Virtual power plant building key load priority distribution method and system

Abstract

The invention discloses a virtual power plant building key load priority distribution method and system, and relates to the technical field of load dispatching management. The virtual power plant building key load priority distribution method comprises the following steps: S1, acquiring load switching scheduling data, and preprocessing the load switching scheduling data; s2, identifying an executable switching window between the main power supply and the standby power supply, quantifying a switching impact index of a load, and screening a candidate load set; s3, evaluating the switching priority of the load and generating a sorting list, and sequentially selecting according to the upper limit of the residual impact capacity of the bus to form a current period execution plan; and S4, executing a scheduling instruction, recording operation parameters before and after switching in real time, constructing a disturbance evaluation input set, evaluating a load switching disturbance degree, judging a switching state based on an evaluation result, and triggering a feedback mechanism to adjust a subsequent sorting weight and an impact tolerance. The problem of bus impact caused by concurrent access of multiple loads in the main and standby power supply switching process 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 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.

[0008] Technical scheme 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.

[0009] Furthermore, the specific steps of collecting load switching scheduling data and performing timing synchronization, anomaly 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 includes load branch cable impedance, load power, starting current peak, 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, backup power supply output voltage, backup power supply output frequency, backup power supply voltage phase angle and switching response time; and combining the equipment parameter table with the power plant operation configuration to obtain the equipment number, building number, equipment rated power, equipment rated current, bus rated voltage and target response time limit; by constructing a multi-source clock comparison and dynamic sampling offset based on the power supply frequency reference The compensation method is used to coordinate the timing synchronization and sampling period of the load switching scheduling data; by introducing the abnormal mutation detection method of piecewise derivative restriction and jump continuity verification, the sampling error elimination and non-physical mutation correction processing of the load switching scheduling data are carried out; by establishing a joint physical verification method of power supply phase consistency judgment rules and load behavior change constraint relationship, the load switching scheduling data is tested for the rationality of switching conditions and the validity screening of data records; by constructing a multi-source data coordination method of dimensional unified mapping relationship and parameter field reorganization rules, the unit standardization and format normalization processing of the load switching scheduling data are carried out; by integrating the multi-dimensional interval conversion method of operation boundary normalization mapping and risk grading scale transformation, the load switching scheduling data is compressed and the control input is normalized.

[0010] Furthermore, based on the pre-processed load switching scheduling data, the specific steps for identifying the executable switching window between the main and backup power supplies are as follows: based on the pre-processed load switching scheduling data, the main power supply voltage phase angle, the backup power supply voltage phase angle, the main power supply output frequency, the backup power supply output frequency, the main power supply output voltage and the backup power supply output voltage are extracted, and the synchronization difference is calculated respectively to obtain the phase deviation, frequency deviation and voltage deviation, and compared with the phase deviation threshold, frequency deviation threshold and voltage deviation threshold. The moment when the three deviations do not exceed the corresponding threshold is determined to be a synchronous switchable moment, and a fixed-width sliding window is used to perform interval aggregation on the time periods that continuously meet the conditions to obtain the executable switching window; the remaining moments are determined to be non-switchable states.

[0011] 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.

[0012] 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.

[0013] Further, the specific steps of extracting the candidate load set, evaluating the switching priority of the load, and generating the sorting list are as follows: the running criticality term is obtained by adding the starting duration to the base-ten logarithm value of the device rated power plus one; the load switching priority evaluation value is obtained by dividing the running criticality term by the load switching impact evaluation value plus one; the loads in the candidate load set are sorted in descending order of the load switching priority evaluation value to generate the sorting 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.

[0014] Further, the specific steps of extracting the candidate load set, evaluating the switching priority of the load, and generating the sorting list are as follows: the running criticality term is obtained by adding the starting duration to the base-ten logarithm value of the device rated power plus one; the load switching priority evaluation value is obtained by dividing the running criticality term by the load switching impact evaluation value plus one; the loads in the candidate load set are sorted in descending order of the load switching priority evaluation value to generate the sorting 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.

[0015] 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.

[0016] 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 keeping 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.

[0017] 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 supplies 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.

[0018] Advantages The present application has the following advantages: (1) The virtual power plant building key load priority allocation method and system establishes a synchronization determination mechanism based on the differences in 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 supply switching, and significantly enhances the safety of switching action and the stability of system operation.

[0019] (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 supply 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.

[0020] (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.

[0021] (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

[0022] Figure 1 Flow chart of virtual power plant building key load priority allocation method; Figure 2 Structure diagram of virtual power plant building key load priority allocation system; Figure 3 Candidate load switching priority evaluation value sorting diagram; Figure 4 Candidate load screening and bus impact tolerance determination diagram. DETAILED DESCRIPTION

[0023] 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 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.

