A method for identifying the evolution path of voltage sag consequences

Abstract

The present invention provides a method for identifying the evolution path of voltage sag consequences, relating to the technical field of voltage transient assessment. The method comprises obtaining voltage sag characteristic parameters and voltage sag impact parameters; analyzing the corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve based on the voltage sag characteristic parameters to obtain consequence characteristic data; analyzing the energy flow and material flow of the production process based on the voltage sag impact parameters to obtain consequence severity data; and analyzing the transfer characteristics based on the consequence characteristic data and consequence severity data using a voltage sag consequence transfer model to obtain the voltage sag consequence evolution path, thereby completing the identification of the voltage sag consequence evolution path. The present invention can promptly identify implicit consequences, avoiding the problem of implicit consequences being transferred and superimposed, leading to the aggravation of explicit consequences.

Description

Technical Field

[0001] This specification relates to the technical field of voltage transient assessment, and in particular to a method for identifying the evolution path of voltage sag consequences. Background Art

[0002] Modern industrial production systems rely heavily on intelligent manufacturing instruments to improve production quality and efficiency. However, these instruments are highly sensitive to voltage sags. Voltage sags can easily cause these instruments to malfunction and shut down, disrupting continuous, high-quality production and causing significant losses and risks. Therefore, timely identification of the consequences of voltage sags can provide guidance for cost-effectively mitigating these risks and reducing their economic losses.

[0003] User production activities involve the combined utilization of a series of production factors (human resources, capital, equipment, raw materials, electricity, etc.). The physical essence of this operation is the dynamic and orderly exchange of material and energy within the production structure, driven and influenced by energy flows (electrical energy, mechanical energy, etc.), to achieve value accumulation. The production process consists of two or more links, each of which involves the conversion of energy, materials, and value. Therefore, describing the impact of voltage sag on user production requires considering the energy flow, material flow, and value flow. Existing methods analyze the production process as a whole and are often fragmented. They can only identify explicit consequences (e.g., equipment failure, process interruption) but not implicit consequences. Furthermore, existing methods often focus on a specific piece of equipment or process, failing to consider the evolution of consequences between pieces of equipment or between various links in the production process. Summary of the Invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides a method for identifying the evolution path of voltage sag consequences, which can timely identify implicit consequences and avoid the problem of aggravating explicit consequences due to the transmission and superposition of implicit consequences.

[0005] In order to achieve the above-mentioned object, the present invention adopts a technical solution: a method for identifying the evolution path of voltage sag consequences, comprising:

[0006] Obtain voltage sag characteristic parameters and voltage sag impact parameters;

[0007] Based on the voltage sag characteristic parameters, corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve are used for analysis to obtain consequence characteristic data;

[0008] Based on the voltage sag impact parameters, the energy flow and material flow of the production process are analyzed to obtain consequence degree data;

[0009] Based on the consequence characteristic data and the consequence degree data, the voltage sag consequence transfer model is used to analyze the transfer characteristics, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path.

[0010] Furthermore, the voltage sag characteristic parameters are analyzed using corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve to obtain consequence characteristic data including:

[0011] By analyzing the production equipment and operating parameters, an equipment tolerance curve and a process parameter curve are obtained; the equipment tolerance curve and the process parameter curve are voltage sag characteristic parameters;

[0012] Based on the equipment tolerance curve and combined with the voltage sag amplitude, an analysis is performed to obtain a first consequence characteristic;

[0013] Based on the process parameter curve, the degree of physical parameter deviation is analyzed to obtain a second consequence characteristic; wherein the first consequence characteristic and the second consequence characteristic belong to the consequence characteristic data.

[0014] Furthermore, the first consequence characteristics obtained by analyzing the device tolerance curve in combination with the voltage sag amplitude include:

[0015] Based on the equipment tolerance curve, the voltage sag amplitude-duration severity comprehensive index is used, combined with the voltage sag amplitude for analysis, to obtain the first consequence characteristic:

[0016]

[0017]

[0018]

[0019]

[0020] in, Indicates the first consequence characteristic, represents the probability of the g-th voltage sag event in the r-th month causing the failure of the main equipment in the k-th link, MSI represents the voltage sag amplitude severity index, DSI represents the duration severity index, T represents the voltage sag duration, T max Indicates the time upper limit of the tolerance of sensitive equipment, T min Indicates the lower time limit of the tolerance of sensitive equipment, U max Indicates the upper limit of the amplitude of the tolerance of sensitive equipment, U represents the voltage sag amplitude, U min Indicates the lower limit of the amplitude of the tolerance of sensitive equipment.

[0021] Furthermore, the expression of the second consequence characteristic is:

[0022]

[0023] in, Indicates the second consequence characteristic, P nom Indicates the standard value of the physical parameter, parameter indicates the process physical parameter value at the end of a single voltage sag event, P limit Indicates the limit value of a physical parameter.

