CN111461579A - Full-voltage-grade power grid real-time risk assessment system and method - Google Patents
Full-voltage-grade power grid real-time risk assessment system and method Download PDFInfo
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Abstract
The invention relates to a full-voltage-level power grid real-time risk assessment system and method. The real-time risk assessment system for the power grid at the full voltage level is spliced by using the real models of the main network and the distribution network, can accurately identify the slight risk point changes of the power grid caused by load change, mode adjustment, user number change and the like, and can restore the real-time running state of the power grid; the whole network equipment can be scanned in real time according to the configured fault set, the accurate identification of the slight change of the risk can be realized, and the problem of missed risk identification of the power grid is avoided; the power grid risk identification can be automatically carried out in all weather, and a power grid risk identification tool is effectively provided for power grid operators and managers.
Description
Technical Field
The invention relates to an electric power system, in particular to a full-voltage-level real-time risk assessment system and method for a power grid.
Background
Three major risks of the operation of the power system are power grid risks, personal risks and equipment risks, and with the continuous development of the society, the operation scale of the power grid is continuously enlarged and the operation mode of the power grid is gradually complicated, so that power grid operators can clearly identify the power grid operation risks and rapidly take countermeasures to reduce the power grid risks. The method is extremely important for accurately and quickly identifying the real-time power grid risk under the large power grid with complex full voltage level.
At present, the identification of the grid benchmark risk is generally carried out on the basis of an annual mode, namely: the operation mode and the load data of the power grid are relatively fixed annual modes (load prediction), the operation mode and the load of the power grid cannot fluctuate randomly and change, and the accuracy and the real-time performance of the reference risk identification are poor, and in addition, power grid scheduling personnel do not have energy to identify the reference power grid risk.
When the power grid operation mode and load are changed randomly due to accident tripping or overhaul (operation), power grid operators pay attention to the real-time risk of the power grid, and also give consideration to information reporting and accident handling, so that under the nervous and complex environment, the efficiency of the existing risk assessment is very low, which is very unfavorable for the safe operation of the power grid. Grid operators can often judge grid risk changes only by virtue of working experience, and wind risk change evaluation of the grid caused by changes of various factors (including equipment faults, mode adjustment and load level fluctuation waiting) is integrated, so that the grid risk is easily evaluated by mistake or neglected, and therefore comprehensiveness, accuracy and evaluation efficiency (time consumption) based on problem risk are relatively poor.
At present, there are also methods for performing simulation evaluation on grid reference risk and grid load loss, for example, a grid load loss risk evaluation method based on a PSASP model and a backup power automatic switching strategy, which is disclosed in chinese patent application CN2014, 12 and 22 and published 2015, 4 and 22, can be used for troubleshooting grid security risk based on the PSASP model. Then, since the PSASP model is only a static model based on a specific power grid, and the change of the PSASP model requires manual update and cannot reflect a dynamically changing power grid global model in real time, the accuracy is insufficient due to incompleteness of the model and data in the risk assessment process, and the assessment result is single.
Disclosure of Invention
The invention aims to provide a full-voltage-level real-time risk assessment system and method for a power grid, which are based on a real and complete power grid and can accurately assess dynamic power grid safety risks.
A real-time risk assessment system for a full-voltage-level power grid comprises a main grid data acquisition module, a main grid image data acquisition module and a main grid measurement data acquisition module, wherein the main grid data acquisition module is used for acquiring main grid model data, main grid image data and main grid measurement data in real time; the distribution network data acquisition module is used for acquiring distribution network model data, distribution network graphic data and distribution network measurement data in real time; the splicing module is used for matching and splicing the main network and distribution network model data, the main network and distribution network graph data and the main network and distribution network measurement data to obtain power grid models of all voltage levels; the self-installation device configuration module is used for simulating a power grid self-installation device; the user number acquisition module is used for acquiring user data supplied by feeder lines of all preset levels; the fault set module is prestored with a plurality of fault types; the risk storage module is used for storing power grid fault model data, fault loss data, risk levels and auxiliary decision information corresponding to the fault types; and the risk calculation module is used for performing topology analysis and static power flow calculation according to the fault type output by the fault set module to obtain power grid model data of each voltage class under the fault type when the risk storage module is updated, and simultaneously controlling the installation device configuration module to output corresponding action logic data according to the topology analysis and static power flow calculation result corresponding to the fault type, finally obtaining corresponding power grid fault model data and obtaining exact fault loss data, risk class and auxiliary decision information.
