Virtual power plant building key load priority allocation method and system

Abstract

The application discloses a virtual power plant building key load priority allocation method and system, and relates to the technical field of load scheduling management. The virtual power plant building key load priority allocation method and system comprises the following steps: S1, collecting load switching scheduling data and preprocessing the load switching scheduling data; S2, identifying an executable switching window between a main power supply and a backup power supply, quantifying a switching impact index of the load, and screening a candidate load set; S3, evaluating the switching priority of the load and generating a sorting list, sequentially selecting according to a remaining impact capacity upper limit of a bus, and forming a current period execution plan; and S4, executing a scheduling instruction, recording running parameters before and after switching in real time, constructing a disturbance evaluation input set, evaluating the disturbance degree of load switching, judging the switching state based on the evaluation result, and triggering a feedback mechanism to adjust subsequent sorting weights and impact capacity limits. The problem that multiple loads are concurrently connected in the switching process of the main power supply and the backup power supply, resulting in bus impact, is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of load scheduling management, in particular to a virtual power plant building critical load priority allocation method and system. BACKGROUND

[0002] With the continuous increase of new energy grid-connected proportion and the increasing complexity of power system load structure, the simultaneous access of multiple high-priority loads in the process of main and standby power source switching often causes bus voltage drop, current impact and even protection tripping, etc., which seriously affects the stability and safety of the power system. Therefore, how to realize load switching scheduling under multi-source coordination while ensuring system stability has become one of the key technical problems in current smart grid and industrial energy management.

[0003] For example, the invention with publication number CN112634078B provides a large industrial load interruption priority evaluation method based on multi-dimensional index fusion, which includes the following steps: first, a comprehensive evaluation index system of large industrial load interruption priority is constructed; the data required for comprehensive evaluation is obtained, and the evaluation index is calculated; the comprehensive evaluation index system is preprocessed; the weight coefficients of the indicators at all levels in the comprehensive evaluation index system are determined; and the comprehensive evaluation method is used to evaluate the interruption priority of different large industrial loads. This invention considers the possible influencing factors of large industrial load interruption priority from multiple angles, and the judgment result has high accuracy and reliability.

[0004] For example, the invention with publication number CN113361831A provides a non-intrusive load identification and power decomposition method and system based on priority allocation, which includes load start-stop edge detection, load start-stop edge classification, first priority load power decomposition, and second priority load power decomposition; according to the high-frequency sampling information collected and calculated by the non-intrusive load identification device, the maximum likelihood ratio algorithm is used to detect the load start-stop edge to obtain the active, reactive, and harmonic characteristic information of the edge; then the Euclidean distance of the edge characteristic data is calculated, and the load edge is classified to realize load type identification; finally, the power is decomposed according to the two-step priority. It solves the problem of inaccurate power identification of air conditioners and other power fluctuation characteristics, and can realize accurate power decomposition under the simultaneous working state of multiple electrical appliances.

[0005] However, the existing technology focuses on load interruption evaluation or power decomposition identification, and fails to comprehensively consider the coordinated influence of key factors such as power source synchronicity, load start-up impact, and bus carrying capacity on the multi-load switching scheduling process from the system perspective, making it difficult to achieve safe and efficient dynamic load scheduling. At the same time, the existing methods generally lack a closed-loop feedback mechanism after scheduling execution, and cannot dynamically modify the scheduling strategy according to the disturbance response result, resulting in system control response lag and insufficient operation stability.

[0006] Therefore, in view of the above problems, there is an urgent need for a virtual power plant building key load priority allocation method and system. SUMMARY

[0007] Technical problems to be solved

[0008] In view of the deficiencies in the prior art, the present application provides a virtual power plant building key load priority allocation method and system, which solves the problem of bus impact caused by concurrent access of multiple loads during the switching process of the main and standby power sources.

[0009] Technical scheme

[0010] To achieve the above purpose, the present application is implemented by the following technical scheme: a virtual power plant building key load priority allocation method and system, comprising: S1, collecting load switching scheduling data, and performing time sequence synchronization, abnormality elimination, physical consistency verification and normalization processing on the load switching scheduling data; S2, based on the preprocessed load switching scheduling data, identifying the executable switching window between the main and standby power sources, quantifying the switching impact index of the load, combining the remaining impact capacity of the bus, and screening the candidate load set that meets the constraints; S3, extracting the candidate load set, evaluating the switching priority of the load and generating a ranking list, sequentially selecting according to the upper limit of the remaining impact capacity of the bus, forming the current period execution plan, constructing the scheduling instruction and packaging it into a scheduling instruction data packet; S4, executing the scheduling instruction and recording the running parameters before and after the switching in real time, constructing the disturbance evaluation input set, evaluating the disturbance degree of the load switching, determining the switching state based on the evaluation result, and triggering the feedback mechanism to adjust the subsequent ranking weight and impact capacity limit.

[0011] Further, the specific steps of collecting load switching scheduling data and performing time synchronization, abnormality elimination, physical consistency verification and normalization processing on the load switching scheduling data are as follows: collecting load switching scheduling data, the load switching scheduling data including load branch cable impedance, load power, starting current peak value, steady-state operating current, starting duration, bus voltage, bus current, main power output voltage, main power output frequency, main power voltage phase angle, standby power output voltage, standby power output frequency, standby power voltage phase angle and switching response time; and combining the equipment parameter table and the power plant operation configuration to obtain equipment number, building number, equipment rated power, equipment rated current, bus rated voltage and target response time limit; through constructing a multi-source clock comparison and dynamic sampling offset compensation method based on power frequency reference, performing time synchronization and sampling period coordination processing on the load switching scheduling data; through introducing an abnormal mutation detection method of segmented derivative restriction and jump persistence verification, performing sampling error elimination and non-physical mutation correction processing on the load switching scheduling data; through establishing a joint physical verification method of power phase consistency determination rule and load behavior change constraint relationship, performing switching condition rationality test and data record effectiveness screening processing on the load switching scheduling data; through constructing a multi-source data coordination method of dimension unified mapping relationship and parameter field reorganization rule, performing unit standardization and format standardization processing on the load switching scheduling data; through a multi-dimensional interval conversion method of fusion operation boundary normalized mapping and risk grading scale transformation, performing value domain compression and control input normalization processing on the load switching scheduling data.

