CN113013879B - Neo4 j-based power distribution network voltage sag influence domain visualization method - Google Patents
Neo4 j-based power distribution network voltage sag influence domain visualization method Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
- H02J3/00125—Transmission line or load transient problems, e.g. overvoltage, resonance or self-excitation of inductive loads
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H1/00—Details of emergency protective circuit arrangements
- H02H1/0092—Details of emergency protective circuit arrangements concerning the data processing means, e.g. expert systems, neural networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/26—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
- H02H7/28—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured for meshed systems
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The invention discloses a power distribution network voltage sag influence domain visualization method based on Neo4j, which belongs to the technical field of power distribution network voltage sag influence domains, can comprehensively manage voltage sag events, stores voltage sag related information in a graph mode by adopting a graph database mode, is more consistent with a topological structure form of a power system, can visualize a range of damage caused by voltage sag in real time by constructing the system, is convenient for a worker to use the result as a reference for power quality target control and power design improvement, is beneficial to guiding the voltage sag level of a power supply point to carry out effective voltage sag management, greatly enhances the efficiency of data retrieval and data updating by using a Neo4j graph database, and is suitable for power distribution network voltage sag influence domains of a large amount of data and visualization analysis thereof.
Description
Technical Field
The invention relates to the technical field of power distribution network voltage sag influence domains, in particular to a Neo4 j-based power distribution network voltage sag influence domain visualization method.
Background
With the construction of power grid automation and digitization, sensitive equipment is widely applied, and the problem of voltage sag is gradually highlighted. The distribution network is located at the tail end of the power system, has the characteristics of multiple equipment types, variable operation modes and the like, and according to statistics, the faults caused by the distribution network are the most, and the most important problem is the voltage sag problem. After voltage sag occurs, the condition of a voltage sag influence domain needs to be rapidly mastered, so that the operation and inspection department can rapidly respond to faults. Meanwhile, the basis of analysis of the voltage sag fault influence domain of the power distribution network is real-time topology analysis of the power distribution network, and how to improve the real-time performance and the storage efficiency of topology analysis processing under massive voltage sag monitoring information of the power distribution network is a technical problem to be solved in the aspect of power big data application.
Based on the method, the visualization method of the voltage sag influence domain of the power distribution network based on Neo4j is designed to solve the problems.
Disclosure of Invention
The invention aims to provide a Neo4 j-based power distribution network voltage sag influence domain visualization method to solve the technical problems.
In order to realize the purpose, the invention provides the following technical scheme: a Neo4 j-based power distribution network voltage sag influence domain visualization system comprises a data management layer, a voltage sag influence domain analysis related calculation function layer and a voltage sag influence domain analysis application layer; wherein
The data management layer stores transient data of a generator in the power distribution network, voltage data of each sequence, CIM/E power distribution network model data of the power distribution network and geographic environment data by using a Neo4j database, takes all physical devices in the power distribution network as nodes, takes line connection relations among all the physical devices as edges, and models the power distribution network into a graph model;
the voltage sag influence domain analysis related calculation function layer comprises a graph database high-efficiency query function, a graph network topology analysis function, a graph high-speed parallel calculation function and a graph deep machine learning function;
the application layer of the voltage sag influence domain analysis is an application layer organized according to a graph database query mode based on various graph calculation functions in a graph database, and the application layer comprises a voltage sag display and a voltage sag influence domain display, wherein various analysis calculation visualization displays and voltage sag influence domain visualization displays are provided by the voltage sag display.
Preferably, the physical devices include a substation, a connection node, a feeder, a bus, a switch, a substation load, a fuse, a cable terminal, a distribution transformer, a disconnecting link, a compensator, a grounding disconnecting link, and a cable segment in the power distribution network.
Preferably, the application layer displays the voltage sag influence domain in a multi-direction and multi-angle manner by using a human-computer interface function and a multi-window interaction technology, and the human-computer interface can be designed based on graph database query.
