Rapid identification and response method for weak point-associated power flow based on sensitivity factor

Abstract

The present invention relates to the technical field of power system dispatching automation. Disclosed are a rapid identification and response method and system for a weak point-associated power flow based on a sensitivity factor. The method comprises: acquiring parameter data, and establishing a transfer factor matrix; assessing renewable energy integration of a distribution network and assessing a power flow over-limit line; and dispatching flexible loads in the distribution network on the basis of a sensitivity factor, and carrying out safety verification on a dispatching result. According to the rapid identification and response method for a weak point-associated power flow based on a sensitivity factor provided by the present invention, a weak point in new energy integration of the distribution network is identified, to obtain a blocking line that hinders new energy integration, providing a foundation for subsequent precise dispatching control for flexible loads. Sensitivity analysis is carried out on a weak point-associated power flow and flexible load user nodes on the basis of the sensitivity factor, and the line over-limit condition is eliminated by dispatching flexible loads of corresponding nodes, so that the power grid safety is ensured and new energy integration is implemented.

Description

A rapid identification and response method for weak point associated current based on sensitivity factor Technical Field

[0001] The present invention relates to the technical field of power system dispatching automation, and in particular to a method for quickly identifying and responding to weak point associated power flows based on sensitivity factors. Background Art

[0002] With the influx of intermittent power generation resources like wind and solar power into distribution networks, the weak grid structure in plateau and mountainous areas is out of sync with the renewable energy absorption capacity. The high proportion of renewable energy connected to the grid at multiple voltage levels in these areas is causing daytime bidirectional flows to trigger operational limits, posing risks to distribution network operations. To balance the safe operation of the distribution network with the absorption of renewable energy, a multi-faceted load control strategy can be implemented based on methods for analyzing flows associated with weak points and user node sensitivity to quickly identify and effectively mitigate flows associated with weak points.

[0003] Establishing an appropriate power flow model for distribution network lines is key to rapidly identifying and responding to weak-point-related power flows. Currently, the main power flow models are AC and DC. While the AC power flow model accurately describes the power flow, the power flow equation contains numerous nonlinear terms, significantly increasing the difficulty of solving problems such as optimal power flow. This leads to non-convexity in power flow-related problems and poor solution efficiency. The DC power flow model linearizes the AC power flow equation by making reasonable assumptions based on the AC power flow model, significantly improving computational efficiency. However, it only considers the approximate relationship between active power flow and voltage phase angle, making overly ideal assumptions about reactive power flow and voltage amplitude. When calculating distribution network line power flows, node voltages often need to be considered, which can lead to significant errors in the calculated results. To ensure both accuracy and efficiency, a linearized AC power flow model, intermediate between the DC and AC power flow models, can be proposed, taking into account the effects of reactive power and node voltages.

[0004] Sensitivity indicators can be used to analyze the sensitivity of weak-point-associated power flows and user nodes. Currently, sensitivity factors are used in rapid power flow calculations. Based on DC power flow models, traditional sensitivity factors include power flow-related indicators such as the transfer factor (SF) and the power transfer distribution factor (PTDF). These factors reflect the sensitivity of the line's active power flow to changes in node active power under base and fault conditions, playing an important role in optimizing power flows, safety verification, and power system congestion management. Because traditional sensitivity factors are based on DC power flow models and do not consider the sensitivity of the line's reactive power flow, they are not suitable for analyzing AC power flows in distribution networks. Based on a linearized AC power flow model, a sensitivity factor system that considers reactive power flow and voltage amplitude is proposed, including the transfer factor LAC-SF and the power transfer distribution factor LAC-PTDF based on the LAC model. Rapid identification and response to weak-point-associated power flows based on sensitivity factors ensures grid security and the integration of new energy. Summary of the Invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is that the existing method for rapid identification of weak point associated current has grid connection problems and limitations, and how to consider the reactive current of the line and accurately analyze the AC current of the distribution network.