[0012] Further, based on the preprocessed load switching scheduling data, the specific steps of identifying the executable switching window between the main and standby power sources are as follows: based on the preprocessed load switching scheduling data, extracting the main power voltage phase angle, standby power voltage phase angle, main power output frequency, standby power output frequency, main power output voltage and standby power output voltage, respectively calculating the synchronization difference to obtain the phase deviation, frequency deviation and voltage deviation, and comparing them with the phase deviation threshold, frequency deviation threshold and voltage deviation threshold, determining the synchronization switchable time point when the three deviations do not exceed the corresponding threshold, and using a fixed width sliding window to interval aggregate the time period continuously satisfying the condition to obtain the executable switching window; the rest of the time is determined as the non-switchable state.

[0013] Further, the specific steps of quantifying the switching impact index of the load are as follows: the peak starting current is divided by the steady-state operating current, and the square value is taken to obtain the current impact term; the phase angle of the main power supply voltage is subtracted from the phase angle of the standby power supply voltage, and the absolute value is divided by the maximum allowed phase difference, and the result is added by one to obtain the phase synchronization deviation term; the load branch cable impedance is divided by the impedance reference value and then added by one to obtain the impedance increase term; the current impact term, the phase synchronization deviation term, and the impedance increase term are multiplied in turn to obtain the load switching impact evaluation value.

[0014] Further, in combination with the bus residual impact capacity, the specific steps of screening the candidate load set satisfying the constraint are as follows: in the current executable switching window, the maximum instantaneous impact load upper limit that the main power supply bus can withstand is calculated based on the bus operating state, and the cumulative load switching impact evaluation value of the connected load is subtracted to obtain the bus residual impact capacity; the load switching impact evaluation value is compared with the bus residual impact capacity, when the load switching impact evaluation value is greater than the bus residual impact capacity, it is judged that there is an impact overload risk in the current switching period, and the switching is suspended; when the load switching impact evaluation value is less than or equal to the bus residual impact capacity, it is judged that the bus impact constraint condition is satisfied, and it is included in the candidate load set.

[0015] Further, the specific steps of extracting the candidate load set, evaluating the switching priority of the load, and generating a sorted list are as follows: the candidate load set is extracted, the starting duration is added to the logarithm value of the equipment rated power plus one in base ten to obtain the operation criticality term; the operation criticality term is divided by the load switching impact evaluation value plus one to obtain the load switching priority evaluation value; the loads in the candidate load set are sorted in descending order of the load switching priority evaluation value to generate a sorted list of the current switching period; when multiple loads have the same load switching priority evaluation value, the one with longer starting duration is selected as the first one.

[0016] Further, the specific steps of extracting the candidate load set, evaluating the switching priority of the load, and generating a sorted list are as follows: the candidate load set is extracted, the starting duration is added to the logarithm value of the equipment rated power plus one in base ten to obtain the operation criticality term; the operation criticality term is divided by the load switching impact evaluation value plus one to obtain the load switching priority evaluation value; the loads in the candidate load set are sorted in descending order of the load switching priority evaluation value to generate a sorted list of the current switching period; when multiple loads have the same load switching priority evaluation value, the one with longer starting duration is selected as the first one.

[0017] Further, the specific steps of executing the dispatching instruction and recording the running parameters before and after the switching in real time, constructing the disturbance evaluation input set, and evaluating the disturbance degree of the load switching are as follows: extracting the dispatching instruction data packet, executing the load switching operation, and recording the electrical running data in the actual execution process in real time, including the bus voltage before and after the switching, the bus current before and after the switching, the load power after the switching, and the actual switching response time, to construct the disturbance evaluation input set; meanwhile, the historical load power of the device type, rated power, and consistent access mode during the steady-state operation is called to calculate the power mean value; based on the disturbance evaluation input set, the difference between the bus voltage after the switching and the bus voltage before the switching is multiplied by the natural logarithm of one plus the rated power of the device, and then divided by the rated voltage of the bus to obtain the voltage disturbance term; the difference between the bus current after the switching and the bus current before the switching is multiplied by the cable impedance of the load branch, and then divided by the rated current of the device to obtain the current disturbance term; the difference between the load power after the switching and the power mean value is divided by the sum of the power mean value and the minimum term to obtain the power disturbance term; the difference between the actual response time and the target response time limit is divided by one plus the target response time limit to obtain the response deviation term; the voltage disturbance term, the current disturbance term, the power disturbance term, and the response deviation term are squared and added, and then squared to obtain the load switching disturbance evaluation value.

[0018] Further, the specific steps of determining the switching state based on the evaluation result and triggering the feedback mechanism to adjust the subsequent sequencing weight and impact tolerance are as follows: comparing the load switching disturbance evaluation value with the disturbance threshold value, when the load switching disturbance evaluation value is less than or equal to the disturbance threshold value, determining that it is stable switching, and maintaining the current dispatching strategy; when the load switching disturbance evaluation value is greater than the disturbance threshold value, determining that it is abnormal switching, triggering the dispatching feedback mechanism: reducing the execution priority of the load in the next cycle, and reducing the remaining impact capacity limit value of the corresponding bus; binding and archiving the load switching disturbance evaluation value in the current cycle with the dispatching execution result, and storing it into the historical feedback database for calling by the subsequent cycle load sequencing and impact allocation dynamic adjustment strategy.

[0019] The second aspect of the present application provides a virtual power plant building key load priority allocation system, comprising: a data acquisition preprocessing module, an impact identification and optimization screening module, a priority sorting plan generation module and a disturbance monitoring closed-loop feedback module, wherein: the data acquisition preprocessing module is used for collecting load switching scheduling data, and performing time synchronization, abnormality elimination, physical consistency verification and normalization processing on the load switching scheduling data; the impact identification and optimization screening module is used for identifying executable switching windows between main and standby power sources based on the preprocessed load switching scheduling data, quantifying the switching impact indicators of the loads, and screening candidate load sets that meet the constraints in combination with the remaining impact capacity of the bus; the priority sorting plan generation module is used for extracting the candidate load sets, evaluating the switching priority of the loads and generating a sorting list, sequentially selecting according to the upper limit of the remaining impact capacity of the bus, forming a current period execution plan, constructing a scheduling instruction and packaging it into a scheduling instruction data packet; the disturbance monitoring closed-loop feedback module is used for executing the scheduling instruction and recording the operating parameters before and after switching in real time, constructing a disturbance evaluation input set, evaluating the disturbance degree of load switching, determining the switching state based on the evaluation result, and triggering a feedback mechanism to adjust the subsequent sorting weight and impact capacity limit.

