CN116780768A - Method and system for identifying key nodes of photovoltaic power distribution network equipment in transformer area and electronic equipment - Google Patents

Method and system for identifying key nodes of photovoltaic power distribution network equipment in transformer area and electronic equipment Download PDF

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Publication number
CN116780768A
CN116780768A CN202310669998.3A CN202310669998A CN116780768A CN 116780768 A CN116780768 A CN 116780768A CN 202310669998 A CN202310669998 A CN 202310669998A CN 116780768 A CN116780768 A CN 116780768A
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node
network
information network
power distribution
distribution
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Inventor
王波
李怡凡
廖锦霖
吴桂联
林婷婷
王红霞
张嘉鑫
马富齐
马恒瑞
张迎晨
罗鹏
王雷雄
刘萌
王怡玮
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Wuhan University WHU
State Grid Fujian Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Fujian Electric Power Co Ltd
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Wuhan University WHU
State Grid Fujian Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Fujian Electric Power Co Ltd
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Priority to CN202310669998.3A priority Critical patent/CN116780768A/en
Publication of CN116780768A publication Critical patent/CN116780768A/en
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Abstract

The application discloses a method for identifying key nodes of a photovoltaic power distribution network device in a transformer area, which comprises the following steps: establishing a distribution substation information network model based on a distribution substation equipment service chain; determining a distribution information network and a physical power grid topology of the power system based on the distribution information network model; determining a dependency relationship, and connecting a critical node of a power distribution substation with the outside; acquiring the importance of nodes of the power distribution information network to the power distribution information network and the importance of the nodes of the power distribution information network to a physical power grid; and carrying out weighting treatment on the sum to obtain the importance of the node, and carrying out key node identification. Compared with the prior art, the technical scheme provided by the application can be used for effectively distinguishing the key nodes of the photovoltaic power distribution network equipment in the transformer area, and has guiding significance for the communication equipment management and targeted maintenance of the power monitoring system of the distribution substation. In addition, the application also relates to a key node identification system of the photovoltaic power distribution network equipment of the transformer area and electronic equipment, and the key node identification system has the same beneficial effects.

Description

Method and system for identifying key nodes of photovoltaic power distribution network equipment in transformer area and electronic equipment
Technical Field
The application relates to the technical field of power distribution networks, in particular to a method for identifying key nodes of a photovoltaic power distribution network device in a transformer area. In addition, the application also relates to a system for identifying key nodes of the photovoltaic power distribution network equipment in the transformer area and electronic equipment.
Background
The electric power communication carries complex electric power business, is highly interacted with the bidirectional coupling of the physical power grid, and under the influence of the physical power grid framework, the identification of key nodes of the distribution information network is very important for improving the digital level of the electric power system. The power distribution information network is an important component of the power system, provides communication technology support for primary equipment of the physical power grid, and improves the necessary way of digitalization and intelligence level of the power system; for power grid operation, maintenance and dispatching staff, the power distribution information network is an important means for acquiring the power grid state. The key nodes of the distribution information network are identified, so that the protection of the key nodes is realized in the network design and maintenance, the probability of network attack risk is reduced, the network loss is reduced, and the method has very important significance for network safe and reliable communication, so that the identification of the key nodes of the distribution information gateway is necessary to be studied. In the prior art, a certain limitation still exists in a method for identifying key nodes of photovoltaic power distribution network equipment.
Therefore, how to provide a method, a system and an electronic device for identifying key nodes of a photovoltaic power distribution network device in a transformer area, which can overcome the above technical problems, has become a technical problem to be solved by those skilled in the art.
Disclosure of Invention
In order to solve the technical problems, the application provides a method for identifying key nodes of a photovoltaic power distribution network device in a transformer area, which can overcome the technical problems, can more effectively identify the key nodes of the photovoltaic power distribution network device in the transformer area, and has guiding significance for communication device management and targeted maintenance of a power monitoring system in a power distribution substation. In addition, the application also relates to a key node identification system of the photovoltaic power distribution network equipment of the transformer area and electronic equipment, and the key node identification system has the same beneficial effects.