A distribution network voltage sag influence domain analysis method based on Neo4j comprises the following steps:
step S10: establishing a data model of a distribution network structure based on a graph database;
step S20: inputting static data of the CIM/E power distribution network;
step S30: inputting geographic environment data;
step S40: inputting remote measuring and remote signaling real-time data;
step S50: the graph database stores and analyzes data;
step S60: judging whether the geographic environment changes; repeating the step S30 if the change occurs, and performing the step S70 if the change does not occur;
step S70: judging whether static data of the power distribution network changes or not; repeating the step S20 if the change occurs, or performing the step S80 if the change does not occur;
step S80: calculating the short circuit of the voltage sag influence domain based on a graph database;
step S90: solving each sequence voltage component of any node in short circuit;
step S110: setting voltage contour lines in a geographical wiring diagram;
step S120: forming a voltage will temporarily affect domain visualization.
The specific method for calculating the short circuit of the voltage sag influence domain in the step S80 is as follows:
firstly, forming a node admittance matrix or a node impedance matrix of a system; in the calculation of the initial sub-transient current, the generator branch is generally equivalent to the sub-transient impedance R + jX ″dAnd the sub-transient electromotive force E ", generally representing the load with a constant impedance, incorporating an admittance (or impedance) matrix as the ground path to the load node; the constant impedance value can be calculated by the load power at the moment before the short circuit and the actual voltage of the node, namely:
when a symmetric short circuit occurs, assuming that a fault occurs at the point f, the impedance of each phase is already attenuated to R + j ω L, and the current of each phase gradually changes from the value before the short circuit to a new steady-state value determined by the impedance R + j ω L; when short circuit calculation is carried out, the short circuit current of any phase is only calculated according to the equivalent circuit after short circuit, and then the three-phase short circuit current can be obtained;
when the impedance matrix is used for symmetrical short-circuit fault calculation, which is equivalent to adding an injection current at a fault node f, the voltage of any node i in the network can be represented as follows:
in the above formula, the first term on the right side of the equal sign is the node voltage in the normal operation state immediately before the short circuit, and is the normal component of the node voltage, which is recorded as
The matrix form of the voltage of any node of the whole network is obtained as follows:
the equation applies equally to the faulty node f, according to the boundary conditions:
and (3) eliminating the short-circuit current according to the boundary condition by combining any point voltage expression of the whole network to obtain:
the current of any branch can be further obtained:
when asymmetric short circuit occurs, in the three-phase circuit, any one group of three asymmetric vectors
Can be decomposed into three groups of three-phase symmetrical components, which are respectively: positive sequence component
Negative sequence component
And zero sequence component
The sequence impedance of the element means the ratio of the voltage sag of a certain sequence at two ends of the element to the current passing through the same sequence of the element when the three-phase parameters of the element are symmetrical;
when an asymmetric short circuit occurs at a certain position of a line, each sequence of equivalent networks needs to be calculated respectively; obtaining the positive, negative and zero sequence equivalence shown in the following graph through network simplification;
and obtaining the corresponding voltage equations of the sequences as follows:
the above formula is also called a sequence network equation, when fault analysis is carried out, the calculation idea is similar to the symmetric short circuit, corresponding impedance (admittance) matrixes are formed according to different sequence parameters, and after positive sequence components of short circuit current are obtained by combining a positive sequence equivalent rule, each sequence component of any voltage of the whole network can be obtained;
after the calculation of the voltage sag influence domain is completed, the voltage sag influence domain is displayed in a geographical boundary diagram of a visual interface in the form of voltage contour lines.
Compared with the prior art, the invention has the beneficial effects that:
the voltage sag influence domain analysis method based on the Neo4j graph database and the visualization system thereof can comprehensively manage voltage sag events, store voltage sag related information in a graph mode by adopting the graph database mode, and better accord with the topological structure form of a power system.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
FIG. 1 is a distribution network voltage sag influence domain based on a Neo4j graph database and a visualization system structure thereof;
FIG. 2 is a generator equivalent model;
FIG. 3 is a symmetric short circuit model;
FIG. 4 is a symmetric short circuit analysis;
FIG. 5 is a schematic diagram of a positive, negative and zero sequence equivalent network;
FIG. 6 is a diagram showing voltage sag influence domains;
fig. 7 is a graph of analysis and visualization flow chart of the voltage sag influence domain of the power distribution network based on a Neo4j graph database.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-7, the present invention provides a technical solution: the analysis of the voltage sag influence domain of the power distribution network relates to multiple types of data information which are correlated with each other, the relationship among data entities is complex and dense, and the Neo4j graph database is more suitable for storage. Based on a Neo4j graph database, the invention provides a power distribution network voltage sag influence domain analysis and visualization system thereof.
