CN117638891A - Novel power distribution network security analysis and evaluation method based on association characteristic matrix - Google Patents

Novel power distribution network security analysis and evaluation method based on association characteristic matrix Download PDF

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CN117638891A
CN117638891A CN202311607714.4A CN202311607714A CN117638891A CN 117638891 A CN117638891 A CN 117638891A CN 202311607714 A CN202311607714 A CN 202311607714A CN 117638891 A CN117638891 A CN 117638891A
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魏力鹏
刘�东
陶佳冶
翁嘉明
班秋成
申柯光
严彬元
陈飞
付鋆
郭劲枫
周泽元
朱斌
刘俊荣
徐连强
曹刚
蒋成栋
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Guizhou Power Grid Co Ltd
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Guizhou Power Grid Co Ltd
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Abstract

The invention discloses a novel distribution network safety analysis and evaluation method based on an association characteristic matrix, which comprises the steps of considering information, physical and new form space-crossing safety elements and causal logic relations among the elements, and establishing a complete event-driven chain; establishing a security index of CPS security index fusion, and sequencing and screening serious faults; analyzing the correlation between the information and the physical faults; generating an information physical fault set with correlation by traversing the power system fault set, and inducing and unifying the combined fault results of fault positioning, isolation and recovery stages; according to the CPS incidence matrix model of the power distribution network, establishing a mathematical optimization problem with the minimum system total loss load power as a target, and solving the mathematical optimization problem to obtain a safety evaluation index; obtaining a key combined fault, key fragile power and information nodes under a corresponding scene by taking the most serious fault; and establishing a CPS (CPS security space-time defense framework of the power distribution network) and realizing the improvement of the system security.

Description

Novel power distribution network security analysis and evaluation method based on association characteristic matrix
Technical Field
The invention belongs to the technical field of smart grids, and particularly relates to a novel power distribution network security analysis and evaluation method based on an association characteristic matrix.
Background
The energy internet is called a core technology of the next generation industrial revolution, is a novel energy system structure which uses distributed energy fully and widely and effectively by means of information internet technology, meets the diversified demands of energy consumers and can interact with the distributed energy, and the core technology is the tight integration of an information system and a physical system. The energy internet is the future development direction of the electric power system, and the basic theory and key method for supporting the physical fusion of the power grid information realized by the energy internet are the contents which need to be studied and broken through in the future.
The term Physical Systems (CPS) was originally proposed by the National Aviation Space Agency (NASA) in 1992. In particular, CPS is a combination of information space and physical processes, including physical devices, computing platforms, and network structures. During operation of the physical entity system, the computer and network monitor and control the physical process through a feedback loop in which the physical process interacts with the computing and information processing processes. The physical equipment, the information calculation processing and the communication transmission network are tightly and deeply combined, so that the operation of the physical equipment and the system has new functions and better operation effect.
In the electric power system, a closed loop channel for information space and physical space data interaction is constructed by the CPS of the electric power network, and interaction linkage between information and physical entities can be realized. Based on a static model generated by physical entity modeling, the working state and working progress (such as acquisition measurement results, traceable information and the like) of the physical entity are dynamically tracked through real-time data acquisition, data integration and monitoring, and the physical entity in the physical space is subjected to full-element reconstruction in the information space to form digital mapping or mirroring with sensing, analysis, decision making and execution capabilities. Meanwhile, by means of the capability of information space to comprehensively analyze and process data, an effective decision of external complex environment change is formed, and the effective decision is applied to a physical power grid entity in a virtual control mode. In the process, the physical entity and the information virtual entity are in interactive linkage, virtual-real mapping is carried out, and the resource optimization configuration efficiency is improved under the combined action. And the CPS of the power grid can process and analyze in an information space according to the perceived environmental change information to form a knowledge base, a model base and a resource base, so that the system can continuously self-evolve and learn to improve the capability of coping with complex environmental changes, and can adaptively respond to external changes effectively.
