Power grid multi-resource coordination control method and system based on double indexes

Abstract

The invention relates to the technical field of power grid safe and stable operation control, in particular to a power grid multi-resource coordination control method and system based on double indexes. The method comprises the following steps: obtaining a typical mode of a power grid, a stability control system and measures after a direct-current locking fault and controllable information of each control resource; a power grid typical mode adopts an electromagnetic transient-motor transient hybrid simulation method to simulate a steady-state overvoltage scene derived from each control resource stability control measure after a direct-current locking fault; a wide-area measurement system and an in-situ measurement device are used for monitoring system frequency and bus voltage information to calculate frequency deviation sensitivity and voltage variance control sensitivity of a transient frequency deviation area; the two sensitivity indexes are multiplied to obtain priority coefficients, the priorities of different control resources are determined on the basis of the priority coefficients from small to large, and coordinated configuration of multiple control resources such as energy storage power emergency control, direct current power emergency support, new energy feed line cutting and conventional unit cutting is achieved. The stable control problem of the frequency voltage in the new energy enriched region is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid safe and stable operation control, and in particular to a power grid multi-resource coordinated control method and system based on dual indicators. Background Art

[0002] As the installed capacity of new energy increases, new energy-rich areas have weak support, low anti-interference, and poor matching of active and reactive response. Overvoltage problems have become the main reason for limiting the transmission capacity of new energy DC transmission systems. New energy has low tolerance to high and low voltages, high and low frequencies, and a high probability of disconnection from the grid. The low-frequency problem caused by large-scale new energy disconnection will lead to a chain reaction. The resulting frequency, voltage and synchronous stability problems make the operation of the power grid more complicated, and the power grid faces unprecedented operating pressure. After the large-capacity DC is locked, there is a problem of coordination between multiple cutting measures, and once the safety control refuses to operate, it will cause high-frequency problems throughout the entire network.

[0003] In general, it is difficult to control the safety and stability of large-scale renewable energy bases, and the probability of cascading failures is high, which seriously threatens the safety of the power grid. The existing emergency control concepts and coordinated control methods based on deterministic rules cannot cope with transient uncertain behaviors such as renewable energy fault ride-through and grid disconnection, as well as the steady-state overvoltage cascading problems derived from DC blocking and cutting.

[0004] The present invention aims at the active voltage correlation caused by emergency control measures of different control resources. The interactive coupling influence is complex and it is necessary to clarify the control effect of each control resource. On the basis of quantitative evaluation, a multi-resource coordinated control method and system are proposed to achieve the improvement of frequency and voltage in new energy-rich areas. Summary of the invention

[0005] In view of the problems existing in the prior art, the inventor proposed the present invention.

[0006] Therefore, the problem to be solved by the present invention is how to solve the problem of overvoltage, which has become the main reason for limiting the power transmission capacity of the new energy DC transmission system. New energy has low tolerance to high and low voltage, high and low frequency, and a high probability of disconnection from the grid. The low-frequency problem caused by large-scale new energy disconnection will lead to a chain reaction. The resulting frequency, voltage and synchronous stability problems make the operation of the power grid more complicated, and the power grid faces unprecedented operating pressure. After the large-capacity DC is locked, there is a problem of coordination between multiple cutting measures, and once the safety control refuses to operate, it will cause high-frequency problems throughout the entire network.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] In a first aspect, an embodiment of the present invention provides a method for coordinated control of multiple resources in a power grid based on dual indicators, which includes obtaining typical modes of the power grid, a stabilization control system and measures after a DC blocking fault, and controllable information of each control resource;

[0009] Based on the typical power grid simulation, the steady-state overvoltage scenario is derived after simulating the stabilization measures of various control resources for DC blocking failures;

[0010] Monitor system frequency and bus voltage information, calculate frequency deviation sensitivity based on transient frequency deviation area and voltage variance control sensitivity based on voltage variance after stabilization measures of each control resource;

[0011] The frequency offset sensitivity is multiplied by the voltage variance control sensitivity to obtain the priority coefficient. The priorities of different control resources are determined by sorting them from small to large based on the priority coefficients, and a multi-resource coordinated control strategy is configured in the multi-resource coordinated control system.

