Power grid state limit operation regulation and control method and system based on topological structure

Abstract

The invention discloses a power grid state limit operation regulation and control method and system based on a topological structure. The method comprises the following steps: constructing a power grid topological structure according to nodes and tie lines of a power grid; monitoring equipment real-time state data of the power grid in real time; estimating the real-time state data of the equipment according to a state estimation algorithm to obtain an actual operation state of the power grid; constructing a section parameter model of the standardized operation mode, wherein the section parameter model comprises a power failure equipment parameter table, a control grading parameter table and a control limit parameter table; the power failure equipment parameter table and the control grading parameter table are condition parameters, and the control limit parameter table is limit parameters; and inputting the power grid topological structure, the equipment real-time state data and the actual operation state of the power grid into the section parameter model to obtain control limit parameters of the power grid section. Dynamic calculation of section control parameters is achieved through the standardized section parameter model, it is guaranteed that limit parameters are adjusted and controlled in real time in a complex power grid environment, and reliable power supply of a power grid is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of smart grid technology, and in particular to a topology-based grid state limit operation control method and system, and computing equipment. Background Art

[0002] The power grid operation limit refers to the maximum power flow or minimum voltage and other parameter values ​​that each section or node of the power grid can withstand under the premise of meeting the safety and stability requirements of the power grid. Determining reasonable power grid operation limits is of great significance to ensuring the safe and stable operation of the power grid, improving transmission capacity, and optimizing resource allocation. In operation management, operators compile a series of section control limits to monitor and control complex power grids, including normal operation mode section limits, daily maintenance temporary section limits, etc. Relying on the power grid operation limit list given by the mode personnel analysis, ensuring that the real-time operation section power flow does not exceed the limit is the basic principle of the dispatching and operation personnel's work, and it is also an important constraint of the spot market optimization clearing model. Based on real-time data and section analysis, dynamically adjust power generation, load and dispatching strategies to ensure stable operation of the power grid.

[0003] Zhejiang Power Grid was the first to develop a real-time monitoring and analysis system for the stability limit of power grid sections based on the EMS / SCADA system. The system extracts real-time data of the power grid after state estimation, and calculates and analyzes the limits of the corresponding sections in the section stability limit library. It can display the overload degree of the section in different color segments, issue an alarm for the section with N-1 fault, and notify the operating personnel to deal with it in time. The system establishes a limit library under different operation modes of the section, and determines the operation mode of the system by detecting whether there is a flow in the section, etc., which solves the problem of the large workload of manual inspection of the operation mode. The system was put into operation in 2008, and it has done a good job of monitoring and analyzing the overload of the section flow, and has a striking warning for the section crossing the line and the failure of the power grid. The dispatcher can better understand the power grid based on the information provided by the system, and make timely adjustments when the power grid fails. However, the system only has the functions of section monitoring and alarm, and has not developed more practical applications.

[0004] In 2016, Sichuan Power Grid developed a transmission section limit management and online verification system based on the D5000 platform. The system completes the compilation, approval, synchronization, and calculation of the specified section limit power range through a standardized process. It can provide processed results for third-party software, solve the problem of online dynamic verification of offline section limits, and make the dispatching system's online monitoring and management of section limits more intelligent. However, the system mainly highlights the office automation function of operation mode management. In 2018, Henan Power Grid and Xinjiang Power Grid developed similar systems respectively, realizing real-time monitoring and alarm functions of section limits.

[0005] The above-mentioned grid and provincial dispatching and operation agencies have basically realized the section monitoring and alarm functions, but there are few studies on automatic matching of section limits, automatic generation of temporary sections, and auxiliary decision-making of future state sections. At present, the management of section limits in power grid dispatching and operation mainly has the following two problems: First, it is difficult to standardize the description of the operation mode, resulting in a huge workload for dispatchers to manually sort out and enter stability limits when the power grid is overhauled, the operation mode changes, or the power grid structure changes. Even the existing dispatching automation system software has not taken into account the changes in the operation mode when it was designed, and it needs to be redeveloped at the code level to adapt to many changes in stability limits. Second, the existing power grid monitoring system relies too much on manual experience. Although the system has the function of alarming when the stability limit exceeds the limit, the specific limit still needs to be maintained manually by the dispatcher, that is, the dispatcher needs to analyze and judge the current power grid operation mode, select the corresponding stability limit and monitoring element or flow section from the operation limit list or maintenance application list according to the operation mode and maintenance work, and input it into the power grid dispatching automation system to complete the real-time scanning of whether it exceeds the stability limit, so as to realize the alarm and prevention and correction control of the stability limit exceeding the limit.

