Centralized frequency correction preposition control decision-making method and system considering short-time inertia fluctuation

Abstract

The invention relates to the technical field of electric power, and discloses a centralized frequency correction pre-control decision method and system considering short-time inertia fluctuation, and the method comprises the steps: defining a time period, estimating the upper and lower limits of inertia of a power grid in the time period in the future, generating an operation mode, and obtaining a frequency disturbed track under a preset fault; defining at least two groups of frequency constraint binary tables meeting the frequency drop depth and the recovery speed, and judging whether the frequency constraint binary tables are met or not; and refreshing the frequency correction pre-control strategy of the current time period, and issuing the frequency correction pre-control strategy to a frequency correction pre-control system for execution. According to the method, unbalanced energy compensation under the frequency safety boundary constraint can be quantified, and before the low-frequency load shedding action, frequency adjustment energy is injected into the system in a centralized control mode by adopting low-cost control resources such as energy storage, and the frequency response is improved.

Description

Technical Field

[0001] The present invention relates to the field of power technology, and in particular, to a centralized frequency correction pre-control decision method and system considering short-term inertia fluctuation. Background Art

[0002] With the continuous access of power electronic power sources such as new energy and energy storage, the power system dominated by synchronous machines is gradually transformed into a "dual-high" power system. The form of system inertia, frequency regulation ability and frequency response characteristics have undergone profound changes, and the problem of grid frequency safety and stability under large disturbances has become more prominent.

[0003] At present, as a guaranteed measure to prevent frequency collapse in engineering, under-frequency load shedding has played a huge role in long-term actual production. However, under-frequency load shedding has the disadvantage of high control cost. In the context of the continuous access of new energy in China, the possibility of under-frequency load shedding action under large-power unbalanced disturbances is increasing. In the actual power grid, the scenarios of insufficient inertia and insufficient primary frequency regulation ability may exist simultaneously. If enough frequency regulation energy can be injected into the system before the transient frequency response trajectory exceeds the limit to reduce the deficit energy, the risk of under-frequency load shedding and cascading failures can be greatly avoided. In terms of the decision-making and implementation methods of control strategies, the traditional control methods based on offline analysis and pre-decision may have a mismatch risk in a high-proportion new energy power grid. Online security analysis and decision-making is the development direction of fault defense in future new power systems. According to the real-time state of the current power grid, it analyzes and calculates the possible contingency faults periodically (usually several minutes), and refreshes the control strategy in a rolling manner, so as to improve the strategy adaptability.

[0004] In view of the problem that under the background of insufficient inertia and primary frequency regulation ability in a high-proportion new energy system, large-power unbalanced faults may lead to the over-limit of the lowest frequency point and slow frequency recovery, a centralized frequency correction pre-control decision method and system considering short-term inertia fluctuation are proposed. Summary of the Invention

[0005] The purpose of this part is to outline some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this part, as well as in the abstract and title of the present application, to avoid obscuring the purpose of this part, the abstract and the title, and such simplifications or omissions shall not be used to limit the scope of the present invention.

[0006] In view of the above existing problems, the present invention is proposed. Therefore, the present invention provides a centralized frequency correction pre-control decision method considering short-term inertia fluctuation to solve the above problems.

[0007] To solve the above technical problems, the present invention provides the following technical solutions:

[0008] In a first aspect, the present invention provides a centralized frequency correction pre-control decision-making method considering short-term inertia fluctuations, including:

[0009] Define a time period, obtain the real-time grid operation mode data at the initial moment of the time period, estimate the upper and lower limits of the grid inertia within the future time period of this time period, generate an operation mode according to the estimation result, and obtain the frequency disturbed trajectory under a preset fault;

[0010] Based on the operation mode and the frequency disturbed trajectory, define at least two groups of frequency constraint binary tables that meet the frequency drop depth and recovery speed, and judge whether the frequency constraint binary tables are satisfied;

[0011] Based on the judgment result, refresh the frequency correction pre-control strategy of the current time period and send it to the frequency correction pre-control system for execution.

[0012] As a preferred solution of the centralized frequency correction pre-control decision-making method considering short-term inertia fluctuations according to the present invention, wherein: defining at least two groups of frequency constraint binary tables that meet the frequency drop depth and recovery speed, and judging whether the frequency constraint binary tables are satisfied includes:

[0013] The frequency constraint binary table includes a maximum frequency deviation constraint binary table [f MFD , 0] and a quasi-steady-state frequency deviation constraint binary table [f QSFD , t QSFD1 ;

[0014] If the actual frequencies all meet the maximum frequency deviation constraint binary table and the quasi-steady-state frequency deviation constraint binary table, do not update the frequency correction pre-control strategy and use it as the frequency correction pre-control strategy for the current time period; otherwise, update and generate the frequency correction pre-control strategy for the current time period according to the frequency constraint judgment;

[0015] Among them, if the actual frequency only does not meet the maximum frequency deviation constraint binary table, inject energy ΔE MFD ;

[0016] If the actual frequency only does not meet the quasi-steady-state frequency deviation constraint binary table, inject energy ΔE QSFD ;

[0017] If the actual frequencies do not meet the maximum frequency deviation constraint binary table and the quasi-steady-state frequency deviation constraint binary table, compare the energy ΔE MFD with the energy ΔE QSFD and make different decisions according to the comparison result.

[0018] As a preferred embodiment of the centralized frequency correction pre-control decision method considering short-term inertia fluctuations according to the present invention, wherein: the injected energy ΔE MFD comprises:

[0019] The injected energy ΔE MFD is not less than the integral of the initial unbalanced power during this time period, and needs to be converted into three elements: the action time, the duration, and the output power before implementation;

[0020] wherein, the action time is not later than the moment when the frequency response curve is lower than f MFD , the duration is not less than the time when the frequency response curve crosses the constraint of [f MFD ,0], and the output power is not less than the initial unbalanced power.