[0012] As an optimal scheme of the dual-indicator based power grid multi-resource coordinated control method described in the present invention, the typical power grid modes include: summer peak, summer waist load, summer waist new energy generation, winter peak, winter waist load, winter waist new energy generation typical modes.

[0013] As an optimal solution of the dual-indicator based multi-resource coordinated control method of the power grid described in the present invention, the stabilization control system and measures after the DC lockout fault include: the coordination method of the stabilization control system, the parameter configuration of the stabilization control system, the method of cutting off the new energy feeder, the method of cutting off the conventional unit, the energy storage emergency control method, and the method of increasing the DC power.

[0014] As a preferred solution of the dual-index-based power grid multi-resource coordinated control method described in the present invention, the controllable information of the control resources includes: controllable quantity, control type, control time, and controllable state.

[0015] As a preferred scheme of the dual-indicator-based multi-resource coordinated control method of the power grid described in the present invention, the configuration steps of the multi-resource coordinated control strategy include: determining the total active surplus after DC locking and the imbalance that the system can bear by collecting system frequency, voltage and power data; calculating the total amount of stabilization measures taken by the multi-resource coordinated control system; allocating them according to the priority of each control resource, first configuring the controllable amount of controllable resources with high priority, and then allocating the controllable amount of controllable resources with low priority, until the total amount of stabilization measures is configured.

[0016] As a preferred solution of the dual-indicator based multi-resource coordinated control method of the power grid described in the present invention, the control resources include: energy storage, DC power, new energy feeders and conventional units; according to the order of priority coefficients from small to large, the priority of the control resources is: energy storage power emergency control, DC power emergency support, new energy feeder cutting, and conventional unit cutting.

[0017] As a preferred solution of the dual-index-based power grid multi-resource coordinated control method described in the present invention, the smaller the priority coefficient is, the more the control resource eliminates the offset of system frequency and voltage, and the higher its priority is.

[0018] In a second aspect, an embodiment of the present invention provides a dual-index-based power grid multi-resource coordinated control system, which includes an information acquisition module for acquiring typical power grid modes, stabilization control systems and measures after DC blocking faults, and controllable information of each control resource;

[0019] The scenario generation module simulates the DC blocking fault based on the typical power grid mode and derives the steady-state overvoltage scenario after taking various control resource stabilization measures;

[0020] The calculation module monitors the system frequency and bus voltage information, and calculates the frequency deviation sensitivity based on the transient frequency deviation area and the voltage variance control sensitivity based on the voltage variance after the stabilization measures of each control resource;

[0021] The coordinated control module multiplies the frequency offset sensitivity and the voltage variance control sensitivity to obtain a priority coefficient, determines the priority of different control resources based on the priority coefficients sorted from small to large, and configures a multi-resource coordinated control strategy in the multi-resource coordinated control system.

[0022] In a third aspect, an embodiment of the present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program instructions are executed by the processor, the steps of the dual-indicator based power grid multi-resource coordinated control method as described in the first aspect of the present invention are implemented.

[0023] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program instructions are executed by a processor, the steps of the dual-indicator based power grid multi-resource coordinated control method as described in the first aspect of the present invention are implemented.

[0024] The beneficial effects of the present invention are as follows: the present invention realizes accurate evaluation of the whole working condition and the whole process of the new energy-rich power grid by establishing a "frequency-voltage" dual-index evaluation system and combining the electromagnetic transient-motor transient hybrid simulation method. By multiplying the frequency offset sensitivity and the voltage variance control sensitivity to obtain the priority coefficient, a quantitative evaluation mechanism for the control resource priority is established, which solves the problem of strong subjectivity of the traditional empirical judgment method. The progressive control strategy based on priority realizes the coordinated configuration of various control resources such as energy storage, DC power, new energy and conventional units, avoiding the impact of the traditional single control method on the system. A hierarchical control architecture is adopted to divide the control resources into a fast control layer and a slow control layer according to the response characteristics, which significantly improves the control efficiency of the system. This method improves the safety and stability level of the new energy-rich power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 It is a flow chart of a multi-resource coordinated control method for a power grid based on dual indicators;

[0027] Figure 2 Computer equipment diagram of the power grid multi-resource coordinated control method based on dual indicators. DETAILED DESCRIPTION

[0028] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0029] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0030] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0031] Example 1

[0032] Reference Figure 1-2 , which is the first embodiment of the present invention, and provides a method for coordinated control of multiple resources of a power grid based on dual indicators, comprising:

[0033] S100: Obtain typical grid modes, stabilization control systems and measures after DC blocking faults, and controllable information of various control resources;

[0034] S101: Typical power grid modes include: summer peak, summer mid-load, summer mid-load new energy generation, winter peak, winter mid-load, and winter mid-load new energy generation.