[0006] Therefore, it is difficult for the above-mentioned grid and provincial dispatching and operation agencies to ensure real-time adjustment of control limit parameters in a complex power grid environment to ensure reliable power supply to the power grid. Summary of the invention

[0007] In view of the above problems, the present invention provides a topology-based grid state limit operation control method and system to ensure real-time adjustment of control limit parameters in a complex grid environment and ensure reliable power supply of the grid.

[0008] According to one aspect of the present invention, a topology-based power grid state limit operation control method is provided, comprising: Constructing a power grid topology structure according to the nodes and tie lines of the power grid; wherein the nodes include but are not limited to substations, power plants and load points; Real-time monitoring of the real-time status data of the equipment in the power grid and storing it in a time series database; estimating the real-time status data of the equipment according to a state estimation algorithm to obtain the actual operating status of the power grid; Constructing a section parameter model of a standardized operation mode, the section parameter model includes a power outage equipment parameter table, a control grading parameter table and a control limit parameter table; wherein the power outage equipment parameter table and the control grading parameter table are conditional parameters, and the control limit parameter table is a restriction parameter; The grid topology, the real-time status data of the equipment and the actual operating status of the grid are input into the section parameter model to obtain the control limit parameters of the grid section; wherein the control limit parameters include power flow limit, voltage limit, stability limit, spare capacity and safety margin.

[0009] In an optional manner, the power outage equipment parameter table is used to record the power outage equipment information that affects the power grid section control, including but not limited to the equipment number, equipment type, power outage status and power outage time; The control grading parameter table includes different control grading conditions and corresponding control parameters, and is used to adjust the control strategy according to the control grading conditions when the power grid operation state changes; The control limit parameter table includes control limit parameters of the power grid section under different conditions; wherein the control limit parameters include but are not limited to power flow limit, voltage limit, stability limit, spare capacity and safety margin.

[0010] In an optional manner, the step of constructing a cross-sectional parameter model of a standardized operation mode further comprises: Determine the logical relationship between the power outage equipment parameter table and the control grading parameter table; Determine a mapping relationship between the control grading parameter table and the control limit parameter table; According to the input data, the logical relationship and the mapping relationship, the control limit parameters that the current power grid section should reach are calculated in real time; wherein the input data includes the power grid topology, the real-time status data of the equipment and the actual operating status of the power grid.

[0011] In an optional manner, the real-time calculation of the control limit parameter that the current power grid section should reach based on the input data, the logical relationship and the mapping relationship further includes: According to the input data, a power-off device parameter table is searched to determine the device currently in a power-off state; According to the logical relationship between the parameter table of the power-off equipment currently in the power-off state and the control-grading parameter table, matching the corresponding control-grading parameters; According to the mapping relationship between the control classification parameter table and the control limit parameter table, the corresponding control limit parameters are matched; Combined with the actual operating status of the power grid, the control limit parameters that the current power grid section should reach are calculated in real time.

[0012] In an optional manner, the method further includes: Setting the control limit parameters in the power grid dispatching automation system as constraint conditions for the current power grid section operation; Monitor the operating status of the current power grid section in real time. When a violation of the control limit is detected, an alarm is issued to notify the dispatcher or control measures are automatically taken.

[0013] In an optional manner, estimating the real-time state data of the device according to the state estimation algorithm to obtain the actual operation state of the power grid further includes: Establishing a node admittance matrix according to the power grid topology and the real-time status data of the equipment; Establishing a state equation and a measurement equation according to the node admittance matrix; wherein the state equation represents the time evolution of the state vector, and the measurement equation represents the relationship between the state vector and the observable quantity; According to the state equation and the state estimation value at the previous moment, predict the state vector and its covariance matrix at the current moment; Calculating a measurement residual using the measurement equation and the state vector at the current moment; Feeding back the measurement residual to the state vector and covariance matrix through a gain matrix of an extended Kalman filter; The prediction and update are repeated until the convergence condition is met or the predetermined number of iterations is reached, and the optimal estimated values ​​of the voltage, phase angle and power state quantity of each node in the power grid are obtained.

[0014] In an optional manner, establishing a node admittance matrix according to the power grid topology and the real-time status data of the device further includes: For each branch in the power grid topology, collecting electrical parameters thereof, wherein the electrical parameters are used to calculate a contribution of the branch to a branch admittance matrix; Calculating a branch admittance matrix based on the electrical parameters and the connection nodes to represent the influence of the branch on the electrical relationship between the connection nodes; The branch admittance matrices of all branches in the power grid topology are superimposed according to the power grid topology to form a node admittance matrix of the entire power grid.

[0015] In an optional manner, the method further includes: Compiling the power outage parameters, control grading parameters and control limit parameters in the power grid topology into C language program codes respectively; Generate a shared library file under Linux from the C language program code; The shared library file is dynamically loaded into the memory through the monitoring program, and the functions therein are called according to the section sequence.

