CN113283703B - Power grid prevention control decision generation method and system, storage medium and computing device - Google Patents

Power grid prevention control decision generation method and system, storage medium and computing device Download PDF

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CN113283703B
CN113283703B CN202110440437.7A CN202110440437A CN113283703B CN 113283703 B CN113283703 B CN 113283703B CN 202110440437 A CN202110440437 A CN 202110440437A CN 113283703 B CN113283703 B CN 113283703B
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power grid
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CN113283703A (en
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黄燕
常康
郁琛
刘韶峰
吴迪
叶海峰
黄太贵
马金辉
刘辉
于洋
周明
林润
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State Grid Corp of China SGCC
State Grid Anhui Electric Power Co Ltd
Nari Technology Co Ltd
State Grid Electric Power Research Institute
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State Grid Corp of China SGCC
State Grid Anhui Electric Power Co Ltd
Nari Technology Co Ltd
State Grid Electric Power Research Institute
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention discloses a power grid prevention control decision generation method, which comprises the steps of obtaining all expected fault sets of a power grid; calculating the load rate of the power grid after all fault branches in the expected fault set are disconnected aiming at each expected fault set, and calculating the static safety risk of the expected fault set to the power grid according to the load rate of the power grid and the occurrence probability of the expected fault set; screening all expected fault sets according to the static safety risk; and according to the screened expected fault set, carrying out safety and stability analysis on the power grid to obtain a power grid prevention control decision. Corresponding systems, storage media, and computing devices are also disclosed. The method comprehensively considers the occurrence probability of the expected fault set and the expected fault set to screen the static safety risk of the power grid, obtains the power grid prevention and control decision according to the screened expected fault set, improves the rationality of screening multiple serious fault scene fault sets under natural disasters, and improves the rationality of the power grid prevention and control decision.

Description

Power grid prevention control decision generation method and system, storage medium and computing device
Technical Field
The invention relates to a power grid prevention control decision generation method, a power grid prevention control decision generation system, a storage medium and computing equipment, and belongs to the technical field of power system dispatching operation control.
Background
The power transmission corridor alternating current and direct current lines are densely distributed, crossed and erected on the same pole, so that the probability of multiple serious faults caused by single line faults and overline faults among lines with different voltage levels is increased, in addition, in recent years, geological disasters and natural disasters such as thunder and lightning, typhoon, ice coating and the like are multiple and frequently sent and have concurrent trends, under the conditions of extreme severe weather, natural disasters and the like, multiple serious faults of multiple lines and multiple devices which trip out rapidly and successively due to the coupling effect easily occur, and great threat is brought to the safe operation of an alternating current and direct current hybrid large power grid. How to dynamically screen out high-risk multiple faults under various disasters is a premise for generating a power grid prevention control decision, and has important significance for guaranteeing safe and stable operation of a large power grid under the trend of increasingly dense power transmission channels and frequent natural disasters.
The screening of high-risk fault sets in the conventional decision generation methods is all achieved from engineering, such as CN200810243660.7 and CN201310132812.7, mainly emphasizes on considering safety and stability margins, and a method for comprehensively considering the probability of the fault sets and static safety margins is still lacking at present.
Disclosure of Invention
The invention provides a power grid prevention control decision generation method, a power grid prevention control decision generation system, a storage medium and computing equipment, and solves the problems disclosed in the background art.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
the power grid prevention control decision generation method comprises the following steps:
acquiring all expected fault sets of a power grid;
calculating the load rate of the power grid after all fault branches in the expected fault set are disconnected aiming at each expected fault set, and calculating the static safety risk of the expected fault set to the power grid according to the load rate of the power grid and the occurrence probability of the expected fault set;
screening all expected fault sets according to the static safety risk;
and according to the screened expected fault set, carrying out safety and stability analysis on the power grid to obtain a power grid prevention control decision.
Calculating the load rate of the power grid after the disconnection of all fault branches in the expected fault set, and specifically comprises the following steps,
determining the switching-on and switching-off sequence of all fault branches in an expected fault set according to the load rate of the fault branches;
sequentially disconnecting each fault branch according to the disconnection sequence, and calculating the active increment of each normal branch after all fault branches are disconnected;
calculating the active power of each normal branch after all fault branches are disconnected according to the active power increment of each normal branch after all fault branches are disconnected;
and calculating the load rate of each normal branch after all the fault branches are disconnected according to the active power of each normal branch after all the fault branches are disconnected, and taking the maximum load rate as the load rate of the power grid.
