CN112018765A - Auxiliary decision method and system for scale wind power participating in black start - Google Patents
Auxiliary decision method and system for scale wind power participating in black start Download PDFInfo
- Publication number
- CN112018765A CN112018765A CN202010966299.1A CN202010966299A CN112018765A CN 112018765 A CN112018765 A CN 112018765A CN 202010966299 A CN202010966299 A CN 202010966299A CN 112018765 A CN112018765 A CN 112018765A
- Authority
- CN
- China
- Prior art keywords
- black start
- power
- black
- scheme
- power grid
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 241001672018 Cercomela melanura Species 0.000 title claims abstract description 165
- 238000000034 method Methods 0.000 title claims abstract description 58
- 238000010586 diagram Methods 0.000 claims abstract description 41
- 238000012795 verification Methods 0.000 claims description 33
- 238000011084 recovery Methods 0.000 claims description 27
- 238000005192 partition Methods 0.000 claims description 5
- 238000012216 screening Methods 0.000 claims description 2
- 230000008569 process Effects 0.000 description 13
- 238000004088 simulation Methods 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 4
- 230000010354 integration Effects 0.000 description 4
- 230000000007 visual effect Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000010248 power generation Methods 0.000 description 3
- 238000006467 substitution reaction Methods 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
-
- 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]
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to an auxiliary decision method and an auxiliary decision system for scale wind power participating in black start, wherein the method comprises the following steps: the method comprises the steps of receiving a power grid data loading instruction of a user side, drawing a power grid geographical wiring diagram based on a diagram-analog integrated model of the power system according to the power grid data loading instruction, obtaining a black start initial scheme library according to the power grid geographical wiring diagram and a black start initial scheme generation principle, determining a target black start scheme list from the black start initial scheme library, and recovering the power system according to the target black start scheme list, so that the decision time of a dispatcher is effectively shortened, and the decision error rate is reduced.
Description
Technical Field
The invention belongs to the technical field of black start of a power grid, and particularly relates to an auxiliary decision method and an auxiliary decision system for participation of large-scale wind power in black start.
Background
The electric power system is a most-scaled artificial system with the most complex structure in the world, and as of 2017, the installed capacity of power generation in China reaches 17.8 hundred million kilowatts, wherein the installed capacities of thermal power, hydroelectric power, wind power, grid-connected solar power generation and nuclear power respectively reach 11.0, 3.4, 1.6, 1.3 and 0.3582 hundred million kilowatts, and the occupation ratios are respectively 62.29%, 19.25%, 9.06%, 7.36% and 2.03%. The access of a high proportion of renewable energy sources further exacerbates the complexity and operational risks of the power system. On the power supply side, the problem of new energy grid connection consumption is more prominent, and the difficulty of real-time balancing of new energy fluctuation such as wind, light and the like is higher due to insufficient flexible adjustment of the power supply; on the load side, the interaction between the user and the power grid is insufficient, so that the consumption of new energy and the performance of asset benefits are seriously restricted; on the power grid side, the new power supply-load form greatly increases the running risk of the power grid, the coupling degree of the alternating current power grid and the direct current power grid is strengthened, the interaction influence is intensified, the systematic risk is increased, and major power failure accidents are frequent.
In order to effectively and quickly process a large-area power failure event and reduce the influence and loss caused by the large-area power failure to the maximum extent, each provincial power dispatching control center sets up a power grid black start scheme in the district, however, most of the black start schemes are fixed modes at present, and need to be continuously adjusted manually, which wastes time and labor.
Disclosure of Invention
In order to at least solve the problems in the prior art, the invention provides an auxiliary decision method and an auxiliary decision system for large-scale wind power participating in black start, so as to improve the decision-making strain capacity of a dispatcher during black start and reduce the time cost and the error rate of start decision.
The technical scheme provided by the invention is as follows:
on one hand, an assistant decision method for scale wind power to participate in black start comprises the following steps:
receiving a power grid data loading instruction of a user side;
drawing a power grid geographical wiring diagram based on a diagram-analog integrated model of the power system according to the power grid data loading instruction;
according to the power grid geographical wiring diagram, obtaining a black-start initial scheme library according to a black-start initial scheme generation principle;
determining a target black start scheme list from the black start initial scheme library;
and recovering the power system according to the target black start scheme list.