[0016] According to another aspect of the present invention, a topology-based power grid state limit operation control system is provided, comprising: A power grid topology construction module, used to construct a power grid topology structure according to the nodes and tie lines of the power grid; wherein the nodes include but are not limited to substations, power plants and load points; The real-time data monitoring and state estimation module is used to monitor the real-time state data of the equipment in the power grid in real time and store it in the time series database; the real-time state data of the equipment is estimated according to the state estimation algorithm to obtain the actual operation state of the power grid; A section parameter model construction module is used to construct a section parameter model of a standardized operation mode, wherein the section parameter model includes a power outage equipment parameter table, a control grading parameter table, and a control limit parameter table; wherein the power outage equipment parameter table and the control grading parameter table are conditional parameters, and the control limit parameter table is a restriction parameter; The section control limit calculation module is used to input the power grid topology, the real-time status data of the equipment and the actual operating status of the power grid into the section parameter model to obtain the control limit parameters of the power grid section; wherein the control limit parameters include power flow limit, voltage limit, stability limit, spare capacity and safety margin.

[0017] According to another aspect of the present invention, there is provided a computing device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus. The processor is used to execute a program, specifically, to execute the relevant steps in the above-mentioned embodiment of the power grid state limit operation control method based on the topology structure.

[0018] According to the scheme provided by the present invention, a power grid topology is constructed according to the nodes and tie lines of the power grid; wherein the nodes include but are not limited to substations, power plants and load points; the real-time status data of the equipment of the power grid is monitored in real time and stored in a time series database; the real-time status data of the equipment is estimated according to the state estimation algorithm to obtain the actual operation state of the power grid; a section parameter model of a standardized operation mode is constructed, and the section parameter model includes a power outage equipment parameter table, a control grading parameter table and a control limit parameter table; wherein the power outage equipment parameter table and the control grading parameter table are conditional parameters, and the control limit parameter table is a restriction parameter; the power grid topology, the real-time status data of the equipment and the actual operation state of the power grid are input into the section parameter model to obtain the control limit parameters of the power grid section; wherein the control limit parameters include power flow limit, voltage limit, stability limit, spare capacity and safety margin. The present invention realizes the automatic matching and calculation of the control limit of the power grid section by constructing a section parameter model of a standardized operation mode, thereby reducing manual intervention. By quickly acquiring real-time status data of power grid equipment and using state estimation algorithms to monitor the operation status of the power grid in real time, potential safety issues can be discovered and handled in a timely manner to ensure safe and stable operation of the power grid. Dynamic calculation of section control parameters can be achieved through standardized section parameter models to ensure real-time adjustment of control limit parameters in complex power grid environments and ensure reliable power supply to the power grid.

[0019] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings: Figure 1 A schematic diagram of a process flow of a topology-based power grid state limit operation control method according to an embodiment of the present invention is shown; Figure 2 A schematic diagram of an abstract cross-section parameter data structure according to an embodiment of the present invention is shown; Figure 3 A schematic diagram of cross-section parameter compilation and monitoring according to an embodiment of the present invention is shown; Figure 4 A schematic diagram of a framework of a topology-based power grid state limit operation control system according to an embodiment of the present invention is shown; Figure 5 A schematic diagram of the structure of a computing device according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0021] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0022] Figure 1 The flowchart of the topology-based grid state limit operation control method according to an embodiment of the present invention is shown. Figure 1 As shown, the following steps are included: Step S101, constructing a power grid topology structure according to the nodes and tie lines of the power grid; wherein the nodes include but are not limited to substations, power plants and load points.

[0023] The grid topology is constructed based on the nodes of the grid (including substations, power plants, load points) and interconnecting lines (transmission lines). The complex grid structure is simplified into a graph consisting of nodes and edges, so that the overall structure and key nodes of the grid are clear at a glance, and the actual operating status and changes of the grid can be quickly reflected.

[0024] Specifically, detailed information of all nodes (substations, power plants, load points) and tie lines (transmission lines) in the power grid is collected, including geographical location, equipment parameters, operating status, etc. The collected data is sorted and cleaned, and the nodes and tie lines in the power grid are abstracted into graph vertices and edges using graph theory methods to construct the topological structure diagram of the power grid. In the topological diagram, the type and attributes of each node (such as substations, power plants, load points, etc.) and the connection relationship and parameters of each tie line (such as voltage level, transmission capacity, etc.) are identified. Real-time data acquisition systems such as SCADA systems and AMS are connected to the power grid topological structure diagram, and the power grid topological structure diagram reflects the actual operating status and changes of the power grid in real time by connecting to the real-time data of the power grid.

