Hydropower and new energy integration grid-connected fixed value checking method and system

Abstract

The present application relates to the technical field of power system relay protection, in particular to a hydropower and new energy integration grid-related setting value checking method and system, the system comprises: a panoramic modeling module, which performs parameter input of hydropower station and new energy station equipment; a fault simulation module, which performs fault current simulation under multiple working conditions based on a distributed parallel computing architecture; a setting value calculation module, which generates setting parameters of protection devices; and a grid-related checking module, which constructs a coordination graph of power generation equipment capacity curve and protection action characteristics and outputs checking conclusions. In the present application, by constructing a high-precision mathematical model of multi-energy integration and a parallel computing mechanism, the problem that the traditional single-computer calculation mode is difficult to cope with complex topological changes and dynamic characteristics after new energy is connected is solved, accurate matching and visual verification of grid-related protection setting values and equipment capacity boundaries are realized, protection misoperation or refusal to operate risks are effectively avoided, and the safety defense level and operation and maintenance efficiency of new-type power systems are significantly improved.

Description

Technical Field

[0001] This invention relates to the field of power system relay protection technology, and in particular to a method and system for verifying grid-connected settings that integrates hydropower and new energy sources. Background Technology

[0002] Power system relay protection refers to an automated technical measure that detects faults or abnormalities in the power system, thereby issuing alarm signals or directly isolating and disconnecting the faulty portion. It is the first line of defense to ensure the safe and stable operation of the power grid. Traditionally, power protection setting work mainly relies on manual table lookups, manual calculations, or stand-alone calculation software. Technicians need to manually enter parameters based on drawings provided by the design institute and instructions provided by the equipment manufacturer, and gradually carry out short-circuit current calculations and setting coordination analysis, repeatedly verifying the rationality of the protection settings by checking paper calculations.

[0003] However, with the large-scale integration of hydropower and new energy sources, traditional technologies are no longer sufficient to meet the operation and maintenance needs of new power systems, resulting in significant lags and risks in setting management. First, traditional manual or single-machine calculation methods cannot efficiently handle the large number of equipment nodes and frequent topology changes in new energy power plants, leading to low computational efficiency and susceptibility to human error in data entry. Second, due to the lack of system-level visualization verification methods, technicians find it difficult to intuitively judge the complex coordination between grid protection settings and generator unit physical capabilities (such as overexcitation and deexcitation boundaries). Improper setting can easily cause units to erroneously trip during grid fluctuations or operate beyond limits during faults, seriously threatening the safety of the grid and power generation equipment. Summary of the Invention

[0004] To address the technical problems existing in the prior art, embodiments of the present invention provide a method and system for grid-connected setting verification of hydropower and new energy integration. The technical solution is as follows: On the one hand, it provides a grid-connected setting verification system that integrates hydropower and new energy sources. This system includes: The panoramic modeling module performs parameter analysis on primary and secondary equipment in hydropower stations, wind farms, and photovoltaic power stations, establishes a network-wide system-level topology model, and generates equivalent circuit data. The fault simulation module, based on the entire network system-level topology model, uses distributed parallel computing technology to simulate various operating conditions such as changes in grid topology, fluctuations in new energy output, and adjustments in unit operation modes, and outputs electrical quantity data sequences. The setting value calculation module calculates the action threshold and time parameters of the protection device based on the electrical quantity data sequence and the preset relay protection setting principle, and generates a set of setting values. The grid-connected verification module constructs the physical capability limit curve of the power generation equipment and the protection action characteristic curve corresponding to the set of settings. By comparing the corresponding positional relationship between the physical capability limit curve and the protection action characteristic curve in the coordinate system, it determines whether the grid-connected protection settings meet the equipment safety operation boundary and the upper and lower level coordination requirements, and generates a verification result report.

[0005] As a further aspect of the present invention, the parameter parsing process performed by the panoramic modeling module specifically includes: Read the synchronous generator parameters and excitation system parameters of the hydropower station unit, and establish a mathematical model of the synchronous motor; Read the inverter control parameters and low voltage ride-through characteristic parameters of wind power and photovoltaic power plants, and establish a controlled source equivalent model of new energy power sources; Based on the actual physical connection relationship, the mathematical model of the synchronous motor and the equivalent model of the controlled source of the new energy power source are mapped to the geographic information layer to construct the power plant wiring network topology.