[0024] Furthermore, the consequence degree data obtained by analyzing the energy flow and material flow of the production process based on the voltage sag impact parameter includes:

[0025] By analyzing the downtime and expected time, the energy flow consequences of the production process are obtained;

[0026] By analyzing the defective quantity and the expected output, and combining the energy flow consequence of the production process, the material flow consequence of the production process is obtained; wherein the downtime, the expected time, the defective quantity and the expected output are voltage sag impact parameters;

[0027] Based on the energy flow consequences of the production process and the material flow consequences of the production process, the value flow consequences of the production process are obtained through calculation; wherein, the energy flow consequences of the production process, the material flow consequences of the production process and the value flow consequences of the production process belong to consequence degree data.

[0028] Furthermore, the analyzing the transfer characteristics based on the consequence characteristic data and the consequence severity data using a voltage sag consequence transfer model to obtain a voltage sag consequence evolution path, and completing the identification of the voltage sag consequence evolution path includes:

[0029] Identifying the transfer characteristics to obtain an identification result; the identification result includes serial transfer and parallel transfer;

[0030] Based on the consequence characteristic data and the consequence degree data, a series transfer characteristic model is obtained by utilizing the voltage sag consequence transfer characteristics of adjacent production links;

[0031] Based on the consequence characteristic data and the consequence degree data, analyzing the transfer characteristics according to the synchronous scenario, the dispersed scenario, and the converged scenario of parallel transfer respectively to obtain a parallel transfer characteristic model;

[0032] Based on the series transfer characteristic model and the parallel transfer characteristic model, a voltage sag consequence transfer model is constructed to analyze the transfer characteristics, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path.

[0033] Furthermore, the expression of the series transfer characteristic model is:

[0034]

[0035]

[0036]

[0037] in, A represents the consequence vector of link k under the g-th voltage sag event in the r-th month, k-1 represents the coefficient matrix of the impact of the consequences of the k-1 link on the consequences of the k link, represents the consequence vector of the k-1 link under the g-th voltage sag event in the r-th month, B k Represents the coefficient matrix of the impact of k-link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of link k, a 1,k-1 Indicates the highest value of the energy flow in the k-1 link affected by the historical voltage sag event, a 2,k-1 Indicates the highest value of the material flow in the k-1 link affected by the historical voltage sag event, b 1k Indicates the highest value of the energy flow in link k affected by historical voltage sag events, b 2k It indicates the highest value of the material flow in the k-link affected by the historical voltage sag event. They respectively represent the sensitivity of the energy flow and material flow in the k-th link to the g-th voltage sag event in the r-th month.

[0038] Furthermore, when the identification result is parallel transmission, based on the consequence characteristic data and the consequence degree data, the transmission characteristics are analyzed according to the synchronization scenario, the dispersion scenario, and the convergence scenario of the parallel transmission respectively to obtain the parallel transmission characteristic model, including:

[0039] Based on the consequence characteristic data and the consequence degree data, a transfer characteristic expression of the dispersion scenario is constructed:

[0040]

[0041]

[0042] in, A represents the consequence vector of the first device in the k-1 link under the g-th voltage sag event in the r-th month, k-2 represents the coefficient matrix of the impact of the consequences of the k-2 link on the consequences of the k-1 link, represents the first dummy variable, B k-1 represents the coefficient matrix of the impact of k-1 link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-1 link, represents the consequence vector of the k-2 link under the g-th voltage sag event in the r-th month, represents the second dummy variable;

[0043] Based on the consequence characteristic data and the consequence degree data, a transfer characteristic expression of the convergence scenario is constructed:

[0044]

[0045]

[0046] in, A represents the consequence vector of the k+1 link under the g-th voltage sag event in the r-th month, k represents the coefficient matrix of the impact of the consequences of the k-link on the consequences of the k+1-link, represents the consequence vector of link k under the g-th voltage sag event in the r-th month, B k+1 Represents the coefficient matrix of the impact of k+1 link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of link k+1;

[0047] Using the series transfer characteristic model, constructing a transfer characteristic expression for a synchronization scenario;

[0048] The transfer characteristic expression of the decentralized scenario, the transfer characteristic expression of the converged scenario, and the transfer characteristic expression of the synchronous scenario are combined to obtain a parallel transfer characteristic model.

[0049] Furthermore, the expression of the voltage sag consequence evolution path is:

[0050]

[0051] Among them, Φ k B k The matrix composed of represents the evolution path of voltage sag consequences, Y rg Indicates the consequences of voltage sag, Φ k represents the state transfer matrix, B k represents the influence coefficient matrix, It represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-th link, k represents the k-th link, and l represents the total number of links.

[0052] A device for identifying an evolution path of voltage sag consequences, comprising:

[0053] An acquisition module, used to obtain voltage sag characteristic parameters and voltage sag impact parameters;

[0054] a parameter determination module for analyzing, based on the voltage sag characteristic parameters, corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve to obtain consequence characteristic data; and obtaining consequence degree data by analyzing the energy flow and material flow of the production process based on the voltage sag impact parameters;

[0055] The identification module is used to analyze the transfer characteristics based on the consequence characteristic data and the consequence degree data using the voltage sag consequence transfer model, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path.