[0025] Step S102, real-time monitoring of the real-time status data of the equipment of the power grid and storing it in a time series database; estimating the real-time status data of the equipment according to a state estimation algorithm to obtain the actual operating status of the power grid.

[0026] In this embodiment, a time series database such as InfluxDB and TimescaleDB can be used to process a large amount of time series data. The time series database supports long-term data storage, facilitates historical data analysis, reveals the operation rules of the power grid, and supports high concurrent writing and fast query. Using estimation algorithms such as weighted least squares and Kalman filtering to process real-time data can more accurately reflect the actual operation status of the power grid (including parameters such as voltage, current, and power factor).

[0027] In an optional manner, estimating the real-time state data of the device according to the state estimation algorithm to obtain the actual operation state of the power grid further includes: Establishing a node admittance matrix according to the power grid topology and the real-time status data of the equipment; Establishing a state equation and a measurement equation according to the node admittance matrix; wherein the state equation represents the time evolution of the state vector, and the measurement equation represents the relationship between the state vector and the observable quantity; According to the state equation and the state estimation value at the previous moment, predict the state vector and its covariance matrix at the current moment; Calculating a measurement residual using the measurement equation and the state vector at the current moment; Feeding back the measurement residual to the state vector and covariance matrix through a gain matrix of an extended Kalman filter; The prediction and update are repeated until the convergence condition is met or the predetermined number of iterations is reached, and the optimal estimated values ​​of the voltage, phase angle and power state quantity of each node in the power grid are obtained.

[0028] In this embodiment, the node admittance matrix Y is constructed according to the topological structure and branch parameters of the power grid, indicating the strength of the electrical connection between nodes. For each branch in the power grid topology, the branch admittance is calculated according to its electrical parameters, the admittance values ​​of all branches connected to it are summarized to form the admittance value of the node, and all branch admittance matrices are superimposed according to the power grid topology to form the node admittance matrix of the entire power grid.

[0029] The state equation and measurement equation can be constructed based on the node admittance matrix, where the state equation describes the state vector The state equation is derived based on circuit theory and is in the form of ,in, is the input vector, is the process noise. The measurement equation establishes the state vector and observables The mathematical relationship between (such as current and power) is of the form ,in, is the measurement function, To measure noise.

[0030] Use the state estimate from the previous moment and the covariance matrix , predict the current state vector according to the state equation and its covariance matrix .

[0031] Calculate measurement residuals , calculate the Kalman gain , which is used to feed the measurement residual into the state estimation to minimize the estimation error. The gain formula involves the inverse of the covariance matrix and the Jacobian matrix of the measurement function.

[0032] Update state estimate and the covariance matrix ,in, for Function in The Jacobian matrix at .

[0033] The prediction and update are repeated until the convergence condition is met or the predetermined number of iterations is reached, and the optimal estimated values ​​of the voltage, phase angle and power state quantity of each node in the power grid are obtained.

[0034] In an optional manner, establishing a node admittance matrix according to the power grid topology and the real-time status data of the device further includes: For each branch in the power grid topology, collecting electrical parameters thereof, wherein the electrical parameters are used to calculate a contribution of the branch to a branch admittance matrix; Calculating a branch admittance matrix based on the electrical parameters and the connection nodes to represent the influence of the branch on the electrical relationship between the connection nodes; The branch admittance matrices of all branches in the power grid topology are superimposed according to the power grid topology to form a node admittance matrix of the entire power grid.

[0035] In this embodiment, the power grid is decomposed into branch units and their branch admittance matrices are calculated respectively, and then the node admittance matrix of the entire power grid is formed by superposition, which reduces the number of direct construction and modification of the global matrix and improves the calculation efficiency. When the power grid structure changes (such as adding or removing equipment), it is only necessary to recalculate the admittance matrix of the affected branch and update the global matrix.

[0036] Step S103, constructing a section parameter model of a standardized operation mode, the section parameter model includes a power outage equipment parameter table, a control grading parameter table and a control limit parameter table; wherein the power outage equipment parameter table and the control grading parameter table are conditional parameters, and the control limit parameter table is a restriction parameter.

[0037] In this embodiment, the power outage equipment parameter table is used to record the power outage equipment information that affects the power grid section control, including but not limited to the equipment number, equipment type, power outage status and power outage time; the control grading parameter table includes different control grading conditions and corresponding control parameters, which are used to adjust the control strategy according to the control grading conditions when the power grid operation state changes; the control limit parameter table includes the control limit parameters of the power grid section under different conditions; wherein the control limit parameters include but are not limited to power flow limit, voltage limit, stability limit, spare capacity and safety margin. According to the current operation state of the power grid (such as load level, equipment health status, etc.), combined with the control grading parameter table, determine the currently applicable control grading conditions. According to the selected control grading conditions, find the corresponding control parameters from the control grading parameter table, and formulate specific control strategies, such as changing the power grid topology structure, etc. to maintain the stable operation of the power grid. During the execution process, if new changes are found (such as new equipment power outages, load mutations, etc.), the control strategy is re-evaluated and adjusted.