[0006] As a further aspect of the present invention, the distributed parallel computing technology employed in the fault simulation module specifically includes: The task of calculating network-wide faults is decomposed into several independent subtasks, each subtask corresponding to a combination of fault location or operating mode of a target. Distribute subtasks to multiple computing nodes in the computing cluster to perform matrix operations in parallel; Monitor the load status of computing nodes in real time and perform dynamic load balancing adjustments; The computational results from the computing nodes are aggregated to form a complete fault electrical quantity dataset.

[0007] As a further aspect of the present invention, the network protection verification process of the generator-transformer group executed by the network verification module specifically includes: Obtain thermal overload capacity data of generator stator windings and construct stator overload capacity curves; Obtain the operating current setting and operating time of the stator overload protection, and construct the inverse time operating curve of the stator overload protection; Place the stator overload capacity curve and the stator overload protection inverse time action curve in the same time-current coordinate system; By calculating the intersection and spacing between the stator overload capacity curve and the stator overload protection inverse time action curve, it is verified whether the protection action curve is always below the stator overload capacity curve and maintains a preset safety margin.

[0008] As a further aspect of the present invention, the excitation system coordination verification process executed by the network verification module specifically includes: Construct the low-excitation limit action characteristic curve of the excitation regulator; Construct the boundary curve for the generator's loss-of-excitation protection action; Construct the static stability limit curve of the generator; In the coordinate system of the impedance plane, analyze the envelope relationship of the low excitation limit action characteristic curve, the loss of excitation protection action boundary curve and the static stability limit curve to verify whether the loss of excitation protection action range is outside the low excitation limit action range and whether the low excitation limit action range is within the static stability limit range.

[0009] As a further aspect of the present invention, the overexcitation magnetic coordination verification process performed by the network verification module specifically includes: Obtain overexcitation tolerance data for transformers and generators, and construct overexcitation tolerance limit curves for the equipment; Obtain the voltage-frequency ratio limiting function parameters of the excitation regulator and construct the voltage-frequency ratio limiting action curve; Obtain the setting parameters of the overexcitation protection and construct the overexcitation protection action curve; In the voltage-frequency ratio-time coordinate system, by comparing the geometric positions, it is verified that the voltage-frequency ratio limiting action curve takes precedence over the overexcitation protection action curve in starting, and the overexcitation protection action curve clears the fault before the equipment overexcitation capability limiting curve.

[0010] As a further aspect of the present invention, the fixed value calculation module has an automatic fixed value sheet circulation function, which specifically includes: Based on the verified tuning results, a standard setting sheet is automatically generated. The standard setting sheet is assigned a status identifier indicating whether it is pending adjustment, not executed, executed, or obsolete. The data flow permissions of the standard setting sheet are controlled based on status identifiers during the compilation, review, approval, and execution stages. Record the operation log and version change history of the entire process of the standard value sheet circulation.

[0011] As a further aspect of the present invention, the grid-connected verification module also performs verification of the power collection line protection of the new energy power station, the process of which specifically includes: Based on the arrangement of the transformer substations and the length of the collector lines in the new energy power station, calculate the minimum short-circuit current at the end of the collector lines; By comparing the sensitivity coefficient of the collector line protection with the preset threshold, the coverage of the protection settings for faults along the entire line is determined. The relationship between the action time of the collector line protection and the timing of the wind turbine or inverter grid disconnection protection is analyzed to verify the risk of non-selective grid disconnection.

[0012] As a further aspect of the present invention, the system also includes a data interaction and display module, which specifically performs the following: The power plant's primary wiring diagram and protection setting configuration diagram are displayed graphically through a web browser interface. The real-time setting data and protection range of the protection elements are dynamically displayed on the protection setting configuration diagram; In response to user clicks, retrieve and display the associated verification calculation sheets and matching relationship curves from the database.

[0013] On the other hand, the grid connection setting verification method for the integration of hydropower and new energy is based on the aforementioned grid connection setting verification system for the integration of hydropower and new energy, and includes the following steps: By analyzing multi-source heterogeneous data, a power grid system-level topology model including parameters of hydropower and new energy equipment is established, and the electrical characteristic data of each component is initialized. Based on a distributed computing architecture, multi-dimensional fault disturbance excitations are applied to the power grid system-level topology model, and electrical quantity data sequences are calculated and output in parallel. Based on the electrical quantity data sequence and relay protection principle, an integrated set of settings is calculated and generated; The physical limit parameters of the power generation equipment and the integrated set of constant values ​​are converted into geometric curves in the same coordinate system through mapping transformation; Analyze the corresponding positions and intersections of multiple geometric curves to determine the compliance of network protection settings and output a verification report.