[0056] The present invention has the following beneficial effects: the processor uses a voltage sag consequence transmission model to analyze consequence characteristic data and consequence severity data to derive a voltage sag consequence evolution path. This approach accurately and comprehensively characterizes the consequences of voltage sags by integrating the types and manifestations of voltage sag consequences along the voltage sag consequence evolution path. By promptly identifying latent consequences, weak links in the production process related to voltage sags can be identified, and the transmission and evolution of latent consequences can be promptly blocked, preventing the deterioration and aggravation of consequences and mitigating the severity of explicit consequences. By utilizing the voltage sag consequence transmission model, the efficiency and value of the user's production process can be effectively improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] This specification will be further described in the form of exemplary embodiments, which will be described in detail with reference to the accompanying drawings. These embodiments are not limiting, and in these embodiments, like numbers represent like structures, wherein:

[0058] Figure 1 This is a module diagram of a device for identifying the evolution path of voltage sag consequences according to some embodiments of this specification.

[0059] Figure 2 This is an exemplary flow chart of a method for identifying an evolution path of voltage sag consequences according to some embodiments of this specification. DETAILED DESCRIPTION

[0060] The specific embodiments of the present invention are described below to facilitate understanding of the present invention by those skilled in the art. However, it should be clear that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the appended claims, these changes are obvious, and all inventions and creations utilizing the concepts of the present invention are protected.

[0061] Example 1

[0062] Figure 1This is a module diagram of a device for identifying the evolution path of voltage sag consequences according to some embodiments of this specification.

[0063] In some embodiments, the device for identifying an evolution path of consequences of a voltage sag may include an acquisition module, a parameter determination module, and an identification module.

[0064] The acquisition module is used to obtain voltage sag characteristic parameters and voltage sag impact parameters. For more details about voltage sag characteristic parameters and voltage sag impact parameters, please refer to Figure 2 and its related descriptions.

[0065] The parameter determination module is used to analyze the corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve based on the voltage sag characteristic parameters to obtain the consequence characteristic data; based on the voltage sag impact parameters, it analyzes the energy flow and material flow of the production process to obtain the consequence degree data. For more details about the consequence characteristic data and consequence degree data, please refer to Figure 2 and its related descriptions.

[0066] In some embodiments, the parameter determination module can obtain an equipment tolerance curve and a process parameter curve by analyzing the production equipment and operating parameters; the equipment tolerance curve and the process parameter curve belong to voltage sag characteristic parameters; based on the equipment tolerance curve, combined with the voltage sag amplitude, analysis is performed to obtain a first consequence characteristic; based on the process parameter curve, the degree of physical parameter deviation is analyzed to obtain a second consequence characteristic; wherein, the first consequence characteristic and the second consequence characteristic belong to the consequence characteristic data.

[0067] In some embodiments, the parameter determination module may analyze the voltage sag amplitude-duration severity comprehensive index based on the device tolerance curve and the voltage sag amplitude to obtain the first consequence characteristic:

[0068]

[0069]

[0070]

[0071]

[0072] in, Indicates the first consequence characteristic, represents the probability of the g-th voltage sag event in the r-th month causing the failure of the main equipment in the k-th link, MSI represents the voltage sag amplitude severity index, DSI represents the duration severity index, T represents the voltage sag duration, T maxIndicates the time upper limit of the tolerance of sensitive equipment, T min Indicates the lower time limit of the tolerance of sensitive equipment, U max Indicates the upper limit of the amplitude of the tolerance of sensitive equipment, U represents the voltage sag amplitude, U min Indicates the lower limit of the amplitude of the tolerance of sensitive equipment.

[0073] In some embodiments, the expression of the second consequence characteristic may be:

[0074]

[0075] in, Indicates the second consequence characteristic, P nom Indicates the standard value of the physical parameter, parameter indicates the process physical parameter value at the end of a single voltage sag event, P limit Indicates the limit value of a physical parameter.

[0076] In some embodiments, the parameter determination module can obtain the energy flow consequences of the production process by analyzing the downtime and the expected time; obtain the material flow consequences of the production process by analyzing the defective quantity and the expected output and combining the energy flow consequences of the production process; wherein the downtime, the expected time, the defective quantity and the expected output are voltage sag impact parameters; based on the energy flow consequences of the production process and the material flow consequences of the production process, obtain the value flow consequences of the production process by calculation; wherein the energy flow consequences of the production process, the material flow consequences of the production process and the value flow consequences of the production process are consequence degree data.

[0077] The identification module is used to analyze the transfer characteristics based on the consequence characteristic data and the consequence degree data using the voltage sag consequence transfer model to obtain the voltage sag consequence evolution path and complete the identification of the voltage sag consequence evolution path. For more details about the voltage sag consequence evolution path, please refer to Figure 2 and its related descriptions.

[0078] In some embodiments, the identification module can identify the transfer characteristics and obtain an identification result; the identification result includes series transfer and parallel transfer; when the identification result is series transfer, based on the consequence characteristic data and the consequence degree data, the voltage sag consequence transfer characteristics of adjacent production links are used to obtain a series transfer characteristic model; when the identification result is parallel transfer, based on the consequence characteristic data and the consequence degree data, the transfer characteristics are analyzed according to the synchronous scenario, decentralized scenario and convergent scenario of parallel transfer respectively to obtain a parallel transfer characteristic model; based on the series transfer characteristic model and the parallel transfer characteristic model, a voltage sag consequence transfer model is constructed to analyze the transfer characteristics, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path.

