Adaptive control method and device for power grid overload, equipment and storage medium

Abstract

Embodiments of the present application disclose a kind of power grid overload adaptive control method and device, equipment and storage medium, method includes: after monitoring that target transmission line occurs overload, determine the overload of target transmission line and the power flow sensitivity of multiple controllable resources in power grid;Based on power flow sensitivity, multiple controllable resources are sorted, and control priority queue is formed;According to control priority queue, select the target control strategy that can meet the overload, by at least one controllable resource;Generation and issue control instruction to execute target control strategy, adjust the operating state of at least one controllable resource contained in target control strategy.By the above mode, multiple controllable resources can be sorted based on the power flow sensitivity of controllable resource, and control priority queue is formed;According to control priority queue, target control strategy is selected, so that overload response is more flexible and effective, and multiple types of resource adaptive control method for responding to line overload is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of overload control, and in particular to a power grid overload adaptive control method and device, equipment and a storage medium. BACKGROUND

[0002] Under the background of building a new power system mainly based on new energy, the large-scale grid connection of renewable energy and the continuous growth of power load make the operation mode and topology structure of the power grid increasingly complex and changeable. When a disturbance such as line fault occurs in the power grid, the power flow will shift, which is likely to cause power over-limit of the key transmission line, i.e. line overload. If the overload state cannot be handled in time and effectively, it may lead to protection device tripping, and even trigger a chain reaction, seriously threatening the safe and stable operation of the power grid.

[0003] At present, the stability control strategy for line overload considers the influence of different control resources, such as generator set removal, load removal, DC power adjustment, etc. on line power flow. However, the existing technology has obvious defects. These strategies are fixed and difficult to quickly adapt to the real-time operation mode and topology structure changes of the power grid. When the actual working condition does not match the preset scene, the control effect may be greatly reduced. It cannot meet the higher requirements of new power system control. SUMMARY

[0004] The main purpose of the present application is to provide a power grid overload adaptive control method and device, equipment and a storage medium, which can solve the problem of poor adaptability of the line overload control strategy in the prior art.

[0005] To achieve the above-mentioned purpose, the first aspect of the present application provides a power grid overload adaptive control method, which comprises:

[0006] After monitoring that the target transmission line is overloaded, determining the overload amount of the target transmission line and the power flow sensitivity of a plurality of controllable resources in the power grid;

[0007] Based on the power flow sensitivity, the plurality of controllable resources are sorted to form a control priority queue;

[0008] According to the control priority queue, a target control strategy composed of at least one controllable resource capable of meeting the overload amount is selected;

[0009] Generate and issue a control instruction to execute the target control strategy, and adjust the operating state of the at least one controllable resource contained in the target control strategy.

[0010] To achieve the above-mentioned purpose, the second aspect of the present application provides a power grid overload adaptive control device, which comprises:

[0011] The data monitoring module is configured to determine an overload amount of the target power transmission line and a power flow sensitivity of a plurality of controllable resources in the power grid after monitoring that the target power transmission line is overloaded.

[0012] The resource sequencing module is configured to sequence the plurality of controllable resources based on the power flow sensitivity, and form a control priority queue.

[0013] The strategy determining module is configured to select a target control strategy constituted by at least one controllable resource that can satisfy the overload amount according to the control priority queue.

[0014] The overload processing module is configured to generate and issue a control instruction to execute the target control strategy, and adjust an operating state of the at least one controllable resource included in the target control strategy.

[0015] To achieve the above object, the third aspect of the present application provides a computer readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the steps of the method according to the first aspect.

[0016] To achieve the above object, the fourth aspect of the present application provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of the method according to the first aspect.

[0017] The present application has the following advantages:

[0018] The present application provides a self-adaptive control method for power grid overload, which comprises the following steps: determining an overload amount of a target power transmission line and a power flow sensitivity of a plurality of controllable resources in the power grid after monitoring that the target power transmission line is overloaded; sequencing the plurality of controllable resources based on the power flow sensitivity, and forming a control priority queue; selecting a target control strategy constituted by at least one controllable resource that can satisfy the overload amount according to the control priority queue; and generating and issuing a control instruction to execute the target control strategy, and adjusting an operating state of the at least one controllable resource included in the target control strategy. In this way, the plurality of controllable resources can be sequenced based on the power flow sensitivity, and a control priority queue is formed; then, a target control strategy constituted by at least one controllable resource that can satisfy the overload amount is selected according to the control priority queue, so that the overload response is more flexible and effective, and a multi-type resource self-adaptive control method for responding to line overload is realized. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative labor.

[0020] Wherein:

[0021] Figure 1 A flow chart of an adaptive control method for power grid overload in an embodiment of the present application;

[0022] Figure 2 A power grid system structure diagram in an embodiment of the present application;

[0023] Figure 3 A structural block diagram of an adaptive control device for power grid overload in an embodiment of the present application;

[0024] Figure 4 A structural block diagram of a computer device in an embodiment of the present application. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments only constitute some embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0026] It should be noted that the drawings Figure 1 and Figure 2 , Figure 1 A flow chart of an adaptive control method for power grid overload in an embodiment of the present application, Figure 2 A power grid system structure diagram in an embodiment of the present application, as shown in the embodiment of Figure 1 The control flow of the embodiment is carried out in a power grid environment containing various power generation resources and power transmission facilities. As shown in Figure 2 , the power grid system includes various power sources such as nuclear power, thermal power, hydroelectric power, and new energy, as well as conventional DC channels and flexible DC channels and other power transmission facilities, which together constitute controllable resources (hereinafter referred to as controllable resources). Electric energy is transmitted to loads in various places through a complex power transmission network. In this embodiment, it is assumed that a certain key line (for example, the line between station D and station E) in the power transmission network is the target monitoring and control object of the method.