[0024] 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 a 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.

[0025] 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 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 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 subjected to time synchronization and sampling period coordination processing; 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 subjected to sampling error elimination and non-physical mutation correction processing, 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, to perform 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, integrating data standard field table and unit conversion matrix, the load switching scheduling data is subjected to unit standardization and format standardization processing, 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 subjected to value domain compression and control input normalization processing, to enhance the response consistency and calculation convergence performance of the model to abnormal disturbance.

[0026] In the embodiment, by performing timing synchronization, abnormality elimination, physical consistency verification and normalization processing on the load switching scheduling data, the multi-source unified expression of the 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 is realized, and 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 limit in multi-model input are ensured. The processing process effectively improves the data integrity, timing alignment accuracy and input parameter specification, provides a high-confidence data basis for subsequent switching impact evaluation, load prioritization and dispatching instruction construction, and significantly enhances the accuracy, robustness and adaptive ability of the dispatching model.

[0027] Specifically, 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, the main power voltage phase angle, standby power voltage phase angle, main power output frequency, standby power output frequency, main power output voltage, standby power output voltage are extracted, and the difference value operation and numerical alignment processing are performed respectively, the synchronization angle difference between the main power voltage phase angle and the standby power voltage phase angle is calculated, and the phase deviation is obtained; the frequency difference between the main power output frequency and the standby power output frequency is calculated, and the frequency deviation is obtained; the amplitude difference between the main power output voltage and the standby power output voltage is calculated, and the voltage deviation is obtained. The phase deviation and the phase deviation threshold, the frequency deviation and the frequency deviation threshold are compared point by point, and the voltage deviation and the voltage deviation threshold are strictly compared, and the time points when the three deviations meet the condition of not exceeding the corresponding threshold are marked as synchronous switchable time points. A fixed-width sliding window method is used to aggregate the continuous synchronous switchable time points in time to form a complete time interval as the executable switching window in the current period; all other time points that do not meet the synchronization determination condition are determined as non-switchable state, and the switching operation instruction is prohibited to avoid potential power out-of-sync risk.

[0028] In the embodiment, by introducing a synchronization difference determination method based on the phase angle of the main power supply voltage, the phase angle of the backup power supply voltage, the output frequency of the main power supply, the output frequency of the backup power supply, the output voltage of the main power supply and the output voltage of the backup power supply, combined with the constraint determination of the phase deviation threshold, the frequency deviation threshold and the voltage deviation threshold, and using the fixed width sliding window algorithm to aggregate the time points that continuously satisfy the synchronization condition, the executable switching window between the main and backup power supplies is effectively identified. The method ensures that the dispatching instruction is only executed in the time period when the synchronization of the three indicators of voltage phase angle, output frequency and output voltage meets the requirements, significantly reduces the voltage disturbance, frequency fluctuation and load access impact caused by non-synchronous switching, and is beneficial to improving the safety, stability and execution accuracy of the load switching dispatching process.

[0029] Specifically, the specific steps of quantifying the switching impact indicators of the load are as follows: first, the numerical ratio of the collected starting current peak value and the steady-state running current is calculated, and the starting current peak value is divided by the steady-state running current to obtain the square value, which represents the degree of current surge during starting; second, the phase angle of the main power supply voltage and the phase angle of the backup power supply voltage are extracted, the absolute value of the numerical difference is calculated, and then divided by the maximum allowed phase difference threshold, and the obtained ratio is added by one to form the phase synchronization deviation item for measuring the degree of matching of the power supply phase; third, the actual measured load branch cable impedance and the impedance reference value are subjected to ratio operation, and the calculation result is added by one to construct the impedance amplification item for reflecting the relative impedance amplification of the branch; wherein the impedance reference value is a fixed impedance parameter for normalizing the evaluation result of the load branch cable impedance, which is determined according to the grid wiring structure, cable laying specification and load type configuration, and serves as a unified scale for various load switching impact ratio calculations. Finally, the current impact item, the phase synchronization deviation item and the impedance amplification item are sequentially multiplied in a fixed order to obtain the load switching impact evaluation value for measuring the instantaneous electrical disturbance influence degree of the target load under the current main and backup power supply switching condition.

[0030] wherein the specific calculation formula of the load switching impact evaluation value is: ; In the formula, C represents the load switching impact evaluation value, represents the starting current peak value, represents the steady-state running current, represents the phase angle of the main power supply voltage, represents the phase angle of the backup power supply voltage, represents the maximum allowed phase difference, represents the load branch cable impedance, represents the impedance reference value.