[0021] As a preferred embodiment of the centralized frequency correction pre-control decision method considering short-term inertia fluctuations according to the present invention, wherein: the injected energy ΔE QSFD comprises:

[0022] The injected energy ΔE QSFD is not less than the numerical difference between the upper limit of the system inertia multiplied by the square of the ratio of the quasi-steady state frequency to the rated frequency and the lower limit of the system inertia multiplied by the square of the ratio of the frequency at time t QSFD1 to the rated frequency;

[0023] The action time of the frequency correction pre-control is t QSFD1 minus the duration, the duration value is the injected energy ΔE QSFD under the unit output power, and the output power takes the minimum value between the maximum output power of the frequency correction pre-control resource and the average value of the injected energy ΔE QSFD during the time period t QSFD1- t 2 t 2 , where t

[0024] As a preferred embodiment of the centralized frequency correction pre-control decision method considering short-term inertia fluctuations according to the present invention, wherein: comparing the magnitudes of the energies ΔE MFD and ΔE QSFD , and making different decisions according to the comparison results includes:

[0025] When ΔE MFD ≥ΔE QSFD , before the frequency reaches the lowest point, inject the energy ΔE MFD ;

[0026] When ΔE MFD <ΔE QSFD , the intervention time of the frequency correction pre-control is not later than the moment when the frequency response curve is lower than ΔEMFD At this moment, the duration value is the injection energy ΔE under the unit output power QSFD , and the output power is not less than the initial unbalanced power and the ΔE within the time period t QSFD1 -t MFD1 within QSFD the maximum value of the average value, and at the same time, the output power does not exceed the maximum output power limit of the frequency correction pre-control resource

[0027] As a preferred solution of the centralized frequency correction pre-control decision-making method considering short-term inertia fluctuations according to the present invention, wherein: refreshing the frequency correction pre-control strategy of the current time period includes three elements: the latest trigger time, the duration, and the minimum output power

[0028] In a second aspect, the present invention provides a centralized frequency correction pre-control decision-making system considering short-term inertia fluctuations, including: an acquisition module, configured to define a time period, acquire real-time grid operation mode data at the initial moment of the time period, estimate the upper and lower limits of the grid inertia within the future time period of the time period, generate an operation mode according to the estimation result, and acquire the frequency disturbance trajectory under a preset fault

[0029] A judgment module, configured to define at least two groups of frequency constraint binary tables that satisfy the frequency drop depth and recovery speed based on the operation mode and the frequency disturbance trajectory, and judge whether the frequency constraint binary tables are satisfied

[0030] An execution module, configured to refresh the frequency correction pre-control strategy of the current time period based on the judgment result and send it to the frequency correction pre-control system for execution

[0031] As a preferred solution of the centralized frequency correction pre-control decision-making system considering short-term inertia fluctuations according to the present invention, wherein: the judgment module includes

[0032] The frequency constraint binary table includes a maximum frequency deviation constraint binary table [f MFD , 0] and a quasi-steady state frequency deviation constraint binary table [f QSFD , t QSFD1 ;

[0033] If the actual frequency satisfies both the maximum frequency deviation constraint binary table and the quasi-steady state frequency deviation constraint binary table, the frequency correction pre-control strategy is not updated and used as the frequency correction pre-control strategy of the current time period; otherwise, according to the frequency constraint judgment, the frequency correction pre-control strategy of the current time period is updated and generated

[0034] Among them, if the actual frequency only does not satisfy the maximum frequency deviation constraint binary table, before the frequency reaches the lowest point, inject energy ΔE MFD ;

[0035] If the actual frequency only does not satisfy the quasi-steady-state frequency deviation constraint binary table, before the frequency exceeds the limit, inject energy ΔE QSFD ;

[0036] If the actual frequencies do not satisfy both the maximum frequency deviation constraint binary table and the quasi-steady-state frequency deviation constraint binary table, compare the energy ΔE MFD with the energy ΔE QSFD and make different decisions according to the comparison result.

[0037] In a third aspect, the present invention provides an electronic device, including:

[0038] a memory and a processor;

[0039] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the centralized frequency correction pre-control decision method considering short-term inertia fluctuation are implemented.

[0040] In a fourth aspect, the present invention provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are executed by a processor, the steps of the centralized frequency correction pre-control decision method considering short-term inertia fluctuation are implemented.

[0041] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention can quantify the unbalanced energy compensation under the frequency safety boundary constraint. Before the under-frequency load shedding action, through a centralized control method, low-cost control resources such as energy storage are used to inject frequency regulation energy into the system to improve the frequency response. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0043] Figure 1 is a schematic diagram of the overall process of the centralized frequency correction pre-control decision method considering short-term inertia fluctuation according to an embodiment of the present invention;

[0044] Figure 2 is a schematic diagram of the online centralized frequency correction pre-control decision of the centralized frequency correction pre-control decision method considering short-term inertia fluctuation according to an embodiment of the present invention;

[0045] Figure 3Topological diagram of a 39 - node system for simulating the centralized frequency correction pre - control decision - making method considering short - term inertia fluctuation according to an embodiment of the present invention;

[0046] Figure 4 Schematic diagram of the topology of a certain actual power grid system for the centralized frequency correction pre - control decision - making method considering short - term inertia fluctuation according to an embodiment of the present invention;

[0047] Figure 5 Schematic diagram of the system control architecture of the frequency correction pre - control for the centralized frequency correction pre - control decision - making method considering short - term inertia fluctuation according to an embodiment of the present invention;

[0048] Figure 6 Schematic diagram of the frequency response curve under the maximum frequency deviation constraint for the centralized frequency correction pre - control decision - making method considering short - term inertia fluctuation according to an embodiment of the present invention;

[0049] Figure 7 Schematic diagram of the frequency response curve under the quasi - steady - state frequency deviation constraint for the centralized frequency correction pre - control decision - making method considering short - term inertia fluctuation according to an embodiment of the present invention;

[0050] Figure 8 Schematic diagram of the frequency response curve under the maximum frequency deviation constraint considering three - phase short - circuit of the actual power grid for the centralized frequency correction pre - control decision - making method considering short - term inertia fluctuation according to an embodiment of the present invention;