[0027] Please refer to Figure 1 , Figure 1For a flowchart of an adaptive control method for power grid overload in an embodiment of the present application, the method can be applied to a terminal and a server. The terminal can be a desktop terminal or a mobile terminal, and the mobile terminal can be at least one of a mobile phone, a tablet computer, a notebook computer, etc. The server can be implemented by an independent server or a server cluster composed of multiple servers. The present embodiment is exemplified by a terminal, as shown in Figure 1 The method includes the following steps:

[0028] 101. After monitoring that the target transmission line is overloaded, determine the overload amount of the target transmission line and the power flow sensitivity of various controllable resources in the power grid;

[0029] It can be understood that overload monitoring and confirmation need to be performed first. By connecting with real-time data sources such as a power grid monitoring and data acquisition system or a wide-area measurement system, the operating parameters of the target transmission line are continuously acquired, such as the current, voltage, active power, and reactive power of each phase of the line. The acquisition frequency can be to acquire these data at a high refresh rate (e.g., several tens of times per second).

[0030] Further, the received real-time data is analyzed to determine whether the preset overload starting condition is met. As a preferred implementation, in order to ensure the necessity and accuracy of the control action and avoid overreaction to transient disturbances or measurement errors, the overload starting condition is set as a set of strict logical criteria. Specifically, when all the following conditions are met at the same time, it is determined that an overload event requiring control is started: 1) the current of at least two phases of the target transmission line is overloaded, i.e., the current value exceeds the long-term allowed rated value; 2) the duration t of the single-line current Iwj of the line is not less than a preset time Tset1 (e.g., Tset1 can be set to 500 milliseconds), which aims to filter out transient current surges; 3) the amplitude of the single-line current Iwj of the line is not less than a preset current value Iset1 (e.g., 120% of the rated current), to confirm the severity of the overload; 4) the active power Pwj transmitted by the line is not less than a preset power value Pset1, to exclude abnormal working conditions with high current but low power.

[0031] In a feasible implementation, the method further includes: monitoring the operating parameters of the target transmission line in real time, and when it is monitored that the operating parameters of the target transmission line meet the preset overload starting condition, step 101 is performed.

[0032] The preset overload starting condition includes: at least two-phase currents of the target power transmission line are overloaded, and the single-line current Iwj has a duration t that is not less than a preset time threshold Tset1, the single-line current Iwj is not less than a preset current threshold Iset1, and line power (such as active power Pwj transmitted by the line) is not less than a preset power threshold Pset1.

[0033] Therefore, in order to further improve the reliability of control, a false operation prevention judgment process can also be performed before the overload event is formally confirmed. For example, if the event that causes the overload is due to the fault trip of a parallel line of the target line, the power of the fault line before the trip can be checked. If the line meets the low-power criterion (that is, the power transmitted before the trip is very small), it can mean that this power flow transfer is part of the normal reconstruction of the system or has little impact, and the emergency control can not be started. Only when it is confirmed that the overload event is caused by a real and impactful fault and does not meet the false operation prevention criterion, the overload event is formally confirmed, and the execution step 101 and the subsequent control steps are triggered.

[0034] After the overload event is confirmed, the process enters step 101 to calculate the drop amount and obtain the resource attributes. At this time, the primary task is to determine the total overload drop amount Dp (referred to as overload amount) required to eliminate this overload. This value quantifies the overload power that needs to be reduced by control means. One specific calculation method is to compare the real-time power Pi of all related overload lines with their set safety limit (setting value) Pseti, and to accumulate the excess part, that is: Dp = Σ(Pi - Pseti). In this embodiment, it is assumed that the total overload drop amount Dp required is 905 megawatts after calculation.

[0035] In a feasible implementation manner, the controllable resources include at least one of the following: a drop flexible DC channel, an increase conventional DC, a cut-off new energy unit, a cut-off hydropower unit, a cut-off nuclear power unit, a cut-off thermal power unit, and a cut-off load.

[0036] At the same time, in order to determine the multi-dimensional control attributes of the various controllable resources in the power grid, at least including the power flow sensitivity, a preset resource attribute library can be accessed. The resource attribute library is a database or a collection of configuration files, in which the multi-dimensional control attributes of all resources available for overload control in the power grid are pre-stored or updated in real time. These controllable resources are diverse, and in this embodiment, at least include: the transmission power of the drop flexible DC channel, the transmission power of the increase conventional DC channel, the cut-off of part of the new energy unit, the cut-off of part of the hydropower unit, the cut-off of part of the nuclear power unit, the cut-off of part of the thermal power unit, and the cut-off of part of the user load. For each type of controllable resource, the resource attribute library records at least the following three key attributes:

[0037] Power flow sensitivity Ki: This attribute characterizes the impact of each unit of control on the power flow of the target overloaded line. It is a quantitative indicator of control effectiveness, typically obtained through offline simulation calculations or online identification. For example, a sensitivity of 0.114 for a thermal power unit means that for every 100MW reduction in the unit's output, the power of the target line can be reduced by 11.4MW.

[0038] Control Cost Index Ci: This attribute characterizes the economic cost or negative impact on the system resulting from performing the control action. It is a normalized dimensionless index, typically ranging from 0 to 1, with higher values ​​indicating greater cost or impact. For example, adjusting DC power has a relatively low marginal cost, so its cost index can be set to 0.2; while cutting off critical loads can cause significant socioeconomic losses, so its cost index can be set to the highest value of 1.0; cutting off nuclear power units involves complex safety procedures and high start-up and shutdown costs, resulting in a very high cost index, which can be set to 0.9.

[0039] Response speed index Ri: This attribute characterizes the time required from the issuance of a control command to the actual implementation of the control action and the achievement of the expected effect. For ease of calculation, this attribute is also normalized to an index between 0 and 1, with higher values ​​representing faster response speeds. For example, flexible DC and conventional DC systems based on power electronic devices have extremely fast response speeds, completing power adjustments within sub-seconds, and their response speed index can be set to 0.9; load shedding through circuit breakers also has a fast response speed, within seconds, and the index can be set to 0.8; while adjusting the output of thermal power units or nuclear power units requires regulating turbine valves, a slower response process, possibly within minutes, and therefore their response speed indices are lower, for example, 0.4 and 0.3 respectively.