[0020] Advantages

[0021] The present application has the following advantages:

[0022] (1) The virtual power plant building key load priority allocation method and system establishes a synchronization determination mechanism based on the differences of phase, frequency and voltage, and extracts executable switching windows combined with a sliding window algorithm, avoids triggering load access at non-synchronous time, effectively reduces the risk of harmonic disturbance, voltage fluctuation and equipment damage caused by asynchronous power switching, and significantly enhances the safety of switching action and the stability of system operation.

[0023] (2) The virtual power plant building key load priority allocation method and system constructs a load switching impact evaluation value model that comprehensively considers the load starting current, cable impedance and power phase difference, and introduces the bus remaining impact capacity as a dynamic constraint reference, realizes real-time matching of load impact characteristics and bus carrying capacity, can effectively avoid operation risks such as bus voltage drop, current mutation and relay protection false triggering caused by impact superposition, and ensures the electrical safety boundary in the switching process.

[0024] (3) The virtual power plant building key load priority allocation method and system introduces a load switching priority evaluation value combined with running criticality and impact cost, comprehensively evaluates the starting characteristics of the equipment and the switching impact degree, sorts the candidate load set, so that under the premise of limited scheduling resources, the load switching tasks with higher criticality and smaller impact are completed first, the overall scheduling benefit ratio is improved, and the scheduling optimization demand in high-density complex scenes such as virtual power plants and building energy management is adapted.

[0025] (4) The virtual power plant building key load priority allocation method and system, by real-time collection of key operation parameters before and after switching, forming a disturbance evaluation input set, and using a disturbance evaluation model to quantify the switching influence degree, if the disturbance is out of limit, triggering strategy adjustment, dynamically correcting the priority ranking and bus impact tolerance of the next cycle, realizing adaptive optimization of the scheduling strategy, enhancing the robustness and flexibility of the system under the dynamic response of multiple loads. BRIEF DESCRIPTION OF DRAWINGS

[0026] Figure 1 The virtual power plant building key load priority allocation method flow chart;

[0027] Figure 2 The virtual power plant building key load priority allocation system structure diagram;

[0028] Figure 3 The candidate load switching priority evaluation value sorting diagram;

[0029] Figure 4 The candidate load screening and bus impact tolerance determination diagram. DETAILED DESCRIPTION

[0030] 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 are only a part of the 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.

[0031] Please refer to Figures 1-4 The embodiments of the present application provide a technical solution: a virtual power plant building key load priority allocation method and system, comprising: S1, collecting load switching scheduling data, and performing time sequence synchronization, abnormality elimination, physical consistency verification and normalization processing on the load switching scheduling data; S2, based on the preprocessed load switching scheduling data, identifying the executable switching window between the main and standby power sources, quantifying the switching impact index of the load, combining the remaining impact capacity of the bus, and screening the candidate load set that meets the constraints; S3, extracting the candidate load set, evaluating the switching priority of the load and generating a sorting list, sequentially selecting according to the upper limit of the remaining impact capacity of the bus, forming the current cycle execution plan, constructing the scheduling instruction and packaging it into a scheduling instruction data packet; S4, executing the scheduling instruction and recording the operation parameters before and after switching in real time, constructing the disturbance evaluation input set, evaluating the disturbance degree of the load switching, determining the switching state based on the evaluation result, and triggering the feedback mechanism to adjust the subsequent sorting weight and impact tolerance.

[0032] Specifically, the load switching scheduling data is collected, and the specific steps of performing time synchronization, abnormality elimination, physical consistency verification and normalization processing on the load switching scheduling data are as follows: collecting the load switching scheduling data, the load switching scheduling data including load branch cable impedance, load power, starting current peak value, steady-state operating current, starting duration, bus voltage, bus current, main power output voltage, main power output frequency, main power voltage phase angle, standby power output voltage, standby power output frequency, standby power voltage phase angle and switching response time, further containing source node number and data sampling interval length of various types of sampling data bound with time stamp; and combining with the device parameter table and the power plant operation configuration, obtaining device number, building number, device rated power, device rated current, bus rated voltage and target response time limit, while supplementing access node type, device installation method, load category identification and belonging to scheduling area number; through constructing a multi-source clock comparison and dynamic sampling offset compensation method based on power frequency reference, further integrating real-time power frequency fluctuation parameters, sampling trigger point deviation and edge node collection delay information, the load switching scheduling data is processed for time synchronization and sampling period coordination; through introducing an abnormal mutation detection method of segmented derivative restriction and jump persistence verification, comprehensively considering voltage derivative mutation rate, phase jump gradient and current jump duration, etc., the load switching scheduling data is processed for sampling error elimination and non-physical mutation correction, to ensure that various key indicators meet the device response law in the change trend; through establishing a joint physical verification method of power phase consistency determination rule and load behavior change constraint relationship, a main and standby power relative phase angle offset tolerance mechanism and a load allowed change condition group are constructed, and the load switching scheduling data is processed for switching condition rationality test and data record effectiveness screening; through constructing a multi-source data coordination method of dimension unified mapping relationship and parameter field reorganization rule, integrating data standard field table and unit conversion matrix, the load switching scheduling data is processed for unit standardization and format standardization, to meet the subsequent multi-model input structure requirements; through a multi-dimensional interval conversion method of integrating operation boundary normalization mapping and risk grading scale transformation, introducing the normalized weight of different variables on scheduling sensitivity, the load switching scheduling data is processed for value domain compression and control input normalization, to enhance the response consistency and calculation convergence performance of the model to abnormal disturbance.

[0033] In this implementation scheme, by performing time-series synchronization, anomaly removal, physical consistency verification, and normalization on the load switching scheduling data, a unified multi-source representation of load branch cable impedance, load power, peak starting current, steady-state operating current, starting duration, bus voltage, bus current, main power supply output voltage, main power supply output frequency, main power supply voltage phase angle, standby power supply output voltage, standby power supply output frequency, standby power supply voltage phase angle, and switching response time is achieved. This ensures the structural consistency and physical rationality of parameters such as equipment number, building number, equipment rated power, equipment rated current, bus rated voltage, and target response time in multiple model inputs. This processing effectively improves data integrity, time-series alignment accuracy, and input parameter standardization, providing a high-confidence data foundation for subsequent switching impact assessment, load prioritization, and scheduling instruction construction, significantly enhancing the accuracy, robustness, and adaptability of the scheduling model.

