CN113224755A - Power grid static safety analysis method and system under electric vehicle fast charging load access - Google Patents

Power grid static safety analysis method and system under electric vehicle fast charging load access Download PDF

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CN113224755A
CN113224755A CN202110523237.8A CN202110523237A CN113224755A CN 113224755 A CN113224755 A CN 113224755A CN 202110523237 A CN202110523237 A CN 202110523237A CN 113224755 A CN113224755 A CN 113224755A
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power grid
condition
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fast charging
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CN113224755B (en
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李相俊
李煜阳
张杨
贾学翠
吴国诚
张雪松
倪筹帷
全慧
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Zhejiang Electric Power Co Ltd
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Zhejiang Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

Abstract

The invention provides a power grid static safety analysis method, a system, electronic equipment and a storage medium under the condition of fast charging load access of an electric automobile, and solves the problems that the existing power grid static safety analysis method under the condition of fast charging load access of the electric automobile cannot reflect the impact of fast charging load on a power grid, cannot take the change of a running mode after the power grid fails into consideration, cannot accurately reflect the real condition of the power grid after the failure, and cannot take effective preventive measures because the impact of high-power and intermittent characteristics of the fast charging load of the electric automobile on the power grid is not taken into account, so that the expected accident analysis method at the present stage cannot accurately reflect the most serious failure. The static safety analysis method of the power grid under the condition of fast charging load access of the electric automobile comprises the following steps: collecting power grid load data; inputting the power grid load data into a preset double-layer planning model, and outputting the worst condition of the power grid; and obtaining the most serious fault under the expected accident analysis based on the worst condition of the power grid.

Description

Power grid static safety analysis method and system under electric vehicle fast charging load access
Technical Field
The invention relates to the technical field of fault analysis, in particular to a static safety analysis method and system for a power grid under fast charging access of an electric vehicle.
Background
At present, the keeping quantity of electric automobiles is continuously increased worldwide, only 2018 for one year, the global sales quantity of the electric automobiles exceeds two million, and the global sales quantity of the electric automobiles is expected to reach ten million in 2025. By 2040 years, the sales volume of electric automobiles will account for more than half of the automobiles sold all year round. With the rapid increase of the number of the electric vehicles and the matched fast charging stations thereof, the electric vehicles become a novel important load of a future power grid. The load of the quick charging station has the intermittent characteristic, so that the load is different from the traditional load, and a new challenge is caused to the bearing capacity of a power grid.
The currently applied static security analysis methods mainly include a direct current cut-off method and a compensation method. The direct current cut-off method judges whether the branch is out of limit or not according to the result of load flow calculation after the network admittance matrix is modified. The compensation method simulates the influence of the branch circuit breaking by introducing current or power to two end points of the breaking branch circuit, and carries out correction calculation on an original network equation. The two methods have the common characteristics that the operation mode change of the power grid after the fault occurs is not taken into account, for example, the influence of the output of a unit, the topological structure of the power grid and the like on the operation of the power grid after the fault is changed, the real situation of the power grid after the fault cannot be truly reflected, and meanwhile, the impact of the high-power and intermittent characteristics of the quick charging load of the electric automobile on the power grid cannot be taken into account. Therefore, a static safety analysis method which can simultaneously take the combined action of the fault and the power grid regulation and the influence of the quick charge access of the electric automobile on the power grid into consideration is needed to be researched.
Disclosure of Invention
In view of the above, embodiments of the present invention provide a method, a system, an electronic device, and a storage medium for analyzing static security of a power grid under access of a fast charging load of an electric vehicle, which solve the problems that the current method for analyzing static security of a power grid under access of a fast charging load of an electric vehicle cannot reflect impact of the fast charging load on the power grid, cannot take into account changes in a running mode after a power grid fault, cannot accurately reflect the real situation of the power grid after the fault, and cannot take effective preventive measures in advance because the impact of high-power and intermittent characteristics of the fast charging load of the electric vehicle on the power grid cannot be taken into account, which results in an expected accident analysis method at the present stage.
The static safety analysis method of the power grid under the condition of fast charging load access of the electric automobile provided by the embodiment of the invention comprises the following steps:
collecting power grid load data;
inputting the power grid load data into a preset double-layer planning model, and outputting the worst condition of the power grid;
and obtaining the most serious fault under the expected accident analysis based on the worst condition of the power grid.