[0014] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: By constructing a cloud-based verification system integrating hydropower and new energy, a leap from manual and extensive to intelligent and precise relay protection management has been achieved. Firstly, by utilizing panoramic modeling and distributed parallel computing technologies, the processing speed of massive node data and the realism of fault simulations have been significantly improved, ensuring the real-time performance and accuracy of setting calculations in scenarios with dynamic new energy access. Secondly, by constructing visualized grid-connected protection coordination curves, abstract setting parameters are transformed into intuitive geometric relationships, enabling maintenance personnel to clearly identify the safety margin between protection settings and equipment capability boundaries. This completely resolves deep-seated coordination risks that are difficult to detect with traditional calculation methods, effectively ensuring the coordinated and stable operation of generating units and the power grid under complex operating conditions. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1This is a schematic diagram of the grid-connected setpoint verification system for the integration of hydropower and new energy provided in an embodiment of the present invention; Figure 2 This is a flowchart of the grid-connected setpoint verification method for the integration of hydropower and new energy provided in an embodiment of the present invention. Detailed Implementation

[0017] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0018] To make the technical problems, solutions, and advantages of this invention clearer, a detailed description will be provided below in conjunction with the accompanying drawings and specific embodiments.

[0019] This invention provides a grid-connected setting verification system integrating hydropower and new energy sources, such as... Figure 1-2 The diagram shown illustrates a grid-connected setpoint verification system integrating hydropower and new energy sources. This system includes: The panoramic modeling module performs parameter analysis on primary and secondary equipment in hydropower stations, wind farms, and photovoltaic power stations, establishes a network-wide system-level topology model, and generates equivalent circuit data. The parameter parsing process specifically includes: reading the synchronous generator parameters and excitation system parameters of the hydropower station units to establish a synchronous motor mathematical model; reading the inverter control parameters and low voltage ride-through characteristic parameters of wind power and photovoltaic power plants to establish a controlled source equivalent model of new energy power sources; and mapping the synchronous motor mathematical model and the controlled source equivalent model of new energy power sources to a geographic information layer based on the actual physical connection relationship to construct the power plant wiring network topology.

[0020] Initialize the industrial control protocol interface and directly read the real-time operation data and equipment ledger information of the on-site monitoring background of hydropower stations, wind farms and photovoltaic power stations through the encrypted channel. For hydropower station units, retrieve the stator winding resistance value, direct axis synchronous reactance value, quadrature axis synchronous reactance value, direct axis transient reactance value and rotor inertia time constant value of the synchronous generator, and at the same time read the amplification factor and time constant of the excitation system. In the process of constructing the mathematical model of the synchronous motor, coordinate transformation logic is executed to obtain stator voltage and stator current data in the three-phase stationary coordinate system. The data is then projected onto the synchronously rotating direct-axis and quadrature-axis orthogonal coordinate system through trigonometric function weighted operation to generate direct-axis voltage components, quadrature-axis voltage components, direct-axis current components, and quadrature-axis current components. Based on the principle of flux conservation, the rate of change of rotor flux is calculated using the voltage balance equation, and then the electromagnetic torque and output power are derived. For wind power and photovoltaic power plants, the phase-locked loop gain parameters, current inner loop decoupling coefficient, and voltage outer loop power reference value of the inverter controller are analyzed. The trigger threshold and reactive power support coefficient of the low voltage ride-through protection are read, and an equivalent model including the characteristics of the controlled source is constructed. When the voltage drop at the grid connection point is detected to exceed the preset limit, the reactive current command value is calculated based on the reactive power support coefficient, and the controlled source is driven to inject reactive power to support the grid voltage. The module uses a geographic information interface to obtain the longitude, latitude, and elevation data of each substation and transmission line. Utilizing graph theory algorithms, it maps generators, transformers, and circuit breakers as topological vertices and transmission lines and buses as topological edges. Based on the actual physical connections, it constructs an adjacency matrix, reads the line length and impedance per unit length, and performs multiplication to obtain the total line impedance. It also reads the transformer short-circuit impedance and turns ratio parameters, performs a reduction process to uniformly convert the parameters to the reference voltage level, and finally generates a full-network topology model including the node admittance matrix. Regarding the calculation logic of the synchronous motor's electromagnetic power, the panoramic modeling module obtains the direct-axis voltage and current component values, performs multiplication to obtain the intermediate direct-axis power; it also obtains the quadrature-axis voltage and current component values, performs multiplication to obtain the intermediate quadrature-axis power; and finally, it performs addition on the intermediate direct-axis and quadrature-axis power to obtain the instantaneous electromagnetic power value. For example, the direct-axis voltage component is 0.8 per unit, the direct-axis current component is 0.6 per unit, the quadrature-axis voltage component is 0.5 per unit, and the quadrature-axis current component is 0.4 per unit; the calculated intermediate value of the direct-axis power is 0.48, and the intermediate value of the quadrature-axis power is 0.20. The sum of the two gives an electromagnetic power of 0.68 per unit, as shown in Table 1. The module stores key physical parameters in a structured manner. Table 1: Key Parameter Analysis Table for Power Generation Equipment