[0034] Specifically, based on the preprocessed load switching scheduling data, the steps for identifying the executable switching window between the primary and backup power supplies are as follows: Based on the preprocessed load switching scheduling data, extract the primary power supply voltage phase angle, backup power supply voltage phase angle, primary power supply output frequency, backup power supply output frequency, primary power supply output voltage, and backup power supply output voltage. Perform hourly difference calculations and numerical alignment processing on each of these parameters to calculate the synchronization angle difference between the primary and backup power supply voltage phase angles, obtaining the phase deviation; calculate the frequency difference between the primary and backup power supply output frequencies, obtaining the frequency deviation; calculate the amplitude difference between the primary and backup power supply output voltages, obtaining the voltage deviation. Perform point-by-point comparisons of the phase deviation with phase deviation thresholds, frequency deviations with frequency deviation thresholds, and voltage deviations with voltage deviation thresholds. The time points where all three deviations do not exceed their corresponding thresholds are marked as synchronously switchable times. A fixed-width sliding window method is used to aggregate the continuous synchronous switchable moments to form a complete time interval, which serves as the executable switching window within the current cycle. All other moments that do not meet the synchronization criteria are determined to be in an unswitchable state, and the issuance of switching operation commands is prohibited to avoid potential power supply asynchrony risks.

[0035] This implementation introduces a synchronization difference determination method based on the main power supply voltage phase angle, backup power supply voltage phase angle, main power supply output frequency, backup power supply output frequency, main power supply output voltage, and backup power supply output voltage. This method combines phase deviation thresholds, frequency deviation thresholds, and voltage deviation thresholds for constraint determination. A fixed-width sliding window algorithm is then used to aggregate moments that continuously meet the synchronization conditions, effectively identifying executable switching windows between the main and backup power supplies. This method ensures that scheduling commands are executed only within time periods when the synchronization requirements for voltage phase angle, output frequency, and output voltage are all met. This significantly reduces voltage disturbances, frequency fluctuations, and load access impacts caused by asynchronous switching, thus improving the safety, stability, and execution accuracy of the load switching scheduling process.

[0036] Specifically, the steps for quantifying load switching impact indicators are as follows: First, the peak value of the collected starting current is calculated as a numerical ratio to the steady-state operating current. The square of the peak value of the starting current divided by the steady-state operating current is used to obtain the current impact term, which characterizes the degree of current surge during startup. Second, the phase angles of the main power supply voltage and the standby power supply voltage are extracted, and the absolute value of their numerical difference is calculated. This value is then divided by the maximum allowable phase difference threshold, and the resulting ratio is incremented by one to form the phase synchronization deviation term, which measures the degree of power supply phase matching. Third, the measured load branch cable impedance is calculated as a ratio to the impedance reference value, and the result is incremented by one to construct the impedance amplification term, which reflects the relative increase in branch impedance. The impedance reference value is a fixed impedance parameter used to normalize the load branch cable impedance assessment results. It is determined based on the power grid wiring structure, cable laying specifications, and load type configuration, and serves as a unified benchmark for calculating the load switching impact ratio for various load types. Finally, the current surge term, phase synchronization deviation term, and impedance amplification term are multiplied in a fixed order to obtain the load switching surge assessment value, which measures the degree of instantaneous electrical disturbance impact on the target load under the current main and backup power switching conditions.

[0037] The specific formula for calculating the load switching impact assessment value is as follows:

[0038] ;

[0039] In the formula, C represents the load switching impact assessment value. Indicates the peak value of the starting current. Indicates the steady-state operating current. Indicates the phase angle of the main power supply voltage. This indicates the phase angle of the backup power supply voltage. Indicates the maximum permissible phase difference. Indicates the impedance of the load branch cable. This indicates the impedance reference value.

[0040] In this embodiment, Table 1 is a data table of load switching impact assessment values, listing the key electrical parameters involved in the switching process of five loads and the load switching impact assessment values ​​calculated by the formula. Specific data are as follows: For load F1, the peak starting current is 220A, the steady-state operating current is 55A, the main power supply voltage phase angle is 30°, the standby power supply voltage phase angle is 20°, the maximum allowable phase difference is 60°, the load branch cable impedance is 0.8Ω, and the impedance reference value is 0.5Ω. The calculated load switching impact assessment value is 48.53. For load F2, the peak starting current is 180A, the steady-state operating current is 60A, the main power supply phase angle is 45°, the standby power supply phase angle is 25°, the maximum allowable phase difference is 60°, the cable impedance is 0.6Ω, and the impedance reference value is 0.5Ω. The calculated load switching impact assessment value is 26.40. For load F3, the peak starting current is 250A, the steady-state operating current is... For load F4, the peak starting current is 210 Nm, the steady-state current is 50 Nm, the voltage phase angles are 20° and 10°, the maximum allowable deviation is still 6°, the cable impedance is 0.9 Nm, the reference impedance is 0.5 Nm, and the load switching impact assessment value is 59.27 Nm. For load F5, the peak starting current is 200 Nm, the steady-state current is 65 Nm, the phase angles of the main and backup power supplies are 40° and 30°, the maximum allowable deviation is still 6°, the cable impedance is 0.7 Nm, the reference impedance is 0.5 Nm, and the calculated load switching impact assessment value is 28.02 Nm.

[0041] Table 1. Load Switching Impact Assessment Values

[0042]

[0043] like Figure 3 The diagram shows the candidate load screening and bus impact tolerance determination, displaying the load switching impact assessment values ​​of five loads to be dispatched. The dispatch feasibility determination results for each load are clarified based on the remaining bus impact capacity: the horizontal axis represents the load number, and the vertical axis represents the load switching impact assessment value, used to measure the instantaneous impact intensity that each load may cause to the bus when connected to the main power supply; the bar colors are used to distinguish the determination results, where red indicates that the load switching impact assessment value exceeds the remaining bus impact capacity and is not included in the candidate set for the current dispatch cycle; green indicates that the load switching impact assessment value does not exceed the remaining bus impact capacity and can be included in the candidate set; the black dashed line in the diagram represents the remaining bus impact capacity, used as the basis for judgment. As can be seen from the diagram, the load switching impact assessment values ​​of F1 and F4 are 48.53 and 59.27 respectively, both exceeding the remaining bus impact capacity, and are determined not to be included; the load switching impact assessment values ​​of the remaining loads F2, F3, and F5 are lower than the remaining bus impact capacity, meeting the access conditions. Figure 3It clearly demonstrates the constraint relationship between the load switching impact intensity and the bus dispatching capacity, providing data support for the rational formulation of dispatching strategies.