And storing the real-time data, the model data and the geographic environment data of the power distribution network of the power grid topological structure and the connection relation thereof through the Neo4j graph database, so as to calculate the power graph related to the voltage sag influence domain of the power distribution network. And a man-machine interface designed by interactive query of the Neo4j graph database is used for realizing visual display of the voltage sag influence domain.
Fig. 1 is a structural diagram of a system for analyzing and visualizing the voltage sag influence domain of a power distribution network based on a Neo4j graph database. The method comprises the following three levels:
the first layer is a data management layer; transient data of a generator in the power distribution network, voltage data of each sequence, CIM/E power distribution network model data of the power distribution network, geographic environment data and the like are stored by using a Neo4j database. The power distribution network can be modeled into a graph model by taking a transformer substation, a bus, a switch, a load, a protection device and the like as nodes and taking the connection relation between a line and a physical device as an edge.
The second layer is a voltage sag influence domain analysis related calculation function layer; on the basis of six types of functions integrated in a graph calculation platform, the characteristics of voltage sag influence domain application functions provide electrical diagram calculation functions such as graph database efficient query, graph network topology analysis, graph high-speed parallel calculation, graph deep machine learning and the like.
The third layer is an application layer for analyzing the voltage sag influence domain; on the voltage sag influence domain analysis system, based on various graph calculation functions in a graph database, an application layer organized according to a graph database query mode provides various analysis calculations, voltage sag influence domain visual display and the like for voltage sag. Because the speed of graph database query is very high, the human-computer interface can be designed based on graph database query, the applications fully utilize the human-computer interface function, and a multi-window interaction technology is adopted to display the voltage sag influence domain in a multi-direction and multi-angle manner.
As shown in fig. 7, a Neo4 j-based method for analyzing a voltage sag influence domain of a power distribution network includes the following steps:
step S10: establishing a data model of a distribution network structure based on a graph database;
step S20: inputting static data of the CIM/E power distribution network;
step S30: inputting geographic environment data;
step S40: inputting remote measuring and remote signaling real-time data;
step S50: the graph database stores and analyzes data;
step S60: judging whether the geographic environment changes; repeating the step S30 if the change occurs, and performing the step S70 if the change does not occur;
step S70: judging whether static data of the power distribution network changes or not; repeating the step S20 if the change occurs, or performing the step S80 if the change does not occur;
step S80: calculating the short circuit of the voltage sag influence domain based on a graph database;
step S90: solving each sequence voltage component of any node in short circuit;
step S110: setting voltage contour lines in a geographical wiring diagram;
step S120: forming a voltage will temporarily affect the domain visualization.
The calculation of the voltage sag influence domain is essentially to obtain the voltage distribution condition in the network through short circuit calculation. When short circuit calculation is performed, a node admittance matrix or a node impedance matrix of the system is formed first. In the calculation of the initial sub-transient current, the generator branch is generally equivalent to the sub-transient impedance R + jX ″dAnd a sub-transient electromotive force E "as shown in fig. 2. The load is typically represented by a constant impedance, and the admittance (or impedance) matrix is included as the ground path to the load node. The constant impedance value can be calculated from the load power and the actual voltage at the node at the instant before the short circuit, i.e.
When a symmetric short circuit occurs, as shown in fig. 3, assuming that the fault occurs at point f, it can be seen that the entire circuit is divided into two independent loops. Wherein the loop to the right of point f becomes a short circuit without power supply, and the current thereof will gradually decay from the value before short circuit to zero; the loop to the left of point f is still connected to the power supply, but the impedance of each phase has decayed to R + j ω L, and the current will gradually change from the value before the short circuit to a new steady state value determined by the impedance R + j ω L. When a symmetric short circuit occurs, the current has only a positive sequence component due to three-phase symmetry. When short circuit calculation is carried out, the short circuit current of any phase is only calculated according to the equivalent circuit after short circuit, and then the three-phase short circuit current can be obtained.