Preferably, the risk calculation module is further configured to, during real-time risk assessment, retrieve and output the stored corresponding fault loss data, risk level and auxiliary decision information according to the current power grid model of each voltage level output by the splicing module.
A real-time risk assessment method for a full-voltage-level power grid comprises a real-time risk base updating method, wherein the real-time risk base updating method comprises the following steps: acquiring main network model data, main network graphic data and main network measurement data; collecting distribution network model data, distribution network graphic data and distribution network measurement data; matching and splicing the main network and distribution network model data, the main network and distribution network graphic data and the main network and distribution network measurement data into power grid models of various voltage levels to obtain an initial section; sequentially modifying the power grid model data of each voltage class according to a plurality of set fault types, and simultaneously controlling a configuration module of a self-contained device to output corresponding action logic data according to the corresponding fault types, finally obtaining corresponding power grid fault model data and forming corresponding fault sections; collecting user data supplied by each feeder line of a preset level; calculating exact fault loss data, risk levels and auxiliary decision information according to the obtained corresponding fault sections and initial sections; and updating or storing the power grid fault model data and the corresponding fault loss data, risk level and auxiliary decision information.
Preferably, the real-time risk assessment method for the full-voltage-class power grid further includes a real-time risk assessment method, and the real-time risk assessment method includes: matching current main network and distribution network model data, current main network and distribution network graphic data and current main network and distribution network measurement data to splice into current power network models of various voltage classes to obtain a current section; and calling and outputting the stored corresponding fault loss data, risk level and auxiliary decision information according to the current section.
In an embodiment, in the step of collecting the user data provided by each feeder line of the preset level, the number of users provided by each 10kV feeder line is collected.
Preferably, the self-installation device configuration module is configured to simulate all self-installation devices included in each voltage class power grid model corresponding to the initial section.
As an embodiment, the method for evaluating the real-time risk of the full-voltage-level power grid further includes a step of determining whether the initial section converges after the initial section is obtained, and a step of determining whether the fault section converges after the fault section is obtained; and if the initial section or the fault section is not converged, returning to regenerate the initial section and the fault section.
The fault loss data comprises a pressure loss station, the number of buses, the number of lost users and the number of lost loads.
As an embodiment, the real-time risk assessment method further includes: and when receiving a risk comparison instruction and set time, taking the set time as an initial time point, performing statistical comparison on the results of the step of 'calling and outputting the stored corresponding fault loss data, risk level and auxiliary decision information according to the current section' at intervals of a preset time period, and outputting an intuitive risk level change trend table.
In one embodiment, the risk level change trend table includes a risk device, a risk change type, a reason for change of the risk change type, and a change time point.
The real-time risk assessment system for the power grid at the full voltage level is spliced by using the real models of the main network and the distribution network, can accurately identify the slight risk point changes of the power grid caused by load change, mode adjustment, user number change and the like, and can restore the real-time running state of the power grid; the whole network equipment can be scanned in real time according to the configured fault set, the accurate identification of the slight change of the risk can be realized, and the problem of missed risk identification of the power grid is avoided; the power grid risk identification can be automatically carried out in all weather, and a power grid risk identification tool is effectively provided for power grid operators and managers.
Drawings
Fig. 1 is a schematic structural diagram of a full-voltage-class power grid real-time risk assessment system according to an embodiment of the present invention.
Fig. 2 is a flowchart of a real-time risk bank updating method of a full-voltage-class power grid real-time risk assessment method according to an embodiment of the present invention.
FIG. 3 is a schematic diagram of an operation interface for a worker to set a fault set according to an embodiment of the invention.
Fig. 4 is a schematic diagram of an interface for displaying and setting information of a backup automatic switching device simulated by the self-installation device configuration module according to an embodiment of the present invention.
Fig. 5 is a schematic view of an interface for displaying and setting information of a tie-cut (stability control) device simulated by the self-installation configuration module according to an embodiment of the present invention.
Fig. 6 is a schematic diagram illustrating the failure loss data, the risk level and the assistant decision information corresponding to one failure type according to an embodiment of the present invention.