The technical scheme provided by the application is as follows:
the application provides a method for identifying key nodes of a photovoltaic power distribution network device in a transformer area, which comprises the following steps: establishing a distribution substation information network model based on a distribution substation equipment service chain;
determining a distribution information network and a physical power grid topology of the power system based on the distribution information network model;
determining a dependency relationship, and connecting a critical node of a power distribution substation with the outside;
acquiring importance degree C of node i of power distribution information network to power distribution information network C (i) And the importance C of the node i of the distribution information network to the physical power grid P (i);
For C C (i) And C P (i) And weighting to obtain the importance of the final node.
Further, in a preferred mode of the present application, the step of "building a distribution substation information network model based on a distribution substation equipment service chain" includes the steps of: dividing secondary equipment of a power distribution substation into three layers; establishing a distribution substation information network model according to a distribution substation equipment service chain; simplifying a distribution substation information network model and establishing a device-level topology model: abstracting all levels of power distribution master station automation systems into master station nodes; each device of the information network in each distribution substation is abstracted as a node, and the physical and information connection relations among the devices are abstracted as edges.
Further, in a preferred mode of the application, a master station node in the distribution substation information network model is set as a power distribution master station, and a node from a transmission system in the distribution substation information network model to a breaker and a transformer belongs to a certain distribution substation; the node of the main station outside the external connection station of the transmission system is set as a critical node, the rest nodes of the distribution station in the distribution station information network model are defined as internal nodes,
the distribution substation information network model site connection relation diagram can be expressed as follows:
wherein G is c Is a diagram of a distribution information network, V c Is all the nodes composing the graph, including the master node set V S Internal node V I And critical node V B ;E c Is a connecting edge of the distribution information network; and establishing a non-directional 'point-to-edge' dependent network model.
Further, in a preferred form of the present application, the step of "determining dependencies, connecting the critical node of the power distribution substation to the outside" includes: the graph of the undirected "point-to-edge" dependent network model is described as follows:
G=G(V,E) (3)
V=[V p ;V c ] (4)
in the middle of
Respectively representing nodes of a physical power grid and nodes of a power distribution information network; e (E) p ={i,j∈V p I (i, j) } indicates that there is a connecting edge between point i and point j of the physical grid, E c And the same is done;
the 'dependency point edge set' indicates that the ith edge of the physical power grid and the jth point of the information network have dependency edges; from the graph G (V, E) its adjacency matrix can be obtained
Further, in a preferred mode of the present application, the importance C of the node i of the distribution information network to the distribution information network is obtained C (i) Comprising the following steps:
for a single-layer complex network with N nodes, d ij (i, j=1, 2, …, N) represents the shortest distance from node i to node j in the network, where d ii =0, the average distance of the network is defined as:
when the network becomes a non-connected network due to node failure, l= infinity, network efficiency is introduced to measure importance of the node, and the definition of the network efficiency is as follows:
after deleting node i, the remaining network efficiency is E i Defining node importance as a relative reduction in network efficiency:
the node importance defining the interdependence network is:
further, in a preferred form of the application, "p C C (i) And C P (i) Weighting is carried out, and the final node importance degree is obtained as follows:
further, in a preferred mode of the present application, the secondary equipment of the power distribution substation is divided into three layers, specifically: a station control layer, a spacing layer and a process layer.
Further, in a preferred form of the application, the distribution substation information network model comprises the elements: scheduling, transmission system, station control layer switch, measurement and control, protection, process layer switch, intelligent terminal, merging unit, circuit breaker, mutual inductor.
In addition, the application also provides a platform area lightThe utility model provides a key node identification system of photovoltaic distribution network equipment, includes: the key node identification comprehensive processing module is used for establishing a distribution substation information network model based on a distribution substation equipment service chain; determining a distribution information network and a physical power grid topology of a power system; determining a dependency relationship, and connecting a critical node of a power distribution substation with the outside; acquiring importance degree C of node i of power distribution information network to power distribution information network C (i) And the importance C of the node i of the distribution information network to the physical power grid P (i) The method comprises the steps of carrying out a first treatment on the surface of the For C C (i) And C P (i) And weighting to obtain the importance of the final node.
In addition, the application also provides electronic equipment, which comprises: the computer program is used for executing the method for identifying the key nodes of the platform region photovoltaic power distribution network equipment; a memory for storing a computer program; a processor for executing a computer program. The method has the beneficial effects as well.