When the impedance matrix is used for symmetric short-circuit fault calculation, if the boundary condition at the fault is kept unchanged, the original part of the network can be separated from the fault branch, and for the network in a normal state, the injected current is equivalently added at the fault node f, as shown in fig. 4. The voltage at any node i in the network can be expressed as:
when the impedance matrix is used for symmetrical short-circuit fault calculation, which is equivalent to adding an injection current at a fault node f, the voltage of any node i in the network can be represented as follows:
in the above formula, the first term on the right side of the equal sign is the node voltage in the normal operation state immediately before the short circuit, and is the normal component of the node voltage, which is recorded as
The matrix form of the voltage of any node of the whole network is obtained as follows:
the equation applies equally to the faulty node f, according to the boundary conditions:
and (3) eliminating the short-circuit current according to the boundary condition by combining any point voltage expression of the whole network to obtain:
the current of any branch can be further obtained:
when asymmetric short circuit occurs, the calculation process involves the concept of sequence component and sequence network. In a three-phase circuit, any set of three vectors is asymmetrical
Can be decomposed into three groups of three-phase symmetrical components, which are respectively:
1) positive sequence component
The three phases have equal magnitude, the phases are different by 120 degrees, and the phase sequence is the same as the phase sequence when the system is in normal symmetrical operation;
2) negative sequence component
The three phases are equal in magnitude and have a mutual phase difference of 120 degrees, and the phase sequence is opposite to the phase sequence when the system is in normal symmetrical operation;
3) zero sequence component
The three phasors are equal in size and consistent in phase.
The sequence impedance of an element refers to the ratio of the voltage sag of a sequence at two ends of the element to the current passing through the same sequence of the element when the three-phase parameters of the element are symmetrical.
When an asymmetric short circuit occurs at a certain position of a line, each sequence current component appears in the network, and sequence parameters of elements are different under each sequence current, so that direct calculation like symmetric short circuit cannot be performed, and each sequence equivalent network needs to be calculated respectively. Through network simplification, a positive, negative and zero sequence equivalent network schematic diagram shown in the following figure is obtained and is shown in fig. 5.
And the corresponding voltage equations of each sequence are obtained as follows.
The above equation is also called a sequential network equation. When fault analysis is carried out, the calculation idea is similar to that of symmetric short circuit, corresponding impedance (admittance) matrixes are formed according to different sequence parameters, and after positive sequence components of short circuit current are obtained by combining a positive sequence equivalent rule, all sequence components of any voltage of the whole network can be obtained.
After the calculation of the voltage sag influence domain is completed, the voltage sag influence domain is displayed in the form of voltage contour lines in a geographical boundary diagram of a visualization interface, as shown in fig. 6. Fig. 7 is a flowchart illustrating analysis and visualization of the voltage sag influence domain of the power distribution network based on the Neo4j graph database.
In the description of the invention, it is to be understood that the terms "coaxial", "bottom", "one end", "top", "middle", "other end", "upper", "one side", "top", "inner", "front", "center", "both ends", and the like are used in the orientations and positional relationships indicated in the drawings only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the invention.
In the present invention, unless otherwise specifically stated or limited, the terms "mounted," "disposed," "connected," "fixed," "screwed" and the like are to be construed broadly, e.g., as being fixedly connected, detachably connected, or integrated; can be mechanically or electrically connected; the terms may be directly connected or indirectly connected through an intermediate, and may be communication between two elements or interaction relationship between two elements, unless otherwise specifically defined, and the specific meaning of the terms in the invention is understood by those skilled in the art according to specific situations.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (3)
1. A power distribution network voltage sag influence domain visualization method based on Neo4j is characterized in that: the system comprises a data management layer, a voltage sag influence domain analysis related calculation function layer and a voltage sag influence domain analysis application layer; wherein
The data management layer stores transient data of a generator in the power distribution network, voltage data of each sequence, CIM/E power distribution network model data of the power distribution network and geographic environment data by using a Neo4j map database, takes various physical devices in the power distribution network as nodes, takes line connection relations among the physical devices as edges, and models the power distribution network into a graph model;
the voltage sag influence domain analysis related calculation function layer comprises a graph database high-efficiency query function, a graph network topology analysis function, a graph high-speed parallel calculation function and a graph deep machine learning function;