Fig. 7 is a schematic diagram of a main information display interface of the risk level variation trend table T according to an embodiment of the present invention.
Fig. 8 is a schematic view of a detailed information display interface of the risk level variation trend table T according to an embodiment of the present invention.
Detailed Description
The full-voltage-class power grid real-time risk assessment system and method according to the present invention will be described in detail with reference to the following embodiments and accompanying drawings.
Referring to fig. 1, in a preferred embodiment, the system for evaluating a real-time risk of a full-voltage-class power grid of the present invention mainly includes a main grid data acquisition module, a distribution network data acquisition module, a splicing module, an autonomous system configuration module, a user number acquisition module, a fault set module, a risk storage module, and a risk calculation module.
The main network data acquisition module is used for acquiring main network Model (MODE L) data, main network Graph (Graph) data and main network measurement (DT, short description of data Date, and dynamic data indicating four-remote or five-remote of the main network) data in real time, and mainly aims to extract data required by various calculations, including remote communication Information including position Information such as switches and disconnecting links, remote measurement Information such as bus voltage, line load flow and load data, calculation parameters such as impedance of each power grid device and the like.
The MODE L data acquired by the main network data acquisition module at each moment may be a Resource Description Framework (RDF) represented by an xml format document, where the RDF includes all static data of the main network at the current moment, and the RDF includes at least power grid company information, corresponding power generation enterprise information, corresponding generator set information, corresponding high-voltage line information, and corresponding substation information and switch information.
The Graph data acquired by the main network data acquisition module at each moment is a power grid data visualization Graph (SVG Graph) based on Scalable Vector Graphics (SVG), a main network geographical wiring diagram or a power grid single line diagram, node voltage contour lines and a power flow section can be displayed in a two-dimensional mode, wherein nodes of space objects represent specific power equipment such as a transformer substation and a power plant and attribute data of the power equipment, and connection lines among the nodes represent a power transmission line and attribute data of the power transmission line.
The DT data acquired by the main network data acquisition module at each moment includes telemetering information, remote signaling information, remote control information, remote adjusting information of the main network, and may further include remote viewing information.
The telemetry information includes various electrical quantities (voltage, current, power, etc. on the line), load flow, etc. Specifically, the power, voltage and current at the plant end, the active and reactive power of each transformer, the active power of the line, the bus voltage and the line current, the temperature, the pressure, the flow (flow rate) and the frequency are at least included, and generally analog signals are included.
The remote signaling information at least comprises position signals of various switches, comprehensive fault signals inside the transformer, action signals of a protection device, operation condition signals of communication equipment, tap position signals of a voltage regulating transformer, operation state signals of an automatic regulating device and other signals capable of providing relay mode output.
The remote control information mainly comprises opening and closing information, namely control information for remotely controlling the switch control equipment, such as closing, opening and closing capacitors of the circuit breaker and other occasions which can adopt relay control.
The remote regulation information comprises remote debugging information of specific control quantity equipment, such as the ascending and descending regulation information of a certain on-load tap changer tap and the regulation information of other equipment with a step ascending and descending function.
The remote vision information comprises video data collected by a camera installed at a specified place.
The distribution network data acquisition module is used for acquiring distribution network model data, distribution network graphic data and distribution network measurement data in real time. In this embodiment, the Distribution network data acquisition module acquires data from a Distribution Management System (DMS).
The power distribution management system is also developed based on a power grid data unified standard CIM/XM L power grid model in IEC 61970/IEC 61968 series standards, and the outputtable data of the power distribution management system also comprises MODE L data, Graph data and DT data.
The MODE L data acquired by the distribution network data acquisition module at each moment is an RDF represented by an xml format document, and the document comprises all static data of the distribution network at the current moment, at least comprising power grid company information, high-voltage circuit information, transformer substation information, switch information and low-voltage line information.
The Graph data acquired by the distribution network data acquisition module at each moment are also SVG, wherein the nodes of the space object represent the actual transformer substation, breaker, transformer, disconnecting link and other specific power equipment and attribute data thereof, and the connection lines between the nodes represent the power transmission line and the attribute data thereof.
The DT data acquired by the distribution network data acquisition module at each moment comprises remote measuring information, remote signaling information, remote control information and remote regulating information of the distribution network.