[0035] Specifically, the summer peak refers to the peak electricity consumption period from June to August each year, usually from 2 pm to 8 pm; the summer mid-load refers to the stable electricity consumption period in summer, usually from 10 am to 2 pm; the summer waist-load refers to the period in summer when the power generation of photovoltaic, wind power and other new energy sources is large, usually from 8 am to 4 pm; the winter peak refers to the peak electricity consumption period from December to February of the following year, usually from 8 am to 10 pm; the winter mid-load refers to the stable electricity consumption period in winter, usually from 0 am to 6 am; the winter waist-load refers to the period in winter when the power generation of new energy is large, usually from 9 am to 3 pm.

[0036] In an optional embodiment, the selection of a typical power grid mode needs to consider the following factors: first, seasonal load characteristics must be considered, as the electricity load curves in different seasons are significantly different; second, the output characteristics of renewable energy must be considered, as both photovoltaic power generation and wind power generation have obvious time characteristics; third, the operating characteristics of the DC transmission system must be considered, as the transmission power of the DC system will change with changes in load and renewable energy output.

[0037] S103: The controllable information of the control resources includes: controllable quantity, control type, control time, and controllable state.

[0038] Specifically, controllable quantity refers to the power range that can be adjusted by various control resources, such as the charging and discharging power range of energy storage systems, the power adjustment range of DC systems, the output range of new energy stations, and the adjustment range of conventional units. Control types include fast control and slow control, where the response time of fast control is in milliseconds and the response time of slow control is in seconds. Control time includes start delay, execution time, and recovery time. Controllable states include normal, fault, maintenance, and locked states.

[0039] In an optional embodiment, the controllable information of the control resources needs to be updated and maintained in real time. The system collects the real-time status information of each control resource through the SCADA system, including the equipment operation status, protection action status and communication status. At the same time, the system also needs to establish a database of control resources to record historical control effects, fault statistics and reliability evaluation information.

[0040] It should be noted that accurately grasping the controllable information of control resources is the basis for realizing coordinated control of multiple resources. This application adopts a combination of distributed data acquisition and centralized management to ensure the real-time and reliability of data. At the same time, by establishing a control resource evaluation model, the control effects of different control resources can be quantitatively evaluated to provide a basis for the optimization of control strategies.

[0041] S200: Based on typical grid simulation, steady-state overvoltage scenarios are derived after simulating the stabilization measures of various control resources for DC blocking faults;

[0042] In the embodiment of the present application, the simulation adopts the electromagnetic transient-motor transient hybrid simulation method, which can simultaneously reflect the system's fast electromagnetic transient process and relatively slow electromechanical transient process. The simulation time window is 20 seconds, of which the electromagnetic transient model is used in the first 100 milliseconds and the motor transient model is used in the subsequent period.

[0043] Specifically, the simulation steps include: first, establish a detailed system model, including generators, transformers, lines, loads and control equipment; then set the DC lockout fault, including fault type, fault location and fault duration; then apply various control measures, including energy storage control, DC regulation, new energy removal and conventional unit removal; finally, observe the system response, focusing on system frequency and key node voltages.

[0044] In an optional embodiment, the simulation may consider different fault conditions and control strategy combinations. For example, two fault types, single-pole lockout and double-pole lockout, may be simulated, different fault durations (such as 100ms, 200ms, and 300ms) may be considered, and different control measure combinations (such as a single measure and a combination of multiple measures) may be adopted. In this way, the effects of various control measures may be comprehensively evaluated.

[0045] Specifically, when conducting simulation, we need to focus on the following aspects:

[0046] System frequency response: including frequency drop depth, frequency recovery time and frequency stability level.

[0047] Node voltage characteristics: including transient overvoltage amplitude, duration and recovery characteristics.

[0048] Generator set response: including power angle stability, reactive output change and excitation system response.

[0049] New energy station characteristics: including low voltage ride-through capability, active power recovery characteristics and reactive power support capability.