[0044] In this implementation plan, a complete method for calculating load switching impact assessment values ​​is constructed by jointly calculating core indicators such as peak starting current, steady-state operating current, main power supply voltage phase angle, standby power supply voltage phase angle, load branch cable impedance, and impedance reference value. This method comprehensively quantifies the degree of instantaneous electrical disturbance of the load during the switching process. It accurately reflects the superimposed impact of load starting behavior, power supply synchronization status, and cable impedance characteristics on the busbar, providing quantitative support for subsequent matching of remaining busbar impact capacity and the formulation of scheduling strategies, effectively enhancing the predictability and controllability of the load switching scheduling process.

[0045] Specifically, the steps for selecting a set of candidate loads that meet the constraints, based on the remaining impact capacity of the busbar, are as follows: Within the current executable switching window, the busbar voltage and busbar current are extracted. Combined with the rated voltage of the busbar and the rated power of the equipment, the maximum instantaneous impact load limit that the main power busbar can withstand is calculated by comparing the current busbar current with the maximum allowable current. This is used to characterize the impact capacity boundary of the loads that can be connected. Then, the load switching impact assessment value corresponding to the connected loads is extracted from the scheduling instructions. The load switching impact assessment values ​​of all executed loads are accumulated sequentially to obtain the cumulative impact amount. This is then deducted from the maximum instantaneous impact load limit to obtain the remaining impact capacity of the busbar, reflecting the current busbar carrying capacity margin. The load switching impact assessment value of the load to be scheduled is compared with the remaining impact capacity of the busbar one by one. If the load switching impact assessment value is greater than the remaining impact capacity of the busbar, it is determined that there is a risk of impact overload in the current switching cycle, and the switching operation of the load is suspended. If the load switching impact assessment value is less than or equal to the remaining impact capacity of the busbar, it is determined that the load meets the busbar impact constraint conditions and is included in the candidate load set for subsequent sorting and scheduling optimization processes.

[0046] This implementation scheme introduces a candidate load screening mechanism based on the busbar's remaining impact capacity. It dynamically calculates the busbar's remaining impact capacity by combining the maximum instantaneous impact load limit that the main power busbar can withstand with the cumulative load switching impact assessment value of the already connected loads. The load switching impact assessment value of the load to be dispatched is then compared item by item with the busbar's remaining impact capacity to accurately determine whether the load switching meets the busbar's impact constraint conditions. This approach effectively avoids blindly executing high-impact load switching operations when the busbar's carrying capacity is insufficient, preventing voltage fluctuations, current anomalies, and protection malfunctions caused by excessive busbar impact, and significantly improving the safety, robustness, and adaptability of dispatching decisions to operational boundary constraints.

[0047] Specifically, the steps for extracting the candidate load set, evaluating the switching priority of the loads, and generating a sorting list are as follows: From the candidate load set that currently meets the remaining bus impact capacity constraint, extract the start-up duration and rated power of each load item by item. Add the logarithm of the start-up duration and the rated power plus one to the base 10 to obtain the operational criticality item, which is used to characterize the importance of equipment operation. Then, use the operational criticality item as the numerator and the load switching impact assessment value plus one as the denominator, divide the two to calculate the load switching priority assessment value of each load, which is used to comprehensively reflect the trade-off between its operational criticality and the impact of access impact. Then, sort the loads in the candidate load set according to the load switching priority assessment value from largest to smallest to generate a sorting list for the current switching cycle. The sorting list serves as the basis for constructing the scheduling plan. In the case where there are candidate loads with the same load switching priority assessment value, further extract their start-up duration for comparison, and prioritize the load with the larger start-up duration value to be ranked at the top of the sorting list, thereby ensuring that the scheduling priority division has higher discrimination and physical rationality.

[0048] The specific formula for calculating the load switching priority assessment value is as follows:

[0049] ;

[0050] In the formula, Y represents the load switching priority assessment value. Indicates the duration of startup. The value represents the rated power of the equipment, and C represents the load switching impact assessment value.

[0051] In this embodiment, Table 2 is a load switching priority evaluation value data table, listing the key input parameters and calculated load switching priority evaluation values ​​for the five candidate loads during the priority evaluation process. Specific data are as follows: For candidate load L1, the start-up duration is 4.0, the rated power of the equipment is 15, the load switching impact evaluation value is 2.1, and the corresponding calculated load switching priority evaluation value is 2.18; for candidate load L2, the start-up duration is 7.0, the rated power of the equipment is 30, the load switching impact evaluation value is 3.5, and the load switching priority evaluation value is 2.32; for candidate load L3, the start-up duration is 5.5, the rated power of the equipment is 20, the load switching impact evaluation value is 1.8, and the load switching priority evaluation value is 3.05; for candidate load L4, the start-up duration is 6.2, the rated power of the equipment is 25, the load switching impact evaluation value is 2.7, and the load switching priority evaluation value is 2.56; for candidate load L5, the start-up duration is 3.8, the rated power of the equipment is 10, the load switching impact evaluation value is 1.2, and the load switching priority evaluation value is 2.82.

[0052] Table 2 Load Switching Priority Assessment Values ​​Data Table

[0053]

[0054] like Figure 4 The chart shown is a ranking of candidate load switching priority assessment values, displaying the load switching priority assessment values ​​of five candidate loads. The horizontal axis represents the load number, and the vertical axis represents the corresponding load switching priority assessment value. A higher assessment value indicates a higher execution priority for the load in the current scheduling cycle. The chart shows that load 3 has the highest load switching priority assessment value and is the highest priority scheduling target; followed by load 5, load 4, and load 2. Load 1 has the lowest load switching priority assessment value and is relatively low in scheduling priority within this cycle. Figure 4 It intuitively reflects the ranking criteria obtained by comprehensively considering factors such as start-up duration, equipment rated power and impact constraints. It helps to prioritize the scheduling of loads with higher criticality and lower impact when bus resources are limited, thereby achieving safe and stable multi-source load switching scheduling optimization.

[0055] This implementation plan constructs a load switching priority assessment value calculation method that combines start-up duration, equipment rated power, and load switching impact assessment value. This method quantifies the importance and switching feasibility of loads, ensuring that, given limited remaining bus impact capacity, loads with higher operational criticality and lower impact are prioritized for connection to the main power supply. This avoids resource misallocation and improves the overall benefit ratio and execution stability of the switching plan. Furthermore, by introducing start-up duration as a supplementary ranking condition when load switching priority assessment values ​​are the same, the plan further enhances the analytical capability and accuracy of scheduling decisions, ensuring the rigor of the scheduling logic and the rationality of the hierarchical strategy.