The CPS of the distribution network is used as a power system in a new form, the safe and stable operation of the CPS of the distribution network is still a primary problem, and the CPS of the distribution network has the characteristics of diversification and complexity, mutual influence of information side faults and energy side faults and the like along with the high fusion and mutual influence of information and physical systems compared with the traditional power system. Therefore, the safety analysis method suitable for CPS information physical fusion faults of the power distribution network has very important effect and practical significance.
The CPS security of the power distribution network in a new form relates to two layers of information and physics, the form of the information and physics fusion fault brings new requirements to the security index of the CPS of the power distribution network, the traditional security index only considers the working state of electrical equipment, but ignores the power grid fault caused by the attack of information side equipment or the occurrence of errors in the information transmission process, therefore, the information of the power distribution network is necessarily combined with the physical index, a new information-physics association characteristic matrix is defined, an information physics combination fault set is established, and the security performance improvement of the CPS of the power distribution network in the new form is realized by analyzing the influence of typical combination faults on the association characteristic matrix and the power grid operation optimization problem.
Disclosure of Invention
The invention aims to solve the technical problems: the novel distribution network safety analysis and evaluation method based on the correlation characteristic matrix is provided to analyze the safety connotation of the distribution network CPS, a CPS safety index fusion and expansion method is provided, the correlation characteristic matrix of the distribution network is defined, CPS safety space-time defense frameworks are built in consideration of the whole CPS fault process of the distribution network, and finally complete CPS safety improvement is provided.
The technical scheme of the invention is as follows:
a novel power distribution network security analysis and evaluation method based on an association characteristic matrix, the method comprising:
step 1, establishing a complete event driven chain by considering information, physical and new form cross-space security elements and causal logic relations among the elements;
step 2, establishing a security index fused with CPS security indexes, and sequencing and screening serious faults;
step 3, analyzing the correlation between information and physical faults by constructing a physical correlation matrix P, a communication correlation matrix C, a secondary equipment management matrix S and a joint matrix among the three; generating an information physical fault set with correlation by traversing the power system fault set, and inducing and unifying the combined fault results of fault positioning, isolation and recovery stages;
step 4, establishing a mathematical optimization problem with the minimum system total loss load power as a target according to the CPS incidence matrix model of the power distribution network, and respectively solving the optimization problem to obtain a security evaluation index; according to different scene needs, sequencing the calculated fault results according to severity, and obtaining the most serious faults to obtain key combined faults, key fragile power and information nodes in corresponding scenes;
and 5, establishing a CPS security space-time defense framework of the power distribution network, and realizing system security improvement.
The method for establishing the complete event driven chain comprises the following steps: dividing security elements of a power grid CPS into an information system, a physical system, a new form space-crossing security element and an information physical security element in the electric power Internet of things, and respectively establishing event-driven probability distribution models; the method comprises the steps of performing event context analysis on a set of historical events, performing interaction analysis on an original event and the historical events, predicting future event development situations, and establishing an active complex event processing framework facing an active power distribution network CPS by analyzing event results and influences of the event results on the CPS of the electric power network, so that causal logic relations in all types of safety elements of a power grid are analyzed, and a complete event-driven chain is established.
Step 2, establishing a security index of CPS security index fusion, and sorting and screening serious faults specifically comprises the following steps:
step 2.1, when the power failure occurs, the information failure in the failure positioning, isolating and recovering stages is considered, and a system information physical combination expected accident set is established;
step 2.2, aiming at each expected accident, using a dynamic model of the power information system to evaluate whether the communication network is blocked, and calculating a time-varying path of the performance index of the information system in a later period;
step 2.3, after the occurrence of the power short-circuit fault, considering the whole process of positioning, isolating and recovering the power distribution automation fault, judging the occurrence of the information and physical combination fault, and determining the power-losing area of the system;
and 2.4, calculating the security index of the CPS physical system of the power distribution network according to the CPS security index system of the power distribution network and different scene requirements, and sequencing and screening serious faults.