Optionally, before the receiving the power grid data loading instruction of the user side, the method further includes:
establishing a power grid data format dictionary according to the root file;
reading the power grid data file into the power grid data format dictionary line by line in a separated manner according to the definition rule of the power grid data format dictionary;
and traversing the power grid data format dictionary, dividing the power system into partitions, stations and equipment, and constructing a graph-analog integrated model of the power system.
Optionally, the obtaining a black-start initial scheme library according to the grid geographical wiring diagram and by using a black-start initial scheme generation principle includes:
searching all paths from the starting point to the terminal point set by taking a black start power supply in the power grid geographical wiring diagram as the starting point and all power plants in the power grid geographical wiring diagram as the terminal point set;
and collecting all paths to obtain the black start initial scheme library.
Optionally, the determining a target black start scheme list from the black start initial scheme library includes:
verifying the starting schemes in the black-start initial scheme library in batches, and screening feasible black-start schemes to form a feasible scheme library;
and evaluating each scheme in the feasible scheme library to obtain the target black start scheme list.
Optionally, the batch verification of the starting schemes in the black-start initial scheme library includes:
self-excitation verification when the generator charges a no-load long line;
performing overvoltage verification during no-load long line charging, wherein the overvoltage verification comprises power frequency overvoltage verification and operation overvoltage verification;
checking the input load;
and verifying the system stability when the started unit is connected to the grid.
Optionally, the recovering the power system according to the target black start scheme list includes:
executing the instruction according to the black start scheme to generate an operation ticket;
and sending the operation ticket to a corresponding station so that the station correspondingly executes black start operation.
Optionally, after the sending the operation ticket to the corresponding station, the method further includes:
receiving feedback information of a station executing black start operation;
and updating the graph-analog-digital integrated model of the power system according to the feedback information, and displaying the live information of the current power grid in real time.
Optionally, the above-mentioned auxiliary decision method for scale wind power to participate in black start further includes:
and generating a graphical operation interface of the black start scheme folder and the files so that a user can check, modify and delete the path and the verification result of the black start scheme through the graphical operation interface.
Optionally, before the power system is restored according to the target black start scheme list, the method further includes:
determining an optimal unit recovery sequence according to the target black start scheme list;
determining the optimal wind power access capacity based on the current system state and wind power plant data according to the recovery sequence;
and accessing the wind power plant according to the optimal wind power access capacity so as to recover the power system.
In another aspect, an assistant decision system for scale wind power to participate in black start comprises:
the receiving module is used for receiving a power grid data loading instruction of a user side;
the geographic wiring diagram drawing module is used for drawing a power grid geographic wiring diagram based on a diagram-analog integrated model of a power system according to the power grid data loading instruction;
the black-start initial scheme library generating module is used for obtaining a black-start initial scheme library according to the power grid geographical wiring diagram and a black-start initial scheme generating principle;
the determining module is used for determining a target black start scheme list from the black start initial scheme library;
and the recovery module is used for recovering the power system according to the target black start scheme list.
The invention has the beneficial effects that:
the invention provides an auxiliary decision method and an auxiliary decision system for scale wind power participation black start, wherein the method comprises the steps of receiving a power grid data loading instruction of a user side; according to the power grid data loading instruction, drawing a power grid geographical wiring diagram based on a diagram-analog integrated model of the power system; according to a power grid geographical wiring diagram, obtaining a black start initial scheme library according to a black start initial scheme generation principle; the method comprises the steps of determining a target black start scheme list from a black start initial scheme library, recovering the power system according to the target black start scheme list, achieving that a user can complete quick automatic black start only through simple operation, automatically generating batch black start schemes and checking the batch black start schemes without manual adjustment of the user, improving decision strain capacity of a dispatcher, and reducing time cost and error rate of start decision.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of an auxiliary decision method for participating in black start by large-scale wind power according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the power system illustrating the integration of the analog and digital;
FIG. 3 is a schematic diagram of a black start operation dynamic verification process;
fig. 4 is a schematic structural diagram of an assistant decision system for scale wind power participating in black start according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
Fig. 1 is a flowchart of an auxiliary decision method for participating in black start by large-scale wind power provided by an embodiment of the present invention, fig. 2 is a schematic diagram of a principle of analog-digital integration of a power system, and fig. 3 is a schematic diagram of a dynamic verification process of black start operation.
As shown in fig. 1, the assistant decision method for scale wind power to participate in black start provided by this embodiment includes the following steps:
and S11, receiving a power grid data loading instruction of a user side.