[0040] In this embodiment, it is assumed that the attribute data of the seven controllable resources obtained are as shown in Table 1 below:

[0041] Table 1: Attribute Data of Controllable Resources

[0042]

[0043] 102. Based on the power flow sensitivity, sort the various controllable resources to form a control priority queue;

[0044] Furthermore, based on the power flow sensitivity, the various controllable resources are sorted to form a control priority queue, and according to the control priority queue, a target control strategy consisting of at least one controllable resource that can meet the overload is selected, thereby realizing the selection of the best target strategy according to the actual working conditions.

[0045] In one feasible implementation, the resource attributes are multidimensional, and an optimal control strategy can be selected using multidimensional data. Therefore, the method also includes steps A01, A02, and A03:

[0046] A01. After detecting an overload on the target transmission line, obtain the control cost index and response speed index of various controllable resources in the power grid.

[0047] A02. The comprehensive priority index of the controllable resource is obtained by weighting the power flow sensitivity, control cost index and response speed index.

[0048] A03. Based on the comprehensive priority index, sort the various controllable resources to form a control priority queue.

[0049] In one feasible implementation, the formula for calculating the comprehensive priority index is:

[0050] CPI i = w 1* K i - w 2* C i + w 3* R i ;

[0051] in, CPI i Controllable resources i The overall priority index, K i , C i , R i Controllable resources i The power flow sensitivity, control cost index, and response speed index, w 1. w 2. w 3 represents the weighting coefficient.

[0052] In another implementation, the Comprehensive Priority Index (CPI) can be calculated. The goal here is to find a control scheme with optimal overall performance, rather than simply selecting the resource with the highest sensitivity. To this end, this module employs a comprehensive evaluation model to calculate a comprehensive priority index for each controllable resource. In the equilibrium scenario of this embodiment, the decision-maker's emphasis on effectiveness, economy, and speed is relatively balanced; therefore, a set of balanced weighting coefficients can be set, for example: sensitivity weight w1 = 0.5, cost weight w2 = 0.3, and speed weight w3 = 0.2. The formula for calculating the comprehensive priority index is: It should be noted that the cost term Ci is preceded by a negative sign, indicating that the higher the cost, the lower the priority.

[0053] Correspondingly, the calculation is performed for each resource:

[0054] CPI1 of the descending HVDC = 0.5 * 0.223 - 0.3 * 0.2 + 0.2 * 0.9 = 0.1115 - 0.06 + 0.18 = 0.2315;

[0055] CPI2 of the ascending HVDC = 0.5 * 0.265 - 0.3 * 0.2 + 0.2 * 0.9 = 0.1325 - 0.06 + 0.18 = 0.2525;

[0056] CPI3 of cutting new energy = 0.5 * 0.133 - 0.3 * 0.4 + 0.2 * 0.7 = 0.0665 - 0.12 + 0.14 = 0.0865;

[0057] CPI4 of cutting hydropower = 0.5 * 0.144 - 0.3 * 0.5 + 0.2 * 0.6 = 0.072 - 0.15 + 0.12 = 0.042;

[0058] CPI5 of cutting nuclear power = 0.5 * 0.265 - 0.3 * 0.9 + 0.2 * 0.3 = 0.1325 - 0.27 + 0.06 = -0.0775;

[0059] CPI6 of cutting thermal power = 0.5 * 0.114 - 0.3 * 0.7 + 0.2 * 0.4 = 0.057 - 0.21 + 0.08 = -0.073;

[0060] CPI7 of cutting load = 0.5 * 0.139 - 0.3 * 1.0 + 0.2 * 0.8 = 0.0695 - 0.3 + 0.16 = -0.0705.

[0061] From the calculation results, although the power flow sensitivity of cutting nuclear power K5 is the highest at 0.265, the same as that of the ascending HVDC K2, in the comprehensive evaluation, due to its extremely high cost index and lower speed index, its comprehensive priority index CPI5 is negative, ranking very low. On the contrary, the two DC regulation measures have the highest comprehensive priority due to their low cost and high speed.

[0062] Next, the control strategies are sorted and optimized. According to the calculated CPI values, all controllable resources are sorted in descending order, thereby forming a dynamic control priority queue. In this embodiment, the queue is: boost conventional DC (0.2525), drop HVDC (0.2315), cut new energy (0.0865), cut hydroelectricity (0.042), cut load (-0.0705), cut thermal power (-0.073), and cut nuclear power (-0.0775).

[0063] 103. According to the control priority queue, a target control strategy composed of at least one controllable resource that can meet the overload amount is selected.

[0064] In a feasible implementation, when only the power flow sensitivity is used as the comprehensive priority index, the control priority queue is obtained by sorting the controllable resources in descending order based on the power flow sensitivity, and then the target control strategy composed of at least one controllable resource that can meet the overload amount is selected according to the control priority queue, including: starting from the highest priority in the control priority queue, at least one controllable resource is selected to form a controllable resource combination; the target drop amount that can be provided by the controllable resource combination is calculated; the first controllable resource combination that can meet the target drop amount not less than the overload amount is selected as the target control strategy.

[0065] In a feasible implementation, when the comprehensive priority index is calculated based on multi-dimensional attribute data, the control priority queue is obtained by sorting the controllable resources in descending order based on the comprehensive priority index, and then the target control strategy is constructed from high to low according to the queue in step 103. The specific logic is as follows:

[0066] 1. The resource with the highest priority in the queue, "boost conventional DC", is selected. Assuming that its maximum adjustable amount is 200 MW, the maximum overload drop amount it can provide is Dpmax_2 = 200 MW * 0.265 = 53 MW. Since 53 MW < 905 MW, this single resource is not enough to solve the problem.