[0031] In this embodiment, Table 1 is a load switching impact assessment value data table, which lists the key electrical parameters involved in the switching process of 5 loads and the load switching impact assessment values ​​calculated by the formula. The specific data are as follows: for load F1, the starting current peak is 220, the steady-state operating current is 55, the main power supply voltage phase angle is 30, the backup power supply voltage phase angle is 20, the maximum allowable phase difference is 60, the load branch cable impedance is 0.8, the impedance reference value is 0.5, and the calculated load switching impact assessment value is 48.53; for load F2, the starting current peak is 180, the steady-state operating current is 60, the main power supply phase angle is 45, the backup power supply phase angle is 25, the maximum allowable phase difference is 60, the cable impedance is 0.6, the impedance reference value is 0.5, and the calculated load switching impact assessment value is 26.40; for load F3, the starting current peak is 250, the steady-state operating current is 70, the phase angles of the main and standby power supplies are 35 and 30 respectively, the maximum allowable phase difference is 60, the cable impedance is 1.0, the reference impedance is 0.5, and the load switching impact assessment value is 41.45; for load F4, the starting current peak is 210, the steady-state current is 50, the voltage phase angles are 20 and 10 respectively, the maximum allowable deviation is still 60, the cable impedance is 0.9, the reference value is 0.5, and the load switching impact assessment value is 59.27; for load F5, the starting current peak is 200, the steady-state current is 65, the phase angles of the main and standby power supplies are 40 and 30 respectively, the maximum allowable deviation is still 60, the cable impedance is 0.7, the reference impedance is 0.5, and the calculated load switching impact assessment value is 28.02.

[0032] Table 1 Load switching impact assessment value data table like Figure 3 The figure below shows the candidate load screening and bus surge tolerance determination diagram. It displays the load switching surge assessment values ​​of five loads to be dispatched and clarifies the dispatch feasibility determination results for each load based on the bus's remaining surge capacity. The horizontal axis represents the load number, and the vertical axis represents the load switching surge assessment value, which measures the intensity of the instantaneous surge each load may cause on the bus when connected to the main power source. The column colors distinguish the determination results. Red indicates a load switching surge assessment value exceeding the bus's remaining surge capacity and is excluded from the candidate set for the current dispatch cycle; green indicates a load switching surge assessment value within the bus's remaining surge capacity and is eligible for inclusion. The black dashed line in the figure represents the bus's remaining surge capacity, which serves as the basis for determination. As can be seen from the figure, the load switching surge assessment values ​​of F1 and F4 are 48.53 and 59.27, respectively, both exceeding the bus's remaining surge capacity and ineligible for inclusion. The remaining load switching surge assessment values ​​of F2, F3, and F5 are below the bus's remaining surge capacity, meeting the inclusion criteria. Figure 3The constraint relationship between the load switching impact strength and the bus scheduling capability is clearly shown, thereby providing data support for reasonable formulation of the scheduling strategy.

[0033] In the embodiment, a complete load switching impact evaluation value calculation method is constructed by joint operation of core indexes such as the starting current peak value, the steady-state operating current, the main power supply voltage phase angle, the standby power supply voltage phase angle, the load branch cable impedance and the impedance reference value, and the like, so as to comprehensively quantify the instantaneous electrical disturbance degree of the load in the switching process. The method can accurately reflect the superimposed influence of the load starting behavior, the power supply synchronization state and the cable impedance characteristics on the bus impact, thereby providing quantitative support for subsequent bus residual impact capacity matching and scheduling strategy formulation, and effectively enhancing the predictability and controllability of the load switching scheduling process.

[0034] Specifically, 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 bus voltage and the bus current are extracted, the bus rated voltage and the equipment rated power are combined, the maximum instantaneous impact load upper limit allowed by the main power supply bus is calculated by comparing the current bus current with the maximum allowed current, which is used to represent the impact capacity boundary of the accessible load; the load switching impact evaluation value corresponding to the accessed load is extracted from the scheduling instruction, the load switching impact evaluation values of all executed loads are sequentially added, the cumulative impact quantity is obtained, and the bus residual impact capacity reflecting the capacity margin of the current bus is obtained by deducting the maximum instantaneous impact load upper limit; the load switching impact evaluation value of the load to be scheduled is compared with the bus residual impact capacity one by one, if 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 operation of the load is suspended; if the load switching impact evaluation value is less than or equal to the bus residual impact capacity, it is determined that the load satisfies the bus impact constraint condition, and it is included in the candidate load set for subsequent sorting and scheduling optimization process calling.