[0079] In some embodiments, the expression of the series transfer characteristic model may be:

[0080]

[0081]

[0082]

[0083] in, A represents the consequence vector of link k under the g-th voltage sag event in the r-th month, k-1 represents the coefficient matrix of the impact of the consequences of the k-1 link on the consequences of the k link, represents the consequence vector of the k-1 link under the g-th voltage sag event in the r-th month, B k Represents the coefficient matrix of the impact of k-link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of link k, a 1,k-1 Indicates the highest value of the energy flow in the k-1 link affected by the historical voltage sag event, a 2,k-1 Indicates the highest value of the material flow in the k-1 link affected by the historical voltage sag event, b 1k Indicates the highest value of the energy flow in link k affected by historical voltage sag events, b 2k It indicates the highest value of the material flow in the k-link affected by the historical voltage sag event. They respectively represent the sensitivity of the energy flow and material flow in the k-th link to the g-th voltage sag event in the r-th month.

[0084] In some embodiments, the identification module can construct a transfer characteristic expression for a decentralized scenario based on the consequence characteristic data and the consequence degree data; construct a transfer characteristic expression for a convergent scenario based on the consequence characteristic data and the consequence degree data; construct a transfer characteristic expression for a synchronous scenario using the serial transfer characteristic model; and obtain a parallel transfer characteristic model by combining the transfer characteristic expression for the decentralized scenario, the transfer characteristic expression for the convergent scenario, and the transfer characteristic expression for the synchronous scenario.

[0085] In some embodiments, the transfer characteristic expression of the dispersion scenario may be:

[0086]

[0087]

[0088] in, A represents the consequence vector of the first device in the k-1 link under the g-th voltage sag event in the r-th month, k-2 represents the coefficient matrix of the impact of the consequences of the k-2 link on the consequences of the k-1 link, represents the first dummy variable, B k-1 represents the coefficient matrix of the impact of k-1 link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-1 link, represents the consequence vector of the k-2 link under the g-th voltage sag event in the r-th month, represents the second dummy variable.

[0089] In some embodiments, the transfer characteristic expression of the convergence scenario may be:

[0090]

[0091]

[0092] in, A represents the consequence vector of the k+1 link under the g-th voltage sag event in the r-th month, k represents the coefficient matrix of the impact of the consequences of the k-link on the consequences of the k+1-link, represents the consequence vector of link k under the g-th voltage sag event in the r-th month, B k+1 Represents the coefficient matrix of the impact of k+1 link consequences on product consequences, It represents the sensitive vector of the g-th voltage sag event in the r-th month of the k+1 link.

[0093] In some embodiments, the expression for the evolution path of the voltage sag consequence may be:

[0094]

[0095] Among them, Φ k B k The matrix composed of represents the evolution path of voltage sag consequences, Y rg Indicates the consequences of voltage sag, Φ k represents the state transition matrix, B k represents the influence coefficient matrix, It represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-th link, k represents the k-th link, and l represents the total number of links.

[0096] In some embodiments, a device for identifying an evolution path of the consequences of a voltage sag can be used to execute a method for identifying an evolution path of the consequences of a voltage sag, including: obtaining voltage sag characteristic parameters and voltage sag impact parameters; based on the voltage sag characteristic parameters, using corresponding boundary values ​​of an equipment tolerance curve and a process parameter curve for analysis to obtain consequence characteristic data; based on the voltage sag impact parameters, by analyzing the energy flow and material flow of a production process to obtain consequence degree data; based on the consequence characteristic data and the consequence degree data, using a voltage sag consequence transfer model to analyze the transfer characteristics to obtain the voltage sag consequence evolution path, thereby completing the identification of the voltage sag consequence evolution path.

[0097] In some embodiments of this specification, a processor utilizes a device for identifying the evolution path of voltage sag consequences to execute a method for identifying the evolution path of voltage sag consequences. This method can accurately and comprehensively characterize the consequences of voltage sags by integrating the types and manifestations of the voltage sag consequences along the evolution path. By promptly identifying latent consequences, weak links in the production process related to voltage sags can be identified, and the transmission and evolution of latent consequences can be promptly blocked, preventing the deterioration and aggravation of the consequences and mitigating the severity of explicit consequences. By utilizing a voltage sag consequence transmission model, the efficiency and value of the user's production process can be effectively improved.

[0098] Example 2

[0099] Figure 2 This is an exemplary flow chart of a method for identifying the evolution path of voltage sag consequences according to some embodiments of this specification. Figure 2 As shown, the process includes the following steps. In some embodiments, the process can be executed by a processor.

[0100] Obtain voltage sag characteristic parameters and voltage sag impact parameters.

[0101] Voltage sag characteristic parameters reflect the tolerance of production equipment to voltage sag and production parameters. For example, voltage sag characteristic parameters may include equipment tolerance curves and process parameter curves.

[0102] In some embodiments, the processor may monitor the production equipment to obtain voltage sag characteristic parameters.

[0103] Voltage sag impact parameters are parameters that reflect the duration and output of production activities. For example, voltage sag impact parameters may include outage duration, expected duration, defective quantity, and expected output.

[0104] In some embodiments, the processor may obtain voltage sag impact parameters based on the uploaded production data and expected data.