[0067] 2. The resource is included in the strategy combination, and the next resource in the queue, "drop HVDC", is selected. Assuming that its maximum adjustable amount is 1000 MW, the maximum overload drop amount it can provide is Dpmax_1 = 1000 MW * 0.223 = 223 MW. The two resources are combined, and the total drop capacity is 53 + 223 = 276 MW, which is still less than the required 905 MW.

[0068] 3. Continue to include "back down HVDC" into the strategy, and select the next resource "cut new energy". Assume its maximum cuttable amount is 800MW, which can provide back down amount 800MW * 0.133 = 106.4MW. The combined total back down capacity is 276 + 106.4 = 382.4MW, which is still insufficient.

[0069] 4. The process iterates, and accumulates all or part of the adjustable amount of subsequent resources one by one, until the combined back down amount provided by the selected controllable resource combination first meets or exceeds the required total overload back down amount Dp. For example, the final strategy that may be selected is "boost all conventional DC + back down all HVDC + cut all new energy + cut all hydroelectric + cut part of load", and its combined back down amount is exactly greater than or equal to 905MW.

[0070] 104. Generate and issue control instructions to execute the target control strategy, adjust the operating state of the at least one controllable resource contained in the target control strategy.

[0071] Finally, in step 104, the instructions are issued and executed. The final determined target control strategy (i.e. the selected resources and their specific control amounts) is passed to step 104, which converts the abstract strategy into specific, executable device control instructions. For example, the following instructions may be generated: - "send an instruction to the control system of conventional DC channel 205: boost power by 200MW." - "send an instruction to the control system of flexible DC channel 206: back down power by 1000MW." - "send an instruction to the power control system of the new energy station: cut the wind turbines numbered X, Y, Z in the station, a total of 800MW." - and so on.

[0072] These instructions are accurately sent to the execution mechanism of each resource through the communication network, such as the DC converter station, the automatic generation control system of the power plant, the load control terminal, etc. Among them, there are timing differences in the issuance and execution of these instructions. The instruction to the HVDC station will get a sub-second fast response, while the instruction to the automatic generation control system of the power plant may be a minute-level response. Through such multi-dimensional optimization decision-making, the embodiment can effectively relieve the line overload while taking into account the speed and cost, avoiding the high economic cost and slow response of measures such as cutting nuclear power, which pursues high sensitivity alone, thereby achieving more balanced and efficient control effect.

[0073] Please continue to refer to Figure 2 , Figure 2The shown power grid includes conventional DC, flexible DC channel, nuclear power, thermal power, hydroelectric power, new energy and related 500 kV station. In the summer mode, if the 500 kV line DE double line fault occurs when the 500 kV line AB line is under maintenance, it will cause the AB line to overload by 35%, at which time the AB line power is 3491MW, and the current value is 4243A; the power setting value of AB line is 2586MW, and the current setting value is 3143A. In the summer AB line single line maintenance mode, the AB line power is 2201MW, the DE double line power is 3847MW, the flexible DC channel power is 2645MW (full power 3000MW), the conventional DC power is 4800MW (full power 5000MW), the new energy output is 1000MW, the hydroelectric power output is 1040MW, the nuclear power output is 6500MW, the thermal power output is 800MW, and the 500 kV B station load is 704MW.

[0074] For the sensitivity, if the DE double line fault occurs in a certain operation mode, the AB line power is 4200MW without control measures; considering the control resources of reducing the flexible DC channel, increasing the conventional DC, cutting the new energy, cutting the hydroelectric power, cutting the nuclear power, cutting the thermal power, and cutting the load, the control amount is 1000MW, 200MW, 1000MW, 700MW, 2172MW, 800MW, and 315MW, respectively, and the AB line power is 3977MW, 4147MW, 4067MW, 4099MW, 3623MW, 4086MW, and 4156MW, respectively.

[0075] (1) In the summer 500 kV line AB line maintenance mode, the 500 kV line DE double line fault occurs, the AB line current value is 4243A>3143A, and the power is 3491MW>2586MW, which meets the starting condition.

[0076] (2) From Figure 2 It can be seen that the line DE and the line AB belong to the same parallel section, and the line DE double line fault meets the low power criterion.

[0077] (3) Calculate the overload amount Dp:

[0078]

[0079] (4) Calculate the sensitivity of each control resource (i.e. the sensitivity of the power flow):

[0080] The sensitivity of the flexible DC channel K1:

[0081]

[0082] Where P is the target line power after parallel double line fault without measures, P1 is the target line power after parallel double line fault with the flexible DC channel measure, P1 is a drop HVDC channel control amount.

[0083] Conventional DC sensitivity K2 is improved:

[0084]

[0085] P is the target line power after parallel double line fault without measures, P2 is the target line power after parallel double line fault after taking the conventional DC improvement measures, P2 is the conventional DC improvement control amount.

[0086] New energy cutting sensitivity K3:

[0087]

[0088] P is the target line power after parallel double line fault without measures, P3 is the target line power after parallel double line fault after taking the new energy cutting measures, P3 is the new energy cutting control amount.

[0089] Hydropower cutting sensitivity K4:

[0090]

[0091] P is the target line power after parallel double line fault without measures, P4 is the target line power after parallel double line fault after taking the hydropower cutting measures, P4 is the hydropower cutting control amount.

[0092] Nuclear power cutting sensitivity K5:

[0093]

[0094] P is the target line power after parallel double line fault without measures, P5 is the target line power after parallel double line fault after taking the nuclear power cutting measures, P5 is the nuclear power cutting control amount.

[0095] Thermal power cutting sensitivity K6:

[0096]

[0097] P is the target line power after parallel double line fault without measures, P6 is the target line power after parallel double line fault after taking the thermal power cutting measures, P6 is the thermal power cutting control amount.

[0098] Load cutting sensitivity K7:

[0099]

[0100] Wherein, P is the target line power after parallel double line fault without measures, P7 is the target line power after parallel double line fault with load shedding measures, P7: load shedding control amount.