The application provides a method for identifying key nodes of a photovoltaic power distribution network device in a platform area, which comprises the following steps compared with the prior art: establishing a distribution substation information network model based on a distribution substation equipment service chain; determining a distribution information network and a physical power grid topology of the power system based on the distribution information network model; determining a dependency relationship, and connecting a critical node of a power distribution substation with the outside; acquiring importance degree C of node i of power distribution information network to power distribution information network C (i) And the importance C of the node i of the distribution information network to the physical power grid P (i) The method comprises the steps of carrying out a first treatment on the surface of the For C C (i) And C P (i) And weighting to obtain the importance of the final node. Compared with the prior art, the technical scheme provided by the application can be used for effectively distinguishing the key nodes of the photovoltaic power distribution network equipment in the transformer area, and has guiding significance for the communication equipment management and targeted maintenance of the power monitoring system of the distribution substation. In addition, the application also relates to a key node identification system of the photovoltaic power distribution network equipment of the transformer area and electronic equipment, and the key node identification system has the same beneficial effects.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a distribution substation information network model according to an embodiment of the present application;
fig. 2 is a schematic diagram of an example of a "point-to-edge" dependent network in a method for identifying key nodes of a photovoltaic power distribution network device in a transformer area according to an embodiment of the present application;
fig. 3 is a schematic diagram of a method according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the technical solutions of the present application, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and 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 application without making any inventive effort, are intended to be within the scope of the application.
It will be understood that when an element is referred to as being "fixed" or "disposed" on another element, it can be directly on the other element or be indirectly on the other element; when an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.
It is to be understood that the terms "length," "width," "upper," "lower," "front," "rear," "first," "second," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are merely for convenience in describing and simplifying the description based on the orientation or positional relationship shown in the drawings, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus are not to be construed as limiting the application.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, the meaning of "a plurality" or "a number" means two or more, unless specifically defined otherwise.
It should be understood that the structures, proportions, sizes, etc. shown in the drawings are for the purpose of understanding and reading the disclosure, and are not intended to limit the scope of the application, which is defined by the claims, but rather by the claims, unless otherwise indicated, and that any structural modifications, proportional changes, or dimensional adjustments, which would otherwise be apparent to those skilled in the art, would be made without departing from the spirit and scope of the application.
As shown in fig. 1 to 3, the application provides a method for identifying key nodes of a photovoltaic power distribution network device in a transformer area, which comprises the following steps: establishing a distribution substation information network model based on a distribution substation equipment service chain; determining a distribution information network and a physical power grid topology of the power system based on the distribution information network model; determining a dependency relationship, and connecting a critical node of a power distribution substation with the outside; acquiring importance degree C of node i of power distribution information network to power distribution information network C (i) And the importance C of the node i of the distribution information network to the physical power grid P (i) The method comprises the steps of carrying out a first treatment on the surface of the For C C (i) And C P (i) And weighting to obtain the importance of the final node. Compared with the prior art, the technical scheme provided by the application can be used for effectively distinguishing the key nodes of the photovoltaic power distribution network equipment in the transformer area, and has guiding significance for the communication equipment management and targeted maintenance of the power monitoring system of the distribution substation. In addition, the application also relates to a key node identification system of the photovoltaic power distribution network equipment of the transformer area and electronic equipment, and the key node identification system has the same beneficial effects.
Specifically, in an embodiment of the present application, the step of "building a distribution substation information network model based on a distribution substation equipment service chain" includes the steps of: dividing secondary equipment of a power distribution substation into three layers; establishing a distribution substation information network model shown in figure 1 according to a distribution substation equipment service chain; simplifying a distribution substation information network model and establishing a device-level topology model: abstracting all levels of power distribution master station automation systems into master station nodes; each device of the information network in each distribution substation is abstracted as a node, and the physical and information connection relations among the devices are abstracted as edges.