[0050] It should be noted that the simulation method adopted in this application has the following advantages: first, the hybrid simulation method can accurately reflect the electromagnetic transient and electromechanical transient characteristics of the system, thereby improving the accuracy of the simulation results; second, by setting a reasonable simulation time window, the complete dynamic response process of the system can be observed; third, detailed system modeling ensures the consistency of the simulation results with the actual system.

[0051] S201: The stabilization control system and measures after a DC lockout fault include: coordination method of the stabilization control system, parameter configuration of the stabilization control system, method of cutting off new energy feeders, method of cutting off conventional units, method of energy storage emergency control, and method of increasing DC power.

[0052] Specifically, the coordination methods of the stability control system include control sequence coordination, control quantity coordination and control time coordination. The parameter configuration of the stability control system includes trigger value setting, action delay setting and unlocking condition setting. The methods of cutting new energy feeders include single feeder cutting, group cutting and wheel cutting. The methods of cutting conventional units include unit output reduction and unit decoupling. The energy storage emergency control methods include power rapid response and energy support. The methods of increasing DC power include single-pole power increase and bipolar power increase.

[0053] In an optional embodiment, the coordination mode of the stabilization control system can be dynamically adjusted according to the different operating modes of the system. For example, in the case of large-scale renewable energy generation, the method of cutting renewable energy feeders can be preferred; in the case of mainly traditional thermal power units, the method of cutting conventional units can be preferred. At the same time, the energy storage system can be used as a rapid response resource to provide support in the first time after a fault occurs.

[0054] It should be noted that this application fully considers the characteristics of various control resources and the actual needs of system operation when selecting stabilization measures. For example, the energy storage system has the characteristics of fast response speed and bidirectional adjustment, which is suitable as the first line of defense; the DC system has the characteristics of flexible control and rapid adjustment, which is suitable as the second line of defense; new energy and conventional units need to be used with caution because they involve the removal of actual equipment. This hierarchical control strategy not only improves the reliability of the system, but also reduces the risk of equipment loss.

[0055] S300: monitor system frequency and bus voltage information, calculate frequency deviation sensitivity based on transient frequency deviation area and voltage variance control sensitivity based on voltage variance after stabilization measures of various control resources;

[0056] In the embodiment of the present application, the system frequency monitoring adopts the wide area measurement system (WAMS), and the PMU device is arranged at the key nodes to collect frequency information in real time. The bus voltage monitoring adopts the local measurement device, including the voltage transformer and the digital measurement unit. The sampling frequency is 50 points per second, and the measurement accuracy is better than 0.2%.

[0057] Specifically, the calculation steps of frequency offset sensitivity are as follows: Get the steady-state frequency before the fault occurs as the reference frequency. Record the frequency dynamic response curve after the fault occurs. Calculate the area between the frequency offset curve and the reference frequency. Divide the area value by the power change of the control measure.

[0058] In an optional embodiment, the frequency offset sensitivity can be calculated using different integration methods, such as the rectangular method, the trapezoidal method, and the Simpson method. Among them, the rectangular method is simple to calculate but has low accuracy, the trapezoidal method achieves a good balance between accuracy and calculation amount, and the Simpson method has the highest accuracy but the largest amount of calculation. This application uses the trapezoidal method for integration calculation, which can meet the needs of engineering applications.

[0059] It should be noted that the following points should be noted when calculating frequency offset sensitivity:

[0060] The selection of integration time should be reasonable, including the complete dynamic response process and avoiding the introduction of irrelevant system disturbances. The reference frequency should be selected accurately, and the steady-state frequency or nominal frequency before the fault can be used. The frequency measurement data should be pre-processed, including denoising, filtering and outlier processing.

[0061] In the embodiment of the present application, the calculation of the voltage variance control sensitivity is based on the measured data of the bus voltage. First, key monitoring nodes are selected, including the main bus of the substation, the new energy access point, and the load center. Then the voltage change process of each node is recorded, and the mean square error of the voltage deviation is calculated. Finally, the voltage variance is divided by the power change of the control measure to obtain the voltage variance control sensitivity.

[0062] Specifically, the calculation of voltage variance control sensitivity involves the following key parameters:

[0063] Voltage safety threshold: usually set to ±5% of the rated voltage. Number of monitoring nodes: determined according to the system scale and importance, usually 10-20 key nodes are selected. Sampling time window: consistent with frequency monitoring, select a 20-second observation window.