[0056] Specifically, the steps for selecting loads sequentially based on the upper limit of the remaining impact capacity of the busbar to form the current cycle execution plan, constructing scheduling instructions, and encapsulating them into scheduling instruction data packets are as follows: Starting from the first position in the current switching cycle sorting list, the load switching impact assessment value corresponding to each load in the sorting list is accumulated sequentially. Each value is compared round by round with the remaining impact capacity of the busbar calculated based on the operating status of the main power busbar in the current cycle. If the current accumulated total value does not exceed the remaining impact capacity of the busbar, the current load is included in the execution plan set for this cycle, and the cumulative judgment operation for the next load continues. Once the accumulated total value exceeds the remaining impact capacity of the busbar in any round of judgment, it is considered that the scheduling resources for the current cycle are exhausted, and the current cycle scheduling loop is immediately terminated, freezing the execution plan for this cycle. Based on the final determined execution plan result for this cycle, a scheduling instruction set containing scheduling target data fields is constructed. Key parameter information such as the equipment number, building number, switching execution time, and target power type of each selected load is extracted and encapsulated according to a unified data packet structure to form a standardized and structurally complete scheduling instruction data packet. The target power type includes main power and backup power.

[0057] In this implementation plan, dynamic matching control with the remaining impact capacity of the bus is achieved by traversing the sorted list item by item and accumulating the load switching impact assessment value. This effectively avoids problems such as bus voltage drop, current surges, and protection malfunctions caused by excessive impact loads. By extracting key data fields such as equipment number, building number, switching execution time, and target power type, and uniformly encapsulating them into a scheduling instruction data packet, the format standardization and parameter integrity of the scheduling instructions are ensured. This improves the real-time performance, accuracy, and consistency of system control, providing strong support for refined load scheduling in the scenario of primary and backup power switching.

[0058] Specifically, the specific steps for executing scheduling instructions and recording operating parameters before and after the switchover in real time to construct a disturbance assessment input set and assess the degree of load switching disturbance are as follows: Extract the scheduling instruction data packet; based on the equipment number, switchover execution time, and target power type contained in the scheduling instruction data packet, perform a switchover operation on the specified load; and call the edge acquisition terminal to record the electrical operating data during the actual execution process in real time. The electrical operating data includes the bus voltage before the switchover, the bus voltage after the switchover, the bus current before the switchover, the bus current after the switchover, the load power after the switchover, and the actual switchover response time. Construct a disturbance assessment input set through structured field encapsulation; simultaneously, retrieve historical load data with consistent equipment type, rated power, and grid connection method; extract the load power value sequence within its stable operating cycle; calculate the average of the historical power sequence, and record it as the power average; based on the disturbance assessment input set, execute the disturbance assessment input set... Dynamic Calculation: The difference between the bus voltage after switching and the bus voltage before switching is multiplied by the natural logarithm of the rated power of the equipment plus one, and the result is divided by the rated bus voltage to obtain the voltage disturbance term; the difference between the bus current after switching and the bus current before switching is multiplied by the impedance of the load branch cable, and then divided by the rated current of the equipment to obtain the current disturbance term; the difference between the load power after switching and the power mean is divided by the sum of the power mean and the minimum term to obtain the power disturbance term; the minimum term is a positive real number much smaller than one, used to prevent division by zero errors and improve the numerical stability of the evaluation value calculation; the difference between the actual switching response time and the target response time limit is divided by the target response time limit plus one to obtain the response deviation term; the voltage disturbance term, current disturbance term, power disturbance term and response deviation term are squared and added together, and the square root of the sum is finally obtained to obtain the load switching disturbance evaluation value, which serves as a quantitative evaluation index of the load switching disturbance intensity of this round.

[0059] The specific formula for calculating the load switching disturbance assessment value is as follows:

[0060] ;

[0061] In the formula, D represents the load switching disturbance assessment value. This indicates the bus voltage after the switch. This indicates the bus voltage before switching. Indicates the rated power of the equipment. Indicates the rated voltage of the busbar. This indicates the bus current after the switch. Indicates the bus current before switching. Indicates the impedance of the load branch cable. Indicates the rated current of the equipment. Indicates the load power after switching. Indicates the average power. Indicates the actual handover response time. Indicates the target response time limit. Indicates a minus term.

[0062] In this implementation scheme, load switching is driven by scheduling instruction data packets, and the bus voltage before switching, bus voltage after switching, bus current before switching, bus current after switching, load power after switching, and actual switching response time are recorded in real time to construct a structured disturbance assessment input set, ensuring full data traceability of switching behavior. Historical load operation data with consistent equipment type, rated power, and grid connection method are introduced to obtain the steady-state power average, enhancing the comparison benchmark for abnormal disturbances. A multi-factor assessment model integrating voltage disturbance, current disturbance, power disturbance, and response deviation is designed to quantify the degree of load switching disturbance, effectively identify the impact of switching behavior on electrical operating status, ensure accurate perception of disturbance risks during scheduling, and provide objective support for subsequent feedback adjustment mechanisms.

[0063] Specifically, the steps for determining the switching status based on the assessment results and triggering the feedback mechanism to adjust subsequent ranking weights and impact tolerances are as follows: The load switching disturbance assessment value is compared one by one with the disturbance threshold. When the load switching disturbance assessment value is less than or equal to the disturbance threshold, it is determined to be a stable switch, and the load scheduling strategy and its ranking priority generated in the current cycle remain unchanged. When the load switching disturbance assessment value is greater than the disturbance threshold, it is determined to be an abnormal switch, and the scheduling feedback mechanism is automatically triggered: In the next scheduling cycle, the switching ranking weight value corresponding to this load is reduced, so that its ranking is adjusted accordingly. The load is sequentially selected from the candidate load set, and the remaining impact capacity limit of the bus is simultaneously reduced under the corresponding bus number. This causes the frequency of access to the load to decrease and the load switching amplitude to weaken in subsequent scheduling cycles, thereby reducing the impact on the operational stability of the electrical system. At the same time, the load number, load switching disturbance assessment value, disturbance threshold, scheduling execution status and feedback response results corresponding to the current cycle are bound one by one to form a record item, which is uniformly archived in the historical feedback database. This provides historical support for the dynamic correction of load sorting and bus impact capacity allocation strategies in subsequent cycles, realizing the continuous evolution and adaptive optimization of the scheduling strategy.