The splicing module is used for matching and splicing the acquired main network and distribution network model data, the main network and distribution network graphic data and the main network and distribution network measurement data to obtain power network models of various voltage levels for determining the network topology relationship, as described above, due to the difference in understanding of the standards in the development process, the MODE L data, Graph data and DT data output by the main network and the distribution network have different standards, and meanwhile, the data acquisition time may also have different differences, so the splicing module needs to convert and reuse a part of the received data according to a uniform standard to make the main network data standard uniform.
And the self-installation device configuration module is used for simulating necessary or all power grid self-installation devices in the power grid model of each voltage class obtained by splicing, and comprises a spare power automatic switching device, an overload switching device and the like of each voltage class so as to be operable and truly reflect the operation action condition of the power grid. When the self-installation device configuration module establishes each simulation device, the initial state of the spare power automatic switching configuration is automatically formed according to the power grid model of each voltage class, and manual correction and trimming can be carried out when needed, so that the real situation of the power grid is completely consistent with the simulation situation.
And the user number acquisition module is used for acquiring user data supplied by each preset level feeder line. Preferably, the number of users provided by each 10kV feeder is obtained from the metering automation system, that is, each 10kV feeder and the number of users corresponding to the feeder are listed.
The fault set module is pre-stored with a plurality of fault types and can be divided into a basic fault set (for example) and a user-defined fault set. Wherein the basic fault set includes but is not limited to N-1 faults, parallel line N-2 faults, and main transformer N-2 faults. The user-defined fault set may include a same cable trench line fault, a same tower line fault, and the like. System maintenance personnel can set the grid risk scanning range by selecting the fault type.
And the risk storage module is used for storing the power grid fault model data, the fault loss data, the risk level and the auxiliary decision information corresponding to the fault types.
And the risk calculation module is mainly used for updating the power grid fault model data, the fault loss data, the risk grades and the auxiliary decision information corresponding to the fault types of the risk storage module regularly or irregularly, and is mainly used for determining the real-time risk assessment of the power grids of all the voltage grades in real time based on the splicing module and the risk storage module. Therefore, the risk calculation module is based on a power grid real-time risk evaluation method flow of the full voltage grade, and carries out load flow calculation and state evaluation on the power grid, updates the risk storage module and outputs a real-time risk evaluation result based on the main network and the distribution network data acquisition module. Specifically, the risk calculation module is used for modifying the power grid model data of each voltage class according to the fault type output by the fault set module when the risk storage module is updated, and simultaneously controlling the self-contained device configuration module to output corresponding action logic data according to the fault type output by the fault set module, finally obtaining corresponding power grid fault model data, and obtaining exact fault loss data, risk class and auxiliary decision information by comparing the power grid model data before and after the fault. Wherein, the determination of the risk grade can be determined according to the risk evaluation rules of the power grids of different administrative regions. And the risk calculation module is also used for calling and outputting the stored corresponding fault loss data, risk grade and auxiliary decision information according to the current voltage grade power grid model output by the splicing module during real-time risk evaluation.
The real-time risk assessment method for the full-voltage-level power grid mainly comprises a real-time risk database updating method and a real-time risk assessment method. A flowchart of a real-time risk base updating method according to an embodiment is shown in fig. 2, and includes the following steps.
Step S101, collecting main network model (model) data, main network graph (graph) data and main network measurement (DT) data;
step S102, collecting distribution network model data, distribution network graphic data and distribution network measurement data;
step S103, matching the main network and distribution network model data, the main network and distribution network graph data and the main network and distribution network measurement data to splice into main and distribution network integrated voltage level power grid models, judging whether the power grid sections of the voltage level power grid models converge, if so, executing step S104, otherwise, executing step S103 again. The power grid section refers to a global power grid model, a graph, data and parameters corresponding to the moment after the models are successfully spliced. As described above, the specific splicing position can be confirmed by using the name of the substation and the feeder number as the basis for matching, that is, performing fuzzy matching of the names of the feeder outlet switch of the distribution network and the outlet switch in the main network. And judging whether the section of the power grid converges or not for judging whether the splicing is successful or not. The smaller the deviation of the main network data measurement time scale and the distribution network data measurement time scale, the better, and the general time difference should be controlled in the minute level as much as possible.