[0021] Referring to Table 1, the panoramic modeling module completes the mapping from physical devices to digital models based on the parameters shown in the table.

[0022] The fault simulation module, based on the whole network system-level topology model, uses distributed parallel computing technology to simulate faults under various operating conditions such as changes in grid topology, fluctuations in new energy output, and adjustments in unit operation mode, and outputs electrical quantity data sequences. The distributed parallel computing technology employed specifically includes: decomposing the network-wide fault calculation task into several independent subtasks, each subtask corresponding to a combination of target fault locations or operating modes; distributing the subtasks to multiple computing nodes in the computing cluster to perform matrix operations in parallel; monitoring the load status of computing nodes in real time and performing dynamic load balancing adjustments; and collecting the calculation results from the computing nodes to synthesize a complete fault electrical quantity dataset.

[0023] The system loads the entire network topology model and initializes the communication environment of the high-performance computing cluster. The task decomposition unit employs a graph partitioning algorithm, dividing the entire network topology into multiple independent sub-network regions based on the electrical connectivity of the power grid nodes. According to a pre-defined fault scan list, corresponding fault calculation sub-tasks are generated. Each sub-task includes the target fault location index, fault type (e.g., three-phase short circuit, two-phase grounding), and pre-fault operating mode data. These sub-tasks are distributed to each computing node in the computing cluster via a message passing interface. Upon receiving the task, the computing nodes perform numerical solutions to the power system's differential-algebraic equations. For the generator rotor motion equations, the computing nodes use the implicit trapezoidal integral method to transform the differential equations into difference algebraic equations. For the network voltage and current constraint equations, the computing nodes construct the Jacobian matrix and use the Newton-Raphson iterative method to solve the nonlinear equations. During the iteration process, the residual values ​​of each state variable are monitored in real time until the residuals are less than the preset convergence accuracy. The dynamic load balancer collects the CPU load rate and memory usage of each computing node in real time. When the load rate of a node continuously exceeds 1.2 times the average load rate of the cluster, the load balancer triggers a task migration mechanism, transferring some subtasks in the execution queue of that node to low-load nodes and synchronously transmitting the corresponding state vector data. In the result aggregation phase, the master node collects the time-series data output by each computing node through the high-speed data bus, performs data splicing and time-series alignment based on the node index number of the entire network topology, and synthesizes a complete fault electrical quantity dataset including the entire network voltage amplitude, phase angle, branch current, and unit power angle. Regarding the calculation logic of iterative voltage correction, the current imbalance value of the current iteration step and the inverse matrix element value of the system Jacobian matrix (i.e., equivalent impedance) are obtained, and a multiplication operation is performed to obtain the voltage correction value; the node voltage value of the previous iteration step is obtained, and an addition operation is performed on the voltage value and the voltage correction value to obtain the updated node voltage value. For example, the current imbalance is 0.05 per unit, the system equivalent impedance is 0.2 per unit, and the voltage in the previous iteration step is 1.0 per unit. The module calculates a voltage correction of 0.01 per unit, adds it to 1.0, and obtains an updated voltage value of 1.01 per unit. This calculation logic ensures that the simulation results closely approximate the actual physical state. Experimental data shows that after adopting this distributed parallel computing architecture, the time consumption for N-1 fault scanning of a 2000-node power grid is reduced by 85% compared to single-machine calculation, and the voltage calculation error is controlled within 1%.