[0035] In the embodiment, by introducing the candidate load screening mechanism based on the bus residual impact capacity, in combination with the maximum instantaneous impact load upper limit allowed by the main power supply bus and the cumulative load switching impact evaluation value of the accessed load, the bus residual impact capacity is dynamically calculated, and the load switching impact evaluation value of the load to be scheduled is compared with the bus residual impact capacity item by item, so as to accurately determine whether the load switching satisfies the bus impact constraint condition. This method can effectively avoid blindly performing high-impact load switching operation when the bus carrying capacity is insufficient, prevent voltage fluctuation, current abnormality and protection misoperation caused by bus impact overrun, and significantly improve the safety, robustness and operation boundary constraint adaptability of the scheduling decision.

[0036] Specifically, the specific steps of extracting the candidate load set, evaluating the switching priority of the load and generating the ranking list are as follows: from the candidate load set currently satisfying the bus residual impact capacity constraint, the starting duration of each load and the rated power of the device are extracted item by item, the starting duration and the rated power of the device are added to obtain the running criticality item, and the running criticality item is obtained to represent the importance of the device running; then, the running criticality item is taken as the numerator, and the value of the load switching impact evaluation value plus one is taken as the denominator, and the load switching priority evaluation value of each load is calculated to comprehensively reflect the trade-off relationship between the running criticality and the access impact; then, the candidate load set is sorted according to the load switching priority evaluation value from large to small to generate the ranking list of the current switching period, and the ranking list is taken as the basis for constructing the scheduling plan; in the case that the load switching priority evaluation values of the candidate loads are completely the same, the starting duration is further extracted for comparison, and the load with a larger starting duration value is preferentially selected to be placed in the front row of the ranking list, so as to ensure that the scheduling priority division has higher resolution and physical rationality.

[0037] wherein the specific calculation formula of the load switching priority evaluation value is: ; In the formula, Y represents the load switching priority evaluation value, represents the starting duration, represents the rated power of the device, and C represents the load switching impact evaluation value.

[0038] In the embodiment, Table 2 is a load switching priority evaluation value data table, which lists the key input parameters in the priority evaluation process and the calculated load switching priority evaluation values of the five candidate loads. The specific data are as follows: for the candidate load L1, the starting duration is 4.0, the rated power of the device is 15, the load switching impact evaluation value is 2.1, and the calculated load switching priority evaluation value is 2.18; for the candidate load L2, the starting duration is 7.0, the rated power of the device is 30, the load switching impact evaluation value is 3.5, and the load switching priority evaluation value is 2.32; for the candidate load L3, the starting duration is 5.5, the rated power of the device is 20, the load switching impact evaluation value is 1.8, and the load switching priority evaluation value is 3.05; for the candidate load L4, the starting duration is 6.2, the rated power of the device is 25, the load switching impact evaluation value is 2.7, and the load switching priority evaluation value is 2.56; and for the candidate load L5, the starting duration is 3.8, the rated power of the device is 10, the load switching impact evaluation value is 1.2, and the load switching priority evaluation value is 2.82.

[0039] Table 2 Load switching priority evaluation value data table As Figure 4 shown, the load switching priority evaluation value ranking diagram for candidate loads shows the load switching priority evaluation values of 5 candidate loads, the horizontal axis represents the load number, and the vertical axis represents the corresponding load switching priority evaluation value. The higher the evaluation value, the higher the priority of the load in the current scheduling period. As can be seen from the figure: the load switching priority evaluation value of load 3 is the highest, and it is the most prioritized scheduling object; followed by load 5, load 4 and load 2, and the load switching priority evaluation value of load 1 is the lowest, and the scheduling priority in this period is relatively late. Figure 4 Intuitively reflects the ranking basis obtained by comprehensively considering the starting duration, equipment rated power and impact constraints, and is helpful to prioritize scheduling of loads with higher criticality and smaller impact under the condition of limited bus resources, thereby realizing safe and stable multi-source load switching scheduling optimization.

[0040] In the embodiment, by constructing a load switching priority evaluation value calculation method combining starting duration, equipment rated power and load switching impact evaluation value, the importance and switching feasibility of the load are quantitatively reflected, ensuring that under the premise of limited remaining impact capacity of the bus, the load with higher running criticality and lower impact is prioritized to access the main power source, avoiding resource mismatch and improving the overall benefit ratio and execution stability of the switching plan. At the same time, by introducing the starting duration as a supplementary condition for ranking when the load switching priority evaluation value is the same, the discrimination ability and accuracy of the scheduling decision are further enhanced, and the rigor of the scheduling logic and the rationality of the hierarchical strategy are guaranteed.

