method is adopted, photovoltaic is accessed according to estimation requirements, critical fault points of all nodes of a circuit are obtained, and a first depression domain range corresponding to each capacity photovoltaic is estimated;
(6) the voltage sag phase jump is used as a voltage sag judgment parameter, a fault point method is adopted, the photovoltaic is accessed according to the estimation requirement, the critical fault point of each node of the line is obtained, and the range of a second sunken area corresponding to each capacity photovoltaic is estimated;
(7) and performing logic AND operation on the first sunken area range and the second sunken area range to obtain the sunken area of the power distribution network.
2. The method of claim 1, wherein the line parameters in step (1) include topology, load parameters, and distributed power sources in the power distribution grid system; the estimated demand includes an estimated capacity of input photovoltaic or an estimated location of sensitive equipment.
3. The method according to claim 1, wherein PSCAD/EMTDC is used in step (2) to build a power distribution network system model containing distributed photovoltaic, wherein the photovoltaic adopts maximum power point tracking to control the solar controller to output active power.
4. The method according to claim 1, wherein in step (3), information collection is performed by arranging synchronous vector measurement units in the power distribution network system model, wherein the synchronous vector measurement units are uniformly distributed on line nodes in the model, and the measurement intervals and the number of the synchronous vector measurement units are adjusted according to collection requirements.
5. The utility model provides a distribution network sunken area that contains distributed photovoltaic predicts device which characterized in that includes:
the parameter demand acquisition module is used for acquiring line parameters and pre-estimation demands of the power distribution network system;
the model building module is used for building a power distribution network system model containing distributed photovoltaic according to the line parameters;
the voltage drop information acquisition module is used for acquiring voltage sag parameter information in the model, and comprises: voltage sag amplitude, voltage sag duration, and voltage sag phase jump;
the voltage drop condition setting module is used for determining a voltage sag parameter judgment threshold value and comprises the following steps: a voltage sag amplitude threshold, a voltage sag duration threshold, and a voltage sag phase jump threshold;
the first sunken area determining module is used for taking a voltage sag amplitude threshold value and a voltage sag duration threshold value as voltage sag judging parameters, accessing the photovoltaic by adopting a fault point method according to the estimation requirement to obtain a critical fault point of each node of the line, and estimating a first sunken area range corresponding to each capacity photovoltaic;
the second sunken area determining module is used for taking the voltage sag phase jump as a voltage sag judgment parameter, accessing the photovoltaic by adopting a fault point method according to the estimation requirement to obtain a critical fault point of each node of the line, and estimating a second sunken area range corresponding to each capacity photovoltaic;
and the distribution network sunken domain generating module performs logic and operation on the first sunken domain range and the second sunken domain range to obtain a distribution network sunken domain.
6. The apparatus of claim 5, wherein the line parameters obtained by the parameter demand module include topology, load parameters, and distributed power sources in a power distribution network system; the estimated demand includes an estimated capacity of input photovoltaic or an estimated location of sensitive equipment.
7. The device according to claim 5, wherein the model building module builds a power distribution network system model containing distributed photovoltaic by adopting PSCAD/EMTDC, wherein the photovoltaic adopts maximum power point tracking to control the solar controller to output active power.
8. The device of claim 5, wherein the voltage drop information collecting module collects information by arranging synchronous vector measuring units in the power distribution network system model, the synchronous vector measuring units are uniformly distributed on line nodes in the model, and the measuring intervals and the number of the synchronous vector measuring units are adjusted according to the collecting requirement.
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