[0024] The setting value calculation module calculates the action threshold and time parameters of the protection device based on the electrical quantity data sequence and the preset relay protection setting principle, and generates a set of setting values. The module has an automatic value sheet circulation function, which specifically includes: automatically mapping and generating standard value sheets based on the verified adjustment results; assigning status identifiers to standard value sheets as pending adjustment, not executed, executed, or obsolete; controlling the data circulation permissions of standard value sheets in the preparation, review, approval, and execution stages based on the status identifiers; and recording the operation log and version change history of the entire standard value sheet circulation process.

[0025] The system accesses fault electrical quantity data sequences, identifies the minimum short-circuit current branch coefficient, maximum load current, and equivalent impedance under the minimum system operating mode associated with the protection device to be set, and calls the preset setting calculation logic according to the relay protection setting regulations. For distance protection, it reads the positive sequence impedance parameters and reliability coefficient of the protected line and generates the operating impedance setting value through calculation. For overcurrent protection, it reads the maximum load current data, reliability coefficient, and relay return coefficient and generates the starting current setting value through calculation. An automatic setting sheet flow engine is constructed, using a finite state machine model to manage the lifecycle of the setting sheet. A status identifier variable is defined for each setting sheet, initially assigned a value of 1, representing the compilation stage. When the setting calculation is completed and the setting data table is generated, the status identifier changes to 2, representing the pending review stage. According to the user permission control list, only accounts with review permissions are allowed to perform approval operations on setting sheets with a status of 2. If the approval is successful, the status identifier changes to 3, representing approved and pending execution; if the approval is rejected, the status identifier reverts to 1. When a status change is triggered, the module automatically records the operation time, operator, and data version snapshot, and stores them in the audit log database; Regarding the calculation logic for the overcurrent protection starting current, the setting calculation module obtains the maximum load current value and the reliability coefficient value of the line, performs a multiplication operation to obtain the primary side operating current threshold, obtains the relay return coefficient value, divides the primary side operating current threshold by the return coefficient value, and obtains the final setting starting current value. For example, if the maximum load current of the line is 600 amps, the reliability coefficient is 1.2, and the return coefficient is 0.9, the module calculates the primary side operating current threshold to be 720 amps, then divides it by 0.9 to obtain the setting starting current value of 800 amps. This calculation result serves as the operating benchmark for the protection device, ensuring that the device has fault detection capability while avoiding the maximum load current. As shown in Table 2, the module performs the above calculations according to the clearly defined parameters. Table 2: Key Parameters for Protection Setting Calculation

[0026] Referring to Table 2, the setting calculation module uses the above parameters to achieve accurate calculation of the protection setting.

[0027] The grid-connected verification module constructs the physical capacity limit curve of the power generation equipment and the protection action characteristic curve corresponding to the set of setting values. By comparing the corresponding positional relationship between the physical capacity limit curve and the protection action characteristic curve in the coordinate system, it determines whether the grid-connected protection setting values ​​meet the equipment safety operation boundary and the upper and lower level coordination requirements, and generates a verification result report. The specific verification process for grid-connected protection of generator-transformer units includes: acquiring thermal overload capacity data of generator stator windings and constructing stator overload capacity curves; acquiring the operating current setting and operating time of stator overload protection and constructing stator overload protection inverse-time operating curves; placing the stator overload capacity curve and the stator overload protection inverse-time operating curve in the same time-current coordinate system; and verifying whether the protection operating curve is located below the stator overload capacity curve and maintains the preset safety margin by calculating the intersection and spacing of the stator overload capacity curve and the stator overload protection inverse-time operating curve. The specific excitation system coordination verification process includes: constructing the low excitation limit action characteristic curve of the excitation regulator; constructing the generator loss-of-excitation protection action boundary curve; constructing the generator static stability limit curve; and analyzing the envelope relationship of the low excitation limit action characteristic curve, the loss-of-excitation protection action boundary curve, and the static stability limit curve in the coordinate system of the impedance plane to verify whether the loss-of-excitation protection action range is outside the low excitation limit action range and whether the low excitation limit action range is within the static stability limit range. The overexcitation coordination verification process specifically includes: acquiring overexcitation withstand capability data of transformers and generators, and constructing equipment overexcitation capability limit curves; acquiring voltage-frequency ratio limit function parameters of excitation regulators, and constructing voltage-frequency ratio limit action curves; acquiring overexcitation protection setpoint parameters, and constructing overexcitation protection action curves; and verifying, through geometric position comparison in the voltage-frequency ratio-time coordinate system, that the voltage-frequency ratio limit action curve starts before the overexcitation protection action curve, and that the overexcitation protection action curve clears faults before the equipment overexcitation capability limit curve. The process also includes verifying the protection of the collection lines in new energy power plants. This process specifically includes: calculating the minimum short-circuit current at the end of the collection lines based on the arrangement of the transformer substations and the length of the collection lines in the new energy power plants; comparing the sensitivity coefficient of the collection line protection with the preset threshold to determine the coverage of the protection settings for faults along the entire line; and analyzing the coordination relationship between the action time of the collection line protection and the time of the wind turbine or inverter disconnection protection to verify the risk of non-selective disconnection.