Specifically, after a blackout occurs, the operation that a user needs to execute first is to send a load instruction of the power grid data by clicking the operation of loading the power grid data, the operation is simple, additional thought analysis is not needed, and only a button for clicking the power grid data is needed to be loaded on an interface.
And S12, drawing a power grid geographical wiring diagram based on the diagram-analog integrated model of the power system according to the power grid data loading instruction.
And after receiving a loading instruction of the power grid data, reading the real-time data of the power grid, and drawing a power grid geographical wiring diagram based on a diagram-analog-digital integrated model of the power system. Specifically, before a user sends and loads power grid data, the operation of constructing a graph-analog-digital integrated model of the power system is included, and the specific construction process can be divided into the steps of establishing a power grid data format dictionary according to a root file; the power grid data file is read in the power grid data format dictionary line by line according to the definition rule of the power grid data format dictionary; and traversing the power grid data format dictionary, dividing the power system into partitions, stations and equipment, and constructing a graph-analog integrated model of the power system.
Microsoft Visual Studio is the integrated development environment of the Windows platform application program which is most popular in the world at present, and the C # language is the preferred language developed by NET, and integrates the advantages of the Visual Basic language and the C + + language. Therefore, the system adopts Visual Studio 2010 to design a graphical interface, calls GDI + to draw a geographical wiring diagram, and adopts C # language programming to realize the operation logic of the system.
For the PSD-BPA, data files are a power flow calculation file (a file suffix is dat, hereinafter referred to as dat file) and a stability calculation file (a file suffix is swi, hereinafter referred to as swi file). The dat file comprises static information of nodes and branches of the power system, the swi file comprises static information of units and loads of the power system, and the swi file can also selectively comprise dynamic information of fault operation. If the swi file has no dynamic information of fault operation, the swi file and the dat file matched with the swi file can completely simulate the state (instant break) of the power system at a certain moment in the recovery process.
The data files of the PSD-BPA are all given in the form of power data cards according to rows, and the format of each type of data card is specified by data format files pfcard. In order to reconstruct a real power system in a virtual environment of a computer, the computer needs to understand the whole power system, which can be realized by the following 3 steps: 1) establishing a power grid data format dictionary according to the format file; 2) the power grid data file is segmented line by line and read into a power grid data dictionary according to the rule defined by the power grid data format dictionary; 3) and traversing the power grid data dictionary to realize topology analysis and station division. Thus, the whole power system is reconstructed in the memory data structure of the computer, and the power system is divided into 3 levels of partitions, stations and equipment by the bus-station dictionary and the station-partition dictionary, so that the graph-analog-digital integration of the power system is finally realized, the logic of the graph-analog-digital integration is shown in fig. 2, wherein the boundary division of the stations is realized by dividing the whole power grid by using an L card (symmetrical line model) with the reactance of more than 0.001 (with the reference capacity of 100MVA) or 0.0001 (with the reference capacity of 1000MVA) on the network topology, and the type division of the stations is necessarily performed according to unique equipment in the stations, such as photovoltaic power stations including PV cards (photovoltaic cell models). The system is based on the memory database, and has access speed at least 6 times faster than that of the conventional disk database.
In order to enable the graph-analog-digital integrated model of the power system to be more accurate, a wind power plant output simulation module can be further arranged, wherein the input of the module is the operation control mode, the predicted output data and the historical prediction error of each wind power plant, and the output of the module is the model parameter of each related data card of the wind power plant. PSD-BPA provides more wind power models, the closest model is selected according to the actual situation in actual use, and various data cards required for describing a wind power plant are shown in Table 1. In the system recovery process, most wind farms are not provided with enough energy storage units and cannot be started automatically, but can be started quickly under the support of relatively small starting power, so that the wind farms play a role of started power plants in the system recovery process. Because the output of the wind power plant changes along with the wind speed, the parameters of the data card need to be dynamically refreshed according to the latest reported predicted output data.
Table 1:
and (4) integrating graph modulus of the power system. The method comprises the steps of establishing a model and corresponding primitives for each power device, binding the models and the corresponding primitives with data of the power devices, reconstructing a real power system in a virtual environment of a computer, enabling a user to intuitively realize operations such as line charging, plant station recovery, device increase and decrease maintenance and the like based on a geographical wiring diagram, and obtaining one or more output characterization curves in a certain future period of time according to predicted output data and historical prediction errors reported by a wind power plant in real time through output simulation of the wind power plant so as to determine output model parameters of the wind power plant and apply the output model parameters to scheme verification.