The calculation formula of the active power increment of each normal branch after all the fault branches are disconnected is as follows,
Figure BDA0003034797980000021
wherein the content of the first and second substances,
Figure BDA0003034797980000022
set B of predicted faults x Normal branch L after all fault branches are cut off j Active power increment of (c); k is an expected failure set B x The number of failed legs;
Figure BDA0003034797980000023
for breaking the distribution factor, the faulty branch B is indicated x(l) After the power is cut off, the power on the power is transferred to a normal branch L j Ratio of (a) to (b), x l 、x j Are respectively fault branch B x(l) And normal branch L j Reactance of (2), X l-l Are respectively fault branch B x(l) Self-impedance at both ends, X j-l Is a normal branch L j Both ends about faulty branch B x(l) A mutual impedance at both ends;
Figure BDA0003034797980000031
set B for expected failure x After l-1 fault branches are disconnected in the middle preamble, the fault branch B x(l) The active power flow of (1).
The calculation formula of the power of each normal branch after all the fault branches are switched off is as follows,
Figure BDA0003034797980000032
wherein the content of the first and second substances,
Figure BDA0003034797980000033
set B of predicted faults x Normal branch L after all fault branches are cut off j Active power increase ofAn amount;
Figure BDA0003034797980000034
set B for expected failure x Normal branch L after all fault branches are cut off j Is active;
Figure BDA0003034797980000035
is a normal branch L j In the expected failure set B x The initial active before the disconnection.
The calculation formula of the load rate of each normal branch after all the fault branches are disconnected is as follows,
Figure BDA0003034797980000036
wherein the content of the first and second substances,
Figure BDA0003034797980000039
set B for expected failure x Normal branch L after all fault branches are cut off j The load factor of (d);
Figure BDA0003034797980000037
set B of predicted faults x Normal branch L after all fault branches are cut off j Is active;
Figure BDA0003034797980000038
is a normal branch L j The power transmission quota.
The static safety risk of an envisioned fault set to the grid is the product of the grid load rate and the probability of occurrence of the envisioned fault set.
And screening all expected fault sets according to the static safety risks, wherein the specific process is to obtain all the static safety risks greater than a threshold value, and the expected fault sets corresponding to the static safety risks are the screened expected fault sets.
The power grid prevention control decision generation system comprises:
an acquisition module: acquiring all expected fault sets of a power grid;
a static security risk calculation module: calculating the load rate of the power grid after all fault branches in the expected fault set are disconnected aiming at each expected fault set, and calculating the static safety risk of the expected fault set to the power grid according to the load rate of the power grid and the occurrence probability of the expected fault set;
a screening module: screening all expected fault sets according to the static safety risk;
an analysis module: and according to the screened expected fault set, carrying out safety and stability analysis on the power grid to obtain a power grid prevention control decision.
A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform a grid preventative control decision generating method.
A computing device comprising one or more processors, one or more memories, and one or more programs stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs including instructions for performing a grid prevention control decision generation method.
The invention achieves the following beneficial effects: the method comprehensively considers the occurrence probability of the expected fault set and the expected fault set to screen the static safety risk of the power grid, obtains the power grid prevention and control decision according to the screened expected fault set, improves the rationality of screening multiple serious fault scene fault sets under natural disasters, and improves the rationality of the power grid prevention and control decision.
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FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The power grid prevention control decision generation method comprises the following steps:
step 1, acquiring all expected fault sets of a power grid;
step 2, calculating the load rate of the power grid after all fault branches in the expected fault set are disconnected aiming at each expected fault set, and calculating the static safety risk of the expected fault set to the power grid according to the load rate of the power grid and the occurrence probability of the expected fault set;
step 3, screening all expected failure sets according to the static safety risk;
and 4, carrying out safety and stability analysis on the power grid according to the screened expected fault set to obtain a power grid prevention control decision.
The method comprehensively considers the occurrence probability of the expected fault set and the expected fault set to screen the static safety risk of the power grid, obtains the power grid prevention and control decision according to the screened expected fault set, improves the rationality of screening multiple serious fault scene fault sets under natural disasters, and improves the rationality of the power grid prevention and control decision.