[0028] Protection coordination verification was performed for the generator-transformer unit, excitation system, and new energy power station. For the grid-connected protection of the generator-transformer unit, the thermal overload capacity constant of the generator stator winding was obtained, and a stator overload capacity curve reflecting the relationship between the square of the current and the product of time was constructed. Simultaneously, the reference current and inverse time constant of the stator overload protection were obtained, and a protection action characteristic curve was constructed. The two curves were placed in the same current-time coordinate system, and the difference between the equipment withstand time and the protection action time under the same current abscissa was calculated to verify whether the protection action curve lies entirely below the equipment capacity curve. For the excitation system, the low excitation limit action boundary, the loss-of-excitation protection action area, and the generator static stability limit curve were constructed on the impedance complex plane. By calculating the geometric positional relationship, it was verified whether the loss-of-excitation protection action range is outside the low excitation limit action range and within the static stability limit range. For the new energy collection lines, the minimum short-circuit current at the end was calculated based on the transformer topology and line length. The sensitivity coefficient was calculated by comparing the protection setting current, and the coordination between the collection line protection action time and the wind turbine disconnection time was verified. The calculation logic for stator overload coordination margin involves setting a fault current multiple and calculating the allowable operating time of the equipment based on the thermal overload capacity formula. The protection action time is then calculated using the inverse-time protection equation. Subtracting the protection action time from the allowable operating time yields the coordination margin time. For example, with a fault current multiple of 2.0, a thermal overload constant of 30, and an inverse-time constant of 20 (standard inverse-time characteristic), the module calculates the allowable operating time as 7.5 seconds (30 divided by 4) and the protection action time as 20 seconds (20 divided by 1). The subtraction operation yields a coordination margin of -12.5 seconds. This negative value indicates that the protection action lags behind equipment failure, generating an alarm report indicating a failed verification. This logic ensures that the grid-connected protection settings meet grid operation requirements while guaranteeing equipment safety, effectively mitigating the risk of unplanned outages.

[0029] The data interaction and display module specifically performs the following: It graphically displays the power plant's primary wiring diagram and protection setting configuration diagram via a web browser interface; it dynamically displays the real-time setting data and protection range of protection components on the protection setting configuration diagram; and in response to user clicks, it retrieves and displays associated verification calculation sheets and coordination relationship curves from the database.

[0030] Initialize a web-based graphics rendering engine, parse the topology data file, and instantiate substations, transformers, circuit breakers, and line objects into vector graphics primitives. Bind a unique device index identifier and geographic coordinate attribute to each primitive. Establish a WebSocket long-lived connection channel with the backend server to subscribe to protection setting data and protection range status streams in real time. When the latest setting data packet is received, parse the device index and numerical content in the data packet, directly update the display attributes of the corresponding primitive, trigger the layout redrawing mechanism, and dynamically refresh the protection setting labels on the primary wiring diagram. A built-in interactive event listener captures user clicks on the graphical interface. When a user clicks on a target protection element icon, the module extracts the device index identifier of that element, constructs a database query command, retrieves the associated network verification calculation sheet and coordination relationship curve data, calls the chart rendering component, and draws the physical capability limit curve data points and protection action curve data points on the same layer, using different colors to distinguish curve types and displaying them to the user in a floating window. The logic for mapping and calculating the screen coordinates of graphic elements involves obtaining the geographic longitude and latitude values ​​of the graphic element, obtaining the longitude and latitude values ​​of the current canvas view center, and performing a subtraction operation to obtain the longitude and latitude deviation value. It then obtains the current map zoom factor (pixels per degree), multiplies the longitude and latitude deviation value by the zoom factor to obtain the pixel offset, and adds the pixel offset to the screen pixel coordinates of the canvas center to obtain the final drawing coordinates of the graphic element on the display. For example, if the longitude of the graphic element is 120.5 degrees, the longitude of the canvas center is 120.0 degrees, the zoom factor is 1000 pixels per degree, and the horizontal coordinate of the canvas center is 960 pixels, the module calculates a longitude difference of 0.5 degrees and a pixel offset of 500 pixels, resulting in a final horizontal coordinate of 1460 pixels. This calculation logic achieves accurate mapping of geospatial data to the visualization interface, enabling users to intuitively perceive the spatial distribution of protection settings within the power grid topology.