the application layer of the voltage sag influence domain analysis is an application layer organized according to a graph database query mode based on various graph calculation functions in a graph database, and the application layer comprises a voltage sag display for providing various analysis calculation visualization and a voltage sag influence domain visualization display;
the method comprises the following steps:
step S10: establishing a data model of a distribution network structure based on a graph database;
step S20: inputting static data of the CIM/E power distribution network;
step S30: inputting geographic environment data;
step S40: inputting remote measuring and remote signaling real-time data;
step S50: the graph database stores and analyzes data;
step S60: judging whether the geographic environment changes; repeating the step S30 if the change occurs, and performing the step S70 if the change does not occur;
step S70: judging whether static data of the power distribution network changes or not; repeating the step S20 if the change occurs, or performing the step S80 if the change does not occur;
step S80: calculating the short circuit of the voltage sag influence domain based on a graph database; the specific method for calculating the short circuit of the voltage sag influence domain comprises the following steps:
firstly, forming a node admittance matrix or a node impedance matrix of a system; in the calculation of the initial sub-transient current, the generator branch is equal to the sub-transient impedance R + jX'd'and sub-transient electromotive force E', representing the load by constant impedance, and taking an admittance matrix as a ground path of a load node; the constant impedance value is calculated by the load power at the moment before the short circuit and the actual voltage of the node, namely:
when a symmetric short circuit occurs, assuming that a fault occurs at the point f, the impedance of each phase is already attenuated to R + j ω L, and the current of each phase gradually changes from the value before the short circuit to a new steady-state value determined by the impedance R + j ω L; when short circuit calculation is carried out, only the short circuit current of any phase is calculated according to the equivalent circuit after short circuit, and the three-phase short circuit current is obtained;
when the impedance matrix is used for symmetrical short-circuit fault calculation, namely an injection current is added at a fault node f, the voltage of any node i in the network is represented as:
in the above formula, the first term on the right side of the equal sign is the node voltage in the normal operation state immediately before the short circuit, and is the normal component of the node voltage, which is recorded as
The matrix form of the voltage of any node of the whole network is obtained as follows:
the equation applies equally to the faulty node f, according to the boundary conditions:
and (3) eliminating the short-circuit current according to the boundary condition by combining any point voltage expression of the whole network to obtain:
and then, obtaining the current of any branch:
when asymmetric short circuit occurs, in the three-phase circuit, any one group of three asymmetric vectors
Decomposed into three sets of three-phase symmetric components, whichThe three groups of symmetric components are respectively: positive sequence component
Negative sequence component
And zero sequence component
The sequence impedance of the element means the ratio of the voltage sag of a certain sequence at two ends of the element to the current passing through the same sequence of the element when the three-phase parameters of the element are symmetrical;
when an asymmetric short circuit occurs at a certain position of a line, each sequence of equivalent networks needs to be calculated respectively; obtaining positive, negative and zero sequence equivalence through network simplification;
and obtaining the corresponding voltage equations of the sequences as follows:
the above formula is also called a sequence network equation, when fault analysis is carried out, the calculation idea is similar to the symmetric short circuit, corresponding impedance matrixes are formed according to different sequence parameters, and after positive sequence components of short circuit current are obtained by combining a positive sequence equivalent rule, each sequence component of any voltage of the whole network is obtained;
after the calculation of the voltage sag influence domain is completed, displaying in a geographical boundary diagram of a visual interface in a voltage contour line form;
step S90: solving each sequence voltage component of any node in short circuit;
step S110: setting voltage contour lines in a geographical wiring diagram;
step S120: forming a voltage will temporarily affect the domain visualization.
2. The Neo4 j-based power distribution network voltage sag influence domain visualization method according to claim 1, wherein the method comprises the following steps: the physical equipment comprises a transformer substation, a connecting node, a feeder line, a bus, a switch, a transformer substation load, a fuse, a cable terminal, a distribution transformer, a disconnecting link, a compensator, a grounding disconnecting link and a cable section in the power distribution network.
3. The Neo4 j-based power distribution network voltage sag influence domain visualization method according to claim 1, wherein the method comprises the following steps: the application layer displays the voltage sag influence domain in a multi-direction and multi-angle manner by utilizing the function of a human-computer interface and adopting a multi-window interaction technology, and the human-computer interface is designed based on graph database query.
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