[0064] In an optional embodiment, the calculation of voltage variance may take into account the weights of different nodes. For example, a larger weight may be assigned to important user access points, and a smaller weight may be assigned to common load nodes. This weighted calculation method may better reflect the actual impact of control measures on the system.

[0065] It should be noted that the calculation of voltage variance control sensitivity requires the following attention: the accuracy of voltage measurement data is high, and the measurement equipment needs to be calibrated regularly. The data of nodes with different voltage levels must be processed. The calculation results must take into account the constraints of system reactive power balance.

[0066] S400: Multiplying the frequency offset sensitivity and the voltage variance control sensitivity to obtain a priority coefficient, determining priorities of different control resources based on the priority coefficients in ascending order, and configuring a multi-resource coordinated control strategy in the multi-resource coordinated control system.

[0067] S401: The configuration steps of the multi-resource coordinated control strategy include: determining the total active surplus after DC blocking and the unbalanced amount that the system can bear by collecting system frequency, voltage and power data; calculating the total amount of stabilization measures taken by the multi-resource coordinated control system; allocating them according to the priority of each control resource, first configuring the controllable amount of controllable resources with high priority, and then allocating the controllable amount of controllable resources with low priority, until the total amount of stabilization measures is configured.

[0068] S402: Control resources include: energy storage, DC power, new energy feeders and conventional units; according to the order of priority coefficients from small to large, the priority of control resources is: energy storage power emergency control, DC power emergency support, new energy feeder switching, and conventional unit switching.

[0069] S403: The smaller the priority coefficient is, the more the control resource eliminates the offset of the system frequency and voltage, and the higher its priority is.

[0070] In the embodiment of the present application, the priority coefficient is calculated in the form of a product, which can simultaneously consider the influence of both frequency and voltage dimensions. The smaller the priority coefficient, the smaller the disturbance of the control resource to the system and the better the control effect.

[0071] Specifically, the calculation steps of the priority coefficient are as follows: Standardize the frequency offset sensitivity to eliminate the dimension effect. Standardize the voltage variance control sensitivity. Calculate the product of the two sensitivities. Sort the control resources according to the product result.

[0072] In an optional embodiment, the determination of priority may also include other considerations, such as: controlling the response time of resources; controlling costs;

[0073] Impact of equipment life; Difficulty of system recovery; These factors can be introduced into the priority calculation in the form of weight coefficients.

[0074] It should be noted that the determination of priority requires comprehensive consideration of the following aspects: technical characteristics of control resources, including response speed, regulation accuracy and reliability, etc. Actual requirements for system operation, including load characteristics, grid structure and operation mode, etc. Economic factors, including control cost, maintenance cost and replacement cost, etc.

[0075] In the embodiment of the present application, the configuration of the multi-resource coordinated control strategy is based on the following principles: Layered and hierarchical principle: control resources are divided into a fast control layer and a slow control layer according to their response characteristics. Progressive control principle: control measures are gradually increased from light to heavy. Coordination and cooperation principle: different control resources should maintain a good coordination relationship.

[0076] Specifically, the steps of configuring the control strategy include: determining the amount of imbalance that the system can bear. Calculating the total control amount required. Allocating the control amount according to the priority order. Setting the triggering conditions and unlocking conditions of the control measures.

[0077] In an optional embodiment, the control strategy can be configured in an adaptive manner to dynamically adjust the control parameters according to the system operation status. For example: adjusting the control quantity allocation ratio according to the load level, adjusting the removal sequence according to the output of new energy, and adjusting the response strategy according to the energy storage status.

[0078] It should be noted that the configuration of multi-resource coordinated control strategy is a systematic project, and the following points need to be noted: The control strategy must meet the system stability requirements. The control logic must be simple and reliable, and easy to implement in practice. Sufficient margin must be reserved to deal with system disturbances. A complete monitoring and evaluation mechanism must be established.

[0079] Furthermore, this embodiment also provides a dual-index-based power grid multi-resource coordination control system, including an information acquisition module, a scenario generation module, a calculation module, and a coordination control module. The system adopts a distributed architecture, and each module is connected through a high-speed communication network. The system has good scalability, and new control resources and functional modules can be added as needed.