[0041] Specifically, according to the upper limit of the remaining impact capacity of the bus, the current period execution plan is formed, and the specific steps of constructing the scheduling instruction and packaging it into the scheduling instruction data packet are as follows: from the first position of the current switching period ranking list, the load switching impact evaluation value corresponding to each load in the ranking list is accumulated in turn, and each item is compared with the remaining impact capacity of the bus calculated based on the running state of the main power bus in the current period. If the current cumulative total value does not exceed the remaining impact capacity of the bus, the current load is included in the current period execution plan set, and the next load cumulative judgment operation is continued. Once the cumulative total value exceeds the remaining impact capacity of the bus in any round of judgment, it is considered that the scheduling resources of the current period are exhausted, and the current scheduling cycle is terminated immediately, and the current period execution plan is frozen. Based on the final determined current period execution plan result, the scheduling instruction set containing the scheduling target data field is constructed, the device number, the building number to which it belongs, the switching execution time and the target power type of each selected load are extracted. Key parameter information, encapsulated according to the unified data message structure, to form a scheduling instruction data packet with a standard format and complete structure. The target power type includes the main power source and the standby power source.

[0042] In this embodiment, through the cumulative judgment of the item-by-item traversal based on the sorted list and the load switching impact evaluation value, dynamic matching control with the remaining impact capacity of the bus is realized, effectively avoiding the problems of bus voltage drop, current surge and protection misoperation caused by impact load over-limit; By extracting the device number, building number, switching execution time and target power type and other key data fields, and uniformly packaging them into a dispatching instruction data packet, the format specification and parameter integrity of the dispatching instruction are ensured, and the real-time performance, accuracy and system control consistency of the dispatching execution are improved, providing strong support for fine load scheduling in the standby power supply switching scenario.

[0043] Specifically, the specific steps of executing the dispatching instruction and recording the running parameters before and after switching in real time to build a disturbance evaluation input set and evaluate the disturbance degree of load switching are as follows: extracting the dispatching instruction data packet, according to the device number, switching execution time and target power type contained in the dispatching instruction data packet, executing the switching operation on the specified load, and calling the edge collection terminal to record the electrical operation data in the actual execution process in real time, the electrical operation data including the bus voltage before switching, the bus voltage after switching, the bus current before switching, the bus current after switching, the load power after switching and the actual switching response time, and building a disturbance evaluation input set through structured field packaging; At the same time, historical load data with consistent device type, device rated power and grid access mode are called, and the load power value sequence is extracted in its stable operation period, the mean value of the historical power sequence is calculated and recorded as power mean value; Based on the disturbance evaluation input set, the disturbance item calculation is performed: the difference between the bus voltage after switching and the bus voltage before switching is multiplied by the natural logarithm of the device rated power plus one, and the result is divided by the bus rated voltage to obtain the voltage disturbance item; the difference between the bus current after switching and the bus current before switching is multiplied by the cable impedance of the load branch, and then divided by the device rated current to obtain the current disturbance item; the difference between the load power after switching and the power mean value is divided by the sum of the power mean value and the minimum item to obtain the power disturbance item; wherein the minimum item is a positive real number much smaller than one, which is used to prevent division by zero error 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 item; the voltage disturbance item, the current disturbance item, the power disturbance item and the response deviation item are squared and added respectively, and the square root of the sum is finally obtained to obtain the load switching disturbance evaluation value as the quantitative evaluation index of the load switching disturbance intensity of this round.

[0044] wherein the specific calculation formula of the load switching disturbance evaluation value is: ; In the formula, D represents the load switching disturbance evaluation value, Vpost represents the bus voltage after switching, Vpre represents the bus voltage before switching, denotes device rated power, denotes bus rated voltage, denotes post-switch bus current, denotes pre-switch bus current, denotes load branch cable impedance, denotes device rated current, denotes post-switch load power, denotes power average, denotes actual switching response time, denotes target response time limit, denotes minimal term.

[0045] In the embodiment, the load switching execution is driven by dispatching instruction data packets, and the bus voltage before switching, the bus voltage after switching, the bus current before switching, the bus current after switching, the load power after switching, and the actual switching response time are recorded in real time to construct a structured disturbance evaluation input set, ensuring that the full data of the switching behavior are left as traces; the historical load operation data consistent with the device type, the device rated power, and the grid access mode are introduced to obtain the steady-state power average, enhancing the comparison benchmark for abnormal disturbances; a multi-factor evaluation model integrating the voltage disturbance term, the current disturbance term, the power disturbance term, and the response deviation term is designed to quantitatively evaluate the load switching disturbance degree, effectively identify the influence intensity of the switching behavior on the electrical operation state, and ensure the accurate perception of the disturbance risk in the dispatching process, providing objective support for the subsequent feedback regulation mechanism.