[0007] To solve the above technical problems, the present invention provides the following technical solutions: a method for rapid identification and response of weak point-associated currents based on sensitivity factors, including obtaining parameter data and establishing a transfer factor matrix; evaluating the new energy consumption of the distribution network and evaluating the current-exceeding-limit lines; scheduling flexible loads in the distribution network based on sensitivity factors, and performing safety verification on the scheduling results.

[0008] As an optimal solution of the method for rapid identification and response of weak point associated currents based on sensitivity factors described in the present invention, the parameter data acquisition includes acquiring the basic load and flexible load of the node, and the day-ahead predicted active output data of wind and solar power, and the acquired data is used as input data.

[0009] As a preferred solution of the method for rapid identification and response of weak point associated power flow based on sensitivity factor of the present invention, wherein: the establishment of transfer factor matrix includes establishing transfer factor matrix according to the topological structure of distribution network, including linearized AC power flow represented as: PL mn =g mn (V m -V n )-b mn (θ m -θ n ) QL mn =-bmn (V m -V n )-g mn (θ m -θ n )

[0010] Among them, PL mn , QL mn are the active power flow and reactive power flow of line mn, g mn , b mn are the conductance and susceptance of the circuit mn, V m , V n is the node voltage amplitude at both ends of line mn, θ m ,θ n is the node voltage phase angle at both ends of line mn, and the matrix of node input power and node voltage is expressed as:

[0011] Among them, P inj , Q inj The active power and reactive power vectors injected into each node are V, θ are the voltage amplitude and voltage phase angle vectors of each node, G, B are the conductance matrix and susceptance matrix of each node, and the relationship between the node voltage and the node injection power is expressed as follows after deleting the reference node and inverting it:

[0012] Among them, K (k-1)×(k-1) , L (k-1)×(k-1) , M (k-1)×(k-1) , N (k-1)×(k-1) To delete the block matrix of the inverse matrix after the reference point is deleted, the rows and columns corresponding to the reference nodes are filled with zeros to obtain K (k×k) , L (k×k) , M (k×k) , N (k×k) , k is the total number of system nodes, and the transfer factor between line active power and node active power is calculated as:

[0013] Among them, P i is the active power vector flowing out of node i, Km,i represents..., Kn,i represents..., Mm,i represents..., Mn,i represents...

[0014] As a preferred solution of the method for rapid identification and response of weak point-associated power flows based on sensitivity factors described in the present invention, wherein: the evaluation of new energy consumption in the distribution network includes establishing a new energy consumption evaluation model based on sensitivity factors, and the new energy consumption evaluation model includes an objective function and constraint conditions;

[0015] The objective function is expressed as:

[0016] Among them, pr i The actual active power output of new energy at node i;

[0017] The constraints include the system active power balance constraint: i =pd i -pr i q i =qd i

[0018] Among them, p i ,q i is the outflow active and reactive power of node i, pd i For..., qd i = ..., the active and reactive power flow constraints of line j are expressed as: PL = -(SF p-p P i +SF p-q Q i ) QL=-(SF q-p P i +SF q-q Q i )

[0019] Among them, SF q-p Indicates..., SF p-p Indicates..., SF p-q Indicates..., SF q-q Indicates..., Q i represents the reactive power vector flowing out of node i, PL j , QL j is the active and reactive power flow of line j, SL j,max represents the maximum line capacity of line j, PL, QL are the line active and reactive power flow vectors, and the voltage constraint is expressed as: V0 = 1 V j,m -V j,n =r j ·PL j +x j QL j 0.9≤V≤1.1

[0020] Among them, r j and x j is the resistance and reactance of line j, and the actual active output constraint of renewable energy is expressed as: 0≤pr i ≤pr i,max

[0021] Among them, pr i,maxThe new energy consumption assessment model is modified to be the maximum value of the new energy active output of node i. The line flow capacity constraint is not considered. The lines with excessive flow when the new energy consumption is maximum are obtained, and the relative degree of excessive flow of the lines is calculated.