And S13, obtaining a black-start initial scheme library according to the power grid geographical wiring diagram and the black-start initial scheme generation principle.
Specifically, the generating process includes: and manually or automatically searching all started units and all optional paths which can be started from the starting point to the end point set by taking the black start power supply in the power grid geographical wiring diagram as the starting point and all power plants in the power grid geographical wiring diagram as the end point set, and collecting all paths to obtain a black start initial scheme library.
And S14, determining a target black start scheme list from the black start initial scheme library.
Specifically, the determining process is to check the starting schemes in the black start initial scheme library in batches, screen the feasible black start schemes to form a feasible scheme library, and evaluate each scheme in the feasible scheme library to obtain a target black start scheme list. The starting scheme in the batch verification black-start initial scheme library comprises the following steps: self-excitation verification when the generator charges a no-load long line; performing overvoltage verification during no-load long line charging, wherein the overvoltage verification comprises power frequency overvoltage verification and operation overvoltage verification; checking the input load; and verifying the system stability when the started unit is connected to the grid. The five checks are performed in sequence, and as long as one does not pass, the subsequent check is stopped immediately. The adopted verification method is different for different verification contents, and is specifically shown in table 2.
Table 2:
the feasible black start scheme firstly ensures that the black start power supply is communicated with a started power plant and is short in distance, the distance can be represented by topological distance (the number of stations) or electrical distance (the sum of reactance or susceptance of a path), and the upper limit value of the distance is given by an expert as a default value and is allowed to be modified by a user. In the black start stage, when the black start unit is empty and long in the line to the service high-voltage bus of the started power plant, the system is most prone to problems of abnormal tide, self-excitation, power frequency overvoltage, operation overvoltage and the like, so that the system time section at the moment is used as an initial scheme of black start to carry out verification most typically.
To sum up, the pre-generation module of the black start scheme searches for a path (which may be multiple paths) from the starting point to the end point by using the distance upper limit value as a search radius, using the low-voltage bus of the specified black start unit as a search starting point, and using the plant high-voltage bus of the started power plant within the search radius as an end point. And for each path, generating 1 dat file and 1 swi file by the related data card, namely an initial scheme of black start. The Floyd shortest path algorithm is generally adopted for limiting the search radius, and the front K shortest path algorithm is generally adopted for searching the path from the starting point to the end point.
And S15, restoring the power system according to the target black start scheme list.
The specific process is that the instruction is executed according to the black start scheme to generate an operation ticket; the operation ticket is sent to the corresponding station, so that the station correspondingly executes the black start operation, and feedback information of the station executing the black start operation is received in real time; and updating the graph-analog integrated model of the power system according to the feedback information, and displaying the live information of the current power grid in real time.
Specifically, before the power system is restored according to the target black start scheme list, the method further includes: determining an optimal unit recovery sequence according to the target black start scheme list, determining an optimal wind power access capacity based on the current system state and wind power plant data according to the recovery sequence, and accessing a wind power plant according to the optimal wind power access capacity to recover the power system. In the process of determining the optimal unit recovery sequence, firstly, whether a wind power plant is selected to participate in the recovery sequence optimization is judged, and if not, a conventional unit recovery sequence is generated. If the wind power plant is selected to participate in the optimal unit recovery sequence, firstly, establishing a double-layer planning model for unit recovery, and aiming at maximizing the total power generation amount of the unit, maximizing the importance of a target grid frame and minimizing the risk of path recovery operation; then, wind power output scene simulation method based on cloud similarity is used for calculating uncertainty of wind conditions, and the calculation result shows that the cloud similarity can well give consideration to trend similarity and distribution similarity of wind power output sequences, historical similar output sequences of predicted wind power output sequences can be effectively screened out by using the method, and effective simulation of future wind power output is realized; the example results also show that the participation of the wind power plant greatly influences the optimal sequence of the unit recovery, improves the system recovery effect, provides a macroscopic opportunity basis for the grid connection of the wind power plant, and optimizes the unit recovery sequence of the wind power system with high permeability.