And step S104, taking out the initial section of the full power grid model and recording the initial section as Rs.
Step S105, scanning the corresponding sections one by one according to the fault set definition type, that is, modifying the power grid model data of each voltage class in sequence according to a plurality of set fault types, to obtain a new power grid section (hereinafter referred to as a fault section for convenience of description) under the fault. As described above, the set of fundamental faults, including but not limited to N-1 faults, parallel line N-2 faults, and main transformer N-2 faults, may be set as decisions that are automatically executed by the program. For example, a transformer substation N-1 (single transformer substation is in voltage loss), a bus N-1 (any section of bus is in voltage loss), a line N-1 (any alternating current line is tripped), a parallel line N-2 (parallel double-circuit lines are tripped simultaneously), a main transformer N-1 (any main transformer is tripped), a main transformer N-2 (any two main transformers in the same voltage class of the same transformer substation are tripped), and a voltage class N-1 (the bus in the same voltage class is in voltage loss). The user-defined fault set can be fault types manually input by workers, and can comprise same-cable-duct line faults, same-tower line faults and the like. For example, steady control N-1 (steady control failure), simultaneous cross-line tripping, double circuit on the same tower and above line tripping. For convenience of description, the fault types in the fault set are denoted by Gi, where i =0, 1, 2 … … N represents the above fault types. As can be appreciated, Gi fault types can be increased or decreased according to actual needs through manual intervention, and FIG. 3 exemplarily shows an operation interface for setting a fault set by a worker.
And step S106, finishing scanning according to one fault type Gi in each fault set, judging whether the formed fault section is converged, if so, executing step S107, otherwise, executing step S103. The non-convergence of the section indicates that the currently acquired data may have problems, and the next data acquisition needs to be waited until the data acquisition is correct so as not to execute the next step.
And S107, outputting corresponding action logic data, namely spare power automatic switching and linkage switching (stable control) action logic output corresponding to the Gi type fault by the self-installation configuration module according to the power grid operation mode and the static power flow under the corresponding fault type Gi. For example, for the backup power automatic switching action logic: by adopting a design method of self-adaptive (automatically adapting to various types of modes) spare power automatic switching, the purpose that for a transformer substation provided with a spare power automatic switching device, if a main power supply is power-off, a main power supply switch is disconnected, and a spare power supply switch is switched on is realized; for joint-cutting (stability control) action logic: for a transformer substation provided with an overload joint cutting device, if a main transformer or a line is overloaded, equipment switches in the meter are disconnected according to a preset table. Fig. 4 exemplarily shows information of one backup power automatic switching device simulated by the self-device configuration module. Fig. 5 exemplarily shows information of one tie-cut (steady control) apparatus simulated by the self-contained device configuration module.
And step S108, further modifying the power grid section (power grid fault model data) according to the action logic data output by the self-mounted device configuration module to form an accurate fault section which is marked as Xi. The fault profile Xi is a new static steady state in the event of a fault where the initial profile Rs is determined by the fault type Gi. For example, when the fault type is an N-1 fault, if a certain substation is totally lost, a new power grid section is generated relative to the initial section Rs, and the spare power automatic switching and the gang switching (stable control) in the substation, which are operated due to the total loss of the substation, cause the new power grid section to change again, so as to form a final and accurate fault section.
Step S109, collecting user data provided by each feeder line of a preset level, in this embodiment, collecting and acquiring the number of users provided by each 10kV feeder line from the metering automation system.
Step S110, comparing the fault section Xi with the initial section Rs, namely the initial section Rs-the fault section Xi, and obtaining static power flow change and network topology change of the power grid, so as to obtain which stations, equipment and buses are subjected to voltage loss, which 10kV feeder lines are subjected to voltage loss, the loss load number and the like when corresponding faults occur.
And step S111, determining exact fault loss data including but not limited to information of the pressure loss station, the number of buses, the number of lost users and the number of lost loads according to the calculation result of the step S110 and the user data acquired in the step S109. The number of the pressure loss users can be obtained by calculating through matching the pressure loss feeder line with the metering automation system. The method can accurately distinguish the voltage-loss stations as user stations, conventional substations, power stations and the like according to the attributes of the user stations in the power grid, and the attributes of the stations are different and directly influence the result of risk judgment.