[0080] In summary, the present invention realizes scientific evaluation and optimal configuration of different control resources by establishing an evaluation system based on frequency and voltage dual indicators. The control effect is verified by using a hybrid simulation method to ensure the reliability of the scheme. The security and stability level of the system is significantly improved through the optimal configuration of multi-resource coordinated control strategies.

[0081] Furthermore, this embodiment also provides a dual-index-based power grid multi-resource coordinated control system, comprising:

[0082] Information acquisition module, which obtains typical grid modes, stabilization control systems and measures after DC blocking faults, and controllable information of various control resources;

[0083] The scenario generation module simulates the DC blocking fault based on the typical power grid mode and derives the steady-state overvoltage scenario after taking various control resource stabilization measures;

[0084] The calculation module monitors the system frequency and bus voltage information, and calculates the frequency deviation sensitivity based on the transient frequency deviation area and the voltage variance control sensitivity based on the voltage variance after the stabilization measures of each control resource;

[0085] The coordinated control module multiplies the frequency offset sensitivity and the voltage variance control sensitivity to obtain a priority coefficient, determines the priority of different control resources based on the priority coefficients sorted from small to large, and configures a multi-resource coordinated control strategy in the multi-resource coordinated control system.

[0086] In summary, by acquiring typical grid operation modes in different seasons (summer / winter), different time periods (peak / mid-load), and different power generation methods (conventional / new energy), we have achieved coverage of all grid conditions, making subsequent control strategies more adaptable and universal. This multi-dimensional data acquisition method avoids the problems of single data collection and incomplete coverage in traditional methods.

[0087] By establishing a complete stabilization and control system including coordination methods, parameter configuration, various removal methods and emergency control methods, a multi-level and multi-means prevention and control mechanism has been formed. This hierarchical control strategy not only improves the reliability of the system, but also reduces the risk of equipment loss, overcoming the shortcomings of the traditional single control method that has a large impact on the system.

[0088] By adopting the electromagnetic transient-motor transient hybrid simulation method, the unified simulation of the system's fast electromagnetic process and slow electromechanical process is achieved. This innovative simulation method significantly improves the accuracy and reliability of the simulation results and solves the problem that the traditional single simulation method cannot fully reflect the dynamic characteristics of the system.

[0089] By introducing two indicators, frequency offset sensitivity and voltage variance control sensitivity, a comprehensive evaluation system that takes both frequency and voltage into consideration is established. This dual-indicator evaluation method can more comprehensively reflect the effect of control measures and avoid the one-sidedness of the traditional single-indicator evaluation method.

[0090] By multiplying the frequency offset sensitivity and the voltage variance control sensitivity to obtain the priority coefficient, a quantitative evaluation of the importance of different control resources is achieved. This dual-index-based priority determination method makes the scheduling of control resources more scientific and reasonable, overcoming the subjectivity of traditional empirical scheduling methods.

[0091] By establishing a priority-based progressive control strategy, the optimal configuration and coordination of control resources is achieved. This adaptive control strategy configuration method significantly improves the control efficiency of the system and avoids the poor adaptability of the traditional fixed strategy configuration method.

[0092] Example 2

[0093] Reference Figure 1 - Figure 2 , which is the second embodiment of the present invention, and this embodiment provides a dual-index-based power grid multi-resource coordinated control method. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0094] Step S100 describes the acquisition of typical grid modes, existing stabilization measures after DC lockout faults, and controllable information of various control resources. Under the typical mode of a certain grid, the existing stabilization measures after a DC lockout fault include increasing DC power, cutting off new energy feeders, emergency control of energy storage, and cutting off conventional units. The total amount of stabilization measures is 3000MW. The information of various control resources is obtained, including the controllable amount, control time, and controllable state of various stabilization measures.

[0095] Step 200 describes the steady-state overvoltage scenario derived from the stabilization measures of various control resources after simulating a DC interlock fault based on a typical power grid mode. Based on a typical power grid mode, after simulating a DC interlock fault, stabilization measures such as increasing DC power, cutting off new energy feeders, emergency control of energy storage, and cutting off conventional units are taken. The amount of stabilization measures is 3000MW, and the simulation scenario results of steady-state overvoltage derived from different stabilization measures are obtained.