The performance index of the information system comprises communication interruption, transmission delay, error code and data loss rate.
The construction of the physical association matrix P, the communication association matrix C, the secondary equipment management matrix S and the joint matrix among the three comprises the following steps:
physical association matrix P:
according to the physical side topology structure, a directed topology matrix P is adopted m×m Two logic elements of 0 and 1 represent the position relation of each physical node in the power distribution network topological structure;
wherein: p is p ij Representing the association relation between the nodes i and j as elements in the physical association matrix; if i=j represents the physical node itself, p ij =1; if the joint isThe point i is connected with the node j, and the node i is positioned at the upstream of the node j, p ij ＝1；
Communication incidence matrix C:
using a bi-directional topology matrix C for a communication network having n communication nodes n×n A representation; when i=j represents an inode, c ij =0; when node i and node j have a connection, c ij Representing a communication condition of the link; otherwise c ij ＝[0,0,0,0]：
Secondary device association matrix S
For a network containing k secondary devices, a kxk order matrix S is established.
Wherein: s is(s) ij Nodes and channels representing a secondary device network; if i=j, s ij Representing a communication node; if i is not equal to j s ij Representing a secondary device channel; when s is ij When=0, no connection is indicated; when s is ij When=1, a connection is indicated;
establishing a secondary device-physical association matrixSecondary device-communication association matrix>The specific definition of the correlation matrix is described by the S-P matrix as follows:
as shown in the above formula, S-P ij ＝(S-P TP,ij S-P T,ij S-P P,mij ) To describe physical layer and twoA plurality of groups of information association relationships and interaction performances between the secondary equipment nodes; wherein S-P TP,ij Representing the topological association relationship between the physical node i and the secondary equipment node j, and representing the topological association relationship by 0 or 1, and S-P T,ij For interactive delay, and S-P P,mij And (5) representing the interaction reliability degree, and if no direct interaction relation exists between the secondary equipment and the physical node, setting the corresponding element to be 0.
The optimization problem described in step 4 is described as:wherein N is a load node set, ωi is the load weight on the i node, ++>Indicating the power loss at the inode.
The constraint conditions include:
power balance constraint:
U j ＝U i -(r ij P ij +x ij Q ij )
wherein w is j For the branch end node set taking the j node as the head end node, m j For the branch head end node set taking j node as end node, P j k and Q j k is the active power and the reactive power of the branch flowing from the j node to the k node respectively, z j k, t is the running state of the sectionalizing switch on the branch jk (the closed state is 1, and the open state is 0);active power and reactive power respectively transmitted to j nodes of power distribution network by transformer substation nodes>Active power and reactive power of j node respectively, ri j ,xi j The resistance and reactance values of the branches ij, U i ,U j Node voltage at ij node;
node voltage constraint:
U min ≤U i，t ≤U max
in U max ,U min The upper and lower limits of the node voltage;
branch capacity constraint:
wherein S is ij,max The maximum power allowed to pass on branch ij, i.e. the line rated capacity;
radial network constraints:
wherein B represents a set of all branches; n (N) n And N f The total number of system nodes and the total number of transformer substation root nodes are respectively; n (N) out,t Indicating the number of short-circuit fault lines.
The method for establishing the CPS security space-time defense framework of the power distribution network comprises the following steps: taking the time of CPS fault occurrence of the power distribution network as a sectional basis, dividing the event into three stages of advance, post and rush repair, and carrying out preventive reconstruction and source-load distribution, flow adjustment and communication path optimization by the advanced preventive control according to the overall operation state of the CPS of the power distribution network; the post emergency control comprises fault positioning and isolation, load transfer and island treatment measures and standby communication channel switching; the recovery control of the rush-repair stage comprises the steps of power and communication equipment fault rush-repair, UPS arrangement and establishment of an emergency communication scheduling support platform.