[0101] (5) The sensitivity of each control resource is sorted in descending order:

[0102]

[0103] Among the control resources, the nuclear power sensitivity is the highest.

[0104] (6) Calculate the control resource Dpmax_i

[0105] Since the nuclear power sensitivity K5 is the highest, the nuclear power output is 6500MW at this time, and the nuclear power is preferentially considered to be cut off.

[0106]

[0107] (7) Determine the relationship between Dpmax_i and Dp

[0108]

[0109] The requirement is met, at this time the control resource is automatically matched, and the nuclear power is selected to be cut off.

[0110] The application provides a kind of adaptive control method of power grid overload, the method comprises: after monitoring that target transmission line occurs overload, determine the overload amount of the target transmission line and the power flow sensitivity of multiple controllable resources in power grid;Based on the power flow sensitivity, the multiple controllable resources are sorted to form a control priority queue;According to the control priority queue, a target control strategy formed by at least one controllable resource that can meet the overload amount is selected;Generate and issue control instructions to execute the target control strategy, adjust the operating state of the at least one controllable resource contained in the target control strategy.By the above-mentioned mode, the multiple controllable resources can be sorted based on the power flow sensitivity of the controllable resources to form a control priority queue;Then according to the control priority queue, a target control strategy formed by at least one controllable resource that can meet the overload amount is selected, so that the overload response is more flexible and effective, and a multi-type resource adaptive control method for responding to line overload is realized.

[0111] In another possible implementation mode, a control method in an emergency scenario where power grid faces serious fault, safety margin is extremely low, and overload may trigger chain reaction.In this case, the primary goal of control is speed, i.e.to eliminate the threat of overload in the fastest time, and economic cost is a secondary consideration.

[0112] It can be understood that the overall process of the embodiment is basically the same as that of the foregoing embodiment, and the key difference lies in the weight coefficients used when calculating the comprehensive priority index CPI. In order to embody the decision principle of "speed first", the comprehensive optimization decision will use a set of different and dynamically adjustable weight coefficients. For example, the weight w3 of the response speed index is greatly increased, and the weight w2 of the cost index is reduced. In the embodiment, the weight coefficients are set as: sensitivity weight w1 = 0.4, cost weight w2 = 0.1, and speed weight w3 = 0.5.

[0113] Using this set of new weight coefficients, the comprehensive optimization decision module 140 recalculates the comprehensive priority index CPI of each controllable resource: At this time:

[0114] The CPI1 of the descending flexible DC is 0.4 * 0.223 - 0.1 * 0.2 + 0.5 * 0.9 = 0.0892 - 0.02 + 0.45 = 0.5192;

[0115] The CPI2 of the ascending conventional DC is 0.4 * 0.265 - 0.1 * 0.2 + 0.5 * 0.9 = 0.106 - 0.02 + 0.45 = 0.536;

[0116] The CPI3 of the cutting new energy is 0.4 * 0.133 - 0.1 * 0.4 + 0.5 * 0.7 = 0.0532 - 0.04 + 0.35 = 0.3632;

[0117] The CPI7 of the cutting load is 0.4 * 0.139 - 0.1 * 1.0 + 0.5 * 0.8 = 0.0556 - 0.1 + 0.4 = 0.3556;

[0118] The CPI5 of the cutting nuclear power is 0.4 * 0.265 - 0.1 * 0.9 + 0.5 * 0.3 = 0.106 - 0.09 + 0.15 = 0.166;

[0119] Compared with the results of the previous embodiment, significant changes can be observed. The CPI values of resources with high response speed index Ri are greatly improved. The CPI values of the conventional direct current and the descending flexible direct current (Ri = 0.9) jump from about 0.25 to more than 0.5, ranking the top two. The CPI values of the load shedding (Ri = 0.8) and the new energy cutting (Ri = 0.7) also change from negative or low positive to significant positive, and their rankings in the priority queue are greatly advanced. Although the ranking of the slow response resource such as the nuclear power cutting is increased due to the decrease of the cost weight, the CPI value of the slow response resource is still much lower than that of the fast response resource.

[0120] Correspondingly, the new control priority queue will be: the conventional direct current (0.536), the descending flexible direct current (0.5192), the new energy cutting (0.3632), the load shedding (0.3556), and so on. When the comprehensive optimization decision selects the control strategy according to the queue, it will preferentially combine the resources with the fastest response to meet the 905 MW overload descending amount requirement.

[0121] Finally, the control strategy issued will mainly consist of the fast action of the direct current regulation, the load shedding, the new energy cutting, and the like. This ensures that the overload power is reduced to the safe range in the shortest time, effectively prevents the expansion and evolution of the fault, and maximizes the safety and stability of the power grid. The ability to dynamically adjust the weight coefficient according to the emergency degree of the overload is the core embodiment of the adaptability of the application.

[0122] In another possible implementation manner, the embodiment shows another scenario opposite to the previous embodiment "embodiment of the decision principle of'speed priority'": when the power grid operation mode is stable, the line overload degree is slight, and the system has sufficient safety margin to handle, the primary goal of the control decision is changed to economy, that is, while ensuring the problem is solved, the economic loss caused by the control action is as low as possible.

[0123] Similar to the previous embodiment, the flow and system architecture of the embodiment remain unchanged, and the core change is still the dynamic adjustment of the weight coefficient. In order to realize the decision of "cost priority", the comprehensive optimization decision adopts another set of weight coefficients, in which the weight w2 of the cost index is significantly increased, and the weight w3 of the response speed index is correspondingly decreased. In the embodiment, the weight coefficients can be set as: the sensitivity weight w1 = 0.4, the cost weight w2 = 0.5, and the speed weight w3 = 0.1.

[0124] Using the new set of weight coefficients, the comprehensive optimization decision module 140 again recalculates the comprehensive priority index CPI of each controllable resource: At this time:

[0125] CPI1 = 0.4 * 0.223 - 0.5 * 0.2 + 0.1 * 0.9 = 0.0892 - 0.1 + 0.09 = 0.0792.