[0096] Step 300 describes monitoring the system frequency and bus voltage information, and calculating the frequency deviation sensitivity based on the transient frequency deviation area and the voltage variance control sensitivity based on the voltage variance after each control resource stabilization measure.

[0097] S100: Obtain typical grid modes, existing DC blocking fault stabilization measures, and controllable information of various control resources.

[0098] Further, in S100, the typical modes of the power grid include but are not limited to annual square, summer peak, summer mid-load, summer mid-new energy generation, winter peak, winter mid-load, and winter mid-new energy generation typical modes.

[0099] Furthermore, in S100, the stabilization and control measures after the existing DC locking fault include but are not limited to the coordination method of the stabilization and control system, the parameter configuration of the stabilization and control system, the method of cutting off the new energy feeder, the method of cutting off the conventional unit, the energy storage emergency control method, and the method of increasing the DC power.

[0100] Furthermore, in S100, the controllable information of each control resource includes but is not limited to controllable quantity, control type, control time, and controllable state.

[0101] S200: Based on the typical power grid simulation method, steady-state overvoltage scenarios are derived after simulating the stabilization measures of various control resources for DC blocking faults.

[0102] S300: Monitor system frequency and bus voltage information. Calculate frequency deviation sensitivity based on transient frequency deviation area and voltage variance control sensitivity based on voltage variance after stabilization measures of each control resource.

[0103] Further, in S300, the transient frequency offset area is calculated as follows:

[0104]

[0105] Among them, f(t) is the system frequency after each control resource takes stabilization measures, g(t) is the reference system frequency, t 0 is the start time of stabilization measures, t i It is the frequency voltage recovery stabilization time.

[0106] Further, in S300, the frequency offset sensitivity is calculated as follows:

[0107]

[0108] Wherein, ΔP is the power variation under each control resource stabilization measure, which is 3000MW in the embodiment of the present invention.

[0109] In this embodiment, the frequency offset sensitivity of each control resource stabilization measure is calculated as:

[0110]

[0111] Further, in S300, the voltage variance is calculated as follows:

[0112]

[0113] Where j is the jth key bus to be monitored, u j ' is the bus voltage after each control resource takes stabilizing measures, u j is the bus voltage before taking stabilization measures, u 0 is the voltage safety threshold, and n is the number of off-line buses.

[0114] Further, in S300, the voltage variance control sensitivity is calculated as follows:

[0115]

[0116] In this embodiment, the voltage variance control sensitivity of each control resource stabilization measure is calculated as:

[0117]

[0118] S400: Coordinate different control resource priorities according to sensitivity calculation, and configure a multi-resource coordinated control strategy in the multi-resource coordinated control system.

[0119] Further, in S400, the method of coordinating priorities of different control resources according to sensitivity calculation is to multiply the frequency offset sensitivity by the voltage variance control sensitivity to obtain a priority coefficient J, and sort the priority coefficient J from small to large to obtain the priorities of different control resources.

[0120]

[0121] Further, in S400, the multi-resource coordinated control strategy is configured in the multi-resource coordinated control system as follows: the multi-resource coordinated control system determines the total amount of active surplus after DC locking and the imbalance that the system can bear by collecting data such as system frequency, voltage and power. The difference between the two is the total amount of stabilization measures taken by the multi-resource coordinated control system, which is allocated according to the priority of each control resource. After the controllable amount of controllable resources with high priority is configured, the controllable amount of controllable resources with low priority is allocated until the total amount of stabilization measures is configured.

[0122] Step S400 describes configuring a multi-resource coordinated control strategy in a multi-resource coordinated control system by coordinating different control resource priorities according to sensitivity calculation.

[0123] In this embodiment, the priority coefficients of different control resources are calculated as follows:

[0124]

[0125] The priority of each control resource stabilization measure is as follows: energy storage power emergency control > DC power emergency support > new energy feeder switching > conventional unit switching.

[0126] In the above step S400, the multi-resource coordinated control strategy is configured in the multi-resource coordinated control system as follows: the multi-resource coordinated control system determines the total amount of active surplus after DC locking and the imbalance that the system can bear by collecting data such as system frequency, voltage and power. The difference between the two is the total amount of stabilization measures taken by the multi-resource coordinated control system, which is allocated according to the priority of each control resource. After the controllable amount of controllable resources with high priority is configured, the controllable amount of controllable resources with low priority is allocated until the total amount of stabilization measures is configured.