The invention has the beneficial effects that:
compared with the traditional power system safety analysis, the invention emphasizes the transmission and influence process of the information side faults on physical equipment and considers more comprehensively;
according to the invention, the CPS optimal operation problem of the power distribution network is solved by utilizing the proposed incidence matrix, a CPS safety space-time defense framework is established through the evolution of a typical fault set, the feasibility of the proposed scheme is reflected from the whole process of fault prevention, emergency isolation after fault occurrence and power supply recovery after fault, and the reliability and safety of the whole power distribution system are improved.
Drawings
Fig. 1 is a flowchart of the distribution network CPS security analysis based on the correlation matrix of the present invention.
Detailed Description
According to the invention, through identifying the cross-space security elements of the CPS of the power distribution network in a new form, a corresponding security evaluation system is established, an information physical combination expected fault screening method is provided, quantitative analysis is carried out on the CPS security of the power distribution network through defining an information-physical association characteristic matrix, an actual CPS operation strategy of the power distribution network is provided, and early warning of the CPS fault of the novel power distribution network and system self-adaptive recovery after the fault are realized through analyzing the whole process of the fault evolution. The method specifically comprises the following steps: with reference to figure 1 of the drawings,
s1: providing a safety element identification method by considering the causal logic relationship among information, physical and new forms of cross-space safety elements;
s2: based on the difference between CPS and the traditional power system of the power distribution network, a calculation method and an index system for CPS safety index fusion and expansion are provided;
s3: providing an information-physical combination fault screening method through analysis of information-physical topology and fault correlation;
s4: based on the information-physical fusion risk, defining a CPS (CPS association characteristic matrix) of the power distribution network, and establishing a CPS security analysis framework of the power distribution network;
s5: considering a combined fault reality scene calculation example, and using the method to establish a CPS security space-time defense framework of the power distribution network so as to realize the improvement of the system security.
The following describes the steps in detail:
s1: the security elements of the power grid CPS are divided into four major categories of an information system, a physical system, a new form space-crossing security element and an information physical security element in the electric power Internet of things in detail, and event-driven probability distribution models are respectively established. The method comprises the steps of performing event context analysis on a set of historical events, performing interaction analysis on an original event and the historical events, predicting future event development situations, and establishing an active complex event processing framework facing an active power distribution network CPS by analyzing event results and influences of the event results on the CPS of the electric power network, so that causal logic relations in all types of safety elements of a power grid are analyzed, and a complete event-driven chain is established.
S2: (1) When the power failure occurs, information failures occurring in the failure positioning, isolating and recovering stages are considered, and a system information physical combination expected accident set is established; (2) For each expected accident, using a dynamic model of the power information system to evaluate whether the communication network is blocked, and calculating a time-varying path of performance indexes (communication interruption, transmission delay, error code, data loss rate) of the information system in a shorter period of time; (3) fault evolution analysis: after the electric short-circuit fault occurs, the whole processes of positioning, isolating and recovering the power distribution automatic fault are considered, and the information and physical combination fault occurrence and the power losing area of the system are judged. (4) According to the established CPS safety index system of the power distribution network, according to different scene requirements, calculating safety indexes of CPS physical systems of the power distribution network, and sorting and screening serious faults.
S3: the correlation between information and physical faults is analyzed by constructing a physical correlation matrix P, a communication correlation matrix C, a secondary equipment management matrix S and a joint matrix among the three; and generating an information physical fault set with correlation by traversing the power system fault set, and summarizing and unifying the combined fault results of fault positioning, isolation and recovery stages.
The physical association matrix P, the communication association matrix C, the secondary device management matrix S, and the joint matrix between the three are specifically defined as follows:
(1) Physical association matrix P
According to the physical side topology structure, a directed topology matrix P is adopted m×m And the position relation of each physical node in the power distribution network topological structure is represented by two logic elements, namely 0 and 1.