[0051] Figure 9 Schematic diagram of the frequency response curve under the quasi - steady - state frequency deviation constraint considering bipolar blocking fault of the actual power grid for the centralized frequency correction pre - control decision - making method considering short - term inertia fluctuation according to an embodiment of the present invention;

[0052] Figure 10 Schematic diagram of the frequency response curve under the constraints of maximum frequency deviation and quasi - steady - state frequency deviation considering the actual power grid for the centralized frequency correction pre - control decision - making method considering short - term inertia fluctuation according to an embodiment of the present invention;

[0053] Figure 11 Schematic diagram of the frequency response curve under different inertia levels for the centralized frequency correction pre - control decision - making method considering short - term inertia fluctuation according to an embodiment of the present invention;

[0054] Figure 12 Schematic diagram of the frequency response curve under different triggering strategies for the centralized frequency correction pre - control decision - making method considering short - term inertia fluctuation according to an embodiment of the present invention. Detailed implementation manners

[0055] To make the above objects, features, and advantages of the present invention more apparent and understandable, the following provides a detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings of the specification. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0056] In the following description, many specific details are set forth to facilitate a thorough understanding of the present invention. However, the present invention may be implemented in other ways different from those described herein. Those skilled in the art can make similar generalizations without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0057] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation manner of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that excludes other embodiments.

[0058] The present invention is described in detail in conjunction with schematic diagrams. When detailing the embodiments of the present invention, for ease of explanation, the cross-sectional views showing the device structure will be enlarged locally out of the general proportion, and the schematic diagrams are only examples and should not limit the scope of protection of the present invention herein. In addition, in actual production, three-dimensional spatial dimensions including length, width, and depth should be included.

[0059] At the same time, in the description of the present invention, it should be noted that the orientation or positional relationship indicated by terms such as "upper, lower, inner, and outer" is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present invention. In addition, the terms "first, second, or third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0060] Unless otherwise clearly defined and limited in the present invention, the terms "mounted, connected, and coupled" shall be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may also be a mechanical connection, an electrical connection, or a direct connection, or may be indirectly connected through an intermediate medium, or may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0061] Embodiment 1

[0062] Refer to Figures 1 - 2, which is an embodiment of the present invention, provides a centralized frequency correction pre-control decision method considering short-term inertia fluctuation. As Figure 1 shown, it includes:

[0063] S101, define a time period, obtain the real-time operation mode data of the power grid at the initial moment of the time period, estimate the upper and lower limits of the power grid inertia within the future time period of this time period, generate an operation mode according to the estimation result, and obtain the frequency disturbed trajectory under a preset fault;

[0064] S102, based on the operation mode and the frequency disturbed trajectory, define at least two groups of frequency constraint binary tables that meet the frequency drop depth and recovery speed, and judge whether the frequency constraint binary tables are met;

[0065] S103, based on the judgment result, refresh the frequency correction pre-control strategy of the current time period and send it to the frequency correction pre-control system for execution.

[0066] It should be noted that as Figure 2 in step 1, it is the preliminary energy estimation. By predicting the upper and lower limits of the system inertia fluctuation within the decision period, the pre-frequency correction energy required to meet the above binary table is preliminarily and roughly estimated online respectively, and the larger of the two is taken as the preliminary decision value. Figure 2 The secondary verification decision described in step 2 in

[0067] In step S101, specifically, a time period T is defined, where T ≤ 5 min. The upper and lower limits of the grid inertia within this future time period are estimated, and a conservative operation mode is generated based on the estimation results. Among them, for grid inertia estimation, in a traditional grid dominated by synchronous machines, it can be considered that the inertia changes little during this period. Therefore, mainly the upper and lower limits of the inertial energy fluctuations of new energy and loads are estimated. It is estimated that at a certain moment within a future period of time, both new energy and loads fluctuate upward, and it is considered that all newly added new energy converters have a relatively high virtual inertia time constant, and all newly added loads are high-inertia asynchronous motors. At the same time, the synchronous machines reduce their output to maintain power balance and the rotational inertia of the synchronous machines unchanged. The upper limit of the system inertia is the sum of the original inertia of the system, the inertial energy of the newly added inertial loads, and the virtual inertia of new energy. It is estimated that at a certain moment within a future period of time, both new energy and loads fluctuate downward, and it is considered that all reduced new energy converters have a relatively high virtual inertia time constant, and all reduced loads are high-inertia asynchronous motors. At the same time, the synchronous machines reduce their spinning reserves and increase their output to maintain power balance and the rotational inertia of the synchronous machines unchanged. The upper limit of the system inertia is the difference between the original inertia of the system, the inertial energy of the reduced inertial loads, and the virtual inertia of new energy.

[0068] Furthermore, the conservative operation mode is an operation mode considering the case where conditions are as adverse as possible. After the proposed control strategy meets the requirements of this operation mode, it can meet as many operation modes as possible. Then, the results of the power flow calculation are used as the initial values to numerically solve the dynamic differential and static algebraic equations.

[0069] Among them, the preset faults refer to the fault types that may occur and are required for the research before conducting power system analysis, such as three-phase AC short-circuit faults, DC bipolar blocking faults, etc. The frequency disturbed trajectory is the different change trajectories of the frequency of the power system after being subjected to different disturbances.

[0070] In a preferred implementation, at least two groups of binary frequency constraint tables that meet the frequency drop depth and recovery speed are defined. The judgment of whether the binary frequency constraint tables are met includes:

[0071] The binary frequency constraint tables include the maximum frequency deviation constraint binary table [f MFD , 0] and the quasi-steady state frequency deviation constraint binary table [f QSFD , t QSFD1 ;

[0072] If the actual frequencies all satisfy the maximum frequency deviation constraint binary table and the quasi-steady state frequency deviation constraint binary table, the pre-control strategy for frequency correction is not updated, and the strategy of the previous decision cycle is still maintained and used as the pre-control strategy for frequency correction in the current time cycle; otherwise, according to the frequency constraint judgment, the pre-control strategy for frequency correction in the current time cycle is updated and generated.