[0022] As a preferred solution of the method for rapid identification and response of weak point-associated power flow based on sensitivity factor of the present invention, the calculation of the relative over-limit degree of the power flow of the line is expressed as follows:

[0023] Among them, SL j represents the maximum line capacity of line j;

[0024] Determine the load shock sensitivity entropy, expressed as:

[0025] The weak point line selection is expressed as: Γ={Γ∈LineSL Γ =max(σ j )andmax(H j )}

[0026] Among them, H j It represents the load impact sensitivity entropy corresponding to line j.

[0027] As a preferred solution of the method for rapid identification and response of weak point associated current based on sensitivity factor of the present invention, wherein: the scheduling of flexible load in the distribution network based on sensitivity factor includes judging whether the line current direction is consistent with the assumed positive direction, assuming that the line reactive current does not change, and obtaining the line over-limit active current value ΔPL j , dispatch the nodes belonging to flexible loads, restore the over-limit lines to normal, ensure the safety of the power grid, and enable the consumption of new energy. The optimization model is established with the minimum flexible load dispatching amount, which is expressed as:

[0028] Among them, N fd is the total number of flexible loads in the system, ΔP i fd is the active power adjustment of the i-th flexible load, i fd is the position of the i-th flexible load corresponding to the system node, is the maximum value of the active power adjustment of the i-th flexible load, and α is the adjustment parameter set for the power flow over-limit value of the corresponding line j.

[0029] As a preferred solution of the method for rapid identification and response of weak point associated currents based on sensitivity factors described in the present invention, the safety verification of the scheduling results includes a safety verification of the system line currents after the flexible load of the scheduling node. If there is a line out-of-limit situation, the out-of-limit line is re-evaluated, and the remaining dispatchable flexible load capacity is scheduled to keep the line current within a safe range.

[0030] Another object of the present invention is to provide a rapid identification and response system for weak point associated currents based on sensitivity factors, which can perform sensitivity analysis on weak point associated currents and flexible load user nodes based on sensitivity factors, eliminate line over-limit situations by dispatching flexible loads at corresponding nodes, thereby ensuring the safety of the power grid and accommodating new energy, and solving the problem that the current rapid identification method for weak point associated currents does not consider the influence of line reactive currents and is not suitable for accurate analysis of AC currents in distribution networks.

[0031] As a preferred solution of the weak point associated flow rapid identification and response system based on sensitivity factors described in the present invention, it includes: a data acquisition module, an evaluation module, and a scheduling verification module; the data acquisition module is used to obtain parameter data and establish a transfer factor matrix; the evaluation module is used to evaluate the new energy consumption of the distribution network and evaluate the flow over-limit lines; the scheduling verification module is used to schedule flexible loads in the distribution network based on the sensitivity factor and perform safety verification on the scheduling results.

[0032] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a method for rapid identification and response of weak point associated currents based on sensitivity factors.

[0033] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for rapidly identifying and responding to weak point-associated currents based on sensitivity factors.

[0034] Beneficial effects of the present invention: The method for rapid identification and response of weak point-associated currents based on sensitivity factors provided by the present invention identifies weak points in the absorption of new energy in the distribution network, obtains blocked lines that hinder the absorption of new energy, provides a basis for the subsequent precise regulation of flexible loads, and provides theoretical support for future line capacity transformation. Based on the sensitivity factor, a sensitivity analysis is performed on the weak point-associated currents and flexible load user nodes, and the line over-limit situation is eliminated by dispatching the flexible loads of the corresponding nodes, so that the safety of the power grid can be guaranteed and new energy can be absorbed. The present invention achieves better results in terms of safety, applicability and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0036] FIG1 is an overall flow chart of a method for rapid identification and response of weak point associated currents based on sensitivity factors provided by a first embodiment of the present invention.

[0037] FIG2 is a diagram showing the situation before and after system line flow scheduling at a certain moment, according to a method for rapid identification and response of weak point associated flow based on sensitivity factors provided by a second embodiment of the present invention.