And step S112, determining a risk level corresponding to the fault by combining a power grid risk evaluation rule according to the fault loss data of the step S111. The grid risk evaluation rules of different administrative districts may be slightly different, but the risk level can be obtained correspondingly as long as fault loss data, such as the loss load quantity and the loss user quantity, are obtained.
And step S113, updating the power grid fault model data (fault section Xi) stored in the risk storage module and the corresponding fault loss data, risk level and auxiliary decision information data by using the data obtained in the step S112.
And step S114, judging whether all fault sets are traversed or not, and if not, executing the step S105 until a power grid real-time risk library F based on accurate model splicing, fault type traversal, self-security function scanning and power grid risk judgment is formed. If all fault sets are traversed, if yes, the calculation period is ended, the fault type Gi obtained through the calculation in the current round and corresponding fault loss data, risk level and auxiliary decision information data are displayed and output, and workers are reminded of what kind of loss and risk can be caused if faults in the fault sets occur under the current power grid state, and how to deal with the faults. Therefore, the working personnel can check and maintain the equipment corresponding to the fault type Gi which is possibly higher than the preset level, and the safe operation is ensured. For example, if a loss of a substation or a trip of a bus can result in a four-stage event, the substation and bus need to be focused and maintained. Alternatively, only the prediction information above a certain risk level may be displayed. In this embodiment, after the one-time calculation period is finished, the step S103 may be continuously executed after a preset time period, a next operation period is entered, a new model splicing period is performed, a fault set is traversed, and new risks and losses are predicted. The power grid real-time risk library F enables a user to know the strong association information between the current power grid state and each fault type in detail, and fig. 6 exemplarily shows fault loss data, risk levels and aid decision information corresponding to one fault type, which at least includes information such as the action condition of the installation device, the number of users under no-voltage, a station under no-voltage, a bus under no-voltage, users under no-voltage, cross-section crossing, and the like.
Therefore, the main network model and the distribution network model are spliced and data are fused, the change of the power grid risk caused by the change of the power grid load and the number of users can be identified, the accurate identification of the slight change of the risk is realized, and in addition, the real-time running state of the power grid is restored by adopting a method of fully considering the action of a safety automatic device in the fault set type traversal process; by sampling real power grid data in real time, the method can accurately capture the slight changes of power grid modes, power grid loads and user number fluctuation, and accurately identify the power grid risks.
Based on the power grid real-time risk library F obtained by the method, the real-time risk assessment method can be executed by the full-voltage-level power grid real-time risk assessment system, and the method specifically comprises the following steps:
collecting current main network and distribution network model data, graphic data and measurement data;
matching the data, and splicing into a current power grid model of each voltage class;
judging whether the power grid section of the power grid model of each voltage level is converged, if so, executing the next step, otherwise, re-executing the steps of collecting data and splicing the current power grid model of each voltage level;
obtaining the current section of the current power grid model of each voltage class; and
and calling and outputting the stored corresponding fault loss data, risk level and auxiliary decision information according to the current section.
Or comparing the current section with the section at the previous moment to obtain the static power flow change of the power grid and the network topology change, so as to obtain data such as voltage loss or recovery of which stations, equipment and buses, voltage loss or recovery of which 10kV feeder lines, load number change and the like, and also obtain fault loss data, risk level and auxiliary decision information.
Preferably, the above-described procedure is performed every preset period of time, for example, five minutes. Therefore, the system can automatically identify the power grid risks in all weather, and effectively provides all required data corresponding to the power grid risks for power grid operators and managers.
In addition, when a fault occurs in the power grid, and a worker, particularly a dispatcher faces a shift, for the current dispatcher, the change situation of the power grid risk can be effectively screened out by comparing the real-time risk of the power grid with the power grid risk during the shift, so that the dispatcher can be more easily helped to identify the power grid risk which needs to be focused, and thus decision making measures can be made more efficiently and accurately. Therefore, the real-time risk assessment method of the present invention may further comprise the steps of:
receiving a risk comparison instruction input by a worker, wherein the instruction comprises a set time t 0; and
and taking the set time as an initial time point, performing statistical comparison on the results of the step of executing and outputting the stored corresponding fault loss data, risk level and auxiliary decision information according to the current section every preset time period, and outputting an intuitive risk level change trend table.