In the above method, it is envisioned that the fault set includes one or more faulty branches, e.g., as B x Represents a set of expected faults, B x The first fault branch is denoted as B x(l) Wherein l ∈ [1, k ]]K is an expected failure set B x And the number of the middle fault branches is the normal branches except the fault branches with the expected fault concentration in the power grid.
Supposing that the fault branches in the expected fault set are sequentially disconnected, when the first fault branch is disconnected, an active power flow (hereinafter referred to as "active power") is transferred to the subsequent fault branch B x(m) (m∈[l+1,k]) And on the normal branch, calculating the load rate of the power grid after the disconnection of all fault branches in the expected fault set according to the change of the active power, wherein the specific process is as follows:
11) determining the switching-on and switching-off sequence of all fault branches in an expected fault set according to the load rate of the fault branches;
after the fault occurs, each fault branch has a certain disconnection sequence, and the disconnection sequence is determined according to the load rate.
The fault branch is cut off for the first time and is the fault branch with the largest load rate in the expected fault set;
and when the fault branch is subsequently disconnected, calculating the load flow and the load rate of each branch after the power flow is transferred to all other fault branches and normal branches after the failure branch is disconnected. And in the subsequent fault branches, the fault branch with the largest load rate is the next round of cut-off fault branch.
12) Sequentially disconnecting each fault branch according to the disconnection sequence, and calculating the active increment of each normal branch after all fault branches are disconnected;
calculating the formula:
Figure BDA0003034797980000061
wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0003034797980000062
set B of predicted faults x Normal branch L after all fault branches are cut off j Active power increment of (c);
Figure BDA0003034797980000063
for breaking the distribution factor, the faulty branch B is indicated x(l) After the power is cut off, the power on the power is transferred to a normal branch L j Ratio of (a) to (b), x l 、x j Are respectively fault branch B x(l) And normal branch L j Reactance of (2), X l-l Are respectively fault branch B x(l) Self-impedance at both ends, X j-l Is a normal branch L j Both ends about faulty branch B x(l) A mutual impedance across;
Figure BDA0003034797980000064
set B for expected failure x After l-1 fault branches are disconnected in the middle preamble, the fault branch B x(l) The active power flow of (2); when l is equal to 1, the ratio of the total of the two,
Figure BDA0003034797980000065
Figure BDA0003034797980000067
for the faulty branch B x(l) The initial active power of (1); when l is>When the pressure is 1, the pressure is higher,
Figure BDA0003034797980000066
for the faulty branch B x(l-1) The active to fault branch B on the breaker x(l) The break distribution factor of (c).
13) Calculating the active power of each normal branch after all fault branches are disconnected according to the active power increment of each normal branch after all fault branches are disconnected;
namely that
Figure BDA0003034797980000071
Wherein the content of the first and second substances,
Figure BDA0003034797980000072
set B of predicted faults x Normal branch L after all fault branches are cut off j Is active;
Figure BDA0003034797980000073
is a normal branch L j In the expected failure set B x The initial active before the disconnection.
14) Calculating the load rate of each normal branch after all fault branches are disconnected according to the active power of each normal branch after all fault branches are disconnected, and taking the maximum load rate as the load rate of the power grid;
the load rate is the ratio of the active power to the power transmission limit after the start, so the load rate of each normal branch is as follows:
Figure BDA0003034797980000074
wherein the content of the first and second substances,
Figure BDA0003034797980000075
set B of predicted faults x Normal branch L after all fault branches are cut off j Load factor of;
Figure BDA0003034797980000076
Is a normal branch L j The power transmission limit of (d);
sequencing all normal branch load rates to obtain the maximum load rate, and taking the maximum load rate as the load rate of the whole power grid, namely
Figure BDA0003034797980000077
Wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0003034797980000078
set B for expected failure x The load rate of the power grid after all fault branches are disconnected, and N is the number of branches in the power grid; in the expected failure set B x In the event of occurrence, the other legs in which the concentration of faults is expected are regarded as normal legs.