And then, sequentially recovering each unit, carrying out operation verification on operations such as path charging and station service power recovery of each step, generating a scheduling instruction after the verification is passed, operating an actual power grid, regularly refreshing and solving the wind power capacity suitable for access, issuing each scheduling instruction to each wind power plant, and accessing wind power according to the quantity. Based on a graphical interface, the black-start operation deduction module gradually recovers the power station of the power-lost area from the charged area by utilizing network topology analysis and continuously in an adjacent expansion mode. And sequentially recovering according to the optimal unit recovery sequence, when the black start operation is deduced to a certain time discontinuous surface, if all verification passes, storing the section, updating system data by using the load input during load input verification, then charging a new line to generate a new time section, and then verifying the new time section, wherein the black start operation deduction process is a sequential verification process of the time sections along with the system recovery operation, and a schematic diagram of the process is shown in fig. 3. According to the state of the current system and data reported by the wind power plant, the maximum wind power access capacity, the safe wind power access capacity and the optimal wind power access capacity are determined, and the unit recovery sequence optimization result considering the participation of the wind power plant is provided for a dispatcher to refer to so as to realize quick recovery after major power failure.
The invention provides an auxiliary decision method for scale wind power participation black start, which comprises the steps of receiving a power grid data loading instruction of a user side; according to the power grid data loading instruction, drawing a power grid geographical wiring diagram based on a diagram-analog integrated model of the power system; according to a power grid geographical wiring diagram, obtaining a black start initial scheme library according to a black start initial scheme generation principle; the method comprises the steps of determining a target black start scheme list from a black start initial scheme library, recovering the power system according to the target black start scheme list, achieving that a user can complete quick automatic black start only through simple operation, automatically generating batch black start schemes and checking the batch black start schemes without manual adjustment of the user, improving decision strain capacity of a dispatcher, and reducing time cost and error rate of start decision.
Further, this embodiment further includes: and generating a graphical operation interface of the black start scheme folder and the files so that a user can check, modify and delete the path and the verification result of the black start scheme through the graphical operation interface. As mentioned above, each black-start initial scheme is composed of 1 dat file and 1 swi file, and each black-start verified scheme is composed of 1 dat file, 1 swi file, and a verification result file. In order to realize the objectification management of the black-start scheme, the decision system establishes 1 'initial scheme library' and 1 'checked scheme library' folder, establishes 1 independent folder for each scheme in the 2 folders, and stores a dat file, a swi file and a check result file related to the scheme in the folder. The black start scheme inquiry and management module provides a graphical operation interface of a black start scheme folder and a file, and realizes synchronous operation of the scheme name and the scheme folder by constructing one-to-one mapping between the scheme name and the scheme folder. When a user modifies or deletes a scheme in the decision system, the corresponding scheme folder content on the hard disk is modified or deleted, which is convenient for the actual operation of the user.
The system is developed by utilizing Visual Studio through a simulation calculation kernel based on PSD-BPA and ATP, and the system can automatically generate and check black start schemes in batches to obtain feasible black start schemes for a dispatcher to adopt; the system can also determine proper wind power grid-connected time and access capacity according to the current system state and wind power reported data, and the design concept and the implementation method of the system can be popularized and applied to developing a black-start auxiliary decision-making system of a high-proportion renewable energy power system, so that the decision-making strain capacity of a dispatcher after heavy power failure is improved, and the time cost and the error rate of black-start decision-making are reduced.
Based on the same general inventive concept, the application also protects an assistant decision system for the scale wind power to participate in black start.
Fig. 4 is a schematic structural diagram of an assistant decision system for scale wind power participating in black start according to an embodiment of the present invention.
As shown in fig. 4, the decision-making assisting system for scale wind power to participate in black start in this embodiment includes:
the receiving module 10 is configured to receive a power grid data loading instruction of a user side;
the geographical wiring diagram drawing module 20 is used for drawing a geographical wiring diagram of the power grid based on a diagram-analog integrated model of the power system according to the power grid data loading instruction;
the black-start initial scheme library generating module 30 is configured to obtain a black-start initial scheme library according to a grid geographical wiring diagram and a black-start initial scheme generating principle;
a determining module 40, configured to determine a target black start scheme list from the black start initial scheme library;
and the recovery module 50 is configured to recover the power system according to the target black start scheme list.
The invention provides an auxiliary decision system method for scale wind power participation black start, which comprises the steps of receiving a power grid data loading instruction of a user side; according to the power grid data loading instruction, drawing a power grid geographical wiring diagram based on a diagram-analog integrated model of the power system; according to a power grid geographical wiring diagram, obtaining a black start initial scheme library according to a black start initial scheme generation principle; the method comprises the steps of determining a target black start scheme list from a black start initial scheme library, recovering the power system according to the target black start scheme list, achieving that a user can complete quick automatic black start only through simple operation, automatically generating batch black start schemes and checking the batch black start schemes without manual adjustment of the user, improving decision strain capacity of a dispatcher, and reducing time cost and error rate of start decision.