[0126] CPI2 = 0.4 * 0.265 - 0.5 * 0.2 + 0.1 * 0.9 = 0.106 - 0.1 + 0.09 = 0.096.

[0127] CPI3 = 0.4 * 0.133 - 0.5 * 0.4 + 0.1 * 0.7 = 0.0532 - 0.2 + 0.07 = -0.0768.

[0128] CPI7 = 0.4 * 0.139 - 0.5 * 1.0 + 0.1 * 0.8 = 0.0556 - 0.5 + 0.08 = -0.3644.

[0129] CPI5 = 0.4 * 0.265 - 0.5 * 0.9 + 0.1 * 0.3 = 0.106 - 0.45 + 0.03 = -0.314.

[0130] From the calculation results, it can be seen that due to the significant increase in the cost weight w2, the resources with high cost index Ci are greatly "punished". For example, the cut load with the highest cost (Ci = 1.0) has a very large negative CPI value, and its ranking has dropped sharply. Similarly, the priority of cutting nuclear power and cutting thermal power and other high-cost measures has become very low. On the contrary, the low-cost DC regulation measure (Ci = 0.2) has a lower CPI value than the implementation of the "speed priority" decision principle, but its relative advantage is still obvious, and it continues to occupy the top of the priority queue.

[0131] The control priority queue formed will clearly reflect the economic consideration, and the front will be occupied by low-cost control resources. When making strategy selection, the system will tend to prefer to use these low-cost resources, even if their sensitivity or response speed is not the best. For example, the system may choose to adjust the DC power and adjust the output of some generating units with low cost, and try to avoid or delay the use of the high-cost measure of cutting load.

[0132] The finally issued control strategy will be the resource combination with the lowest economic cost under the premise of meeting the overload reduction amount. In this way, the application realizes the fine and economic operation of the power grid, reduces unnecessary operating losses for the power company, and reduces the impact on social electricity use on the basis of ensuring safety.

[0133] In another possible implementation, the embodiment provides a variant of optimizing the control decision logic, which introduces the idea of hierarchical control to further improve the orderliness and reliability of the control process, especially suitable for complex power grids with a variety of controllable resources with large differences in response speed.

[0134] In the embodiment, the core idea of the method is to perform a preliminary hierarchical division of all controllable resources before step 103. The division is mainly based on the physical response characteristics of the resources, especially the response speed. Specifically, the resources in the resource attribute library can be divided into at least two response levels. For example, it can be divided into three levels:

[0135] The first layer (sub-second fast response layer): This layer contains the fastest resources, usually controllable resources based on power electronic devices. In this example, it includes the reduction flexible DC channel and the promotion conventional DC channel.

[0136] The second layer (second-level medium-speed response layer): This layer contains resources with medium response speed, such as control achieved through switching action. In this example, it includes load shedding and new energy cutting (assuming that the new energy station has fast power cut-off capability).

[0137] The third layer (minute-level slow response layer): This layer contains the slowest resources, usually involving the mechanical regulation process of large synchronous generators. In this example, it includes cutting hydropower, cutting thermal power, and cutting nuclear power.

[0138] After confirming the overload and calculating the required total overload reduction amount Dp (for example, still 905 MW), the control flow is no longer a unified CPI calculation and sorting of all resources, but a hierarchical decision-making according to the hierarchical order, and the specific process is as follows:

[0139] First, the control system can only make decisions within the first layer of resources. The comprehensive optimization decision calculates the maximum total reduction amount Dpmax_layer1 that all resources in the first layer (reduction flexible DC and promotion conventional DC) can provide. According to the data of the first embodiment, Dpmax_layer1 = 223 MW + 53 MW = 276 MW.

[0140] The system determines whether the first layer resources are sufficient to solve the problem. In this example, Dpmax_layer1 (276 MW) < Dp (905 MW), indicating that the first layer resources alone cannot completely eliminate the overload.

[0141] Therefore, the system decides to fully engage all first layer resources in control, while calculating the remaining overload reduction amount to be solved, Dp_rem = Dp - Dpmax_layer1 = 905 - 276 = 629 MW.

[0142] Next, the system starts the decision-making process for the second layer resources. The comprehensive optimization decision focuses on the second layer resources (shedding load, shedding new energy), with the remaining overload reduction amount Dp_rem (629 MW) as the new control target. The module performs a complete CPI calculation (using any of the weightings in the embodiments), ranking and strategy selection process within the second layer resources to find the optimal resource combination that can meet the 629 MW reduction amount.

[0143] Suppose that, within the second layer, after CPI ranking and selection, it is determined that all new energy (providing 106.4 MW reduction) and part of the load (providing the remaining 629 - 106.4 = 522.6 MW reduction) need to be shed to meet the requirement.

[0144] Since a strategy has been found in the second layer to meet the remaining reduction amount, the entire decision-making process ends, and the system will not start the third layer resources.

[0145] Finally, the instructions are generated and issued, and the target control strategy generated will be the combination of all first layer resources and the selected second layer resources, i.e., "boost all conventional DC + reduce all flexible DC + shed all new energy + shed the corresponding 522.6 MW reduction amount of load".

[0146] As an optional implementation, if the first layer resources are sufficient to meet the overload reduction amount (for example, if Dp is only 200 MW), the decision-making process will only be conducted within the first layer. The system will select one or two optimal combinations between reducing flexible DC and boosting conventional DC to provide 200 MW of reduction according to the CPI calculation results, without touching the second layer and third layer resources at all.

[0147] The layered control logic ensures the orderliness of the control action, that is, the resources with the smallest system disturbance and the fastest response are always used first, and only when the fast resources are exhausted, the resources with greater impact and slower speed are started step by step. This not only improves the efficiency of control and the ability to respond to emergencies, but also enhances the stability and predictability of the entire control system, avoiding the false start of slow and expensive control measures when fast and cheap solutions are available. That is, the control system always interacts with fast actuators such as flexible direct current stations first, and only when necessary, it interacts with slow actuators such as power plant automatic generation control systems.