[0073] Among them, if the actual frequency only does not satisfy the maximum frequency deviation constraint binary table, before the frequency reaches the lowest point, inject energy ΔE MFD ;

[0074] If the actual frequency only does not satisfy the quasi-steady state frequency deviation constraint binary table, before the frequency exceeds the limit, inject energy ΔE QSFD ;

[0075] If the actual frequencies do not satisfy the maximum frequency deviation constraint binary table and the quasi-steady state frequency deviation constraint binary table, compare the energy ΔE MFD with the energy ΔE QSFD , and make different decisions according to the comparison results.

[0076] In a preferred embodiment, the injected energy ΔE MFD includes:

[0077] The injected energy ΔE MFD is not less than the integral of the initial unbalanced power during this time period, and needs to be converted into three elements: the action moment, the duration, and the output power before implementation;

[0078] Among them, the action moment is not later than the moment when the frequency response curve is lower than f MFD , the duration is not less than the time when the frequency response curve crosses the [f MFD ,0] constraint, and the output power is not less than the initial unbalanced power.

[0079] Specifically, the expression of the injected energy ΔE MFD is:

[0080]

[0081] where t FFC-MFD , Δt FFC-MFD are respectively the pre-control action moment and the duration of the frequency correction that satisfy the [f MFD ,0] constraint of the maximum frequency deviation binary table, ΔP max is the maximum output power of the frequency correction pre-control resource, t MFD1 , t MFD2 respectively represent the moments before and after the frequency curve reaches f MFD , describing the time process of the frequency trajectory from dropping below f MFD to recovering to this value, PFFC-MFD (t MFD1 ) represents the moment t MFD1 The injected power, ΔP(t 0 ) represents the initial unbalanced power.

[0082] In a preferred embodiment, the injected energy ΔE QSFD is not less than the numerical difference between the square of the ratio of the upper limit of the system inertia multiplied by the ratio of the quasi-steady state frequency to the rated frequency and the square of the ratio of the lower limit of the system inertia multiplied by the ratio of the frequency at moment t QSFD1 to the rated frequency;

[0083] The action moment of the pre-control of frequency correction is t QSFD1 minus the duration, and the duration value is the injected energy ΔE at the unit output power QSFD , and the output power takes the minimum value among the maximum output power of the pre-control resources of frequency correction and the average value of the injected energy ΔE QSFD within the time period t QSFD1- t 2 where t 2 is the moment corresponding to the lowest frequency.

[0084] Specifically, the action moment, duration, and output power of the pre-control of frequency correction are expressed as:

[0085]

[0086] where t FFC-QSFD , Δt FFC-QSFD , P FFC-QSFD (t QSFD ) are respectively the action moment, duration, and output power of the pre-control of frequency correction that satisfy the constraints of the binary table of quasi-steady state frequency deviation [f QSFD , t QSFD1 .

[0087] In a preferred embodiment, compare the energy ΔE MFD with the energy ΔE QSFD , and make different decisions according to the comparison result, including:

[0088] When ΔE MFD ≥ΔE QSFD , before the frequency reaches the lowest point, inject the energy ΔE MFD ;

[0089] When ΔE MFD <ΔE QSFD , the intervention moment of the pre-control of frequency correction is not later than the moment when the frequency response curve is lower than ΔE MFD , and the duration value is the injected energy ΔE at the unit output power QSFD, the output power is not less than the initial unbalanced power and the time period t QSFD1 -t MFD1 ΔE within QSFD The maximum value among the average values ​​satisfies the output power not exceeding the maximum output power limit of the frequency correction pre-control resource.

[0090] Specifically, when ΔE MFD ≥ΔE QSFD When ΔE MFD ≥ΔE QSFD , and generally t MFD2 <t QSFD1 , so at t QSFD1 Before, satisfy [f QSFD ,t QSFD1 ] condition has been released. Therefore, the energy injected can be directly calculated according to the injected energy ΔE MFD The strategy shown in the expression.

[0091] When ΔE MFD <ΔE QSFD When the frequency correction pre-control intervention time cannot be later than t, the dual constraints of maximum frequency deviation and quasi-steady-state frequency deviation must be met. MFD1 At the same time, the output power should not be less than the initial unbalanced power ΔP (t 0 ). Considering the above factors, while satisfying [f MFD ,0] and [f QSFD ,t QSFD1 The decision of the constraint can be expressed as follows:

[0092]

[0093] Among them, t FFC-MFD-QSFD , Δt FFC-MFD-QSFD , P FFC-MFD-QSFD (t MFD1 ) respectively satisfy [f MFD ,0] and [f QSFD ,t QSFD1 ]constrained frequency correction pre-control action time, duration, and output power.

[0094] It should be noted that this embodiment is positioned as a pre-measure for traditional low-frequency load reduction / high-frequency machine cutting, and is a system-level frequency control method before the traditional frequency correction control action; the triggering method combines the advantages of feedforward control based on fault event triggering and feedback control based on frequency trajectory triggering, and adopts "event and trajectory joint triggering". Control is only started when a preset accident occurs and the frequency trajectory meets the triggering conditions.

[0095] In a preferred embodiment, the frequency correction pre-control strategy for refreshing the current time period includes three elements: the trigger latest time, the duration, and the output minimum power.

[0096] The present invention analyzes the mechanism of frequency response over-limit in low-inertia and weak frequency modulation scenarios from the perspectives of energy and power balance; proposes a frequency correction pre-control method and an engineering implementation plan, effectively improving the adaptability of decision-making; can quantify the unbalanced energy compensation under frequency safety boundary constraints, and before the under-frequency load shedding action, through a centralized control method, use low-cost control resources such as energy storage to inject frequency regulation energy into the system to improve the frequency response.

[0097] The above is a schematic solution of a centralized frequency correction pre-control decision method considering short-term inertia fluctuation in this embodiment. It should be noted that the technical solution of the centralized frequency correction pre-control decision system considering short-term inertia fluctuation belongs to the same concept as the above-mentioned centralized frequency correction pre-control decision method considering short-term inertia fluctuation. For the details not described in the technical solution of the centralized frequency correction pre-control decision system considering short-term inertia fluctuation in this embodiment, reference can be made to the description of the technical solution of the centralized frequency correction pre-control decision method considering short-term inertia fluctuation.