[0038] FIG3 is a diagram showing the new energy consumption situation before and after scheduling at a certain moment in a method for rapid identification and response of weak point associated power flows based on sensitivity factors provided by a second embodiment of the present invention.

[0039] FIG4 is an overall flow chart of a system for rapid identification and response of weak point-associated tidal currents based on sensitivity factors provided by a third embodiment of the present invention. DETAILED DESCRIPTION

[0040] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0041] Example 1

[0042] 1 , which is an embodiment of the present invention, provides a method for rapidly identifying and responding to weak point-associated currents based on sensitivity factors, including:

[0043] S1: Obtain parameter data and establish transfer factor matrix.

[0044] Furthermore, parameter data acquisition includes obtaining node baseload and flexible load data, as well as predicted wind and solar power output data, and using this data as input. Establishing a transfer factor matrix helps understand the interactions between different nodes, leading to more efficient management and dispatch of grid resources.

[0045] It should be noted that a transfer factor matrix (LAC-SF matrix) is established based on the topology of the distribution network to prepare for the subsequent calculation of distribution network power flows. The LAC-SF matrix of the distribution network contains all the information about the network topology, with each row representing a transmission line and each column representing a node. The matpower toolbox in Matlab provides basic data on the network topology (such as the correspondence between nodes and lines and the impedance parameters of the lines). Calling the makeSF function yields the LAC-SF matrix of the network.

[0046] It should also be noted that establishing the transfer factor matrix includes establishing the transfer factor matrix according to the topological structure of the distribution network, including linearizing the AC power flow to be expressed as: PL mn =g mn (V m -V n )-b mn (θ m -θ n ) QL mn =-b mn (V m -V n )-g mn (θ m -θ n )

[0047] Among them, PL mn , QL mn are the active power flow and reactive power flow of line mn, g mn , b mn are the conductance and susceptance of the circuit mn, V m , V n is the node voltage amplitude at both ends of line mn, θ m ,θ n is the node voltage phase angle at both ends of line mn, and the matrix of node input power and node voltage is expressed as:

[0048] Among them, P inj , Q inj The active power and reactive power vectors injected into each node are V, θ are the voltage amplitude and voltage phase angle vectors of each node, G, B are the conductance matrix and susceptance matrix of each node, and the relationship between the node voltage and the node injection power is expressed as follows after deleting the reference node and inverting it:

[0049] Among them, K (k-1)×(k-1) , L (k-1)×(k-1) , M (k-1)×(k-1) , N (k-1)×(k-1) To delete the block matrix of the inverse matrix after the reference point is deleted, the rows and columns corresponding to the reference nodes are filled with zeros to obtain K(k×k) , L (k×k) , M (k×k) , N (k×k) , k represents the transfer factor between the calculated line active power and the node active power, which is expressed as:

[0050] Among them, Pi is the active power vector injected into the system by node i, K m,i , K n,i is the voltage amplitude-active power sensitivity matrix K (k×k) The element in represents the sensitivity of the voltage amplitude of node m and node n to the active power injected into node i; M m,i , M n,i is the voltage phase angle-active power sensitivity matrix M (k×k) The element in the equation indicates that the voltage phase angles at nodes m and n are sensitive to the power injected into node i. By assessing the renewable energy absorption capacity and power flow over-limit lines, grid operators can identify potential risks and weaknesses, allowing them to take appropriate measures to improve grid reliability and efficiency.

[0051] S2: Evaluate the new energy consumption of the distribution network and evaluate the power flow exceeding the limit line.