[0064] In this implementation scheme, a judgment mechanism based on comparing load switching disturbance assessment values ​​with disturbance thresholds is constructed to clearly distinguish between stable and abnormal switching states. A scheduling feedback mechanism is introduced; when a load switching disturbance assessment value exceeds the disturbance threshold, the ranking weight of that load in subsequent scheduling cycles and the remaining impact capacity limit of the corresponding bus are automatically adjusted, effectively constraining the frequency and magnitude of high-impact load access in the scheduling plan. Furthermore, the load switching disturbance assessment value of the current cycle is bound and archived with the scheduling execution status, providing input to the historical feedback database and constructing a closed-loop feedback path for the scheduling model. This mechanism significantly improves the adaptive capability of the scheduling strategy after responding to load switching disturbances, enhances the real-time perception and robust adjustment capability of the scheduling strategy to disturbance changes, and ensures the stability and controllability of the scheduling system during dynamic operation.

[0065] like Figure 2 As shown, the second aspect of this invention provides a virtual power plant building critical load priority allocation system, comprising: a data acquisition and preprocessing module, an impact identification and selection module, a priority ranking plan generation module, and a disturbance monitoring closed-loop feedback module. The data acquisition and preprocessing module is used to acquire load switching scheduling data and perform timing synchronization, anomaly removal, physical consistency verification, and normalization processing on the load switching scheduling data. The impact identification and selection module is used to identify executable switching windows between primary and backup power sources based on the preprocessed load switching scheduling data, quantify the load switching impact index, and, in conjunction with the remaining bus impact capacity, select a set of candidate loads that meet the constraints. The priority ranking plan generation module is used to extract the candidate load set, evaluate the load switching priority, generate a ranking list, select loads sequentially according to the upper limit of the remaining bus impact capacity, form the current cycle execution plan, construct scheduling instructions, and encapsulate them into a scheduling instruction data packet. The disturbance monitoring closed-loop feedback module is used to execute scheduling instructions and record operating parameters before and after switching in real time, construct a disturbance evaluation input set, evaluate the degree of load switching disturbance, determine the switching status based on the evaluation results, and trigger a feedback mechanism to adjust subsequent ranking weights and impact tolerances.

[0066] In this implementation plan, a complete processing chain covering the entire load switching scheduling process is formed by constructing a data acquisition and preprocessing module, an impact identification and selection module, a priority ranking plan generation module, and a disturbance monitoring closed-loop feedback module. In the data acquisition and preprocessing module, the load switching scheduling data undergoes time synchronization, anomaly removal, physical consistency verification, and normalization to ensure data quality and structural compliance. In the impact identification and selection module, based on the main power supply voltage phase angle, standby power supply voltage phase angle, main power supply output frequency, standby power supply output frequency, and the synchronization difference between the main power supply output voltage and standby power supply output voltage, executable switching windows are identified, and candidate load sets are selected by combining the load switching impact assessment value and the remaining bus impact capacity. In the priority ranking plan generation module, a load switching priority assessment value is constructed based on operational critical items and the load switching impact assessment value, generating a ranking list and forming a scheduling instruction data packet according to the remaining bus impact capacity. In the disturbance monitoring closed-loop feedback module, the load switching disturbance assessment value is calculated based on the actual execution records of the operating parameters before and after the switching, the switching status is determined, and a feedback mechanism is triggered to adjust the ranking weights and the remaining bus impact capacity limit. This system achieves highly reliable closed-loop control of load scheduling driven by data, improving the safety, accuracy, and dynamic adaptability of critical load switching processes.

[0067] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0068] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for priority allocation of critical loads in a virtual power plant building, characterized in that, The method comprises the following steps: S1, collecting load switching scheduling data, and performing time sequence synchronization, abnormality elimination, physical consistency verification and normalization processing on the load switching scheduling data; S2, based on the preprocessed load switching scheduling data, identifying executable switching windows between the main and standby power sources, quantifying the switching impact index of the load, combining the remaining impact capacity of the bus, and screening a candidate load set that meets the constraints; The specific steps of quantifying the switching impact index of the load are as follows: Divide the starting current peak value by the steady-state operating current, take the square value, and obtain the current impact term; subtract the standby power supply voltage phase angle from the main power supply voltage phase angle, take the absolute value, divide by the maximum allowed phase difference, add one, and obtain the phase synchronization deviation term; divide the load branch cable impedance by the impedance reference value and add one, and obtain the impedance increase term; multiply the current impact term, the phase synchronization deviation term and the impedance increase term in turn, and obtain the load switching impact evaluation value; S3, extracting the candidate load set, evaluating the switching priority of the load and generating a ranking list, selecting in turn according to the upper limit of the bus remaining impact capacity, forming a current period execution plan, constructing a scheduling instruction and packaging it into a scheduling instruction data packet; The specific steps of extracting the candidate load set, evaluating the switching priority of the load and generating a ranking list are as follows: Extract the candidate load set, add the starting duration to the logarithmic value of the rated power of the equipment plus one in base ten, and obtain the operation criticality term; divide the operation criticality term by the load switching impact evaluation value plus one, and obtain the load switching priority evaluation value; Sort the loads in the candidate load set in descending order of the load switching priority evaluation value to generate a ranking list for the current switching period; when multiple loads have the same load switching priority evaluation value, the load with a longer starting duration is preferentially selected to be placed in the front row; S4, execute the scheduling instruction and record the running parameters before and after the switching in real time, construct a disturbance evaluation input set, evaluate the disturbance degree of the load switching, determine the switching state based on the evaluation result, and trigger a feedback mechanism to adjust the subsequent ranking weight and impact tolerance. 2.The virtual power plant building critical load priority allocation method according to claim 1, characterized in that: The specific steps of collecting the load switching scheduling data and performing time sequence synchronization, abnormality elimination, physical consistency verification and normalization processing on the load switching scheduling data are as follows: Collect the load switching scheduling data, which includes load branch cable impedance, load power, starting current peak value, steady-state operating current, starting duration, bus voltage, bus current, main power supply output voltage, main power supply output frequency, main power supply voltage phase angle, standby power supply output voltage, standby power supply output frequency, standby power supply voltage phase angle and switching response time; and combined with the equipment parameter table and the power plant operation configuration, obtain the equipment number, building number, equipment rated power, equipment rated current, bus rated voltage and target response time limit; The load switching scheduling data is processed by timing synchronization and sampling period coordination through constructing a multi-source clock comparison and dynamic sampling offset compensation method based on power frequency reference; The sampling error is eliminated and the non-physical mutation is corrected for the load switching scheduling data through introducing an abnormal mutation detection method of segmented derivative restriction and jump persistence check; The switching condition rationality test and data record effectiveness screening are performed on the load switching scheduling data through establishing a joint physical verification method of power phase consistency determination rule and load behavior change constraint relationship. The load switching scheduling data is processed by unit standardization and format standardization through constructing a multi-source data coordination method of dimension unified mapping relationship and parameter field reorganization rule. The load switching scheduling data is processed by value range compression and control input normalization through a multi-dimensional interval conversion method of fusion operation boundary normalization mapping and risk grading scale transformation. 3.The virtual power plant building critical load priority allocation method according to claim 1, characterized in that: The specific steps of identifying the executable switching window between the main and standby power sources based on the preprocessed load switching scheduling data are as follows: Based on the preprocessed load switching scheduling data, the main power supply voltage phase angle, standby power supply voltage phase angle, main power supply output frequency, standby power supply output frequency, main power supply output voltage and standby power supply output voltage are extracted, the synchronization difference is calculated respectively, the phase deviation, frequency deviation and voltage deviation are obtained, and the phase deviation threshold, frequency deviation threshold and voltage deviation threshold are compared, the time point when the three deviations do not exceed the corresponding threshold is determined as the synchronous switchable time, and the fixed width sliding window is used to interval aggregate the time period that continuously meets the condition to obtain the executable switching window. The rest of the time is determined as the non-switchable state. 4.The virtual power plant building critical load priority allocation method according to claim 1, wherein: The specific steps of screening the candidate load set that meets the constraint in combination with the bus residual impact capacity are as follows: In the current executable switching window, the maximum instantaneous impact load upper limit that the main power bus can withstand is calculated based on the bus operating state, and the cumulative load switching impact evaluation value of the connected load is subtracted to obtain the bus residual impact capacity; The load switching impact evaluation value is compared with the bus residual impact capacity, when the load switching impact evaluation value is greater than the bus residual impact capacity, it is determined that there is an impact overload risk in the current switching period, and the switching is suspended; When the load switching impact evaluation value is less than or equal to the bus residual impact capacity, it is determined that the bus impact constraint condition is met, and the candidate load set is included.