[0148] Compared with the prior art, the present application has the following beneficial effects: 1. scientificity and global optimality of decision-making: the present application unifies the effectiveness (sensitivity), economy (cost) and timeliness (speed) of control in an optimization framework by constructing a comprehensive priority index, overcoming the one-sidedness of the prior art which only relies on single or limited dimension indicators, and enabling global optimal decisions to be made according to different scene requirements. 2. flexibility and adaptability of control: by dynamically adjusting the weight coefficients in the comprehensive priority index formula, the method can flexibly adapt to different power grid operating states and overload emergency levels. For example, in the case of serious overload, the weight of response speed can be increased to prefer fast control resources; in the case of general overload, the weight of economy can be increased to select control schemes with lower cost. 3. improving power grid safety and economic benefits: as a result of being able to select resources that respond faster, the present application shortens the overload disposal time, reduces the risk of fault expansion, and improves the safety of the power grid. At the same time, by taking into account the control cost, unnecessary high-cost control measures are avoided, and the overall economic benefits of power grid operation are improved. 4. intelligent generation of control strategies: the entire process from monitoring, calculation, optimization decision-making to instruction issuance is automatically executed, improving the automation and intelligence level of fault response.

[0149] Please refer to Figure 3 , Figure 3 The structure block diagram of an adaptive control device for power grid overload in an embodiment of the present application is shown in Figure 3 The device comprises:

[0150] The data monitoring module 301 is configured to determine the overload amount of the target power transmission line and the power flow sensitivity of a plurality of controllable resources in the power grid after monitoring that the target power transmission line has an overload;

[0151] The resource sorting module 302 is configured to sort the plurality of controllable resources based on the power flow sensitivity, and form a control priority queue;

[0152] The strategy determination module 303 is configured to select a target control strategy composed of at least one controllable resource that can meet the overload amount according to the control priority queue.

[0153] The overload processing module 304 is configured to generate and issue a control instruction to execute the target control strategy, and adjust the operating state of the at least one controllable resource included in the target control strategy.

[0154] It should be noted that, Figure 3 The functions of the various modules of the device are similar to those of the device Figure 1 The content of each step in the method is similar to that of the method Figure 1 The content of each step in the method is similar to that of the method

[0155] The present application provides an adaptive control device for power grid overload, the device comprises: a data monitoring module: for determining the overload amount of the target power transmission line and the power flow sensitivity of a plurality of controllable resources in the power grid after monitoring that the target power transmission line is overloaded; a resource sorting module: for sorting the plurality of controllable resources based on the power flow sensitivity, forming a control priority queue; a strategy determination module: for selecting a target control strategy composed of at least one controllable resource that can meet the overload amount according to the control priority queue; an overload processing module: for generating and issuing a control instruction to execute the target control strategy, and adjusting the operating state of the at least one controllable resource included in the target control strategy. Through the above manner, the plurality of controllable resources can be sorted based on the power flow sensitivity of the controllable resources, and a control priority queue is formed. Then, a target control strategy composed of at least one controllable resource that can meet the overload amount is selected according to the control priority queue, so that the overload response is more flexible and effective, and a multi-type resource adaptive control method for responding to line overload is realized.

[0156] Figure 4 An internal structure diagram of a computer device in an embodiment is shown. The computer device can be a terminal or a server. As shown in the figure, Figure 4 The computer device comprises a processor, a memory and a network interface connected through a system bus. The memory comprises a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system, and can also store a computer program, which, when executed by the processor, can enable the processor to implement the above method. The internal memory can also store a computer program, which, when executed by the processor, can enable the processor to execute the above method. Those skilled in the art can understand that, Figure 4 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can comprise more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0157] In one embodiment, a computer device is provided, including a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform actions such as... Figure 1 The steps of the method shown.

[0158] In one embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, causes the processor to perform the following actions: Figure 1 The steps of the method shown.

[0159] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0160] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0161] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method of adaptive control of power grid overload, characterized in that, The method comprises: After monitoring that the target power transmission line is overloaded, determining an overload amount of the target power transmission line and a power flow sensitivity of a plurality of controllable resources in a power grid; Based on the power flow sensitivity, the plurality of controllable resources are sorted to form a control priority queue; According to the control priority queue, a target control strategy composed of at least one controllable resource capable of meeting the overload amount is selected; A control instruction is generated and issued to execute the target control strategy to adjust the operating state of the at least one controllable resource contained in the target control strategy; The controllable resources include at least one of a back-down flexible DC channel, a boost conventional DC, a new energy unit cut-off, a hydropower unit cut-off, a nuclear power unit cut-off, a thermal power unit cut-off, and a load cut-off; The power flow sensitivity K1 of the back-down flexible DC channel comprises the following mathematical expression: Wherein, P is the target line power after parallel double-line fault without measures, P1 is the target line power after parallel double-line fault by taking the measure of back-down flexible direct current channel, P1 is the back-down flexible direct current channel control quantity; The power flow sensitivity K2 of the boost conventional DC comprises the following mathematical expression: Wherein, P is the target line power after parallel double-line fault without measures, P2 is the target line power after parallel double-line fault by taking the conventional DC measures, P2 is the conventional DC control amount. The power flow sensitivity K3 of the new energy unit cut-off comprises the following mathematical expression: Wherein, P is the target line power after parallel double-line fault without measures, P3 is the target line power after parallel double-line fault with new energy measures removed, P3 is the new energy control amount removed; The power flow sensitivity K4 of the hydropower unit cut-off comprises the following mathematical expression: Wherein, P is the target line power after parallel double-line fault without measures, P4 is the target line power after parallel double-line fault with the measure of cutting off the hydroelectric generator, P4 is the control amount of cutting off the hydroelectric generator. The power flow sensitivity K5 of the nuclear power unit cut-off comprises the following mathematical expression: Wherein, P is the target line power after parallel double-line fault without measures, P5 is the target line power after parallel double-line fault with the measure of removing nuclear power unit, P5 is the control amount of removing nuclear power unit; The power flow sensitivity K6 of the thermal power unit cut-off comprises the following mathematical expression: Wherein, P is the target line power after parallel double-line fault without measures, P6 is the target line power after parallel double-line fault with the measure of cutting off thermal power units, P6 is the control amount of cutting off thermal power units; The power flow sensitivity K7 of the load cut-off comprises the following mathematical expression: Wherein, P is the target line power after parallel double-line fault without measures, P7 is the target line power after parallel double-line fault with load shedding measures, P7: load shedding control amount; The method further comprises: After monitoring that the target power transmission line is overloaded, obtaining a control cost index and a response speed index of a plurality of controllable resources in a power grid; The power flow sensitivity, the control cost index, and the response speed index are used for weighted calculation to obtain a comprehensive priority index of the controllable resources; Based on the comprehensive priority index, the plurality of controllable resources are sorted to form a control priority queue; The calculation formula of the comprehensive priority index is: CPI i = w 1* K i - w 2* C i + w 3* R i ； wherein, CPI i is a controllable resource i , K i , C i , R i is a controllable resource i , w 1, w 2, w 3 is a weight coefficient.