In one embodiment, the method for obtaining the most serious fault under the expected accident analysis based on the worst condition of the power grid includes the following specific steps:
carrying out linearization processing on the worst condition of the power grid to obtain a solvable linear mixed integer programming problem;
obtaining an equivalent single-layer programming problem based on the solvable linear mixed integer programming problem;
and solving the equivalent single-layer planning problem to obtain the most serious fault under the analysis of the input expected accident.
In one embodiment, the method includes constructing a two-layer planning model, and the preset two-layer planning model is constructed by the following steps:
analyzing daily load conditions and quick charging conditions of the electric automobile, and refining the worst condition of a power grid;
establishing an upper-layer optimization problem which takes the maximum system load shedding as a target and the maximum expected accident number as a constraint;
establishing a lower-layer optimization problem which takes the minimized system load shedding as a target and each operation condition of a power grid as a constraint,
and applying the upper-layer optimization problem and the lower-layer optimization problem to a power grid under the worst condition to construct a double-layer planning model.
In one embodiment, the fast charge access time is the same as the load peak time in the worst case of the grid.
In one embodiment, the preset double-layer planning model is constructed by using a static security analysis method based on a double-layer game model of starkeberg.
In one embodiment, the formula of the two-tier planning model includes:
upper layer problem objective function:
Figure BDA0003064787000000021
lower layer problem objective function:
Figure BDA0003064787000000031
wherein the content of the first and second substances,
Figure BDA0003064787000000032
and (4) cutting the load size for the node n at the time t.
The utility model provides a static safety analysis system of electric wire netting under electric automobile fast charge load inserts, includes:
the acquisition module is configured to acquire power grid load data;
the model conversion module is configured to input the power grid load data into a double-layer planning model and output the worst condition of a power grid;
and the execution module is configured to obtain the most serious fault under the expected accident analysis based on the worst condition of the power grid.
In one embodiment, the execution module is further configured to:
carrying out linearization processing on the worst condition of the power grid to obtain a solvable linear mixed integer programming problem;
obtaining an equivalent single-layer programming problem based on the solvable linear mixed integer programming problem;
and solving the equivalent single-layer planning problem to obtain the most serious fault under the analysis of the input expected accident.
An electronic device, wherein a computer program is stored in a computer-readable storage medium, and when the computer program is executed by a processor, the electronic device is configured to implement the method for analyzing static security of a power grid under fast charging access of an electric vehicle according to any one of the above descriptions.
A computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the computer program is used to implement any one of the above methods for analyzing static security of a power grid under fast charging access of an electric vehicle.
The embodiment of the invention provides a power grid static safety analysis method and system under fast charging access of an electric vehicle, electronic equipment and a storage medium. The static safety analysis method of the power grid under the access of the electric automobile quick charging load comprises the steps of collecting power grid load data; inputting the power grid load data into a preset double-layer planning model, and outputting the worst condition of the power grid; and obtaining the most serious fault under the expected accident analysis based on the worst condition of the power grid. The method for analyzing the weakest link of the power grid under the condition of high-proportion electric vehicle quick charging access is easy to realize and master in practical engineering, the worst expected fault extracted by the method is closer to the real condition power grid fault so as to accurately provide the information of the weakest link of the power grid, and whether the system has potential safety hazards or not is predicted by means of the analysis method so as to take corresponding measures as soon as possible to prevent the system from generating serious safety accidents.
Drawings
Fig. 1 is a schematic flow chart of a method for analyzing static security of a power grid under a fast charging load access of an electric vehicle according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of a method for analyzing static security of a power grid under fast charging access of an electric vehicle according to another embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a static security analysis system of a power grid under the fast charging access of an electric vehicle according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
The embodiment provides a static security analysis method for a power grid under the condition of fast charging access of an electric vehicle, which is shown in fig. 1 and fig. 2, and includes the following steps:
and step S01, collecting power grid load data. The power grid load data comprises the collection of the daily load condition of the power grid and the quick charging condition of the electric automobile, in addition, the power grid load data can also comprise other types of data, the specific type of the power grid load data can be set according to the actual condition, and the specific type of the power grid load data is not limited.
And step S02, inputting the power grid load data into a preset double-layer planning model and outputting the worst condition of the power grid.