Wherein: p is p ij Representing the association relation between the nodes i and j as elements in the physical association matrix; if i=j represents the physical node itself, p ij =1; if node i is connected with node j and node i is located upstream of node j, p ij ＝1。
(2) Communication association matrix C
Similarly, a bi-directional topology matrix C is employed for a communication network having n communication nodes n×n And (3) representing. When i=j represents an inode, c ij =0; when node i and node j have a connection, c ij Representing a communication condition of the link; otherwise c ij ＝[0,0,0,0]：
(3) Secondary device association matrix S
For a network containing k secondary devices, a kxk order matrix S is established.
Wherein: s is(s) ij Representing nodes and tunnels of a secondary device network. If i=j, s ij Representing a communication node; if i is not equal to j s ij Representing the secondary device channel. When s is ij When=0, no connection is indicated; when s is ij When=1, a connection is indicated.
Similarly, a secondary device-physical association matrix can be establishedSecondary device-communication association matrix>Etc. The specific definition of the correlation matrix is described below by taking the S-P matrix as an example.
As shown in the above formula, S-P ij ＝(S-P TP,ij S-P T,ij S-P P,mij ) To describe information association and interaction performance between physical layer and secondary equipment node. Wherein S-P TP,ij Representing the topological association relationship between the physical node i and the secondary equipment node j, and representing the topological association relationship by 0 or 1, and S-P T,ij For interactive delay, and S-P P,mij And (5) representing the interaction reliability degree, and if no direct interaction relation exists between the secondary equipment and the physical node, setting the corresponding element to be 0.
S4: establishing a CPS (control system) incidence matrix model of the power distribution network according to the step S3, and establishing a mathematical optimization problem with the aim of minimizing the total lost load power of the system; selecting typical faults in the combined faults in the S3 in a centralized manner, and respectively solving optimization problems to obtain safety evaluation indexes; and according to different scene requirements, sequencing the calculated fault results according to severity, and obtaining the key combined fault and key fragile power/information nodes under the corresponding scene by taking the most serious fault. The optimization problem can be described as:
wherein N is a load node set, omega i For i-nodesThe weight of the load is calculated,indicating the power loss at the inode.
Power balance constraint:
U j ＝U i -(r ij P ij +x ij Q ij )
wherein w is j For the branch end node set taking the j node as the head end node, m j For the branch head end node set taking j node as end node, P jk And Q is equal to jk Active power and reactive power of branches flowing from j node to k node respectively, z jk,t The operation state of the sectionalizer on the branch jk (the closed state is 1, and the open state is 0);active power and reactive power respectively transmitted to j nodes of power distribution network by transformer substation nodes>Active power and reactive power of j node respectively, ri j ,xi j The resistance and reactance values of the branches ij, U i ,U j The node voltage at the ij node.
Node voltage constraint:
U min ≤U i，t ≤U max
in U max ,U min Is the upper and lower limits of the node voltage.
Branch capacity constraint:
wherein S is ij,max The maximum power allowed to pass on branch ij, i.e. the line rated capacity.
Radial network constraints:
wherein B represents a set of all branches; n (N) n And N f The total number of system nodes and the total number of transformer substation root nodes are respectively; n (N) out,t Indicating the number of short-circuit fault lines.
S5: comprehensively considering the power and information method, taking the time of occurrence of CPS faults of the power distribution network as a sectional basis, dividing the events into three stages of advance, post and rush repair, and carrying out preventive reconstruction, source-load distribution, flow adjustment, communication path optimization and the like by the prior preventive control according to the overall operation state of the CPS of the power distribution network; the post emergency control comprises fault positioning and isolation, load transfer and island processing measures, standby communication channel switching and the like; the recovery control of the rush-repair stage comprises power and communication equipment fault rush-repair, UPS arrangement, establishment of an emergency communication scheduling support platform and the like.