[0127] Example 3

[0128] This embodiment also provides a computer device, which is applicable to a method for coordinated control of multiple resources in a power grid based on dual indicators, and includes a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement a forced oscillation detection and positioning method for a distribution network as proposed in the above embodiment.

[0129] This embodiment further provides a storage medium on which a computer program is stored. When the program is executed by a processor, a forced oscillation detection and positioning method for a distribution network is implemented as proposed in the above embodiment.

[0130] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0131] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0132] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0133] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0134] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0135] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for coordinated control of multiple resources in a power grid based on dual indicators, characterized in that: Including obtaining typical grid modes, stabilization control systems and measures after DC blocking faults, and controllable information of various control resources; Based on the typical power grid simulation, the steady-state overvoltage scenario is derived after simulating the stabilization measures of various control resources for DC blocking failures; Monitor system frequency and bus voltage information, calculate frequency deviation sensitivity based on transient frequency deviation area and voltage variance control sensitivity based on voltage variance after stabilization measures of each control resource; The frequency offset sensitivity is multiplied by the voltage variance control sensitivity to obtain the priority coefficient. The priorities of different control resources are determined by sorting them from small to large based on the priority coefficients, and a multi-resource coordinated control strategy is configured in the multi-resource coordinated control system.

2. The method for coordinated control of multiple resources in a power grid based on dual indicators according to claim 1, characterized in that: The typical power grid modes include: summer peak, summer mid-load, summer mid-load new energy generation, winter peak, winter mid-load, winter mid-load new energy generation typical modes.

3. The method for coordinated control of multiple resources in a power grid based on dual indicators according to claim 2, characterized in that: The stabilization control system and measures after the DC locking fault include: a coordination method of the stabilization control system, a parameter configuration of the stabilization control system, a method of cutting off new energy feeders, a method of cutting off conventional units, a method of energy storage emergency control, and a method of increasing DC power.

4. The method for coordinated control of multiple resources in a power grid based on dual indicators according to claim 3, characterized in that: The controllable information of the control resource includes: controllable quantity, control type, control time, and controllable state.

5. The method for coordinated control of multiple resources in a power grid based on dual indicators according to claim 4, characterized in that: The configuration steps of the multi-resource coordinated control strategy include: determining the total amount of active surplus after DC locking and the amount of imbalance that the system can bear by collecting system frequency, voltage and power data; calculating the total amount of stabilization measures taken by the multi-resource coordinated control system; allocating them according to the priority of each control resource, first configuring the controllable amount of controllable resources with high priority, and then allocating the controllable amount of controllable resources with low priority, until the total amount of stabilization measures is configured.

6. The method for coordinated control of multiple resources in a power grid based on dual indicators according to claim 5, characterized in that: The control resources include: energy storage, DC power, new energy feeders and conventional units; according to the order of priority coefficients from small to large, the priority of the control resources is: energy storage power emergency control, DC power emergency support, new energy feeder switching, and conventional unit switching.

7. The method for coordinated control of multiple resources in a power grid based on dual indicators according to claim 6, characterized in that: The smaller the priority coefficient is, the more the control resource eliminates the offset of the system frequency and voltage, and the higher its priority is.

8. A dual-index-based multi-resource coordinated control system for a power grid, based on the dual-index-based multi-resource coordinated control method for a power grid according to any one of claims 1 to 7, characterized in that: It also includes an information acquisition module to obtain typical grid modes, stabilization control systems and measures after DC blocking faults, and controllable information of various control resources; The scenario generation module simulates the DC blocking fault based on the typical power grid mode and derives the steady-state overvoltage scenario after taking various control resource stabilization measures; The calculation module monitors the system frequency and bus voltage information, and calculates the frequency deviation sensitivity based on the transient frequency deviation area and the voltage variance control sensitivity based on the voltage variance after the stabilization measures of each control resource; The coordinated control module multiplies the frequency offset sensitivity and the voltage variance control sensitivity to obtain a priority coefficient, determines the priority of different control resources based on the priority coefficients sorted from small to large, and configures a multi-resource coordinated control strategy in the multi-resource coordinated control system.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the dual-index-based power grid multi-resource coordinated control method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the dual-index-based power grid multi-resource coordinated control method described in any one of claims 1 to 7 are implemented.

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