The static safety risk of the expected fault set to the power grid is the product of the load rate of the power grid and the occurrence probability of the expected fault set, and therefore according to the formula
Figure BDA0003034797980000079
A static safety risk of the envisioned fault set to the grid may be calculated, wherein,
Figure BDA00030347979800000710
to predict the failure set occurrence probability.
And after the static safety risks are calculated, screening the static safety risks according to a preset threshold value to obtain all the static safety risks larger than the threshold value, defining expected fault sets corresponding to the static safety risks as screened expected fault sets, defining the screened expected fault sets as high-risk fault sets, and sequencing according to the screened static safety risks to obtain the high-risk fault set.
And (4) assuming that the power grid has faults in the high-risk fault set, and performing safety and stability analysis on the power grid to obtain a power grid prevention control decision.
As shown in fig. 1, the method for generating a power grid preventive control decision specifically includes:
1) acquiring all expected fault sets of a power grid, namely an expected fault set;
2) calculating the load rate of the power grid after all fault branches in the expected fault set are disconnected;
3) calculating the static safety risk of the expected fault set to the power grid according to the load rate of the power grid and the occurrence probability of the expected fault set;
4) judging whether the static safety risk is larger than a threshold value, if so, adding the corresponding expected fault set into a high-risk fault set, and otherwise, turning to 5);
5) judging whether the expected fault set is traversed or not, if so, sequencing according to the static safety risk to obtain a high-risk fault set which is sequenced, and turning to 6); if not, turning to 2) aiming at the next expected failure set;
6) and according to the high-risk fault set, carrying out safety and stability analysis on the power grid to obtain a power grid prevention control decision.
According to the method, the occurrence probability of the expected fault set and the expected fault set are comprehensively considered to carry out high-risk fault set screening on the static safety risk of the power grid, the screening reasonability of multiple serious fault scene fault sets under natural disasters is improved, and the reasonability of power grid prevention and control decisions is improved.
The power grid prevention control decision generation system comprises:
an acquisition module: acquiring all expected fault sets of a power grid;
a static security risk calculation module: calculating the load rate of the power grid after all fault branches in the expected fault set are disconnected aiming at each expected fault set, and calculating the static safety risk of the expected fault set to the power grid according to the load rate of the power grid and the occurrence probability of the expected fault set;
a screening module: screening all expected fault sets according to the static safety risk;
an analysis module: and according to the screened expected fault set, carrying out safety and stability analysis on the power grid to obtain a power grid prevention control decision.
A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform a grid preventative control decision generating method.
A computing device comprising one or more processors, one or more memories, and one or more programs stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs including instructions for performing a grid prevention control decision generation method.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.

Claims (8)

1. The power grid prevention control decision generation method is characterized by comprising the following steps:
acquiring all expected fault sets of a power grid;
calculating the load rate of the power grid after all fault branches in the expected fault set are disconnected aiming at each expected fault set, and calculating the static safety risk of the expected fault set to the power grid according to the load rate of the power grid and the occurrence probability of the expected fault set;
calculating the load rate of the power grid after all fault branches in the expected fault set are disconnected, wherein the method comprises the steps of determining the disconnection sequence of all fault branches in the expected fault set according to the load rate of the fault branches; sequentially disconnecting each fault branch according to the disconnection sequence, and calculating the active increment of each normal branch after all fault branches are disconnected; calculating the active power of each normal branch after all fault branches are disconnected according to the active power increment of each normal branch after all fault branches are disconnected; calculating the load rate of each normal branch after all fault branches are disconnected according to the active power of each normal branch after all fault branches are disconnected, and taking the maximum load rate as the load rate of the power grid;
the calculation formula of the active increment of each normal branch after all fault branches are disconnected is as follows:
Figure FDA0003741331800000011
wherein, the first and the second end of the pipe are connected with each other,
Figure FDA0003741331800000012
set B of predicted faults x Normal branch L after all fault branches are cut off j Active power increment of (a), k is an expected failure set B x The number of failed legs in the group,
Figure FDA0003741331800000013
for breaking the distribution factor, the faulty branch B is indicated x(l) The power on the power is transferred to a normal branch L after the power is cut off j Ratio of (a) to (b), x l 、x j Are respectively a fault branch B x(l) And normal branch L j Reactance of, X l-l Are respectively fault branch B x(l) Self-impedance at both ends, X j-l Is a normal branch L j Both ends about faulty branch B x(l) The mutual impedance at the two ends of the resistor,
Figure FDA0003741331800000014
set B of predicted faults x After l-1 fault branches are disconnected in the middle preamble, the fault branch B x(l) The active power flow of (2);
screening all expected fault sets according to the static safety risk;
and according to the screened expected fault set, carrying out safety and stability analysis on the power grid to obtain a power grid prevention control decision.