Specifically, if the set time T0 is earlier than the current time tt, the stored fault loss data, risk levels and auxiliary decision information in the time period T0 to tt are retrieved from the storage space, statistical comparison is performed, an intuitive risk level change trend table T is output, then the corresponding fault loss data, risk levels and auxiliary decision information are continuously calculated according to the current section every preset time period after the current time tt, and the fault loss data, risk levels and auxiliary decision information are updated in the risk level change trend table T. The risk level change trend table T should at least include risk equipment, risk change type, reason for change of risk change type, and change time point. Fig. 7 exemplarily shows a main information display interface of the risk level variation tendency table T, which displays main information of the risk level variation tendency table T of risk level variation events respectively occurring at four time points of two days. Fig. 8 exemplarily shows a detailed information display interface of the risk level variation tendency table T.
The calculation method is of practical significance to the actual work of the dispatcher, the dispatcher shift-by-shift system enables the dispatcher to be concerned about the risk of new increase or decrease between the current risk of the power grid and the benchmark risk during shift-by-shift, so that the dispatcher can be effectively guided to identify the dynamic change of the risk of the power grid, and the calculation frequency of once every 5 minutes does not occupy a large amount of computer resources.
While the invention has been described in conjunction with the specific embodiments set forth above, it is evident that many alternatives, modifications, and variations will be apparent to those skilled in the art in light of the foregoing description. Accordingly, it is intended to embrace all such alternatives, modifications, and variations that fall within the spirit and scope of the appended claims.
Claims (10)
1. A real-time risk assessment system of a full voltage class power grid, comprising:
the main network data acquisition module is used for acquiring main network model data, main network graphic data and main network measurement data in real time;
the distribution network data acquisition module is used for acquiring distribution network model data, distribution network graphic data and distribution network measurement data in real time;
the splicing module is used for matching and splicing the main network and distribution network model data, the main network and distribution network graph data and the main network and distribution network measurement data to obtain power grid models of all voltage levels;
the self-installation device configuration module is used for simulating a power grid self-installation device;
the user number acquisition module is used for acquiring user data supplied by feeder lines of all preset levels;
the fault set module is prestored with a plurality of fault types;
the risk storage module is used for storing power grid fault model data, fault loss data, risk levels and auxiliary decision information corresponding to the fault types; and
and the risk calculation module is used for performing topology analysis and static power flow calculation according to the fault type output by the fault set module when the risk storage module is updated to obtain power grid model data of each voltage level under the fault type, and simultaneously controlling the installation device configuration module to output corresponding action logic data according to the topology analysis and static power flow calculation result corresponding to the fault type, finally obtaining corresponding power grid fault model data, and obtaining exact fault loss data, risk level and auxiliary decision information.
2. The full-voltage-class power grid real-time risk assessment system according to claim 1, wherein the risk calculation module is further configured to retrieve and output the stored corresponding fault loss data, risk class and auxiliary decision information according to the current voltage-class power grid model output by the splicing module during real-time risk assessment.
3. The real-time risk assessment method for the full-voltage-level power grid is characterized by comprising a real-time risk base updating method, wherein the real-time risk base updating method comprises the following steps:
acquiring main network model data, main network graphic data and main network measurement data;
collecting distribution network model data, distribution network graphic data and distribution network measurement data;
matching and splicing the main network and distribution network model data, the main network and distribution network graphic data and the main network and distribution network measurement data into power grid models of various voltage levels to obtain an initial section;
sequentially modifying the power grid model data of each voltage class according to a plurality of set fault types, and simultaneously controlling a configuration module of a self-contained device to output corresponding action logic data according to the corresponding fault types, finally obtaining corresponding power grid fault model data and forming corresponding fault sections;
collecting user data supplied by each feeder line of a preset level;
calculating exact fault loss data, risk levels and auxiliary decision information according to the obtained corresponding fault sections and initial sections; and
and updating or storing the power grid fault model data and the corresponding fault loss data, risk level and auxiliary decision information.
4. The full voltage level power grid real-time risk assessment method according to claim 3, further comprising a real-time risk assessment method, the real-time risk assessment method comprising:
matching and splicing current main network and distribution network model data, current main network and distribution network graphic data and current main network and distribution network measurement data into current power network models of various voltage levels to obtain a current section; and
and calling and outputting the stored corresponding fault loss data, risk level and auxiliary decision information according to the current section.