[0031] Please see Figure 2 The grid connection setting verification method for the integration of hydropower and new energy is implemented based on the aforementioned grid connection setting verification system for the integration of hydropower and new energy, and includes the following steps: S1: By parsing multi-source heterogeneous data, a power grid system-level topology model including parameters of hydropower and new energy equipment is established, and the electrical characteristic data of each component is initialized; S2: Based on a distributed computing architecture, multi-dimensional fault disturbance excitations are applied to the power grid system-level topology model, and electrical quantity data sequences are calculated and output in parallel. S3: Based on the electrical quantity data sequence and relay protection principle, calculate and generate an integrated set of settings; S4: Transform the physical limit parameters and integrated set of constants of the power generation equipment into geometric curves in the same coordinate system through mapping transformation; S5: Analyze the corresponding positions and intersections of multiple geometric curves, determine the compliance of network protection settings, and output a verification report.

[0032] The above embodiments illustrate preferred embodiments of the present invention. Any equivalent adjustments to the technical solution based on software engineering methods are within the scope of protection, including but not limited to: implementing algorithm logic using different programming languages, refactoring functional modules into services, adjusting data interaction protocols, and optimizing resource scheduling strategies. Any implementation scheme derived from reasonable modifications to the data processing flow, service call chain, or system architecture layer without departing from the core technology of the present invention should be considered within the protection scope defined by the technical solution of the present invention.

Claims

1. A grid-connected setpoint verification system integrating hydropower and new energy, characterized in that, The system includes: The panoramic modeling module performs parameter analysis on primary and secondary equipment in hydropower stations, wind farms, and photovoltaic power stations, establishes a network-wide system-level topology model, and generates equivalent circuit data. The fault simulation module, based on the entire network system-level topology model, uses distributed parallel computing technology to simulate various operating conditions such as changes in grid topology, fluctuations in new energy output, and adjustments in unit operation modes, and outputs electrical quantity data sequences. The setting value calculation module calculates the action threshold and time parameters of the protection device based on the electrical quantity data sequence and the preset relay protection setting principle, and generates a set of setting values. The grid-connected verification module constructs the physical capability limit curve of the power generation equipment and the protection action characteristic curve corresponding to the set of settings. By comparing the corresponding positional relationship between the physical capability limit curve and the protection action characteristic curve in the coordinate system, it determines whether the grid-connected protection settings meet the equipment safety operation boundary and the upper and lower level coordination requirements, and generates a verification result report.

2. The grid-connected setpoint verification system for the integration of hydropower and new energy sources according to claim 1, characterized in that, The parameter parsing process performed by the panoramic modeling module specifically includes: Read the synchronous generator parameters and excitation system parameters of the hydropower station unit, and establish a mathematical model of the synchronous motor; Read the inverter control parameters and low voltage ride-through characteristic parameters of wind power and photovoltaic power plants, and establish a controlled source equivalent model of new energy power sources; Based on the actual physical connection relationship, the mathematical model of the synchronous motor and the equivalent model of the controlled source of the new energy power source are mapped to the geographic information layer to construct the power plant wiring network topology.

3. The grid-connected setting verification system for the integration of hydropower and new energy sources according to claim 1, characterized in that, The distributed parallel computing technology used in the fault simulation module specifically includes: The task of calculating network-wide faults is decomposed into several independent subtasks, each subtask corresponding to a combination of fault location or operating mode of a target. Distribute subtasks to multiple computing nodes in the computing cluster to perform matrix operations in parallel; Monitor the load status of computing nodes in real time and perform dynamic load balancing adjustments; The computational results from the computing nodes are aggregated to form a complete fault electrical quantity dataset.