2. The method of claim 1, wherein, The control priority queue is obtained by descending order sorting of the controllable resources based on the power flow sensitivity, and the target control strategy composed of at least one controllable resource capable of meeting the overload amount is selected according to the control priority queue, which comprises: Starting from the highest priority of the control priority queue, at least one controllable resource is selected to form a controllable resource combination; The target back-down amount that can be provided by the controllable resource combination is calculated; The first controllable resource combination capable of meeting the target back-down amount not less than the overload amount is selected as the target control strategy.

3. The method of claim 1, wherein, The method further comprises: Real-time monitoring of the operating parameters of the target power transmission line, when the operating parameters of the target power transmission line meet the preset overload starting condition, the step of determining the overload amount of the target power transmission line and the power flow sensitivity of the plurality of controllable resources in the power grid is executed.

4. The method of claim 3, wherein, The preset overload starting condition comprises that the at least two-phase current of the target power transmission line is overloaded, the single-line current duration is not less than a preset time threshold, the single-line current is not less than a preset current threshold, and the line power is not less than a preset power threshold.

5. An adaptive control device for grid overload, characterized in that, The device comprises: The data monitoring module is configured to determine an overload amount of the target power transmission line and a power flow sensitivity of a plurality of controllable resources in the power grid after monitoring that the target power transmission line is overloaded. The resource sequencing module is configured to sequence the plurality of controllable resources based on the power flow sensitivity to form a control priority queue. The strategy determining module is configured to select a target control strategy constituted by at least one controllable resource that can satisfy the overload amount according to the control priority queue. The overload processing module is configured to generate and issue a control instruction to execute the target control strategy to adjust an operating state of the at least one controllable resource included in the target control strategy. The controllable resources include at least one of a back-down flexible DC channel, a boost conventional DC, a new energy unit, a hydroelectric unit, a nuclear power unit, a thermal power unit, and a load. The power flow sensitivity K1 of the back-down flexible DC channel includes the following mathematical expression: Wherein, P is the target line power after parallel double-line fault without measures, P1 is the target line power after parallel double-line fault by taking the measure of back-down flexible direct current channel, P1 is the back-down flexible direct current channel control quantity; The power flow sensitivity K2 of the boost conventional DC includes the following mathematical expression: Wherein, P is the target line power after parallel double-line fault without measures, P2 is the target line power after parallel double-line fault by taking the conventional DC measures, P2 is the conventional DC control amount. The power flow sensitivity K3 of the new energy unit includes the following mathematical expression: Wherein, P is the target line power after parallel double-line fault without measures, P3 is the target line power after parallel double-line fault with new energy measures removed, P3 is the new energy control amount removed; The power flow sensitivity K4 of the hydroelectric unit includes the following mathematical expression: Wherein, P is the target line power after parallel double-line fault without measures, P4 is the target line power after parallel double-line fault with the measure of cutting off the hydroelectric generator, P4 is the control amount of cutting off the hydroelectric generator. The power flow sensitivity K5 of the nuclear power unit includes the following mathematical expression: Wherein, P is the target line power after parallel double-line fault without measures, P5 is the target line power after parallel double-line fault with the measure of removing nuclear power unit, P5 is the control amount of removing nuclear power unit; The power flow sensitivity K6 of the thermal power unit includes the following mathematical expression: Wherein, P is the target line power after parallel double-line fault without measures, P6 is the target line power after parallel double-line fault with the measure of cutting off thermal power units, P6 is the control amount of cutting off thermal power units; The power flow sensitivity K7 of the load includes the following mathematical expression: Wherein, P is the target line power after parallel double-line fault without measures, P7 is the target line power after parallel double-line fault with load shedding measures, P7: load shedding control amount; The device further includes a control cost index and a response speed index of the plurality of controllable resources in the power grid after monitoring that the target power transmission line is overloaded. The comprehensive priority index of the controllable resources is calculated by weighting the power flow sensitivity, the control cost index, and the response speed index. The computer program is executed by the processor to perform the steps of the method according to any one of claims 1 to 4. i = w 1* K i - w 2* C i + w 3* R i ； Wherein, The memory stores the computer program, which is executed by the processor to perform the steps of the method according to any one of claims 1 to 4. i is the comprehensive priority index of controllable resources i , K i , C i , R i is the tidal flow sensitivity, control cost index and response speed index of controllable resources i , w 1, w 2, w 3 is the weight coefficient.

6. A computer readable storage medium storing a computer program, characterized in that, ​ 7.A computer device, comprising a memory and a processor, and characterized in that, ​

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