[0098] The centralized frequency correction pre-control decision system considering short-term inertia fluctuation in this embodiment includes:

[0099] An acquisition module, configured to define a time period, acquire real-time grid operation mode data at the initial moment of the time period, estimate the upper and lower limits of the grid inertia within the future time period of this time period, generate an operation mode according to the estimation result, and acquire the frequency disturbed trajectory under a preset fault;

[0100] A judgment module, configured to define at least two groups of frequency constraint binary tables that meet the frequency drop depth and recovery speed based on the operation mode and the frequency disturbed trajectory, and judge whether the frequency constraint binary tables are met;

[0101] An execution module, configured to refresh the frequency correction pre-control strategy for the current time period based on the judgment result and send it to the frequency correction pre-control system for execution.

[0102] In a preferred embodiment, the judgment module includes:

[0103] The frequency constraint binary table includes the maximum frequency deviation constraint binary table [f MFD , 0] and the quasi-steady state frequency deviation constraint binary table [f QSFD , t QSFD1 ;

[0104] If the actual frequencies all satisfy the maximum frequency deviation constraint binary table and the quasi-steady state frequency deviation constraint binary table, do not update the pre-control strategy for frequency correction and use it as the pre-control strategy for frequency correction in the current time period; otherwise, update and generate the pre-control strategy for frequency correction in the current time period according to the frequency constraint judgment.

[0105] Among them, if the actual frequency only does not satisfy the maximum frequency deviation constraint binary table, before the frequency reaches the lowest point, inject energy ΔE MFD ;

[0106] If the actual frequency only does not satisfy the quasi-steady state frequency deviation constraint binary table, before the frequency exceeds the limit, inject energy ΔE QSFD ;

[0107] If the actual frequencies do not satisfy the maximum frequency deviation constraint binary table and the quasi-steady state frequency deviation constraint binary table, compare the energy ΔE MFD with the energy ΔE QSFD and make different decisions according to the comparison result.

[0108] Among them, the injected energy ΔE MFD includes:

[0109] The injected energy ΔE MFD is not less than the integral of the initial unbalanced power during this time period, and needs to be converted into three elements: the action moment, the duration, and the output power before implementation;

[0110] Among them, the action moment is not later than the moment when the frequency response curve is lower than f MFD , the duration is not less than the time when the frequency response curve crosses the [f MFD , 0] constraint, and the output power is not less than the initial unbalanced power.

[0111] The injected energy ΔE QSFD includes:

[0112] The injected energy ΔE QSFD is not less than the numerical difference between the square of the product of the upper limit of the system inertia and the ratio of the quasi-steady state frequency to the rated frequency and the square of the product of the lower limit of the system inertia and the ratio of the frequency at time t QSFD1 to the rated frequency;

[0113] The action moment of the pre-control for frequency correction is t QSFD1 minus the duration, the duration value is the injected energy ΔE QSFD under the unit output power, and the output power takes the minimum value between the output maximum power of the pre-control resources for frequency correction and the average value of the injected energy ΔE QSFD during the time period t QSFD1- t 2 within, where t 2is the moment corresponding to the lowest frequency point.

[0114] When ΔE MFD ≥ΔE QSFD before the frequency reaches the lowest point. MFD ;

[0115] When ΔE MFD <ΔE QSFD is not later than the moment when the frequency response curve is lower than ΔE MFD The duration value is the injected energy ΔE QSFD under the unit output power, and the output power is not less than the maximum value of the initial unbalanced power and the average value of ΔE QSFD1 -t MFD1 within the time period t QSFD At the same time, the output power does not exceed the maximum output power limit of the frequency correction pre-control resources.

[0116] The execution module includes:

[0117] Refreshing the frequency correction pre-control strategy for the current time period includes three elements: the latest trigger time, the duration, and the minimum output power.

[0118] Specifically, the objects of the frequency correction pre-control are new energy and energy storage in the load-shedding operation state. The control architecture is divided into three layers: the frequency correction pre-control master station, the new energy storage execution station, and the power monitoring device, including:

[0119] 1) The frequency correction pre-control master station is responsible for receiving the control strategy issued by the superior online fault prevention system and distributing it to the execution station;

[0120] 2) The new energy storage execution station is responsible for uploading the operation state information of the new energy and energy storage sites to the master station and receiving the station-level control strategy issued by the master station;

[0121] 3) The new energy and energy storage power monitoring device is responsible for collecting the operation states of the wind turbines and photovoltaic / storage inverters and distributing the control quantities;

[0122] 4) The communication protocol adopts the GOOSE / UDP scheme, and the overall control time is less than 30 ms.

[0123] This embodiment also provides an electronic device applicable to the situation of centralized frequency correction pre-control decision-making considering short-term inertia fluctuations, including:

[0124] A memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the method for realizing centralized frequency correction pre-control decision-making considering short-term inertia fluctuations as proposed in the above embodiment.

[0125] This embodiment also provides a storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the centralized frequency correction pre-control decision method considering short-term inertia fluctuation as proposed in the above embodiment.

[0126] The storage medium proposed in this embodiment and the centralized frequency correction pre-control decision method considering short-term inertia fluctuation proposed in the above embodiment belong to the same inventive concept. Technical details not described in detail in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0127] From the above description of the embodiments, those skilled in the art can clearly understand that the present invention can be implemented by means of software and necessary general hardware. Of course, it can also be implemented by hardware, but in many cases the former is a better implementation manner. Based on such an understanding, the technical solution of the present invention, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as a floppy disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (FLASH), a hard disk or an optical disc of a computer, etc., including several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of various embodiments of the present invention.

[0128] Embodiment 2

[0129] Referring to Table 1 and Figures 3 - 12 , an embodiment of the present invention provides a centralized frequency correction pre-control decision method considering short-term inertia fluctuation. In order to verify its beneficial effects, scientific demonstrations are carried out through economic benefit calculation and simulation experiments.