[0046] Specifically, the specific steps of determining the switching state based on the evaluation results 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 one by one, when the load switching disturbance evaluation value is less than or equal to the disturbance threshold, it is determined as stable switching, and the load dispatching strategy and its sequencing priority generated in the current period are kept unchanged; when the load switching disturbance evaluation value is greater than the disturbance threshold, it is determined as an abnormal switching state, and the dispatching feedback mechanism is automatically triggered: in the next dispatching period, the switching sequencing weight value corresponding to the load is decremented to make it delay in the candidate load set, and the remaining impact capacity limit value of the corresponding bus number is also reduced synchronously, so that the load access frequency in the subsequent dispatching period is reduced and the load cut-in amplitude is weakened, thereby reducing the influence on the electrical system operation stability; at the same time, the load number corresponding to the current period, the load switching disturbance evaluation value, the disturbance threshold, the dispatching execution state, and the feedback response result are bound one by one to form a record item, which is uniformly archived in the historical feedback database, providing historical support basis for the dynamic modification of the load sequencing and bus impact capacity allocation strategy in the subsequent period, realizing the continuous evolution and adaptive optimization of the dispatching strategy.

[0047] In the embodiment, by constructing a judgment mechanism based on the comparison of the load switching disturbance evaluation value and the disturbance threshold value, the stable switching state and the abnormal switching state are clearly divided, and a scheduling feedback mechanism is introduced. When the load switching disturbance evaluation value exceeds the disturbance threshold value, the scheduling feedback mechanism automatically adjusts the sorting weight of the load in the subsequent scheduling period and the remaining impact capacity limit of the corresponding bus, so that the access frequency and amplitude of the high impact load are effectively constrained in the scheduling plan. In addition, the load switching disturbance evaluation value of the current period is bound and archived with the scheduling execution state, providing input for the historical feedback database, and a closed-loop feedback path of the scheduling model is constructed. The mechanism significantly improves the adaptive ability of the scheduling strategy after the response of the load switching disturbance, enhances the real-time perception ability and robust adjustment ability of the scheduling strategy to disturbance changes, and ensures the stability and controllability of the scheduling system in the dynamic operation process.

[0048] As shown in Figure 2 The second aspect of the application provides a virtual power plant building critical load priority allocation system, which comprises a data acquisition and preprocessing module, an impact identification and optimization screening module, a priority sorting plan generation module, and a disturbance monitoring and closed-loop feedback module. The data acquisition and preprocessing module is used to acquire load switching scheduling data and perform 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 to identify the executable switching window between the main and standby power sources based on the preprocessed load switching scheduling data, quantify the switching impact index of the load, and screen the candidate load set that meets the constraints in combination with the remaining impact capacity of the bus. The priority sorting plan generation module is used to extract the candidate load set, evaluate the switching priority of the load and generate a sorting list, select in turn according to the upper limit of the remaining impact capacity of the bus, form a current period execution plan, construct a scheduling instruction and encapsulate it as a scheduling instruction data packet. The disturbance monitoring and closed-loop feedback module is used to execute the scheduling instruction and record the running parameters before and after switching in real time, construct a disturbance evaluation input set, evaluate the degree of load switching disturbance, determine the switching state based on the evaluation result, and trigger a feedback mechanism to adjust the subsequent sorting weight and impact limit.

[0049] In the embodiment, a complete processing link covering the whole process of load switching scheduling is formed by constructing a data acquisition preprocessing module, an impact identification and preferred screening module, a priority scheduling generation module and a disturbance monitoring closed-loop feedback module. In the data acquisition preprocessing module, time synchronization, abnormality elimination, physical consistency verification and normalization processing are performed on the load switching scheduling data to ensure data quality and structure specification; in the impact identification and preferred screening module, based on the difference between the synchronization of the voltage phase angle of the main power supply, the voltage phase angle of the standby power supply, the output frequency of the main power supply, the output frequency of the standby power supply, the output voltage of the main power supply and the output voltage of the standby power supply, the executable switching window is identified, and the candidate load set is screened in combination with the load switching impact evaluation value and the bus residual impact capacity; in the priority scheduling generation module, based on the running criticality item and the load switching impact evaluation value, the load switching priority evaluation value is constructed, the sorting list is generated, and the scheduling instruction data packet is formed according to the bus residual impact capacity; in the disturbance monitoring closed-loop feedback module, the load switching disturbance evaluation value is calculated according to the running parameters before and after the actual execution record, the switching state is judged, and the feedback mechanism is triggered to adjust the sorting weight and the bus residual impact capacity limit value. The system realizes high-reliability load scheduling closed-loop control under data driving, and improves the safety, accuracy and dynamic adaptability of the key load switching process.