Before inputting the power grid load data into the double-layer planning model, constructing and constructing the double-layer planning model. Optionally, the static security analysis method including a double-layer game model based on starkeberg constructs the double-layer planning model. Wherein constructing the two-level planning model comprises:
step S021: and analyzing the daily load condition and the quick charge condition of the electric automobile, and refining the worst condition of the power grid. Wherein, a daily load curve and a quick charge condition are extracted, the quick charge access time is the same as the load peak time under the worst condition,
tcharge＝tpeak (1)
in the formula, tchargeFor the fast charging access time, t, of the electric vehiclepeakThe peak load occurrence time.
Step S022: establishing an upper-layer optimization problem which takes the maximum system load shedding as a target and the maximum expected accident number as constraints, and establishing a lower-layer optimization problem which takes the minimum system load shedding as a target and each operation condition of the power grid as constraints. Wherein, the upper layer optimization problem can maximize the load of the system at a certain moment by deciding to cut off the element. The lower layer problem is known as a breaking element, and the system can be minimized to meet the problem at a certain time by means of adjusting the output of a machine set and the like.
Step S023: and applying the upper-layer optimization problem and the lower-layer optimization problem to a power grid under the worst condition to construct a double-layer planning model.
The formula of the two-layer planning model comprises:
upper layer problem objective function:
Figure BDA0003064787000000051
lower layer problem objective function:
Figure BDA0003064787000000052
Figure BDA0003064787000000053
vl(t)∈{0，1} (3)
Σt∈TΣl∈L(1-vl(t))≤K (4)
Figure BDA0003064787000000054
Figure BDA0003064787000000055
Figure BDA0003064787000000056
Figure BDA0003064787000000057
Figure BDA0003064787000000058
pg(t)-pg(t-1)≤RUg 10)
pg(t-1)-pg(t)≤RDg 11)
wherein, formula (2) is an upper layer problem objective function, the target bit of which maximizes the size of the total system load shedding, vl is a decision variable determining the operation state of the line in formula (3), vl ═ 0 represents the line disconnection, vl ═ 1 represents the normal operation of the line, formula (4) determines the number K of branch disconnections, K is an artificially set expected fault number value, formula (5) is a lower layer planning problem objective function, which aims at minimizing the system load shedding under the known disconnection element conditions, and formulas (6) - (12) are the grid operation conditions. Equation (6) is the node power balance constraint,
Figure BDA0003064787000000059
the sum of the motor output of the connecting node n,
Figure BDA00030647870000000510
the sum of the power coming out of node n at time t,
Figure BDA00030647870000000511
and (2) the node n is cut in load size at the time t, the formula (7) is the relation between the flowing power of the line l and the phase angle, the formula (8) restricts the branch power not to be larger than the line capacity, the formula (9) restricts the node cut load size between 0 and the node load size, and the formulas (10) and (11) are climbing restriction of the thermal power unit.
And step S03, obtaining the most serious fault under the expected accident analysis based on the worst condition of the power grid.
Obtaining the most serious fault under the expected accident analysis based on the worst condition of the power grid comprises the following steps:
and S031, performing linearization treatment on the worst condition of the power grid to obtain a solvable linear mixed integer programming problem. Wherein nonlinear condition (7) is transformed, equation (7) is equivalent to the linear constraints in equations (12), (13):
Figure BDA0003064787000000061
Figure BDA0003064787000000062
and S022, obtaining an equivalent single-layer programming problem based on the solvable linear mixed integer programming problem. Applying the mathematical transformation idea, the formula for transforming the lower layer problem into the upper layer problem constraint can be:
Figure BDA0003064787000000063
Figure BDA0003064787000000064
Figure BDA0003064787000000065
Figure BDA0003064787000000066
Figure BDA0003064787000000067
Figure BDA0003064787000000068
Figure BDA0003064787000000069
Figure BDA00030647870000000610
Figure BDA00030647870000000611
Figure BDA00030647870000000612
Figure BDA00030647870000000613
Figure BDA00030647870000000614
Figure BDA00030647870000000615
Figure BDA00030647870000000616
Figure BDA00030647870000000617
f g(pg(t)-pg(t-1)-RUg＝0 (29)
Figure BDA00030647870000000618
equations (14) - (18) are dual feasible constraint variables, (19) - (30) are complementary relaxation conditions, and the other variables are lagrange multipliers.