[0105] Based on the voltage sag characteristic parameters, analysis is performed using corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve to obtain consequence characteristic data.

[0106] The consequence characteristic data reflects the consequence characteristics of the energy flow in the production process. For example, the consequence characteristic data may include a first consequence characteristic and a second consequence characteristic.

[0107] The first consequence characteristic is a consequence characteristic based on the device's tolerance capability.

[0108] The second consequence characteristic is a consequence characteristic based on production process parameters.

[0109] In some embodiments, the processor may implement the following steps to obtain consequence characteristic data by performing analysis based on the voltage sag characteristic parameters using corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve.

[0110] By analyzing the production equipment and operating parameters, the equipment tolerance curve and process parameter curve are obtained.

[0111] The equipment tolerance curve is a curve that reflects the production equipment's ability to withstand voltage sags.

[0112] In some embodiments, the processor may monitor data of the production equipment during voltage sag to obtain an equipment tolerance curve.

[0113] The process parameter curve is a curve that reflects the parameter conditions of production equipment during the production process.

[0114] In some embodiments, the processor may monitor parameters of the production equipment during the production process to obtain a process parameter curve.

[0115] Based on the equipment tolerance curve and combined with the voltage sag amplitude, an analysis is performed to obtain a first consequence characteristic.

[0116] In some embodiments, the processor may analyze the voltage sag amplitude-duration severity comprehensive index based on the equipment tolerance curve in combination with the voltage sag amplitude to obtain the first consequence characteristic.

[0117] In some embodiments, the expression of the first consequence characteristic may be:

[0118]

[0119]

[0120]

[0121]

[0122] in, Indicates the first consequence characteristic, represents the probability of the g-th voltage sag event in the r-th month causing the failure of the main equipment in the k-th link, MSI represents the voltage sag amplitude severity index, DSI represents the duration severity index, T represents the voltage sag duration, T max Indicates the time upper limit of the tolerance of sensitive equipment, T min Indicates the lower time limit of the tolerance of sensitive equipment, U max Indicates the upper limit of the amplitude of the tolerance of sensitive equipment, U represents the voltage sag amplitude, U min Indicates the lower limit of the amplitude of the tolerance of sensitive equipment.

[0123] Based on the process parameter curve, the degree of physical parameter deviation is analyzed to obtain a second consequence characteristic.

[0124] In some embodiments, the expression of the second consequence characteristic may be:

[0125]

[0126] in, Indicates the second consequence characteristic, P nom Indicates the standard value of the physical parameter, parameter indicates the process physical parameter value at the end of a single voltage sag event, P limit Indicates the limit value of a physical parameter.

[0127] Based on the voltage sag impact parameters, the energy flow and material flow of the production process are analyzed to obtain consequence degree data.

[0128] Consequence data reflects the extent to which voltage sags affect user production. For example, consequence data may include the consequences of energy flow, material flow, and value flow in the production process.

[0129] In some embodiments, the processor can obtain consequence degree data based on the voltage sag impact parameters by analyzing the energy flow and material flow of the production process based on the following steps: obtaining the energy flow consequences of the production process by analyzing the downtime time and the expected time; obtaining the material flow consequences of the production process by analyzing the defective quantity and the expected output and combining the energy flow consequences of the production process; obtaining the value flow consequences of the production process by calculation based on the energy flow consequences of the production process and the material flow consequences of the production process.

[0130] Downtime is the time when production equipment is not operating.

[0131] The expected time is the expected production time of the production equipment.

[0132] Defective quantity is the number of unqualified products in production.

[0133] Expected output is the expected production output.

[0134] In some embodiments, the processor may obtain downtime, expected time, defective quantity, and expected output based on historical production data and production conditions.

[0135] The energy flow consequences of a production process reflect the energy loss caused by a voltage sag. For example, when a voltage sag occurs, sensitive loads in industrial users cannot tolerate the low voltage for a certain period of time. These loads trip, resulting in power loss. This prevents the expected conversion of electrical energy into mechanical energy, impacting product output. The longer the trip, the more severe the impact of the voltage sag on energy flow.

[0136] In some embodiments, the production process energy flow consequences can be expressed as:

[0137]

[0138] in, It represents the severity of the output loss of product Y caused by the g-th voltage sag event in the r-th month, i.e. the consequence of the energy flow in the production process. t rg T represents the downtime of product Y caused by the g-th voltage sag event in the r-th month, r It represents the user's planned normal production time in month r, in h.

[0139] The material flow consequences of a production process reflect the losses caused by voltage sags to production materials. For example, when a voltage sag occurs, insufficient voltage supply can cause sensitive equipment to lose power, leading to insufficient power and a shift in physical operating parameters during the process. This creates hidden consequences that are transmitted and accumulated through layers of processes, ultimately manifesting as an increase in defective products.

[0140] In some embodiments, the production process material flow consequences can be expressed as:

[0141]

[0142] in, It represents the severity of the quality loss of product Y caused by the g-th voltage sag event in the r-th month, i.e. the consequence of the material flow in the production process, Q rg It indicates the number of defective products produced by users due to the g-th voltage sag event in the r-th month. represents the energy flow consequence of the production process, z r It represents the planned output per unit time of the user in month r.