[0050] It should be noted that the relational terms herein such as first and second and the like are used solely to distinguish one entity or action from another, without necessarily requiring or implying any such actual relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0051] The preferred embodiments of the application disclosed above are only used to help explain the application. The preferred embodiments do not describe all of the details of the application, nor limit the application to the specific embodiments described. Obviously, many modifications and variations can be made to the application based on the content of the specification. The embodiments are selected and described in the specification to better explain the principles and practical application of the application, so that those skilled in the art can well understand and utilize the application. The application is limited only by the claims and their full scope and equivalents.

Claims

1. A method for allocating priority of critical loads in virtual power plant buildings, characterized in that: The following steps are involved: S1, collects load switching scheduling data and performs timing synchronization, anomaly elimination, physical consistency check and normalization on the load switching scheduling data; S2, based on the pre-processed load switching scheduling data, identifies the executable switching window between the primary and backup power sources, quantifies the load switching impact index, and screens the candidate load set that meets the constraints based on the bus residual impact capacity; S3: Extract the candidate load set, evaluate the load switching priority and generate a sorted list. Select the loads in sequence according to the upper limit of the bus remaining impact capacity, form the current cycle execution plan, construct the scheduling instruction and encapsulate it into a scheduling instruction data packet; S4, executes the scheduling instructions and records the operating parameters before and after the switching in real time, builds a disturbance assessment input set, evaluates the degree of load switching disturbance, determines the switching state based on the evaluation results, and triggers the feedback mechanism to adjust the subsequent sorting weight and impact tolerance.

2. The method for allocating priority of critical loads of a virtual power plant building according to claim 1, characterized in that: The specific steps of collecting load switching scheduling data and performing timing synchronization, anomaly elimination, physical consistency verification and normalization processing on the load switching scheduling data are as follows: Collect load switching scheduling data, including load branch cable impedance, load power, starting current peak, 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, backup power supply output voltage, backup power supply output frequency, backup power supply voltage phase angle, and switching response time; and combine the equipment parameter table with the power plant operation configuration to obtain the equipment number, building number, equipment rated power, equipment rated current, bus rated voltage, and target response time limit; By constructing a multi-source clock comparison and dynamic sampling offset compensation method based on power frequency reference, the load switching scheduling data is synchronized with the sampling period coordination process. By introducing an abnormal mutation detection method with piecewise derivative restriction and jump continuity verification, the load switching scheduling data is subjected to sampling error elimination and non-physical mutation correction. By establishing a joint physical verification method of power phase consistency judgment rules and load behavior change constraint relationships, the load switching scheduling data is tested for the rationality of switching conditions and the validity of data records. By constructing a multi-source data coordination method with unified dimension mapping and parameter field reorganization rules, the unit and format of load switching scheduling data are standardized. Through the multi-dimensional interval transformation method that integrates the normalized mapping of operation boundaries and the transformation of risk grading scale, the load switching scheduling data is compressed in the value range and the control input is normalized.

3. The method for allocating priority of critical loads of a virtual power plant building according to claim 1, characterized in that: The specific steps of identifying the executable switching window between the primary and backup power sources based on the pre-processed load switching scheduling data are as follows: Based on the pre-processed load switching scheduling data, 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 are extracted, and the synchronization difference is calculated respectively to obtain the phase deviation, frequency deviation and voltage deviation. These are compared with the phase deviation threshold, frequency deviation threshold and voltage deviation threshold. The moment when all three deviations do not exceed the corresponding threshold is determined to be the synchronous switching moment. A fixed-width sliding window is used to perform interval aggregation on the time periods that continuously meet the conditions to obtain the executable switching window. The rest of the time is determined to be a non-switchable state.

4. The method for allocating priority of critical loads of a virtual power plant building according to claim 1, characterized in that: The specific steps of quantifying the switching impact index of the load are as follows: Divide the starting current peak by the steady-state operating current and take the square of the value to obtain the current impact term; subtract the absolute value of the backup power supply voltage phase angle from the main power supply voltage phase angle, divide the result by the maximum allowable phase difference, and add one to the result to obtain the phase synchronization deviation term; divide the load branch cable impedance by the impedance reference value and add one to obtain the impedance amplification term; multiply the current impact term, phase synchronization deviation term and impedance amplification term in sequence to obtain the load switching impact assessment value.