[0052] Furthermore, evaluating the new energy consumption of the distribution network includes establishing a new energy consumption evaluation model based on a sensitivity factor, wherein the new energy consumption evaluation model includes an objective function and constraint conditions;

[0053] The objective function is expressed as:

[0054] Among them, pr i The actual active power output of new energy at node i;

[0055] The constraints include the system active power balance constraint: i =pd i -pr i q i =qd i

[0056] Among them, p i ,q i is the outflow active and reactive power of node i, pd i For..., qd i = ..., the active and reactive power flow constraints of line j are expressed as: PL = -(SF p-p P i +SF p-q Q i ) QL=-(SF q-p P i +SF q-q Qi )

[0057] Among them, SF q-p Indicates..., SF p-p Indicates..., SF p-q Indicates..., SF q-q Indicates..., Q i represents the reactive power vector flowing out of node i, PL j , QL j is the active and reactive power flow of line j, SL j,max represents the maximum line capacity of line j, PL, QL are the line active and reactive power flow vectors, and the voltage constraint is expressed as: V0 = 1 V j,m -V j,n =r j ·PL j +x j QL j 0.9≤V≤1.1

[0058] Among them, r j and x j is the resistance and reactance of line j, and the actual active output constraint of renewable energy is expressed as: 0≤pr i ≤pr i,max

[0059] Among them, pr i,max The new energy consumption assessment model is modified to be the maximum value of the new energy active output of node i. The line flow capacity constraint is not considered. The lines with excessive flow when the new energy consumption is maximum are obtained, and the relative degree of excessive flow of the lines is calculated.

[0060] It should be noted that the relative over-limit degree of line power flow is calculated as follows:

[0061] Among them, SL j represents the maximum line capacity of line j;

[0062] Determine the load shock sensitivity entropy, expressed as:

[0063] The weak point line selection is expressed as: Γ={Γ∈LineSL Γ =max(σ j )andmax(H j )}

[0064] Among them, H j The load shock sensitivity entropy corresponding to line j is represented by . By calculating the relative over-limit degree of line power flow, weak links in the power grid can be quickly identified, providing important decision support for power grid optimization and upgrade.

[0065] S3: Dispatch the flexible loads in the distribution network based on the sensitivity factor and perform safety verification on the dispatch results.

[0066] Furthermore, scheduling the flexible load in the distribution network based on the sensitivity factor includes judging whether the line flow direction is consistent with the assumed positive direction, assuming that the line reactive flow does not change, and obtaining the line over-limit active flow value ΔPL j , dispatch the nodes belonging to flexible loads, restore the over-limit lines to normal, ensure the safety of the power grid, and enable the consumption of new energy. The optimization model is established with the minimum flexible load dispatching amount, which is expressed as:

[0067] Among them, N fd is the total number of flexible loads in the system, ΔP i fd is the active power adjustment of the i-th flexible load, i fd is the position of the i-th flexible load corresponding to the system node, is the maximum value of the active power adjustment of the i-th flexible load, and α is the adjustment parameter set for the power flow over-limit value of the corresponding line j.

[0068] It should be noted that the safety check of the dispatching results includes the safety check of the system line flow after the flexible load of the dispatching node. If there is a line out-of-limit situation, the out-of-limit line will be re-evaluated and the remaining dispatchable flexible load capacity will be dispatched to keep the line flow within a safe range.

[0069] Example 2

[0070] 2-3 , which are an embodiment of the present invention, provide a method for rapid identification and response of weak point associated currents based on sensitivity factors. To verify the beneficial effects of the present invention, scientific demonstration is conducted through economic benefit calculations and simulation experiments.

[0071] First, the experiment was conducted based on the IEEE33 system, selecting nodes 4, 6, 9, 13, 20, and 27 as new energy access nodes. The situation of new energy consumption being blocked at a specific moment was analyzed. Load and wind / solar data were input, and the transfer factor matrix was calculated based on the network topology of the IEEE33 system. Considering line constraints, the new energy consumption at the access nodes was evaluated under the condition of maximizing the system's new energy consumption rate. Without considering full new energy consumption under line constraints, the situation of lines with excessive power flow was evaluated, and the degree of excess power and load impact sensitivity entropy were calculated. Lines that hindered new energy consumption were identified, and flexible loads were dispatched according to the method proposed above. A safety check was performed, and if the requirements were met, the flexible load dispatch amount was output. Otherwise, load adjustment was continued until the safety check was met.