5. The real-time risk assessment method for the full-voltage-class power grid according to claim 4, wherein in the step of collecting the user data supplied by each feeder line of the preset class, the number of users supplied by each 10kV feeder line is collected.
6. The real-time risk assessment method for a full-voltage-class power grid according to claim 3, wherein the self-installation configuration module is configured to simulate all self-installations included in each voltage-class power grid model corresponding to the initial section.
7. The real-time risk assessment method for a full-voltage-class power grid according to claim 3, further comprising a step of determining whether the initial section converges after the initial section is obtained, and a step of determining whether the fault section converges after the fault section is obtained; and if the initial section or the fault section is not converged, returning to regenerate the initial section and the fault section.
8. The full voltage level power grid real-time risk assessment method according to claim 4, wherein the fault loss data comprises a loss of voltage station, a number of busbars, a number of loss users and a number of loss loads.
9. The full voltage level power grid real-time risk assessment method according to claim 4, further comprising:
and when receiving a risk comparison instruction and set time, taking the set time as an initial time point, performing statistical comparison on the results of the step of 'calling and outputting the stored corresponding fault loss data, risk level and auxiliary decision information according to the current section' at intervals of a preset time period, and outputting an intuitive risk level change trend table.
10. The real-time risk assessment method for a full-voltage-class power grid according to claim 9, wherein the risk class change trend table includes risk equipment, risk change type, reason for change of risk change type, and change time point.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112183963A (en) * | 2020-09-11 | 2021-01-05 | 贵州电网有限责任公司 | Power grid real-time risk identification method based on provincial and local grid frame splicing |
| CN112395715A (en) * | 2020-10-29 | 2021-02-23 | 中国电力科学研究院有限公司 | Assessment method and system for wiring bus electric network maintenance plan |
| CN115347570A (en) * | 2022-10-17 | 2022-11-15 | 国网浙江省电力有限公司宁波供电公司 | Main-distribution cooperation-based regional power failure range analysis method |
| CN117350550A (en) * | 2023-12-04 | 2024-01-05 | 合肥优尔电子科技有限公司 | Power grid operation risk assessment system based on severe weather |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108471111A (en) * | 2018-03-19 | 2018-08-31 | 深圳供电局有限公司 | A kind of network operation risk assessment method for bus-bar fault |
| CN109767063A (en) * | 2018-12-12 | 2019-05-17 | 深圳供电局有限公司 | A kind of stability control device operation information system and its online power grid risk assessment method |
-
2020
- 2020-04-30 CN CN202010366489.XA patent/CN111461579B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108471111A (en) * | 2018-03-19 | 2018-08-31 | 深圳供电局有限公司 | A kind of network operation risk assessment method for bus-bar fault |
| CN109767063A (en) * | 2018-12-12 | 2019-05-17 | 深圳供电局有限公司 | A kind of stability control device operation information system and its online power grid risk assessment method |
Non-Patent Citations (1)
| Title |
|---|
| 罗少杰等: "基于概率性分析的配电网风险评估研究", 《中国电业(技术版)》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112183963A (en) * | 2020-09-11 | 2021-01-05 | 贵州电网有限责任公司 | Power grid real-time risk identification method based on provincial and local grid frame splicing |
| CN112395715A (en) * | 2020-10-29 | 2021-02-23 | 中国电力科学研究院有限公司 | Assessment method and system for wiring bus electric network maintenance plan |
| CN115347570A (en) * | 2022-10-17 | 2022-11-15 | 国网浙江省电力有限公司宁波供电公司 | Main-distribution cooperation-based regional power failure range analysis method |
| CN115347570B (en) * | 2022-10-17 | 2023-01-24 | 国网浙江省电力有限公司宁波供电公司 | Main-distribution cooperation-based regional power failure range analysis method |
| CN117350550A (en) * | 2023-12-04 | 2024-01-05 | 合肥优尔电子科技有限公司 | Power grid operation risk assessment system based on severe weather |
| CN117350550B (en) * | 2023-12-04 | 2024-02-23 | 合肥优尔电子科技有限公司 | Power grid operation risk assessment system based on severe weather |
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