And step 033, solving the equivalent single-layer planning problem to obtain the most serious fault under the analysis of the predicted accident. After the conversion, the (2) - (4), (6), (8) - (30) can be directly solved to obtain the most serious fault under the analysis of the predicted accident.
Due to the adoption of the technical scheme, the influence of the quick charging load of the electric automobile and the change of the running state after the power grid fault can be comprehensively considered, the influence of the expected accident on the power grid can be more accurately evaluated, and the weakest link of the power grid can be more accurately found, so that corresponding measures can be taken for the weak link to prevent the system from generating serious safety accidents.
Example two
Referring to fig. 3, the present embodiment provides a static safety analysis system 100 for a power grid under the condition of fast charging access of an electric vehicle, including an acquisition module 10, a model transformation module 20, and an execution module 30.
The acquisition module 10 is configured to acquire power grid load data;
the model conversion module 20 is configured to input the power grid load data into a preset double-layer planning model and output the worst condition of the power grid;
and the execution module 30 is configured to obtain the most serious fault under the expected accident analysis based on the worst condition of the power grid.
After the acquisition module 10 acquires the power grid load data, the power grid load data is sent to the model conversion module 20, the model conversion module 20 inputs the power grid load data into the double-layer planning module, the double-layer planning module analyzes and processes the power grid load data and outputs the worst condition of the power grid, and the execution module 30 obtains the worst fault under the expected accident analysis according to the worst condition of the power grid.
Wherein the execution module 30 is further configured to perform linearization processing on the worst case of the power grid to obtain a solvable linear mixed integer programming problem; obtaining an equivalent single-layer programming problem based on the solvable linear mixed integer programming problem, optionally, applying a mathematical theorem to mathematically transform the solvable linear mixed integer programming problem to obtain an equivalent single-layer programming problem; and solving the equivalent single-layer planning problem to obtain the most serious fault under the analysis of the input expected accident.
After receiving the worst condition of the power grid, the execution module 30 performs linearization processing on the worst condition of the power grid to obtain a solvable linear mixed integer programming problem; then obtaining an equivalent single-layer programming problem based on the solvable linear mixed integer programming problem, optionally, applying a mathematical theorem to perform mathematical transformation on the solvable linear mixed integer programming problem to obtain the equivalent single-layer programming problem; and finally, solving the equivalent single-layer planning problem to obtain the most serious fault under the analysis of the input expected accident.
The power grid static safety analysis system under the access of the electric automobile quick charging load provided by the embodiment can comprehensively consider the influence of the electric automobile quick charging load and the change of the running state after the power grid fault, can more accurately evaluate the influence of the expected accident on the power grid, and more accurately find the weakest link of the power grid so as to take corresponding measures aiming at the weak link to prevent the system from generating major safety accidents.
EXAMPLE III
The embodiment provides an electronic device, which may include a memory and a processor, where the memory stores a computer program, and the computer program, when executed by the processor, implements the method for static security analysis of a power grid under fast charging access of an electric vehicle according to an embodiment. It is to be appreciated that the electronic device can also include input/output (I/O) interfaces, as well as communication components.
The processor is used for executing the power grid static safety analysis method under the condition of fast charging load access of the electric automobile in the first embodiment. All or part of the steps in (a). The memory is used to store various types of data, which may include, for example, instructions for any application or method in the electronic device, as well as application-related data.
The Processor may be an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and is configured to execute the method for analyzing static security of a power grid under fast charging load access of an electric vehicle in the first embodiment.
The Memory may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk.
Example four
The present embodiments also provide a computer-readable storage medium. Each functional unit in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium.
Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention.
And the aforementioned storage medium includes: flash memory, hard disk, multimedia card, card type memory (e.g., SD or DX memory, etc.), Random Access Memory (RAM), Static Random Access Memory (SRAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), Programmable Read Only Memory (PROM), magnetic memory, magnetic disk, optical disk, server, APP application mall, etc., various media that can store program check codes, on which computer programs are stored, which when executed by a processor can implement the following method steps:
step S01: collecting power grid load data;
step S02: inputting the power grid load data into a preset double-layer planning model, and outputting the worst condition of the power grid;
step S03: and obtaining the most serious fault under the expected accident analysis based on the worst condition of the power grid.
The specific implementation and the resulting effects can be described in the first embodiment, and the present invention is not described herein again.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The foregoing describes the general principles of the present application in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present application are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present application. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the foregoing disclosure is not intended to be exhaustive or to limit the disclosure to the precise details disclosed.