5. The virtual power plant building critical load priority allocation method of claim 1, wherein: The specific steps of selecting in turn according to the upper limit of the bus residual impact capacity, forming the current period execution plan, constructing the scheduling instruction and packaging it as a scheduling instruction data packet are as follows: From the first position of the ordered list, the load switching impact evaluation value of the corresponding load is accumulated in turn, if the total value does not exceed the bus residual impact capacity, the load is included in the current period execution plan; Once the total value exceeds the bus residual impact capacity, the current period scheduling loop is terminated; Based on the final determined current period execution plan, the scheduling instruction set is constructed, and the device number, building number, switching execution time and target power type of each load are packaged as a scheduling instruction data packet. 6.The virtual power plant building critical load priority allocation method according to claim 1, wherein: The specific steps of executing the dispatching instruction and recording the running parameters before and after the switching in real time, constructing the disturbance evaluation input set, and evaluating the disturbance degree of the load switching are as follows: Extract the dispatching instruction data packet, execute the load switching operation, and record the electrical operation data in the actual execution process in real time, including the bus voltage before and after the switching, the bus current before and after the switching, the load power after the switching, and the actual switching response time, to construct the disturbance evaluation input set; meanwhile, the historical load power of the device type, rated power, and consistent access mode during the steady-state operation is called to calculate the power mean value; Based on the disturbance evaluation input set, the difference between the bus voltage after the switching and the bus voltage before the switching is multiplied by the natural logarithm of the device rated power plus one, and then divided by the bus rated voltage to obtain the voltage disturbance term; the difference between the bus current after the switching and the bus current before the switching is multiplied by the load branch cable impedance, and then divided by the device rated current to obtain the current disturbance term; the difference between the load power after the switching and the power mean value is divided by the sum of the power mean value and the minimum term to obtain the power disturbance term; the difference between the actual response time and the target response time limit is divided by the target response time limit plus one to obtain the response deviation term; the voltage disturbance term, the current disturbance term, the power disturbance term, and the response deviation term are squared and added, and then squared to obtain the load switching disturbance evaluation value. 7.The virtual power plant building critical load priority allocation method according to claim 1, wherein: The specific steps of determining the switching state based on the evaluation result and triggering the feedback mechanism to adjust the subsequent sequencing weight and impact tolerance are as follows: The load switching disturbance evaluation value is compared with the disturbance threshold value, when the load switching disturbance evaluation value is less than or equal to the disturbance threshold value, it is determined as stable switching, and the current dispatching strategy is maintained; when the load switching disturbance evaluation value is greater than the disturbance threshold value, it is determined as abnormal switching, and the dispatching feedback mechanism is triggered: the execution priority of the load is lowered in the next period, and the remaining impact capacity limit value of the corresponding bus is reduced; The load switching disturbance evaluation value of the current period is bound and archived with the dispatching execution result and stored in the historical feedback database for calling by the dynamic adjustment strategy of the load sequencing and impact allocation in the subsequent period.

8. A virtual power plant building critical load priority allocation system for the virtual power plant building critical load priority allocation method of any one of claims 1-7, characterized in that: It comprises: a data acquisition preprocessing module, an impact identification and optimization screening module, a priority sequencing plan generation module, and a disturbance monitoring closed-loop feedback module, wherein: The data acquisition preprocessing module is used to collect the load switching dispatching data, and perform time sequence synchronization, abnormality elimination, physical consistency verification, and normalization processing on the load switching dispatching data; The impact identification and optimization screening module is used to identify the executable switching window between the main and standby power sources based on the preprocessed load switching dispatching data, quantify the switching impact index of the load, and screen the candidate load set meeting the constraints in combination with the remaining impact capacity of the bus; The priority sequencing plan generation module is used to extract the candidate load set, evaluate the switching priority of the load, and generate a sequencing list, sequentially select according to the upper limit of the bus remaining impact capacity to form the current period execution plan, construct the dispatching instruction, and package it as a dispatching instruction data packet. The disturbance monitoring closed-loop feedback module is configured to execute the dispatching instruction, record the operation parameters before and after the switching in real time, construct a disturbance evaluation input set, evaluate the degree of the load switching disturbance, determine the switching state based on the evaluation result, and trigger a feedback mechanism to adjust the subsequent sequencing weight and impact tolerance.

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