[0143] The value stream consequences of a production process reflect the loss of production value caused by a voltage sag. For example, when a voltage sag occurs, the more severe the loss of energy and value flows, the lower the value flow. The impact of a voltage sag on energy and material flows ultimately affects the value flow of the user's industrial production.

[0144] In some embodiments, the production process value stream consequences can be represented as:

[0145]

[0146] Among them, y rg It indicates the severity of the value loss of product Y caused by the g-th voltage sag event in the r-th month, that is, the consequence of the value flow of the production process.

[0147] In some embodiments, the processor can obtain the energy flow consequences of the production process by comparing the downtime and the expected time; calculate the material flow consequences of the production process based on the energy flow consequences of the production process, the defective amount and the expected output; and obtain the value flow consequences of the production process by combining the energy flow consequences of the production process and the material flow consequences of the production process.

[0148] Based on the consequence characteristic data and the consequence degree data, the voltage sag consequence transfer model is used to analyze the transfer characteristics, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path.

[0149] The consequences of voltage sag reflect the impact of voltage sag on the entire production process. For example, the consequences of voltage sag can include explicit and implicit consequences such as the consequences of voltage sag in series transmission and the consequences of voltage sag in parallel transmission.

[0150] The consequence of series voltage sag is the consequence of voltage sag in series transmission.

[0151] In some embodiments, the expression for the consequence of series voltage sag can be:

[0152]

[0153] Among them, Y rg A represents the consequence vector of product Y suffering the g-th voltage sag event in the r-th month. k represents the influence coefficient matrix of the consequences of the k-link on the consequences of the k+1-link, X0 represents the initial consequence vector, B1 represents the influence coefficient matrix of the consequences of the first link on the product consequences, A represents the sensitive vector of the g-th voltage sag event in the r-th month of the first link, N Represents the impact coefficient matrix of N-link consequences, B N Represents the coefficient matrix of the impact of the Nth link consequence on the product consequence, represents the sensitive vector of the g-th voltage sag event in the r-th month of the N-th link, k represents the k-th link, and N represents the last link; where, They respectively represent the severity of the consequences of the g-th voltage sag event in the r-th month on the energy flow and material flow in the production process.

[0154] The parallel voltage sag consequence is the voltage sag consequence of parallel transmission.

[0155] Explicit consequences refer to the consequences that users can quickly perceive when a voltage sag occurs, such as interruption of industrial process operation and damage to production equipment.

[0156] The hidden consequence is that when the voltage sag occurs, the industrial process is not interrupted, but the final product contains more defective products than normally expected, causing a drop in production value, and users are unable to perceive and intervene in time.

[0157] In some embodiments, the processor can implement the following steps based on the consequence characteristic data and the consequence degree data, use the voltage sag consequence transfer model to analyze the transfer characteristics, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path.

[0158] The transfer characteristic is identified to obtain an identification result.

[0159] When the identification result is series transfer, a series transfer characteristic model is obtained based on the consequence characteristic data and the consequence degree data and using the voltage sag consequence transfer characteristics of adjacent production links.

[0160] The series transfer characteristic model is a model that reflects the consequence transfer characteristics of series transfer.

[0161] In some embodiments, the expression of the series transfer characteristic model may be:

[0162]

[0163]

[0164]

[0165] in, A represents the consequence vector of link k under the g-th voltage sag event in the r-th month, k-1 represents the coefficient matrix of the impact of the consequences of the k-1 link on the consequences of the k link, represents the consequence vector of the k-1 link under the g-th voltage sag event in the r-th month, B k Represents the coefficient matrix of the impact of k-link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of link k, a 1,k-1 Indicates the highest value of the energy flow in the k-1 link affected by the historical voltage sag event, a 2,k-1 Indicates the highest value of the material flow in the k-1 link affected by the historical voltage sag event, b 1k Indicates the highest value of the energy flow in link k affected by historical voltage sag events, b 2k It indicates the highest value of the material flow in the k-link affected by the historical voltage sag event. They respectively represent the sensitivity of the energy flow and material flow in the k-th link to the g-th voltage sag event in the r-th month.

[0166] When the identification result is parallel transmission, based on the consequence characteristic data and the consequence degree data, the transmission characteristics are analyzed according to the synchronous scenario, the dispersed scenario and the converged scenario of the parallel transmission respectively to obtain a parallel transmission characteristic model.

[0167] The synchronous scenario is a delivery relationship scenario that occurs sequentially.

[0168] A dispersed scenario is a scenario where one path is dispersed into multiple paths for delivery.

[0169] The convergence scenario is a scenario where multiple paths are converged into one transmission path.

[0170] The parallel transfer characteristic model is a model that reflects the consequential transfer characteristics of parallel transfer.

[0171] In some embodiments, the processor can implement the following steps: when the identification result is parallel transmission, based on the consequence characteristic data and the consequence degree data, analyze the transmission characteristics according to the synchronous scenario, dispersed scenario and convergent scenario of parallel transmission respectively to obtain a parallel transmission characteristic model.