5. The method for allocating priority of critical loads of a virtual power plant building according to claim 1, characterized in that: The specific steps of screening the candidate load set that meets the constraints in combination with the remaining impact capacity of the bus are as follows: Within the currently executable switching window, the upper limit of the maximum instantaneous impact load that the main power bus is allowed to withstand is calculated based on the bus operating status, and the cumulative load switching impact assessment value of the connected load is subtracted to obtain the bus residual impact capacity; the load switching impact assessment value is compared with the bus residual impact capacity. When the load switching impact assessment value is greater than the bus residual impact capacity, it is determined that there is an impact overload risk in the current switching cycle and the switching is temporarily suspended; when the load switching impact assessment 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 load is included in the candidate load set.

6. The method for allocating priority of critical loads of a virtual power plant building according to claim 1, characterized in that: The specific steps of extracting a candidate load set, evaluating the load switching priority, and generating a sorted list are as follows: Extract the candidate load set, add the startup duration and the base-10 logarithm of the equipment rated power plus one to obtain the operation criticality item; divide the operation criticality item by the load switching impact assessment value plus one to obtain the load switching priority assessment value; The loads in the candidate load set are sorted in descending order according to the load switching priority evaluation value to generate a sorted list for the current switching cycle; when multiple loads have the same load switching priority evaluation value, the one with the longer startup duration is prioritized and placed in the front.

7. The method for allocating priority of critical loads of a virtual power plant building according to claim 1, characterized in that: The specific steps of selecting in sequence according to the upper limit of the remaining impact capacity of the busbar, forming the current cycle execution plan, constructing the scheduling instruction and encapsulating it into a scheduling instruction data packet are as follows: Starting from the first load in the sorted list, the load switching impact assessment values ​​of the corresponding loads are accumulated in sequence. If the accumulated total value does not exceed the remaining impact capacity of the bus, the load is included in the execution plan of this cycle; once the accumulated total value exceeds the remaining impact capacity of the bus, the current cycle scheduling cycle is terminated; Based on the finalized execution plan for this cycle, a scheduling instruction set is constructed, and the device number, building number, switching execution time, and target power type of each load are extracted and encapsulated into a scheduling instruction data packet.

8. The method for allocating priority of critical loads of a virtual power plant building according to claim 1, characterized in that: The specific steps of executing the scheduling instruction and recording the operating parameters before and after the switching in real time, constructing the disturbance assessment input set, and evaluating the load switching disturbance degree are as follows: Extract the dispatch instruction data packet, execute the load switching operation, and record the electrical operation data during 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 build a disturbance assessment input set. At the same time, retrieve the load power of historical loads with the same equipment type, rated power, and access method during steady-state operation and calculate the power mean. Based on the disturbance assessment input set, the difference between the bus voltage after switching and the bus voltage before switching is multiplied by the natural logarithm of the equipment 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 switching and the bus current before switching is multiplied by the load branch cable impedance, and then divided by the equipment rated current 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 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, current disturbance term, power disturbance term and response deviation term are squared respectively, added together, and then the square root is taken to obtain the load switching disturbance assessment value.

9. The method for allocating priority of critical loads of a virtual power plant building according to claim 1, characterized in that: The specific steps of determining the switching state based on the evaluation results and triggering the feedback mechanism to adjust the subsequent sorting weights and impact tolerance are as follows: The load switching disturbance assessment value is compared 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 switching and the current scheduling strategy is maintained. When the load switching disturbance assessment value is greater than the disturbance threshold, it is determined to be an abnormal switching and the scheduling feedback mechanism is triggered: the execution priority of the load is lowered in the next cycle, and the remaining impact capacity limit of the corresponding bus is reduced. The load switching disturbance assessment value of this cycle is bound to the scheduling execution result and archived, and stored in the historical feedback database for subsequent cycle load sorting and impact distribution dynamic adjustment strategy calls.

10. Virtual power plant building critical load priority allocation system, characterized by: include: Data acquisition and preprocessing module, impact identification and optimization screening module, priority sorting plan generation module and disturbance monitoring closed-loop feedback module, among which: The data acquisition and preprocessing module is used to collect load switching scheduling data and perform time sequence synchronization, anomaly elimination, physical consistency verification and normalization processing on the load switching scheduling 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 pre-processed load switching scheduling data, quantify the load switching impact index, and screen the candidate load set that meets the constraints in combination with the bus residual impact capacity; The priority sorting plan generation module is used to extract a set of candidate loads, evaluate the switching priority of the loads and generate a sorted list, select them in sequence according to the upper limit of the bus remaining impact capacity, form an execution plan for the current cycle, construct a scheduling instruction and encapsulate it 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, build a disturbance assessment input set, evaluate the degree of load switching disturbance, determine the switching state based on the assessment results, and trigger a feedback mechanism to adjust subsequent sorting weights and impact tolerances.

Images