Specifically, in the embodiment of the application, a master station node in a distribution substation information network model is set as a power distribution master station, and a node from a transmission system in the distribution substation information network model to a breaker and a transformer belongs to a certain distribution substation; the node of the main station outside the external connection station of the transmission system is set as a critical node, the rest nodes of the distribution station in the distribution station information network model are defined as internal nodes,
the distribution substation information network model site connection relation diagram can be expressed as follows:
wherein G is c Is a diagram of a distribution information network, V c Is all the nodes composing the graph, including the master node set V S Internal node V I And critical node V B ;E c Is a connecting edge of the distribution information network; and establishing a non-directional 'point-to-edge' dependent network model.
Specifically, in an embodiment of the present application, the step of "determining a dependency relationship, connecting a critical node of a power distribution substation to the outside" includes: the graph of the undirected "point-to-edge" dependent network model is described as follows:
G=G(V,E)(3)
V=[V p ;V c ](4)
in the middle of
Respectively representing nodes of a physical power grid and nodes of a power distribution information network; e (E) p ={i,j∈V p I (i, j) } indicates that there is a connecting edge between point i and point j of the physical grid, E c And the same is done;
the 'dependency point edge set' indicates that the ith edge of the physical power grid and the jth point of the information network have dependency edges; from the graph G (V, E) its adjacency matrix can be obtained
Specifically, in an embodiment of the present application, the importance C of the node i of the power distribution information network to the power distribution information network is obtained C (i) Comprising the following steps:
for a single-layer complex network with N nodes, d ij (i, j=1, 2, …, N) represents the shortest distance from node i to node j in the network, where d ii =0, the average distance of the network is defined as:
when the network becomes a non-connected network due to node failure, l= infinity, network efficiency is introduced to measure importance of the node, and the definition of the network efficiency is as follows:
after deleting node i, the remaining network efficiency is E i Defining node importance as a relative reduction in network efficiency:
the node importance defining the interdependence network is:
specifically, in embodiments of the present application, "p C C (i) And C P (i) Weighting is carried out, and the final node importance degree is obtained as follows:
specifically, in the embodiment of the present application, the secondary equipment of the power distribution substation is divided into three layers: a station control layer, a spacing layer and a process layer.
Specifically, in an embodiment of the present application, a distribution substation information network model includes elements: scheduling, transmission system, station control layer switch, measurement and control, protection, process layer switch, intelligent terminal, merging unit, circuit breaker, mutual inductor.
In addition, the embodiment of the application also provides a system for identifying key nodes of the photovoltaic power distribution network equipment of the transformer area, which comprises the following steps: the key node identification comprehensive processing module is used for establishing a distribution substation information network model based on a distribution substation equipment service chain; determining a distribution information network and a physical power grid topology of a power system; determining a dependency relationship, and connecting a critical node of a power distribution substation with the outside; acquiring importance degree C of node i of power distribution information network to power distribution information network C (i) And node i of the distribution information network for physicsImportance C of the grid P (i) The method comprises the steps of carrying out a first treatment on the surface of the For C C (i) And C P (i) And weighting to obtain the importance of the final node.
In addition, an embodiment of the present application further provides an electronic device, including: the computer program is used for executing the method for identifying the key nodes of the platform region photovoltaic power distribution network equipment; a memory for storing a computer program; a processor for executing a computer program. The method has the beneficial effects as well.
More specifically, at present, research on key nodes of a power distribution information network is mainly focused on two aspects. On one hand, single network modeling is carried out on the distribution information network, and research is mainly carried out according to communication link bearing service; most studies identify key links of the distribution information network through the power traffic carried by the communication links; on the other hand, in order to consider the deep coupling effect of a physical power grid and a power distribution information network, more and more researches are conducted on the power distribution information network from the angle of a power information physical system, and the existing model completely summarizes the point-to-point dependency relationship between the two networks. But the different networks are not necessarily coupled entirely by nodes, and these models are not sufficient to generalize this situation.
It should be noted that, in the embodiment of the present application, the following assumptions are made regarding the "point-to-point" dependency network:
(1) In the case of no additional physical significance of the nodes, no fault propagates between the nodes of the single-sided network.
(2) When a node fails, all its connecting edges (including the dependent edges) fail.
(3) The outlier belongs to an invalid node.
(4) In the original network, if a node is connected with a dependency edge, the node fails when the dependency edge disappears.
(5) In the original network, if an edge is connected to a dependent edge, when the dependent edge disappears, the edge fails.