[0038] For example, a power grid in a certain area has a power outage due to multiple transmission lines faults caused by heavy rain. The system will first automatically update the power outage equipment parameter table to record the affected equipment number, type, power outage status and time. Then, based on the current power grid load level and remaining power transmission capacity, combined with the control grading parameter table, a control strategy such as "emergency load reduction" is adopted. During the execution process, the power transmission to the fault area is automatically reduced, and the backup power supply is started at the same time to ensure the power supply of critical loads. This is to avoid further deterioration of the power grid and ensure the safe and stable operation of the power grid. The parameter table will be updated based on the collected data to provide a reference for the formulation of future control strategies.

[0039] In an optional manner, the step of constructing a cross-sectional parameter model of a standardized operation mode further comprises: Determine the logical relationship between the power outage equipment parameter table and the control grading parameter table; Determine a mapping relationship between the control grading parameter table and the control limit parameter table; According to the input data, the logical relationship and the mapping relationship, the control limit parameters that the current power grid section should reach are calculated in real time; wherein the input data includes the power grid topology, the real-time status data of the equipment and the actual operating status of the power grid.

[0040] In this embodiment, by constructing a cross-section parameter model of standardized operation mode, the logical relationship and mapping relationship between power outage equipment parameters, control grading parameters and control limit parameters are clarified, and the formulated control strategy is more accurate, reducing the error of human intervention. The control strategy can be quickly adjusted in the event of equipment failure or abnormality to prevent the expansion of accidents and improve the overall reliability of the power grid.

[0041] In an optional manner, the real-time calculation of the control limit parameter that the current power grid section should reach based on the input data, the logical relationship and the mapping relationship further includes: According to the input data, a power-off device parameter table is searched to determine the device currently in a power-off state; According to the logical relationship between the parameter table of the power-off equipment currently in the power-off state and the control-grading parameter table, matching the corresponding control-grading parameters; According to the mapping relationship between the control classification parameter table and the control limit parameter table, the corresponding control limit parameters are matched; Combined with the actual operating status of the power grid, the control limit parameters that the current power grid section should reach are calculated in real time.

[0042] In this embodiment, Figure 2As shown in the figure, the logical relationship between the power outage equipment parameter table and the control grading parameter table is based on the equipment attribute definition such as equipment type, capacity, voltage level, etc. Different attribute combinations correspond to different control grading. The matching control grading conditions can be found in the control grading parameter table in the form of a rule set. For example, if the equipment type is a transformer and the capacity is greater than 50MVA, it belongs to grading A. The corresponding control grading parameters (including power limit, current limit, voltage range, etc.) are determined to guide the operation adjustment of the power grid when the equipment is out of power.

[0043] After the control grade parameters are determined, the corresponding control limit parameters are matched according to the mapping relationship between the control grade parameter table and the control limit parameter table. For example, the control grade identifier (such as grades A, B, C, etc.) is extracted from the determined control grade parameters, and the identifier is used to uniquely identify the corresponding control limit parameters in the mapping relationship. Use the control grade identifier as the query key to find the corresponding control limit parameters in the mapping relationship between the control grade parameter table and the control limit parameter table. According to the mapping relationship, the control limit parameters corresponding to the current control grade (including voltage upper and lower limits, current limit, power factor range, stability margin, etc.) are obtained to ensure the stability of the power grid under specific operating conditions.

[0044] For example, in the power outage equipment parameter table, there is a transformer that is out of power, with a capacity of 80MVA and a voltage level of 220kV. According to the logical relationship of the control grading parameter table, such as "transformers with a capacity greater than 50MVA and a voltage level of 220kV belong to grading B". In the mapping relationship between the control grading parameter table and the control limit parameter table, find the control limit parameters corresponding to grading B. The mapping relationship shows that the control limit parameters of grading B are "the maximum replacement power does not exceed 70% of the rated capacity, that is, 56MVA; the voltage fluctuation range is ±5%". Therefore, these control limit parameters will be considered during grid dispatching and operation to ensure that the grid can still operate safely and stably when the transformer is out of power.

[0045] Step S104, inputting the grid topology, the real-time status data of the equipment and the actual operating status of the grid into the section parameter model to obtain the control limit parameters of the grid section; wherein the control limit parameters include power flow limit, voltage limit, stability limit, spare capacity and safety margin.