Embodiments of the system part have been described in detail in relation to corresponding method embodiments, and therefore will not be described in detail in relation to corresponding system parts, which can be understood by cross-reference.
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 appended claims.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. An assistant decision method for scale wind power to participate in black start is characterized by comprising the following steps:
receiving a power grid data loading instruction of a user side;
drawing a power grid geographical wiring diagram based on a diagram-analog integrated model of the power system according to the power grid data loading instruction;
according to the power grid geographical wiring diagram, obtaining a black-start initial scheme library according to a black-start initial scheme generation principle;
determining a target black start scheme list from the black start initial scheme library;
and recovering the power system according to the target black start scheme list.
2. The method for assisting in decision making of scale wind power participation in black start according to claim 1, wherein before receiving a grid data loading instruction of a user side, the method further comprises:
establishing a power grid data format dictionary according to the root file;
reading the power grid data file into the power grid data format dictionary line by line in a separated manner according to the definition rule of the power grid data format dictionary;
and traversing the power grid data format dictionary, dividing the power system into partitions, stations and equipment, and constructing a graph-analog integrated model of the power system.
3. The method for assisting in decision making of scale wind power participation in black start according to claim 1, wherein the obtaining of the black start initial scheme library from the black start initial scheme generation principle according to the grid geographical wiring diagram comprises:
searching all paths from the starting point to the terminal point set by taking a black start power supply in the power grid geographical wiring diagram as the starting point and all power plants in the power grid geographical wiring diagram as the terminal point set;
and collecting all paths to obtain the black start initial scheme library.
4. The method for assisting in decision making of scale wind power participation in black start according to claim 3, wherein the determining a target black start scheme list from the black start initial scheme library comprises:
verifying the starting schemes in the black-start initial scheme library in batches, and screening feasible black-start schemes to form a feasible scheme library;
and evaluating each scheme in the feasible scheme library to obtain the target black start scheme list.
5. The method for assisting in decision making of scale wind power participation in black start according to claim 4, wherein the batch verification of the start-up plans in the black start initial plan library comprises:
self-excitation verification when the generator charges a no-load long line;
performing overvoltage verification during no-load long line charging, wherein the overvoltage verification comprises power frequency overvoltage verification and operation overvoltage verification;
checking the input load;
and verifying the system stability when the started unit is connected to the grid.
6. The method for assisting in decision making of scale wind power participation in black start according to claim 1, wherein the restoring the power system according to the target black start scheme list comprises:
executing the instruction according to the black start scheme to generate an operation ticket;
and sending the operation ticket to a corresponding station so that the station correspondingly executes black start operation.
7. The method for assisting in decision making of scale wind power participation in black start according to claim 6, wherein after the sending of the operation ticket to the corresponding plant station, further comprising:
receiving feedback information of a station executing black start operation;
and updating the graph-analog-digital integrated model of the power system according to the feedback information, and displaying the live information of the current power grid in real time.
8. The method for assisting in decision making of scale wind power participation in black start according to claim 1, further comprising:
and generating a graphical operation interface of the black start scheme folder and the files so that a user can check, modify and delete the path and the verification result of the black start scheme through the graphical operation interface.
9. The assistant decision method for scale wind power participation in black start according to claim 1, wherein before the power system is restored according to the target black start scheme list, the method further comprises:
determining an optimal unit recovery sequence according to the target black start scheme list;
determining the optimal wind power access capacity based on the current system state and wind power plant data according to the recovery sequence;
and accessing the wind power plant according to the optimal wind power access capacity so as to recover the power system.