In the undirected dependent edge model of "point to edge",is stored in
Since one end of the dependent edge is a node of the network 1 and the other end is an edge of the network 2, the set of dependent point edgesIs represented as follows:
wherein V is A And V B Point sets of networks a and B, respectively, E A And E is B The edge sets of network a and network B, respectively.
According to the technical scheme, an information network model of the distribution substation is established aiming at the service chain relation of information equipment in the power monitoring system of the distribution substation; secondly, establishing an inter-station model based on point-to-side interdependence according to the network topological relation of the physical power grid and the communication network; taking a circuit breaker as a key coupling point of information physics, and simulating interaction among devices by adopting a node dynamic cascade fault model for communication device nodes; different characteristics of normal operation of information network and power network business are considered, and node importance evaluation indexes based on maximum communication branches and network efficiency are provided; finally, taking a certain power transmission ring network as an example for verification, the test result shows that the evaluation method provided herein can more effectively distinguish important equipment nodes of the communication network under the deep coupling effect of the information physical system, and has guiding significance for communication equipment management and targeted maintenance of the power monitoring system of the power distribution substation.
In the embodiment of the application, in order to accurately evaluate the internal equipment of the power distribution substation, the monitoring system of the power distribution substation needs to be modeled. According to the main power business that secondary equipment needs to bear, intelligent distribution post secondary equipment can divide into three layers: the station control layer, the spacer layer and the process layer then establish a distribution substation information network model as shown in fig. 1 according to a distribution substation equipment service chain, simplify the model, establish an equipment-level topology model, and make the following assumptions:
(1) Abstracting all levels of power distribution master station automation systems into master station nodes;
(2) Each device of the information network in each distribution substation is abstracted as a node, and the physical and information connection relations among the devices are abstracted as edges.
A distribution substation information network model as shown in fig. 1, wherein a node of a main station belongs to a distribution main station, and a node between a transmission system and a circuit breaker and a transformer belongs to a certain distribution substation. Because the transmission system is externally connected with the master station node outside the station, the internal station control layer switch is positioned at the internal and external critical positions, so that the node is defined as a critical node, and the other distribution substation nodes are defined as internal nodes.
The site connection relation diagram of the power distribution information network can be expressed by the following formula:
wherein G is c Is a diagram of a distribution information network, V c Is all the nodes composing the graph, including the master node set V S Internal node V I And critical node V B ;E c Is the connecting side of the power distribution information network.
The secondary equipment of the power system belongs to the information side, but has direct or indirect effect on a physical power grid, and the secondary equipment is evaluated from the power side or the information side in isolation, so that the actual power system is difficult to reflect. In view of the electric power-information coupling relation, the line breaker is considered as an interaction point of the information system and the physical system, on one hand, the on-off of a line is controlled in a physical power grid, and on the other hand, the on-off quantity is collected by the information system in the information network. Thus, the breaker node status across the information network affects the on-off of the connecting edges of the physical network. Therefore, a non-directional 'point-to-edge' dependent network model can be established, and according to the definition of the critical node, the circuit breaker and the transformer are connected with the intelligent terminal and the merging unit due to the fact that the dependent edge is connected with the circuit breaker and the transformer, and the circuit breaker and the transformer also belong to the critical node.
The model from the above description can be described as follows:
G=G(V,E)(3)
V=[V p ;V c ](4)
in the middle of
Representing nodes of the physical power grid and nodes of the distribution information network, respectively.
E p ={i,j∈V p I (i, j) } indicates that there is a connecting edge between point i and point j of the physical grid, E c And the same is done;
i.e. "dependency point edge set" means that there is a dependency edge between the i-th edge of the physical grid and the j-th point of the information network.
From the graph G (V, E) its adjacency matrix can be obtained
Thus, the power information physical model building step for a general power system can be described as:
firstly, modeling all distribution offices based on service chains; determining a distribution information network and a physical power grid topology of a power system; the dependency relationship is determined and then the critical node of the distribution substation is connected to the outside.