[0172] Based on the consequence characteristic data and the consequence degree data, a transfer characteristic expression of the dispersion scenario is constructed:

[0173]

[0174]

[0175] in, A represents the consequence vector of the first device in the k-1 link under the g-th voltage sag event in the r-th month, k-2 represents the coefficient matrix of the impact of the consequences of the k-2 link on the consequences of the k-1 link, represents the first dummy variable, B k-1 represents the coefficient matrix of the impact of k-1 link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-1 link, represents the consequence vector of the k-2 link under the g-th voltage sag event in the r-th month, represents the second dummy variable.

[0176] Based on the consequence characteristic data and the consequence degree data, a transfer characteristic expression of the convergence scenario is constructed:

[0177]

[0178]

[0179] in, A represents the consequence vector of the k+1 link under the g-th voltage sag event in the r-th month, k represents the coefficient matrix of the impact of the consequences of the k-link on the consequences of the k+1-link, represents the consequence vector of link k under the g-th voltage sag event in the r-th month, B k+1 Represents the coefficient matrix of the impact of k+1 link consequences on product consequences, It represents the sensitive vector of the g-th voltage sag event in the r-th month of the k+1 link.

[0180] The serial transfer characteristic model is used to construct a transfer characteristic expression for a synchronization scenario.

[0181] The transfer characteristic expression of the decentralized scenario, the transfer characteristic expression of the converged scenario, and the transfer characteristic expression of the synchronous scenario are integrated to obtain a parallel transfer characteristic model.

[0182] Based on the series transfer characteristic model and the parallel transfer characteristic model, a voltage sag consequence transfer model is constructed to analyze the transfer characteristics, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path.

[0183] In some embodiments, the expression for the evolution path of the voltage sag consequence may be:

[0184]

[0185] Among them, Φ k B k The matrix composed of represents the evolution path of voltage sag consequences, Y rg Indicates the consequences of voltage sag, Φ k represents the state transition matrix, B k represents the influence coefficient matrix, It represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-th link, k represents the k-th link, and l represents the total number of links.

[0186] In some embodiments, the processor can identify the weak links of voltage sag in the production process based on the evolution path of the voltage sag consequences, and use them as priority management targets to support the optimization decision of the management plan.

[0187] In some embodiments of this specification, the processor uses a voltage sag consequence transmission model to analyze consequence characteristic data and consequence severity data to obtain a voltage sag consequence evolution path. This approach allows for an accurate and comprehensive characterization of voltage sag consequences, integrating the voltage sag consequence types and manifestations along the voltage sag consequence evolution path. By promptly identifying latent consequences, weak links in the production process related to voltage sag can be identified, allowing the transmission and evolution of latent consequences to be promptly blocked, preventing the deterioration and aggravation of consequences and mitigating the severity of explicit consequences. The voltage sag consequence transmission model can effectively improve the efficiency and value of a user's production process.

[0188] It will be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention may be implemented in various computer languages, for example, the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0189] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0190] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0191] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0192] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0193] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for identifying the evolution path of voltage sag consequences, characterized in that: include: Obtain voltage sag characteristic parameters and voltage sag impact parameters; Based on the voltage sag characteristic parameters, corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve are used for analysis to obtain consequence characteristic data; Based on the voltage sag impact parameters, the energy flow and material flow of the production process are analyzed to obtain consequence degree data; Identifying the transfer characteristics and obtaining an identification result; the identification result includes serial transfer and parallel transfer; When the identification result is series transmission, based on the consequence characteristic data and the consequence degree data, a series transmission characteristic model is obtained by utilizing the voltage sag consequence transmission characteristics of adjacent production links; When the identification result is parallel transmission, based on the consequence characteristic data and the consequence degree data, the transmission characteristics are analyzed according to the synchronous scenario, the dispersed scenario, and the converged scenario of the parallel transmission to obtain a parallel transmission characteristic model; Based on the series transfer characteristic model and the parallel transfer characteristic model, a voltage sag consequence transfer model is constructed to analyze the transfer characteristics, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path; the expression of the voltage sag consequence evolution path is: ； in, The matrix composed of represents the evolution path of voltage sag consequences, Indicates the consequences of voltage sag, represents the state transition matrix, Represents the coefficient matrix of the impact of k-link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-th link, Indicates the links, Indicates the total number of links.

2. The method for identifying the evolution path of voltage sag consequences according to claim 1, characterized in that: The voltage sag characteristic parameters are analyzed using the corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve to obtain the consequence characteristic data, including: By analyzing the production equipment and operating parameters, an equipment tolerance curve and a process parameter curve are obtained; the equipment tolerance curve and the process parameter curve are voltage sag characteristic parameters; Based on the equipment tolerance curve and combined with the voltage sag amplitude, an analysis is performed to obtain a first consequence characteristic; Based on the process parameter curve, the degree of physical parameter deviation is analyzed to obtain a second consequence characteristic; wherein the first consequence characteristic and the second consequence characteristic belong to the consequence characteristic data.