[0072] Figure 2 shows the changes in line flow before and after load scheduling. The red line represents the line flow obtained in step 4 above; the green line represents the line flow after load scheduling and safety verification. Comparative analysis shows that the flexible load scheduling scheme proposed in this paper can restore line flow to normal when the line flow exceeds the limit, demonstrating the effectiveness of flexible load scheduling and promoting the integration of new energy.

[0073] Figure 3 shows the changes in the new energy consumption rate of the six new energy nodes before and after scheduling. Through comparison, it is found that the flexible load scheduling scheme proposed in this paper can increase the new energy consumption rate of nodes where new energy consumption is hindered, and realize the rapid identification and response of the associated currents of weak points in new energy consumption.

[0074] Example 3

[0075] 4 , which shows an embodiment of the present invention, a system for rapid identification and response of weak point-associated power flows based on sensitivity factors is provided, including a data acquisition module, an evaluation module, and a scheduling verification module.

[0076] Among them, the data acquisition module is used to obtain parameter data and establish a transfer factor matrix; the evaluation module is used to evaluate the new energy consumption of the distribution network and evaluate the flow over-limit lines; the scheduling verification module is used to schedule flexible loads in the distribution network based on the sensitivity factor and perform safety verification on the scheduling results.

[0077] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program code.

[0078] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0079] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0080] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having logic gate circuits for implementing logical functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc. It should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention and are not intended to be limiting. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced with equivalents without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications should be encompassed by the claims of the present invention.

[0081] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for rapid identification and response of weak point associated current based on sensitivity factor, characterized in that: include: Obtain parameter data and establish transfer factor matrix; Evaluate the consumption of new energy in the distribution network and evaluate the power flow exceeding the limit line; Flexible loads in the distribution network are dispatched based on sensitivity factors, and the dispatch results are safety-verified.

2. The method for rapid identification and response of weak point associated power flow based on sensitivity factor according to claim 1, characterized in that: The parameter data acquisition includes acquiring the basic load and flexible load of the node, and the day-ahead predicted active output data of wind and solar power, and the acquired data is used as input data.

3. The method for rapid identification and response of weak point associated power flow based on sensitivity factor as claimed in claim 2, characterized in that: The establishment of the transfer factor matrix includes establishing the transfer factor matrix according to the topological structure of the distribution network, including linearizing the AC power flow to be expressed as: PL mn =g mn (V m -V n )-b mn (θ m -θ n ) QL mn =-b mn (V m -V n )-g mn (θ m -θ n ) Among them, PL mn , QL mn is the active power flow and reactive power flow of line mn, g mn , b mn is the conductance and susceptance of the line mn, V m , V n is the node voltage amplitude at both ends of line mn, θ m ,θ n is the node voltage phase angle at both ends of line mn, and the matrix of node input power and node voltage is expressed as: Among them, P inj , Q inj The active power and reactive power vectors are injected into each node, V, θ are the voltage amplitude and voltage phase angle vectors of each node, G, B are the conductance matrix and susceptance matrix of each node, and the relationship between the node voltage and the node injection power is expressed as follows after deleting the reference node and taking the inverse: Among them, K (k-1)×(k-1) , L (k-1)×(k-1) , M (k-1)×(k-1) , N (k-1)×(k-1) To remove the block matrix of the inverse matrix after the reference point is deleted, the rows and columns corresponding to the reference nodes are filled with zeros to obtain K (k×k) , L (k×k) , M (k×k) , N (k×k) , k is the total number of system nodes, and the transfer factor between line active power and node active power is calculated, which is expressed as: Where Pi is the active power vector injected into the system by node i, K m,i , K n,i is the voltage amplitude-active power sensitivity matrix K (k×k) The element in represents the sensitivity of the voltage amplitude of nodes m and n to the active power injected into node i; M m,i , M n,i is the voltage phase angle-active power sensitivity matrix M (k×k) The elements in , indicate that the voltage phase angles at nodes m and n are sensitive to the power injected into node i.