For a single-layer complex network with N nodes, d ij (i, j=1, 2, …, N) represents the shortest distance from node i to node j in the network, where d ii =0, then the average distance of the network is defined as:
when the network becomes a non-connected network due to node failure, then l= infinity, the average distance cannot characterize the network state. For this reason, network efficiency is introduced to measure the importance of the nodes. The definition of network efficiency is shown in the formula:
network efficiency differs from the maximum number of connected branches nodes in that the remaining connected branches are considered. As is well known, for a main network with numerous power generation and transformation nodes, when the network evolves into a non-connected graph, only the node of the largest connected branch can work normally.
After deleting node i, the remaining network efficiency is E i . Then from a network efficiency perspective, the node importance is defined as the relative reduction in network efficiency:
for the "point-to-edge" interdependent networks established herein, the network efficiency of the original single-layer complex network is insufficient to investigate node importance. In order to examine the effect of the nodes of network a on the network efficiency of network B, it is proposed that the importance of the nodes adapted to the interdependent network built herein be:
wherein C is C (i) The importance of the node i of the power distribution information network to the power distribution information network is C P (i) Is the importance of node i of the distribution information network to the physical grid. N (N) C Is the initial node number of the distribution information network, N C ' is the maximum number of connected branch nodes of the current state of the distribution information network; e (E) P Is the initial network efficiency of the physical power grid, E Pi The physical power grid network efficiency after the failure of the power distribution information network node i.
The reason why the importance of the nodes to the two networks is measured by the different indexes is that the information nodes separated from the inside of the plant stations and the power distribution main station in the information network can not transmit information, so the importance of the nodes to the information network is inspected by the relative size of the maximum communication branch; the physical power grid has island operation conditions, and nodes except the maximum communication branch are still possible to operate, so that the influence degree of the information nodes on the power network is considered by interdependent network efficiency; and combining the influences of the two aspects, weighting the two indexes to obtain the final node importance, and completing the identification of the key nodes of the photovoltaic power distribution network equipment based on the node importance.
It is to be understood that the construction and arrangement of the application herein shown in the various exemplary embodiments is illustrative only. Although only a few embodiments have been described in detail in this disclosure, those skilled in the art who review this disclosure will readily appreciate that many modifications are possible (e.g., variations in sizes, dimensions, structures, shapes and proportions of the various elements, values of parameters (e.g., temperature, pressure, etc.), mounting arrangements, use of materials, colors, orientations, etc.) without materially departing from the novel teachings and advantages of the subject matter described in this application. For example, elements shown as integrally formed may be constructed of multiple parts or elements, the position of elements may be reversed or otherwise varied, and the nature or number of discrete elements or positions may be altered or varied. Accordingly, all such modifications are intended to be included within the scope of present application. The order or sequence of any process or method steps may be varied or re-sequenced according to alternative embodiments. In the claims, any means-plus-function clause is intended to cover the structures described herein as performing the recited function and not only structural equivalents but also equivalent structures. Other substitutions, modifications, changes and omissions may be made in the design, operating conditions and arrangement of the exemplary embodiments without departing from the scope of the present applications. Therefore, the application is not limited to the specific embodiments, but extends to various modifications that nevertheless fall within the scope of the appended claims.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (9)

1. The method for identifying the key nodes of the photovoltaic power distribution network equipment in the transformer area is characterized by comprising the following steps:
establishing a distribution substation information network model based on a distribution substation equipment service chain;
determining a distribution information network and a physical power grid topology of the power system based on the distribution information network model;
determining a dependency relationship, and connecting a critical node of a power distribution substation with the outside;
acquiring importance degree C of node i of power distribution information network to power distribution information network C (i) And the importance C of the node i of the distribution information network to the physical power grid P (i);
For C C (i) And C P (i) And carrying out weighting processing to obtain the importance degree of the node and carrying out key node identification.
2. The method for identifying key nodes of a photovoltaic power distribution network device in a transformer area according to claim 1, wherein the step of establishing a distribution substation information network model based on a service chain of the distribution substation device comprises the steps of: dividing secondary equipment of a power distribution substation into three layers; establishing a distribution substation information network model according to a distribution substation equipment service chain; simplifying a distribution substation information network model and establishing a device-level topology model: abstracting all levels of power distribution master station automation systems into master station nodes; each device of the information network in each distribution substation is abstracted as a node, and the physical and information connection relations among the devices are abstracted as edges.