4. The grid-connected setpoint verification system for the integration of hydropower and new energy sources according to claim 1, characterized in that, The network protection verification process for the generator-transformer group executed by the network verification module specifically includes: Obtain thermal overload capacity data of generator stator windings and construct stator overload capacity curves; Obtain the operating current setting and operating time of the stator overload protection, and construct the inverse time operating curve of the stator overload protection; Place the stator overload capacity curve and the stator overload protection inverse time action curve in the same time-current coordinate system; By calculating the intersection and spacing between the stator overload capacity curve and the stator overload protection inverse time action curve, it is verified whether the protection action curve is always below the stator overload capacity curve and maintains a preset safety margin.

5. The grid-connected setpoint verification system for the integration of hydropower and new energy sources according to claim 1, characterized in that, The excitation system coordination verification process executed by the network-related verification module specifically includes: Construct the low-excitation limit action characteristic curve of the excitation regulator; Construct the boundary curve for the generator's loss-of-excitation protection action; Construct the static stability limit curve of the generator; In the coordinate system of the impedance plane, analyze the envelope relationship of the low excitation limit action characteristic curve, the loss of excitation protection action boundary curve and the static stability limit curve to verify whether the loss of excitation protection action range is outside the low excitation limit action range and whether the low excitation limit action range is within the static stability limit range.

6. The grid-connected setting verification system for the integration of hydropower and new energy sources according to claim 1, characterized in that, The overexcitation magnetic coordination verification process performed by the network-related verification module specifically includes: Obtain overexcitation tolerance data for transformers and generators, and construct overexcitation tolerance limit curves for the equipment; Obtain the voltage-frequency ratio limiting function parameters of the excitation regulator and construct the voltage-frequency ratio limiting action curve; Obtain the setting parameters of the overexcitation protection and construct the overexcitation protection action curve; In the voltage-frequency ratio-time coordinate system, by comparing the geometric positions, it is verified that the voltage-frequency ratio limiting action curve takes precedence over the overexcitation protection action curve in starting, and the overexcitation protection action curve clears the fault before the equipment overexcitation capability limiting curve.

7. The grid-connected setpoint verification system for the integration of hydropower and new energy sources according to claim 1, characterized in that, The fixed value calculation module has an automatic fixed value sheet circulation function, which specifically includes: Based on the verified tuning results, a standard setting sheet is automatically generated. The standard setting sheet is assigned a status identifier indicating whether it is pending adjustment, not executed, executed, or obsolete. The data flow permissions of the standard setting sheet are controlled based on status identifiers during the compilation, review, approval, and execution stages. Record the operation log and version change history of the entire process of the standard value sheet circulation.

8. The grid-connected setting verification system for the integration of hydropower and new energy sources according to claim 1, characterized in that, The grid-related verification module also performs verification of the collector line protection of new energy power plants, which specifically includes: Based on the arrangement of the transformer substations and the length of the collector lines in the new energy power station, calculate the minimum short-circuit current at the end of the collector lines; By comparing the sensitivity coefficient of the collector line protection with the preset threshold, the coverage of the protection settings for faults along the entire line is determined. The relationship between the action time of the collector line protection and the timing of the wind turbine or inverter grid disconnection protection is analyzed to verify the risk of non-selective grid disconnection.

9. The grid-connected setpoint verification system for the integration of hydropower and new energy sources according to claim 1, characterized in that, The system also includes a data interaction and display module, which specifically performs the following: The power plant's primary wiring diagram and protection setting configuration diagram are displayed graphically through a web browser interface. The real-time setting data and protection range of the protection elements are dynamically displayed on the protection setting configuration diagram; In response to user clicks, retrieve and display the associated verification calculation sheets and matching relationship curves from the database.

10. A method for verifying grid-connected setpoints for the integration of hydropower and new energy, characterized in that, The implementation of the grid-connected setting verification system for the integration of hydropower and new energy as described in any one of claims 1-9 includes the following steps: By analyzing multi-source heterogeneous data, a power grid system-level topology model including parameters of hydropower and new energy equipment is established, and the electrical characteristic data of each component is initialized. Based on a distributed computing architecture, multi-dimensional fault disturbance excitations are applied to the power grid system-level topology model, and electrical quantity data sequences are calculated and output in parallel. Based on the electrical quantity data sequence and relay protection principle, an integrated set of settings is calculated and generated; The physical limit parameters of the power generation equipment and the integrated set of constant values ​​are converted into geometric curves in the same coordinate system through mapping transformation; Analyze the corresponding positions and intersections of multiple geometric curves to determine the compliance of network protection settings and output a verification report.

Images