[0046] In this embodiment, the section parameter model refers to the flow calculation based on the topological structure of the power grid, the real-time status data of the equipment and the actual operating status of the power grid. The goal of the flow calculation is to determine the voltage, current, power and other parameters of each node and line in the power grid. Based on the flow calculation results, the flow limit of each section (such as a critical line) is determined, usually taking a percentage threshold that does not exceed the rated capacity of the equipment. The upper and lower limits of the voltage of each node are determined based on the voltage stability and the voltage tolerance of the equipment. In addition, transient stability or dynamic stability analysis is performed to determine the maximum power transmission capacity of the power grid that can maintain stable operation when disturbed (such as a fault). Evaluate the backup power generation capacity of the power grid in the event of equipment failure or sudden increase in load to ensure that the system can maintain a balance between supply and demand. Calculate the safety margin of the power grid when facing various uncertainties based on methods such as the N-1 safety analysis method.

[0047] In this embodiment, the power flow calculation is performed according to the Newton-Raphson method, and its correction equation is: ; ; in, and is the unbalanced amount of active and reactive power at node i; and is the voltage phase angle and amplitude correction value of node i; , , , are the elements of the Jacobian matrix.

[0048] Then, transient stability or dynamic stability analysis is performed through simulation software (such as PSASP, PSS / E, etc.) to evaluate the stability limit of the power grid.

[0049] In an optional manner, the method further includes: Setting the control limit parameters in the power grid dispatching automation system as constraint conditions for the current power grid section operation; Monitor the operating status of the current power grid section in real time. When a violation of the control limit is detected, an alarm is issued to notify the dispatcher or control measures are automatically taken.

[0050] In an optional manner, the method further includes: Compiling the power outage parameters, control grading parameters and control limit parameters in the power grid topology into C language program codes respectively; Generate a shared library file under Linux from the C language program code; The shared library file is dynamically loaded into the memory through the monitoring program, and the functions therein are called according to the section sequence.

[0051] Specifically, Figure 3 As shown in the figure, the parameters in the power grid topology, such as the blackout threshold, the different gear settings of the controller, and the safety limit of the control operation, are converted into C language program code, and functions are written in the C program to check whether the current power grid state reaches the blackout threshold, or to adjust the gear of the controller to respond to power grid changes. Use a compiler (such as gcc) to compile these codes into shared library files (.so files) in the Linux environment. Shared library files contain code and data shared between multiple programs. The monitoring program is responsible for loading these library files when needed and calling the functions in them according to the section order of the power grid. The section order refers to the processing order of different areas or subsystems in the power grid, which depends on the topology and control strategy of the power grid. The monitoring program calls the functions in the library through function pointers or symbol resolution. These functions will perform operations related to power grid control, such as checking the power grid state, adjusting control parameters, or triggering protection mechanisms.

[0052] The C language program code is as follows: int DMJXTD_0001_TDSBCODE() { int ret=0; ret = GetTD('MX0001')+GetTD('MX0002'); int err = SetTDSBValue('DMJXTD_0001',ret); if (err!=0) return err; return 0; } According to the scheme provided by the present invention, a power grid topology is constructed according to the nodes and tie lines of the power grid; wherein the nodes include but are not limited to substations, power plants and load points; the real-time status data of the equipment of the power grid is monitored in real time and stored in a time series database; the real-time status data of the equipment is estimated according to the state estimation algorithm to obtain the actual operation state of the power grid; a section parameter model of a standardized operation mode is constructed, and the section parameter model includes a power outage equipment parameter table, a control grading parameter table and a control limit parameter table; wherein the power outage equipment parameter table and the control grading parameter table are conditional parameters, and the control limit parameter table is a restriction parameter; the power grid topology, the real-time status data of the equipment and the actual operation state of the power grid are input into the section parameter model to obtain the control limit parameters of the power grid section; wherein the control limit parameters include power flow limit, voltage limit, stability limit, spare capacity and safety margin. The present invention realizes the automatic matching and calculation of the control limit of the power grid section by constructing a section parameter model of a standardized operation mode, thereby reducing manual intervention. By quickly acquiring real-time status data of power grid equipment and using state estimation algorithms to monitor the operation status of the power grid in real time, potential safety issues can be discovered and handled in a timely manner to ensure safe and stable operation of the power grid. Dynamic calculation of section control parameters can be achieved through standardized section parameter models to ensure real-time adjustment of control limit parameters in complex power grid environments and ensure reliable power supply to the power grid.