3. The method for identifying the evolution path of voltage sag consequences according to claim 2, characterized in that: The first consequence characteristics obtained by analyzing the device tolerance curve in combination with the voltage sag amplitude include: Based on the equipment tolerance curve, the voltage sag amplitude-duration severity comprehensive index is used, combined with the voltage sag amplitude for analysis, to obtain the first consequence characteristic: ； ； ； ； in, Indicates the first consequence characteristic, represents the probability of the g-th voltage sag event in the r-th month causing the failure of the main equipment in the k-th link, Indicates the severity index of voltage sag amplitude, Indicates the duration severity indicator, Indicates the duration of voltage sag, Indicates the upper time limit of the tolerance of sensitive equipment, Indicates the lower time limit of the tolerance of sensitive equipment, Indicates the upper limit of the amplitude of the tolerance of sensitive equipment, Indicates the voltage sag amplitude, Indicates the lower limit of the amplitude of the tolerance of sensitive equipment.

4. The method for identifying the evolution path of voltage sag consequences according to claim 2, characterized in that: The expression of the second consequence characteristic is: ； in, Indicates the second consequence characteristic, Indicates the standard value of a physical parameter, Indicates the process physical parameter value at the end of a single voltage sag event. Indicates the limit value of a physical parameter.

5. The method for identifying the evolution path of voltage sag consequences according to claim 1, characterized in that: The consequence degree data obtained by analyzing the energy flow and material flow of the production process based on the voltage sag impact parameter includes: By analyzing the downtime and expected time, the energy flow consequences of the production process are obtained; By analyzing the defective quantity and the expected output, and combining the energy flow consequence of the production process, the material flow consequence of the production process is obtained; wherein the downtime, the expected time, the defective quantity and the expected output are voltage sag impact parameters; Based on the energy flow consequences of the production process and the material flow consequences of the production process, the value flow consequences of the production process are obtained through calculation; wherein, the energy flow consequences of the production process, the material flow consequences of the production process and the value flow consequences of the production process belong to consequence degree data.

6. The method for identifying the evolution path of voltage sag consequences according to claim 1, characterized in that: The expression of the series transfer characteristic model is: ； ； ； in, represents the consequence vector of link k under the g-th voltage sag event in the r-th month, represents the coefficient matrix of the impact of the consequences of the k-1 link on the consequences of the k link, represents the consequence vector of the k-1 link under the g-th voltage sag event in the r-th month, Represents the coefficient matrix of the impact of k-link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k-th link, It indicates the highest value of the energy flow of k-1 link affected by the historical voltage sag event. Indicates the highest value of the material flow in the k-1 link affected by the historical voltage sag event, It indicates the highest value of the energy flow in the k-link affected by the historical voltage sag event. It indicates the highest value of the material flow in the k-link affected by the historical voltage sag event. 、 They respectively represent the sensitivity of the energy flow and material flow in the k-th link to the g-th voltage sag event in the r-th month.

7. The method for identifying the evolution path of voltage sag consequences according to claim 1, characterized in that: When the identification result is parallel transmission, based on the consequence characteristic data and the consequence degree data, the transmission characteristics are analyzed according to the synchronization scenario, the dispersion scenario, and the convergence scenario of the parallel transmission respectively to obtain the parallel transmission characteristic model, which includes: Based on the consequence characteristic data and the consequence degree data, a transfer characteristic expression of the dispersion scenario is constructed: ； ； in, represents the consequence vector of the first device in the k-1 link under the g-th voltage sag event in the r-th month, represents the coefficient matrix of the impact of the consequences of the k-2 link on the consequences of the k-1 link, represents the first dummy variable, represents the coefficient matrix of the impact of k-1 link consequences on product consequences, represents the sensitivity vector of the first device in the g-th voltage sag event in the r-th month of the k-1 link, represents the consequence vector of the k-2 link under the g-th voltage sag event in the r-th month, represents the second dummy variable; Based on the consequence characteristic data and the consequence degree data, a transfer characteristic expression of the convergence scenario is constructed: ； ； in, Indicates the r Month g Under the voltage sag event k +1 link consequence vector, represents the coefficient matrix of the impact of the consequences of the k-link on the consequences of the k+1-link, Indicates the r Month g Under the voltage sag event k The consequence vector of the link, Represents the coefficient matrix of the impact of k+1 link consequences on product consequences, represents the sensitive vector of the g-th voltage sag event in the r-th month of the k+1 link, represents the consequence vector of the first device in the k-th link under the g-th voltage sag event in the r-th month, It represents the consequence vector of the sth device in the kth link under the gth voltage sag event in the rth month; Using the series transfer characteristic model, constructing a transfer characteristic expression for a synchronization scenario; The transfer characteristic expression of the decentralized scenario, the transfer characteristic expression of the converged scenario, and the transfer characteristic expression of the synchronous scenario are integrated to obtain a parallel transfer characteristic model.

8. A device for identifying a voltage sag consequence evolution path, used to execute the method for identifying a voltage sag consequence evolution path according to any one of claims 1 to 7, characterized in that: include: An acquisition module, used to obtain voltage sag characteristic parameters and voltage sag impact parameters; a parameter determination module for analyzing, based on the voltage sag characteristic parameters, corresponding boundary values ​​of the equipment tolerance curve and the process parameter curve to obtain consequence characteristic data; and analyzing, based on the voltage sag impact parameters, energy flow and material flow of the production process to obtain consequence degree data; The identification module is used to analyze the transfer characteristics based on the consequence characteristic data and the consequence degree data using the voltage sag consequence transfer model, obtain the voltage sag consequence evolution path, and complete the identification of the voltage sag consequence evolution path.

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