[0130] Based on the PSD-BPA and MATLAB / Simulink platforms, the accuracy and effectiveness of the proposed online frequency prediction method are analyzed and verified through the New England 39-bus test system (hereinafter referred to as the 39-bus system) and a certain actual power grid system example.

[0131] The topology diagram of the 39-bus system is as Figure 3 shown. In this system, the synchronous machines connected to BUS-32, BUS-34, and BUS-37 are replaced with a wind farm composed of doubly-fed wind turbines. The wind power all has the low voltage ride-through function. The initial power generation outputs of the three wind farms are 620MW, 620MW, and 540MW respectively, accounting for 29% of the total power generation of the system. The load model is 90% constant impedance, 5% constant current, 5% constant power, the rated frequency is 50Hz, and the agreed [fMFD ,0]=[49,0] and [f QSFD ,t QSFD1 =[49.2,10].

[0132] The topological schematic diagram of a certain actual power grid system is as Figure 4 shown. The total power generation output of the system is 140 million kilowatts, the new energy penetration rate is about 20%, and multiple incoming DCs such as FF DC (full transmission power of 8 million kilowatts) are connected. The load model is 58% induction motors, 22% constant impedance, 15% constant current, and 5% constant power. The agreed [f MFD ,0]=[49.2,0] and [f QSFD ,t QSFD1 =[49.7,3].

[0133] In Figure 5 the cooperation of the master station layer - execution layer - monitoring layer of the frequency correction pre - control system architecture shown, the control quantity is directly allocated to the power generation unit to ensure implementation in place, and simulation verification of each link is carried out.

[0134] (1) Verification of the preliminary energy estimation of frequency correction pre - control

[0135] To verify the correctness of the preliminary energy estimation in the method of this paper, two different types of faults, namely temporary and permanent power shocks, are selected for verification.

[0136] 1)[f MFD ,0] constraint on the preliminary energy estimation of frequency correction pre - control

[0137] Considering the three - phase short - circuit fault between BUS - 3 and BUS - 4, t 0 = 0s when the fault occurs and is removed after 100ms. The fault causes all three wind farms to enter the low - voltage ride - through state, and the system power generation decreases. As the fault is removed, the active power of the wind power gradually recovers. During this process, the system frequency drops rapidly and exceeds the [49.0,0] constraint for up to 1.97s, as Figure 6 shown by the red curve. On the premise of considering the inertia fluctuation, from the active power response curve of the wind power and the injected energy ΔE MFD expression, the frequency correction pre - control energy ΔE MFD satisfying the [49.0,0] constraint can be preliminarily calculated and estimated to be 1770.32MW·s. On this basis, considering that when the frequency is first lower than 49.0Hz, after providing a frequency correction pre - control with a duration of 1.97s and a power of 898.64MW to the power grid, the system frequency response starts to rise from 49.0Hz and can meet the [49.0,0] constraint, as Figure 6 shown by the blue curve.

[0138] 2)[fQSFD ,t QSFD1 Preliminary Energy Estimation of Pre-control for Frequency Correction under Constraints

[0139] Consider a fault-free trip occurs between BUS-16 and BUS-19, resulting in the disconnection of the wind farm where BUS-32 is located, causing a power deficit of 620 MW. The frequency drops to a minimum of 49.1 Hz. And due to the replacement of the original synchronous machines in the system, the frequency regulation ability of the system is greatly weakened, and the frequency recovery is slow, not meeting the requirement of [49.2, 10]. The time of the frequency response below 49.2 Hz reaches 15.78 s, as Figure 7 shown by the blue curve. On the premise of considering the inertia fluctuation, the pre-control energy ΔE of frequency correction that meets the constraints of [49.2, 10] can be preliminarily calculated and estimated QSFD to be 1557.49 MW·s. On this basis, considering that when the frequency drops to the lowest point t = 23.42 s, a pre-control of frequency correction with a duration of 2.36 s and a power of 659.95 MW is provided to the power grid. After that, the time of the frequency curve below 49.2 Hz is reduced to 9.69 s, meeting the constraint condition of [49.2, 10], as Figure 7 shown by the red curve.

[0140] (2) Verification of Secondary Check Decision

[0141] Taking a certain actual power grid as an example, the strategy of pre-control for frequency correction is refined and secondarily checked.

[0142] 1) Secondary Check Decision under [f MFD , 0] Constraints

[0143] Consider a three-phase short-circuit fault trip occurs in the double-circuit line from AJ to LT in Figure 4 . The fault occurs at t 0 = 0 s and is removed after 100 ms. The fault causes a large number of wind farms in nearby power grids such as JS / SH / ZJ / AH / FJ to enter low voltage ride-through on a large scale, and the frequency drops rapidly. The lowest frequency reaches 49.06 Hz. The frequency response curve is as Figure 8 shown by the red curve. To meet the energy condition of the [49.2, 0] constraint, the pre-control strategy of frequency correction that meets the [49.2, 0] constraint is refined as shown in the following formula:

[0144]

[0145] That is, when the frequency is first lower than 49.2 Hz, at 1.02 s, a pre-control of frequency correction with a duration of 0.66 s and a power of 19275.76 MW is provided to the power grid. The result is as Figure 8As shown by the blue curve, it can be seen that after applying the pre-control of frequency correction, the frequency response meets the [49.2, 0] constraint. Although the overshoot slightly increases during the frequency recovery process, it is still within an acceptable range and meets the operation requirements.

[0146] 2) Secondary verification decision under the constraint of [f QSFD , t QSFD1

[0147] Since the new energy penetration rate and the proportion of externally received power in this actual power grid are both relatively high, the system's frequency regulation ability has greatly declined. Considering the bipolar blocking fault of the FF DC, the system frequency drops and recovers slowly. The time when the frequency is below 49.7 Hz reaches 5.68 s, which does not meet the requirements of [49.7, 3]. As Figure 9 shown by the red curve, a pre-control strategy of frequency correction that meets the [49.7, 3] constraint is refined and formulated as follows:

[0148]

[0149] That is, at t = 4.93 s, a pre-control of frequency correction with a duration of 0.8 s and a power of 9940 MW is provided to the power grid. The frequency response reaches [49.7, 2.53], meeting the requirements of the [49.7, 3] constraint. As Figure 9 shown by the blue curve. Due to this fault, a permanent power deficit is caused, and the frequency will drop again after the pre-control of frequency correction exits, but it still meets the operation requirements.