3. The method for identifying key nodes of a district photovoltaic power distribution network device according to claim 2, wherein a master station node in a distribution substation information network model is set as a power distribution master station, and a node from a transmission system in the distribution substation information network model to a breaker and a transformer belongs to a certain power distribution substation; the node of the main station outside the external connection station of the transmission system is set as a critical node, the rest nodes of the distribution station in the distribution station information network model are defined as internal nodes,
the distribution substation information network model site connection relation diagram can be expressed as follows:
wherein G is c Is a diagram of a distribution information network, V c Is all the nodes composing the graph, including the master node set V S Internal node V I And critical node V B ;E c Is a connecting edge of the distribution information network; and establishing a non-directional 'point-to-edge' dependent network model.
4. The method for identifying key nodes of a photovoltaic power distribution network device in a district according to claim 3, wherein the step of determining the dependency relationship and connecting the key nodes of the power distribution substation to the outside comprises: the graph of the undirected "point-to-edge" dependent network model is described as follows:
G=G(V,E) (3)
V=[V p ;V c ] (4)
in the middle of
Respectively representing nodes of a physical power grid and nodes of a power distribution information network; e (E) p ={i,j∈V p I (i, j) } indicates that there is a connecting edge between point i and point j of the physical grid, E c And the same is done;
the 'dependency point edge set' indicates that the ith edge of the physical power grid and the jth point of the information network have dependency edges; from the graph G (V, E) its adjacency matrix can be obtained
(V i And V is equal to j Belonging to the same network) (7).
5. The method for identifying key nodes of a district photovoltaic power distribution network device according to claim 4, wherein the importance degree C of the node i of the power distribution information network to the power distribution information network is obtained C (i) Comprising the following steps:
for a single-layer complex network with N nodes, d ij (i, j=1, 2, …, N) represents the shortest distance from node i to node j in the network, where d ii =0, the average distance of the network is defined as:
when the network becomes a non-connected network due to node failure, l= infinity, network efficiency is introduced to measure importance of the node, and the definition of the network efficiency is as follows:
after deleting node i, the remaining network efficiency is E i Defining node importance as a relative reduction in network efficiency:
the node importance defining the interdependence network is:
6. the method for identifying key nodes of a district photovoltaic power distribution network device according to claim 1, wherein the method is characterized in that the method comprises the following steps C (i) And C P (i) Weighting is carried out, and the final node importance degree is obtained as follows:
7. the method for identifying key nodes of a photovoltaic power distribution network device of a transformer area according to claim 2, wherein the distribution substation information network model comprises the following elements: scheduling, transmission system, station control layer switch, measurement and control, protection, process layer switch, intelligent terminal, merging unit, circuit breaker, mutual inductor.
8. The utility model provides a platform district photovoltaic distribution network equipment key node identification system which characterized in that includes: the key node identification comprehensive processing module is used for establishing a distribution substation information network model based on a distribution substation equipment service chain; determining a distribution information network and a physical power grid topology of a power system;
determining a dependency relationship, and connecting a critical node of a power distribution substation with the outside; acquiring importance degree C of node i of power distribution information network to power distribution information network C (i) And the importance C of the node i of the distribution information network to the physical power grid P (i) The method comprises the steps of carrying out a first treatment on the surface of the For C C (i) And C P (i) And weighting to obtain the importance of the final node.
9. An electronic device, comprising:
computer program for executing the method for identifying key nodes of a photovoltaic power distribution network device in a transformer area according to any one of claims 1 to 7;
a memory for storing a computer program;
a processor for executing a computer program.
CN202310669998.3A 2023-06-07 2023-06-07 Method and system for identifying key nodes of photovoltaic power distribution network equipment in transformer area and electronic equipment Pending CN116780768A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117353305A (en) * 2023-12-06 2024-01-05 国网山西省电力公司晋城供电公司 Method, device, medium and electronic equipment for predicting power quality of transformer area

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117353305A (en) * 2023-12-06 2024-01-05 国网山西省电力公司晋城供电公司 Method, device, medium and electronic equipment for predicting power quality of transformer area
CN117353305B (en) * 2023-12-06 2024-03-01 国网山西省电力公司晋城供电公司 Method, device, medium and electronic equipment for predicting power quality of transformer area

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