2. The power grid preventive control decision generating method according to claim 1, characterized by comprising: the calculation formula of the power of each normal branch after all the fault branches are switched off is as follows,
Figure FDA0003741331800000021
wherein the content of the first and second substances,
Figure FDA0003741331800000022
set B of predicted faults x Normal branch L after all fault branches are cut off j Is active;
Figure FDA0003741331800000023
is a normal branch L j In the expected failure set B x The initial active before the disconnection.
3. The grid preventive control decision making method according to claim 1, characterized in that: the calculation formula of the load rate of each normal branch after all the fault branches are disconnected is as follows,
Figure FDA0003741331800000024
wherein the content of the first and second substances,
Figure FDA0003741331800000025
set B of predicted faults x Normal branch L after all fault branches are cut off j The load factor of (d);
Figure FDA0003741331800000026
set B of predicted faults x Normal branch L after all fault branches are cut off j Is active;
Figure FDA0003741331800000027
is a normal branch L j The power transmission quota.
4. The grid preventive control decision making method according to claim 1, characterized in that: the static safety risk of an envisioned fault set to the grid is the product of the grid load rate and the probability of occurrence of the envisioned fault set.
5. The power grid preventive control decision generating method according to claim 1, characterized by comprising: screening all expected failure sets according to the static safety risk, and the specific process is that,
and acquiring all static safety risks greater than the threshold value, wherein the expected fault sets corresponding to the static safety risks are screened expected fault sets.
6. Power grid prevention control decision generation system, characterized by, includes:
an acquisition module: acquiring all expected fault sets of a power grid;
a static security risk calculation module: calculating the load rate of the power grid after all fault branches in the expected fault set are disconnected aiming at each expected fault set, and calculating the static safety risk of the expected fault set to the power grid according to the load rate of the power grid and the occurrence probability of the expected fault set;
calculating the load rate of the power grid after all fault branches in the expected fault set are disconnected, wherein the method comprises the steps of determining the disconnection sequence of all fault branches in the expected fault set according to the load rate of the fault branches; sequentially disconnecting each fault branch according to the disconnection sequence, and calculating the active increment of each normal branch after all fault branches are disconnected; calculating the active power of each normal branch after all fault branches are disconnected according to the active power increment of each normal branch after all fault branches are disconnected; calculating the load rate of each normal branch after all fault branches are disconnected according to the active power of each normal branch after all fault branches are disconnected, and taking the maximum load rate as the load rate of the power grid;
the calculation formula of the active power increment of each normal branch after all fault branches are disconnected is as follows:
Figure FDA0003741331800000031
wherein, the first and the second end of the pipe are connected with each other,
Figure FDA0003741331800000032
set B for expected failure x Normal branch L after all fault branches are cut off j K is an expected failure set B x The number of failed legs in the middle of the branch,
Figure FDA0003741331800000033
for breaking the distribution factor, the faulty branch B is indicated x(l) After the power is cut off, the power on the power is transferred to a normal branch L j Ratio of (a) to (b), x l 、x j Are respectively fault branch B x(l) And normal branch L j Reactance of, X l-l Are respectively fault branch B x(l) Self-impedance at both ends, X j-l Is a normal branch L j Both ends about faulty branch B x(l) The mutual impedance at the two ends of the resistor,
Figure FDA0003741331800000034
set B of predicted faults x After l-1 fault branches are disconnected in the middle preamble, the fault branch B x(l) The active power flow of (2);
a screening module: screening all expected fault sets according to the static safety risk;
an analysis module: and according to the screened expected fault set, carrying out safety and stability analysis on the power grid to obtain a power grid prevention control decision.
7. A computer readable storage medium storing one or more programs, characterized in that: the one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any of the methods of claims 1-5.
8. A computing device, comprising:
one or more processors, one or more memories, and one or more programs stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods of claims 1-5.
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