10. An aid decision making system for scale wind power to participate in black start is characterized by comprising:
the receiving module is used for receiving a power grid data loading instruction of a user side;
the geographic wiring diagram drawing module is used for drawing a power grid geographic wiring diagram based on a diagram-analog integrated model of a power system according to the power grid data loading instruction;
the black-start initial scheme library generating module is used for obtaining a black-start initial scheme library according to the power grid geographical wiring diagram and a black-start initial scheme generating principle;
the determining module is used for determining a target black start scheme list from the black start initial scheme library;
and the recovery module is used for recovering the power system according to the target black start scheme list.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010966299.1A CN112018765A (en) | 2020-09-15 | 2020-09-15 | Auxiliary decision method and system for scale wind power participating in black start |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010966299.1A CN112018765A (en) | 2020-09-15 | 2020-09-15 | Auxiliary decision method and system for scale wind power participating in black start |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112018765A true CN112018765A (en) | 2020-12-01 |
Family
ID=73522854
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010966299.1A Pending CN112018765A (en) | 2020-09-15 | 2020-09-15 | Auxiliary decision method and system for scale wind power participating in black start |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112018765A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103296677A (en) * | 2013-05-09 | 2013-09-11 | 国家电网公司 | On-line large power grid recovery assistant decision-making system |
| CN104636810A (en) * | 2013-11-08 | 2015-05-20 | 云南电力调度控制中心 | Power system black-start online recovery decision support platform |
| CN105515044A (en) * | 2015-12-22 | 2016-04-20 | 国家电网公司 | Black-start assistant decision-making system based on DTS |
-
2020
- 2020-09-15 CN CN202010966299.1A patent/CN112018765A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103296677A (en) * | 2013-05-09 | 2013-09-11 | 国家电网公司 | On-line large power grid recovery assistant decision-making system |
| CN104636810A (en) * | 2013-11-08 | 2015-05-20 | 云南电力调度控制中心 | Power system black-start online recovery decision support platform |
| CN105515044A (en) * | 2015-12-22 | 2016-04-20 | 国家电网公司 | Black-start assistant decision-making system based on DTS |
Non-Patent Citations (2)
| Title |
|---|
| AMIR GOLSHANI 等: "Incorporating Wind Energy in Power System Restoration Planning", 《IEEE TRANSACTIONS ON SMART GRID》 * |
| 刘艳: "电力***黑启动恢复及其决策支持技术的研究", 《中国优秀博硕士学位论文全文数据库(博士)工程科技Ⅱ辑》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Deb et al. | Charging station placement for electric vehicles: a case study of Guwahati city, India | |
| CN102983629B (en) | Auxiliary decision-making method for on-line power system restoration | |
| CN112132427A (en) | Power grid multi-layer planning method considering user side multiple resource access | |
| CN113326467B (en) | Multi-target optimization method, storage medium and optimization system for multi-station fusion comprehensive energy system based on multiple uncertainties | |
| Yan et al. | Development of a tool for urban microgrid optimal energy planning and management | |
| CN108281959A (en) | A kind of bulk transmission grid optimization method of high proportion type power system of renewable energy | |
| Liu et al. | Bi-level coordinated power system restoration model considering the support of multiple flexible resources | |
| CN108400581B (en) | Island division method based on energy constraint | |
| CN113472014A (en) | Optimal scheduling method and system for power distribution network containing distributed power supply | |
| CN115496273A (en) | Renewable energy cluster distribution robustness optimization configuration method and system | |
| CN116187165A (en) | Power grid elasticity improving method based on improved particle swarm optimization | |
| Wu et al. | Economic analysis of power grid interconnections among Europe, North-East Asia, and North America with 100% renewable energy generation | |
| CN117154781B (en) | Energy storage frequency modulation capacity configuration method and device and computer readable storage medium | |
| CN116502771B (en) | Power distribution method and system based on electric power material prediction | |
| CN109829599A (en) | The assemblage classification method and device of power distribution network based on high proportion renewable energy | |
| CN113346484A (en) | Power distribution network elasticity improving method and system considering transient uncertainty | |
| CN111952964A (en) | Decoupling method of multi-period fault recovery model of power distribution network | |
| CN112018765A (en) | Auxiliary decision method and system for scale wind power participating in black start | |
| CN116307562A (en) | Optical storage planning configuration method and device for track traffic self-consistent energy system | |
| CN115549175A (en) | Wind-solar uncertainty-based distributed power supply auxiliary power distribution network black start method | |
| CN114447975A (en) | Multi-microgrid flexibility improving method based on mobile energy storage | |
| Shaver | Implementation of a DC Microgrid | |
| Liu et al. | Post-Disturbance Dynamic Distribution System Restoration with DGs and Mobile Resources | |
| CN111181200B (en) | Practical analysis method, device and system for power generation feasible region | |
| CN118137505A (en) | Important load recovery method and system using mobile power supply |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201201 |