Claims (8)

1. A novel power distribution network safety analysis and evaluation method based on an association characteristic matrix is characterized by comprising the following steps of: the method comprises the following steps:
step 1, establishing a complete event driven chain by considering information, physical and new form cross-space security elements and causal logic relations among the elements;
step 2, establishing a security index fused with CPS security indexes, and sequencing and screening serious faults;
step 3, analyzing the correlation between information and physical faults by constructing a physical correlation matrix P, a communication correlation matrix C, a secondary equipment management matrix S and a joint matrix among the three; generating an information physical fault set with correlation by traversing the power system fault set, and inducing and unifying the combined fault results of fault positioning, isolation and recovery stages;
step 4, establishing a mathematical optimization problem with the minimum system total loss load power as a target according to the CPS incidence matrix model of the power distribution network, and respectively solving the optimization problem to obtain a security evaluation index; according to different scene needs, sequencing the calculated fault results according to severity, and obtaining the most serious faults to obtain key combined faults, key fragile power and information nodes in corresponding scenes;
and 5, establishing a CPS security space-time defense framework of the power distribution network, and realizing system security improvement.
2. The novel power distribution network safety analysis and evaluation method based on the association characteristic matrix as claimed in claim 1, wherein the method comprises the following steps: the method for establishing the complete event driven chain comprises the following steps: dividing security elements of a power grid CPS into an information system, a physical system, a new form space-crossing security element and an information physical security element in the electric power Internet of things, and respectively establishing event-driven probability distribution models; the method comprises the steps of performing event context analysis on a set of historical events, performing interaction analysis on an original event and the historical events, predicting future event development situations, and establishing an active complex event processing framework facing an active power distribution network CPS by analyzing event results and influences of the event results on the CPS of the electric power network, so that causal logic relations in all types of safety elements of a power grid are analyzed, and a complete event-driven chain is established.
3. The novel power distribution network safety analysis and evaluation method based on the association characteristic matrix as claimed in claim 1, wherein the method comprises the following steps: step 2, establishing a security index of CPS security index fusion, and sorting and screening serious faults specifically comprises the following steps:
step 2.1, when the power failure occurs, the information failure in the failure positioning, isolating and recovering stages is considered, and a system information physical combination expected accident set is established;
step 2.2, aiming at each expected accident, using a dynamic model of the power information system to evaluate whether the communication network is blocked, and calculating a time-varying path of the performance index of the information system in a later period;
step 2.3, after the occurrence of the power short-circuit fault, considering the whole process of positioning, isolating and recovering the power distribution automation fault, judging the occurrence of the information and physical combination fault, and determining the power-losing area of the system;
and 2.4, calculating the security index of the CPS physical system of the power distribution network according to the CPS security index system of the power distribution network and different scene requirements, and sequencing and screening serious faults.
4. The novel power distribution network security analysis and evaluation method based on the association characteristic matrix as claimed in claim 3, wherein the method comprises the following steps of: the performance index of the information system comprises communication interruption, transmission delay, error code and data loss rate.
5. The novel power distribution network safety analysis and evaluation method based on the association characteristic matrix as claimed in claim 1, wherein the method comprises the following steps: the construction of the physical association matrix P, the communication association matrix C, the secondary equipment management matrix S and the joint matrix among the three comprises the following steps:
physical association matrix P:
according to the physical side topology structure, a directed topology matrix P is adopted m×m Two logic elements of 0 and 1 represent the position relation of each physical node in the power distribution network topological structure;
wherein: p is p ij Representing the association relation between the nodes i and j as elements in the physical association matrix; if i=j represents the physical node bookBody, p ij =1; if node i is connected with node j and node i is located upstream of node j, p ij ＝1；
Communication incidence matrix C:
using a bi-directional topology matrix C for a communication network having n communication nodes n×n A representation; when i=j represents an inode, c ij =0; when node i and node j have a connection, c ij Representing a communication condition of the link; otherwise c ij ＝[0,0,0,0]：
Secondary device association matrix S
For a network containing k secondary devices, a kxk order matrix S is established.