[0150] 3) Secondary verification decision under the joint constraints of [f MFD , 0] and [f QSFD , t QSFD1

[0151] If the new energy penetration rate of this actual power grid further increases, the system voltage support ability will decline accordingly. Still considering the three-phase short-circuit fault of the double-circuit line from AJ to LT, it will not only cause a large number of wind farms in multiple power grids such as JS / SH / ZJ / AH / FJ to enter low voltage ride-through, but also lead to the continuous commutation failure and finally blocking of the FF DC, forming a serious scenario of a massive impact of temporary power and permanent power deficits. In this scenario, the system frequency drops faster, reaching a minimum of 48.92 Hz, and the recovery speed is slower. The time when the frequency is below 49.7 Hz is close to 6 s. The requirements of [49.2, 0] and [49.7, 3] are not met. As Figure 10 shown by the red curve. Through the preliminary estimation of the pre-control energy of frequency correction, ΔE MFD = 9940 MW·s, ΔE QSFD = 25444 MW·s, ΔE MFD < ΔE QSFD, a frequency correction pre-control strategy is refined and formulated as shown in the following formula:

[0152]

[0153] Compared with the situation without frequency correction pre-control, the implementation effect shows that the constraints of [f MFD ,0] and [f QSFD ,t QSFD1 are all met, improving the ability to handle complex and severe power imbalance faults.

[0154] (3) Influence of short-term inertia fluctuation

[0155] To verify the influence of short-term inertia fluctuation on the effect of frequency correction pre-control, still taking the actual power grid shown in Figure 3 as an example, assuming that the decision-making period of on-line frequency correction pre-control is T, within the T period under the current operation mode, based on the historical fluctuation data of new energy and load of this actual power grid, the upper limit of its short-term inertia total kinetic energy can be calculated to be 533774.22 MW·s, and the lower limit is 463389.42 MW·s, and the value is reduced by 13.2% compared with the value. Still considering the three-phase short-circuit fault tripping of the double-circuit line from AJ to LT, the fault occurs at t 0 = 0 s and is cleared after 100 ms.

[0156] If the inertia fluctuation within the T period is not considered, the frequency correction pre-control strategy will be calculated based on the static inertia obtained from the operation mode at the initial moment of T. Considering an extreme scenario, the system inertia at the initial moment of T is and , and the frequency correction pre-control strategies are shown in Table 1. However, the inertia within the T period may fluctuate in the opposite direction, even reaching the reverse limit. In this case, the frequency correction pre-control strategy formulated at the initial moment of T may not be applicable. Figure 11 shows the comparison of the effects of the frequency correction pre-control strategy with low inertia under the high inertia operation mode and the frequency correction pre-control strategy with high inertia under the low inertia operation mode. It can be seen that when the inertia fluctuation within the T period is not considered, in extreme cases, serious over-control or under-control problems will occur in the frequency response curve after adopting the frequency correction pre-control.

[0157] Table 1 Influence of short-term inertia fluctuation on control quantity

[0158]

[0159] (4) Verification of Trigger Strategy

[0160] The pre - control of frequency correction adopts the fusion trigger of events and frequency trajectories, aiming to avoid mal - operation to the greatest extent. In contrast, still taking the tripping of the AJ - LT line as an example, if only the event - trigger mode is adopted, when the tripping is a non - fault tripping, generally there will be no phenomenon of a large number of new energies entering the low - voltage ride - through. At this time, if the original pre - control strategy of frequency correction is still adopted, serious over - control will occur, which belongs to the mis - operation of the strategy, as shown in the curve; if only the response - trigger mode is adopted, the pre - control strategy of frequency correction lacks pertinence, the frequency response effect is not good, and the control cost is relatively high. Figure 12 As shown in the curve; if only the response - trigger mode is adopted, the pre - control strategy of frequency correction lacks pertinence, the frequency response effect is not good, and the control cost is relatively high.

[0161] To sum up, the present invention analyzes the mechanism of frequency - response over - limit in low - inertia and weak - frequency - regulation scenarios from the perspective of energy and power balance. The condition for meeting the frequency - minimum - point constraint is that the total power absorbed by the system from the outside before the frequency reaches the lowest point is not less than the initial unbalanced power of the system; the condition for meeting the frequency - recovery - time constraint is that before the end of the constraint moment, the sum of the total energy absorbed by the system, including primary frequency regulation, and the inertia - support energy output by the rotor is not less than the energy accumulated under the initial unbalanced power of the system. The pre - control of frequency correction adopts a decision - making method of "online pre - decision and real - time matching", and is refreshed by calculating the control strategy online periodically. Specifically, it is divided into two steps: "preliminary energy estimation" and "secondary precise verification", ensuring the rapidity and conservatism of the decision - making. The influence of inertia fluctuation within the decision - making period is considered during the decision - making process. The inertia provided by synchronous machines, loads, and converter interfaces is unified into the energy dimension, and the inertia fluctuation is estimated according to the principle of the maximum possible upper and lower limits of fluctuation within the decision - making period. The trigger mode of the pre - control of frequency correction adopts "joint trigger of events and trajectories", and a three - layer architecture of the master station, new - energy energy - storage execution station, and power monitoring device is proposed.

[0162] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A centralized frequency correction pre-control decision method considering short-term inertia fluctuations, characterized in that: include: Define a time period, obtain real-time grid operation mode data at the initial moment of the time period, estimate the upper and lower limits of grid inertia in the future time period, generate an operation mode based on the estimation result, and obtain the frequency disturbance trajectory under the preset fault; Based on the operation mode and the frequency disturbance trajectory, at least two sets of frequency constraint binary tables satisfying the frequency drop depth and the recovery speed are defined, and whether the frequency constraint binary tables are satisfied is judged; Based on the judgment result, the frequency correction pre-control strategy of the current time period is refreshed and sent to the frequency correction pre-control system for execution.