4. The method for rapid identification and response of weak point associated power flow based on sensitivity factor as claimed in claim 3, characterized in that: The evaluation of the new energy consumption of the distribution network includes establishing a new energy consumption evaluation model based on a sensitivity factor, and the new energy consumption evaluation model includes an objective function and constraint conditions; The objective function is expressed as: Among them, pr i The actual active power output of new energy at node i; The constraints include system active power balance constraints: p i =pd i -pr i q i =qd i Among them, p i ,q i is the outflow active and reactive power of node i, pd i For..., qd i For ..., the active and reactive power flow constraints of line j are expressed as: PL=-(SF p-p P i +SF p-q Q i ) QL=-(SF q-p P i +SF q-q Q i ) Among them, SF q-p Indicates..., SF p-p Indicates..., SF p-q Indicates..., SF q-q means..., Q i represents the reactive power vector flowing out of node i, PL j , QL j is the active and reactive power flow of line j, SL j,max represents the maximum line capacity of line j, PL, QL are the line active and reactive power flow vectors, and the voltage constraint is expressed as: V0＝1 V j,m -V j,n =r j ·PL j +x j ·QL j 0.9≤V≤1.1 Among them, r j and x j is the resistance and reactance of line j, and the actual active output constraint of new energy is expressed as: 0≤pr i ≤pr i,max Among them, pr i,max The maximum value of the new energy active output of node i is used to modify the new energy consumption assessment model. Without considering the line flow capacity limit constraint, the line with the flow exceeding the limit when the new energy consumption is maximum is obtained, and the relative degree of the line flow exceeding the limit is calculated.

5. The method for rapid identification and response of weak point associated power flow based on sensitivity factor as claimed in claim 4, characterized in that: The relative over-limit degree of the line power flow is calculated as follows: Among them, SL j represents the maximum line capacity of line j; Determine the load shock sensitivity entropy, expressed as: The weak point line selection is expressed as: Γ={Γ∈Line|SL Γ =max(σ j )and max(H j )} Among them, H j It represents the load impact sensitivity entropy corresponding to line j.

6. The method for rapid identification and response of weak point associated power flow based on sensitivity factor according to claim 5, characterized in that: The dispatching of the flexible load in the distribution network based on the sensitivity factor includes determining whether the line flow direction is consistent with the assumed positive direction, assuming that the line reactive power flow does not change, and obtaining the line over-limit active power flow value ΔPL j , dispatch the nodes belonging to flexible loads, restore the over-limit lines to normal to ensure the safety of the power grid, and enable the consumption of new energy. The optimization model is established with the minimum flexible load dispatching amount, which is expressed as: Among them, N fd is the total number of flexible loads in the system, is the active power adjustment of the i-th flexible load, i fd is the position of the i-th flexible load corresponding to the system node, is the maximum value of the active power adjustment of the i-th flexible load, and α is the adjustment parameter set for the power flow over-limit value of the corresponding line j.

7. The method for rapid identification and response of weak point associated power flow based on sensitivity factor according to claim 6, characterized in that: The safety check of the scheduling result includes a safety check of the system line flow after the flexible load of the scheduling node. If there is a line over-limit situation, the over-limit line is re-evaluated, and the remaining dispatchable flexible load capacity is scheduled to keep the line flow within a safe range.

8. A system using the method for rapid identification and response of weak point associated power flow based on sensitivity factor as claimed in any one of claims 1 to 7, characterized in that: Including data collection module, evaluation module, and scheduling verification module; The data acquisition module is used to obtain parameter data and establish a transfer factor matrix; The evaluation module is used to evaluate the consumption of new energy in the distribution network and to evaluate the power flow over-limit lines; The dispatch verification module is used to dispatch the flexible load in the distribution network based on the sensitivity factor and to perform safety verification on the dispatch result.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for rapid identification and response of weak point associated power flow based on sensitivity factor described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for rapid identification and response of weak point associated power flow based on sensitivity factors described in any one of claims 1 to 7 are implemented.

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