Wherein: s is(s) ij Nodes and channels representing a secondary device network; if i=j, s ij Representing a communication node; if i is not equal to j s ij Representing a secondary device channel; when s is ij When=0, no connection is indicated; when s is ij When=1, a connection is indicated;
establishing a secondary device-physical association matrixSecondary device-communication association matrix>The specific definition of the correlation matrix is described by the S-P matrix as follows:
as shown in the above formula, S-P ij ＝(S-P TP,ij S-P T,ij S-P P,mij ) A plurality of groups for describing information association relation and interaction performance between the physical layer and the secondary equipment node; wherein S-P TP,ij Representing the topological association relationship between the physical node i and the secondary equipment node j, and representing the topological association relationship by 0 or 1, and S-P T,ij For interactive delay, and S-P P,mij And (5) representing the interaction reliability degree, and if no direct interaction relation exists between the secondary equipment and the physical node, setting the corresponding element to be 0.
6. The novel power distribution network safety analysis and evaluation method based on the association characteristic matrix as claimed in claim 1, wherein the method comprises the following steps: the optimization problem described in step 4 is described as:
wherein N is a load node set, omega i For the load weight on the inode,indicating the power loss at the inode.
7. The novel power distribution network security analysis and evaluation method based on the association characteristic matrix as claimed in claim 6, wherein the method comprises the following steps: the constraint conditions include:
power balance constraint:
U j ＝U i -(r ij P ij +x ij Q ij )
wherein w is j For the branch end node set taking the j node as the head end node, m j For the branch head end node set taking j node as end node, P jk And Q is equal to jk Active power and reactive power of branches flowing from j node to k node respectively, z jk,t The operation state of the sectionalizer on the branch jk (the closed state is 1, and the open state is 0);active power and reactive power respectively transmitted to j nodes of power distribution network by transformer substation nodes>Active power and reactive power of j node respectively, r ij ,xi j The resistance and reactance values of the branches ij, U i ,U j Node voltage at ij node;
node voltage constraint:
U min ≤U i，t ≤U max
in U max ,U min The upper and lower limits of the node voltage;
branch capacity constraint:
wherein S is ij,max The maximum power allowed to pass on branch ij, i.e. the line rated capacity;
radial network constraints:
wherein B represents a set of all branches; n (N) n And N f The total number of system nodes and the total number of transformer substation root nodes are respectively; n (N) out,t Indicating the number of short-circuit fault lines.
8. The novel power distribution network safety analysis and evaluation method based on the association characteristic matrix as claimed in claim 1, wherein the method comprises the following steps: the method for establishing the CPS security space-time defense framework of the power distribution network comprises the following steps: taking the time of CPS fault occurrence of the power distribution network as a sectional basis, dividing the event into three stages of advance, post and rush repair, and carrying out preventive reconstruction and source-load distribution, flow adjustment and communication path optimization by the advanced preventive control according to the overall operation state of the CPS of the power distribution network; the post emergency control comprises fault positioning and isolation, load transfer and island treatment measures and standby communication channel switching; the recovery control of the rush-repair stage comprises the steps of power and communication equipment fault rush-repair, UPS arrangement and establishment of an emergency communication scheduling support platform.
CN202311607714.4A 2023-11-27 2023-11-27 Novel power distribution network security analysis and evaluation method based on association characteristic matrix Pending CN117638891A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117872228A (en) * 2024-03-12 2024-04-12 武汉格蓝若智能技术股份有限公司 Online fault closing diagnosis method and system for voltage parallel device in transformer substation

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117872228A (en) * 2024-03-12 2024-04-12 武汉格蓝若智能技术股份有限公司 Online fault closing diagnosis method and system for voltage parallel device in transformer substation

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