[0053] Figure 4 The schematic diagram of the framework of the power grid state limit operation control system based on the topology structure of the embodiment of the present invention is shown. The power grid state limit operation control system based on the topology structure includes: A power grid topology construction module 410 is used to construct a power grid topology structure according to the nodes and tie lines of the power grid; wherein the nodes include but are not limited to substations, power plants and load points; The real-time data monitoring and state estimation module 420 is used to monitor the real-time state data of the equipment in the power grid in real time and store it in the time series database; estimate the real-time state data of the equipment according to the state estimation algorithm to obtain the actual operation state of the power grid; The section parameter model construction module 430 is used to construct a section parameter model of a standardized operation mode, wherein the section parameter model includes a power outage equipment parameter table, a control grading parameter table, and a control limit parameter table; wherein the power outage equipment parameter table and the control grading parameter table are conditional parameters, and the control limit parameter table is a restriction parameter; The section control limit calculation module 440 is used to input the power grid topology, the real-time status data of the equipment and the actual operating status of the power grid into the section parameter model to obtain the control limit parameters of the power grid section; wherein the control limit parameters include power flow limit, voltage limit, stability limit, spare capacity and safety margin.

[0054] Figure 5 The schematic diagram of the structure of the computing device embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the computing device.

[0055] like Figure 5 As shown, the computing device may include: a processor (processor) 502 , a communications interface (Communications Interface) 504 , a memory (memory) 506 , and a communication bus 508 .

[0056] The processor 502, the communication interface 504, and the memory 506 communicate with each other via the communication bus 508. The communication interface 504 is used to communicate with other devices such as a client or other server network elements. The processor 502 is used to execute the program 510, which can specifically execute the relevant steps in the above-mentioned topology-based power grid state limit operation control method embodiment.

[0057] Specifically, the program 510 may include program codes, which include computer operation instructions.

[0058] The processor 502 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention. The one or more processors included in the computing device may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0059] The memory 506 is used to store the program 510. The memory 506 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0060] According to the scheme provided by the present invention, a power grid topology is constructed according to the nodes and tie lines of the power grid; wherein the nodes include but are not limited to substations, power plants and load points; the real-time status data of the equipment of the power grid is monitored in real time and stored in a time series database; the real-time status data of the equipment is estimated according to the state estimation algorithm to obtain the actual operation state of the power grid; a section parameter model of a standardized operation mode is constructed, and the section parameter model includes a power outage equipment parameter table, a control grading parameter table and a control limit parameter table; wherein the power outage equipment parameter table and the control grading parameter table are conditional parameters, and the control limit parameter table is a restriction parameter; the power grid topology, the real-time status data of the equipment and the actual operation state of the power grid are input into the section parameter model to obtain the control limit parameters of the power grid section; wherein the control limit parameters include power flow limit, voltage limit, stability limit, spare capacity and safety margin. The present invention realizes the automatic matching and calculation of the control limit of the power grid section by constructing a section parameter model of a standardized operation mode, thereby reducing manual intervention. By quickly acquiring real-time status data of power grid equipment and using state estimation algorithms to monitor the operation status of the power grid in real time, potential safety issues can be discovered and handled in a timely manner to ensure safe and stable operation of the power grid. Dynamic calculation of section control parameters can be achieved through standardized section parameter models to ensure real-time adjustment of control limit parameters in complex power grid environments and ensure reliable power supply to the power grid.

[0061] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and further may be divided into multiple submodules or subunits or subcomponents. All features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this manner may be combined in any combination, except that at least some of such features and / or processes or units are mutually exclusive. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature that provides the same, equivalent or similar purpose. In addition, those skilled in the art will appreciate that, although some embodiments herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present invention and to form different embodiments. For example, in the following claims, any one of the claimed embodiments may be used in any combination. The present invention may be implemented by means of hardware including several different elements and by means of a suitably programmed computer. In a unit claim that lists several systems, several of these systems may be embodied by the same hardware item. The steps in the above embodiments, unless otherwise specified, should not be understood as limiting the execution order.

Claims

1. A topology-based power grid state limit operation control method, characterized in that: include: Constructing a power grid topology structure according to the nodes and tie lines of the power grid; wherein the nodes include but are not limited to substations, power plants and load points; Real-time monitoring of the real-time status data of the equipment in the power grid and storing it in a time series database; estimating the real-time status data of the equipment according to a state estimation algorithm to obtain the actual operating status of the power grid; Constructing a section parameter model of a standardized operation mode, the section parameter model includes a power outage equipment parameter table, a control grading parameter table and a control limit parameter table; wherein the power outage equipment parameter table and the control grading parameter table are conditional parameters, and the control limit parameter table is a restriction parameter; The grid topology, the real-time status data of the equipment and the actual operating status of the grid are input into the section parameter model to obtain the control limit parameters of the grid section; wherein the control limit parameters include power flow limit, voltage limit, stability limit, spare capacity and safety margin.