The block diagrams of devices, apparatuses, systems referred to in this application are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art.
It should also be noted that in the devices, apparatuses, and methods of the present application, the components or steps may be decomposed and/or recombined. These decompositions and/or recombinations are to be considered as equivalents of the present application.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the application. Thus, the present application is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise. All directional indicators in the embodiments of the present application (such as upper, lower, left, right, front, rear, top, bottom … …) are only used to explain the relative positional relationship between the components, the movement, etc. in a particular posture (as shown in the drawings), and if the particular posture is changed, the directional indicator is changed accordingly. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Furthermore, reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims. The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and the like that are within the spirit and principle of the present invention are included in the present invention. The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and the like that are within the spirit and principle of the present invention are included in the present invention.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and the like that are within the spirit and principle of the present invention are included in the present invention.

Claims (10)

1. A static security analysis method of a power grid under the condition of fast charging load access of an electric automobile is characterized in that,
collecting power grid load data;
inputting the power grid load data into a preset double-layer planning model, and outputting the worst condition of the power grid;
and obtaining the most serious fault under the expected accident analysis based on the worst condition of the power grid.
2. The method for analyzing the static safety of the power grid under the condition of fast charging access of the electric automobile according to claim 1, wherein the method for obtaining the most serious fault under the condition of expected accident analysis based on the worst condition of the power grid comprises the following specific steps:
carrying out linearization processing on the worst condition of the power grid to obtain a solvable linear mixed integer programming problem;
obtaining an equivalent single-layer programming problem based on the solvable linear mixed integer programming problem;
and solving the equivalent single-layer planning problem to obtain the most serious fault under the analysis of the input expected accident.
3. The method for analyzing the static safety of the power grid under the condition of fast charge access of the electric automobile according to claim 1, wherein the preset double-layer planning model is constructed by the following steps:
analyzing daily load conditions and quick charging conditions of the electric automobile, and refining the worst condition of a power grid;
establishing an upper-layer optimization problem which takes the maximum system load shedding as a target and the maximum expected accident number as a constraint;
establishing a lower-layer optimization problem which takes the minimized system load shedding as a target and each operation condition of a power grid as a constraint;
and applying the upper-layer optimization problem and the lower-layer optimization problem to a power grid under the worst condition to construct a double-layer planning model.
4. The static safety analysis method for the power grid under the condition of fast charging access of the electric automobile according to claim 3, wherein under the worst condition of the power grid, the fast charging access time is the same as the load peak time.
5. The method for analyzing the static safety of the power grid under the condition of fast charge access of the electric automobile according to claim 1, wherein the preset double-layer planning model is constructed by adopting a static safety analysis method of a double-layer game model based on Starkelberg.
6. The method for analyzing the static safety of the power grid under the condition of fast charge access of the electric automobile according to claim 1, wherein the formula of the double-layer planning model comprises the following steps:
upper layer problem objective function:
Figure FDA0003064786990000021
lower layer problem objective function:
Figure FDA0003064786990000022
wherein the content of the first and second substances,
Figure FDA0003064786990000023
and (4) cutting the load size for the node n at the time t.
7. Electric automobile fills static safety analysis system of electric wire netting under load access soon, its characterized in that includes:
the acquisition module is configured to acquire power grid load data;
the model conversion module is configured to input the power grid load data into a preset double-layer planning model and output the worst condition of the power grid;
and the execution module is configured to obtain the most serious fault under the expected accident analysis based on the worst condition of the power grid.
8. The system for analyzing static security of power grid under fast charging access of electric vehicle of claim 7, wherein the execution module is further configured to:
carrying out linearization processing on the worst condition of the power grid to obtain a solvable linear mixed integer programming problem;
obtaining an equivalent single-layer programming problem based on the solvable linear mixed integer programming problem;
and solving the equivalent single-layer planning problem to obtain the most serious fault under the analysis of the input expected accident.
9. An electronic device, wherein the computer-readable storage medium stores a computer program, and the computer program is used to implement the method for static security analysis of power grid under fast charging access of electric vehicle according to any one of claims 1 to 6 when executed by a processor.
10. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the computer program is used to implement the method for analyzing static security of a power grid under fast charging access of an electric vehicle according to any one of claims 1 to 6.
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