2. The centralized frequency correction pre-control decision method considering short-term inertia fluctuations according to claim 1 is characterized in that: Defining at least two sets of frequency constraint binary tables that satisfy the frequency drop depth and the recovery speed, and judging whether the frequency constraint binary tables are satisfied includes: The frequency constraint binary table includes a maximum frequency deviation constraint binary table [f MFD ,0] and the quasi-steady-state frequency deviation constraint binary table [f QSFD ,t QSFD1 ]; If the actual frequency satisfies both the maximum frequency deviation constraint binary table and the quasi-steady-state frequency deviation constraint binary table, the frequency correction pre-control strategy of the previous time period is not updated and is used as the frequency correction pre-control strategy of the current time period; otherwise, the frequency correction pre-control strategy of the current time period is updated and generated according to the frequency constraint judgment; If the actual frequency does not satisfy the maximum frequency deviation constraint binary table, before the frequency reaches the lowest point, the energy ΔE is injected. MFD ; If the actual frequency only fails to satisfy the quasi-steady-state frequency deviation constraint binary table, before the frequency exceeds the limit, energy ΔE is injected QSFD ; If the actual frequency does not satisfy the maximum frequency deviation constraint binary table and the quasi-steady-state frequency deviation constraint binary table, compare the energy ΔE MFD and energy ΔE QSFD The size of the object is determined by the comparison result, and different decisions are made based on the comparison result.

3. The centralized frequency correction pre-control decision method considering short-term inertia fluctuation as claimed in claim 2 is characterized in that: The injection energy ΔE MFD include: Injection energy ΔE MFD It should not be less than the integral of the initial unbalanced power in the time period, and it should be converted into the three elements of action time, duration and output power before implementation; The action time is no later than when the frequency response curve is lower than f MFD The moment, the duration is not less than the frequency response curve crosses [f MFD ,0] constrained time, the output power is not less than the initial unbalanced power.

4. The centralized frequency correction pre-control decision method considering short-term inertia fluctuations as claimed in claim 2 is characterized in that: Injection energy ΔE QSFD include: Injection energy ΔE QSFD Not less than the upper limit of system inertia multiplied by the square of the ratio of quasi-steady-state frequency to rated frequency and the lower limit of system inertia multiplied by t QSFD1 The numerical difference between the moment frequency and the square of the rated frequency; The action time of frequency correction pre-control is t QSFD1 Subtract the duration, the duration value is the injected energy ΔE at unit output power QSFD The output power is the maximum output power of the frequency correction pre-control resource and the injected energy ΔE QSFD In the time period t QSFD1- The minimum value among the average values ​​within t2, where t2 is the time corresponding to the lowest frequency point.

5. The centralized frequency correction pre-control decision method considering short-term inertia fluctuations as claimed in claim 2, characterized in that: Comparative Energy ΔE MFD and energy ΔE QSFD The size of the , based on the comparison results, different decisions are made including: When ΔE MFD ≥ΔE QSFD When the frequency reaches the lowest point, the energy ΔE is injected MFD ; When ΔE MFD <ΔE QSFD When the frequency correction pre-control intervention time is no later than the frequency response curve is lower than ΔE MFD The duration is the injected energy ΔE at unit output power. QSFD , the output power is not less than the initial unbalanced power and the time period t QSFD1 -t MFD1 ΔE within QSFD The maximum value among the average values ​​satisfies the output power not exceeding the maximum output power limit of the frequency correction pre-control resource.

6. The centralized frequency correction pre-control decision method considering short-term inertia fluctuations as described in any one of claims 3 to 6, characterized in that: The frequency correction pre-control strategy for refreshing the current time period includes three elements: the latest triggering time, the duration, and the minimum output power.

7. A centralized frequency correction pre-control decision system considering short-term inertia fluctuations, used in the centralized frequency correction pre-control decision method considering short-term inertia fluctuations as claimed in any one of claims 1 to 6, characterized in that: include, An acquisition module is used to define a time period, acquire the real-time operation mode data of the power grid at the initial moment of the time period, estimate the upper and lower limits of the power grid inertia in the future time period, generate the operation mode according to the estimation result, and acquire the frequency disturbance trajectory under the preset fault; A judgment module, used to define at least two sets of frequency constraint binary tables satisfying frequency drop depth and recovery speed based on the operation mode and the frequency disturbance trajectory, and judge whether the frequency constraint binary tables are satisfied; The execution module is used to refresh the frequency correction pre-control strategy of the current time period based on the judgment result, and send it to the frequency correction pre-control system for execution.

8. The centralized frequency correction pre-control decision system considering short-term inertia fluctuations as claimed in claim 7, characterized in that: The judging module comprises: The frequency constraint binary table includes a maximum frequency deviation constraint binary table [f MFD ,0] and the quasi-steady-state frequency deviation constraint binary table [f QSFD ,t QSFD1 ]; If the actual frequency satisfies both the maximum frequency deviation constraint binary table and the quasi-steady-state frequency deviation constraint binary table, the frequency correction pre-control strategy is not updated and is used as the frequency correction pre-control strategy for the current time period; otherwise, the frequency correction pre-control strategy for the current time period is updated and generated according to the frequency constraint judgment; If the actual frequency does not satisfy the maximum frequency deviation constraint binary table, before the frequency reaches the lowest point, the energy ΔE is injected. MFD ; If the actual frequency only fails to satisfy the quasi-steady-state frequency deviation constraint binary table, before the frequency exceeds the limit, energy ΔE is injected QSFD ; If the actual frequency does not satisfy the maximum frequency deviation constraint binary table and the quasi-steady-state frequency deviation constraint binary table, compare the energy ΔE MFD and energy ΔE QSFD The size of the object is determined by the comparison result, and different decisions are made based on the comparison result.

9. An electronic device, characterized in that: include: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the live working risk assessment method based on multi-source data as described in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium, characterized in that: It stores computer executable instructions, which, when executed by a processor, implement the steps of the live working risk assessment method based on multi-source data as described in any one of claims 1 to 6.

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