2. The power grid state limit operation control method based on topology structure according to claim 1 is characterized by: The power outage equipment parameter table is used to record the power outage equipment information that affects the power grid section control, including but not limited to the equipment number, equipment type, power outage status and power outage time; The control grading parameter table includes different control grading conditions and corresponding control parameters, and is used to adjust the control strategy according to the control grading conditions when the power grid operation state changes; The control limit parameter table includes control limit parameters of the power grid section under different conditions; wherein the control limit parameters include but are not limited to power flow limit, voltage limit, stability limit, spare capacity and safety margin.

3. The power grid state limit operation control method based on topology structure according to claim 1 or 2, characterized in that: The cross-section parameter model for constructing a standardized operation mode includes: Determine the logical relationship between the power outage equipment parameter table and the control grading parameter table; Determine a mapping relationship between the control grading parameter table and the control limit parameter table; According to the input data, the logical relationship and the mapping relationship, the control limit parameters that the current power grid section should reach are calculated in real time; wherein the input data includes the power grid topology, the real-time status data of the equipment and the actual operating status of the power grid.

4. The topology-based grid state limit operation control method according to claim 3 is characterized in that: The real-time calculation of the control limit parameters that the current power grid section should reach based on the input data, the logical relationship and the mapping relationship includes: According to the input data, a power-off device parameter table is searched to determine the device currently in a power-off state; According to the logical relationship between the parameter table of the power-off equipment currently in the power-off state and the control-grading parameter table, matching the corresponding control-grading parameters; According to the mapping relationship between the control classification parameter table and the control limit parameter table, the corresponding control limit parameters are matched; Combined with the actual operating status of the power grid, the control limit parameters that the current power grid section should reach are calculated in real time.

5. The topology-based grid state limit operation control method according to claim 4 is characterized in that: The method further comprises: Setting the control limit parameters in the power grid dispatching automation system as constraint conditions for the current power grid section operation; Monitor the operating status of the current power grid section in real time. When a violation of the control limit is detected, an alarm is issued to notify the dispatcher or control measures are automatically taken.

6. The topology-based grid state limit operation control method according to claim 1 is characterized in that: The estimating the real-time state data of the device according to the state estimation algorithm to obtain the actual operation state of the power grid includes: Establishing a node admittance matrix according to the power grid topology and the real-time status data of the equipment; Establishing a state equation and a measurement equation according to the node admittance matrix; wherein the state equation represents the time evolution of the state vector, and the measurement equation represents the relationship between the state vector and the observable quantity; According to the state equation and the state estimation value at the previous moment, predict the state vector and its covariance matrix at the current moment; Calculating a measurement residual using the measurement equation and the state vector at the current moment; Feeding back the measurement residual to the state vector and covariance matrix through a gain matrix of an extended Kalman filter; The prediction and update are repeated until the convergence condition is met or the predetermined number of iterations is reached, and the optimal estimated values ​​of the voltage, phase angle and power state quantity of each node in the power grid are obtained.

7. The topology-based grid state limit operation control method according to claim 6 is characterized in that: The establishing of a node admittance matrix according to the power grid topology and the real-time status data of the equipment comprises: For each branch in the power grid topology, collecting electrical parameters thereof, wherein the electrical parameters are used to calculate a contribution of the branch to a branch admittance matrix; Calculating a branch admittance matrix based on the electrical parameters and the connection nodes to represent the influence of the branch on the electrical relationship between the connection nodes; The branch admittance matrices of all branches in the power grid topology are superimposed according to the power grid topology to form a node admittance matrix of the entire power grid.

8. The topology-based grid state limit operation control method according to claim 1 is characterized in that: The method further comprises: Compiling the power outage parameters, control grading parameters and control limit parameters in the power grid topology into C language program codes respectively; Generate a shared library file under Linux from the C language program code; The shared library file is dynamically loaded into the memory through the monitoring program, and the functions therein are called according to the section sequence.

9. A topology-based power grid state limit operation control system, characterized in that: include: A power grid topology construction module, used to construct a power grid topology structure according to the nodes and tie lines of the power grid; wherein the nodes include but are not limited to substations, power plants and load points; The real-time data monitoring and state estimation module is used to monitor the real-time state data of the equipment in the power grid in real time and store it in the time series database; the real-time state data of the equipment is estimated according to the state estimation algorithm to obtain the actual operation state of the power grid; A section parameter model construction module is used to construct a section parameter model of a standardized operation mode, wherein the section parameter model includes a power outage equipment parameter table, a control grading parameter table, and a control limit parameter table; wherein the power outage equipment parameter table and the control grading parameter table are conditional parameters, and the control limit parameter table is a restriction parameter; The section control limit calculation module is used to input the power grid topology, the real-time status data of the equipment and the actual operating status of the power grid into the section parameter model to obtain the control limit parameters of the power grid section; wherein the control limit parameters include power flow limit, voltage limit, stability limit, spare capacity and safety margin.

10. A computing device comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the power grid state limit operation control method based on topology structure.

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