Control system of industrial electric energy quality control cabinet

Abstract

The invention discloses a control system of an industrial power quality control cabinet, and particularly relates to the field of industrial automation, which comprises a real-time data acquisition module, an industrial load characteristic identification module, a signal preprocessing module, a balance control module, a system fault diagnosis module, an emergency response module and a control decision output module. According to the control system of the industrial electric energy quality control cabinet, the acquisition frequency and precision are improved through the real-time data acquisition module, the parameter acquisition range is expanded, and more comprehensive and detailed power grid electric energy quality information is provided for the system; a plurality of characteristic identification technologies are adopted through an industrial load characteristic identification module, a dynamic tracking unit tracks load changes in real time, and diversified and complicated industrial load characteristics and influences of the changes on electric energy quality are accurately identified; and the emergency response module adjusts according to the reactive power compensation amount and the filtering control parameter calculation formula to improve the response speed of the sudden electric energy quality problem.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial automation, and more specifically, to a control system of an industrial power quality control cabinet. Background Art

[0002] With the continuous advancement of industrial automation and intelligentization, the importance of power quality control has become increasingly prominent. The quality of power is directly related to the stability and efficiency of industrial production, especially in industries such as precision manufacturing, semiconductors, and data centers that have extremely high requirements for power quality. Any power quality problem may lead to production interruptions, equipment damage, or product quality decline.

[0003] At present, the existing power quality control technology and equipment have certain limitations in function and performance, and it is difficult to meet the high requirements of industrial production for power quality. By monitoring and controlling power quality parameters such as voltage fluctuation, harmonic content, power factor, etc. through the control system, the service life of the equipment can be extended and the maintenance cost can be reduced.

[0004] However, in actual use, it still has some shortcomings, such as insufficient adaptability to complex power grid environments; diversified and complex industrial loads affect power quality issues; and there is a certain lag in response speed when dealing with sudden power quality issues. Summary of the invention

[0005] In order to overcome the above defects of the prior art, the present invention provides a control system for an industrial power quality control cabinet, which solves the problems raised in the above background technology through the following scheme.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A control system for an industrial power quality control cabinet, comprising a system operation database, a system central processing module and a user information terminal, characterized in that it also comprises:

[0008] Real-time data acquisition module: used to monitor and collect various parameters of power quality of the power grid in real time and obtain target power parameters;

[0009] Industrial load characteristic identification module: used to monitor the power grid environment in real time, identify and obtain the target power load, and the target power load is used to analyze the changing trend of the power grid environment;

[0010] Signal preprocessing module: used for preprocessing target electric energy parameters and target electric energy load, the preprocessing operation is used to obtain electric energy load characteristics corresponding to the target electric energy parameters and target electric energy load;

[0011] Balance control module: used to obtain an electric energy balance control model, adjust the balance of the three-phase current according to the electric energy load characteristics of the electric energy balance control model, and obtain an intelligent electric energy control strategy, including an electric energy load characteristic receiving unit, an electric energy load characteristic analyzing unit, an electric energy balance control model building unit, a three-phase current adjusting unit, an intelligent electric energy control strategy generating unit, and an intelligent electric energy control strategy output unit;

[0012] System fault diagnosis module: used to monitor the system working status in real time through communication, compare the power quality status before and after balancing, and diagnose the power quality;

[0013] Emergency response module: used to diagnose the sudden power quality problems output by the system fault diagnosis module, initiate emergency measures, and send signals to the balance control module to adjust the intelligent power control strategy;

[0014] Control decision output module: used to provide an interactive interface between operators and the control system to display the operating status of the control system, power load characteristics, intelligent power control strategy, and fault information;

[0015] The system operation database includes all data texts of the control system of the industrial power quality control cabinet, and collects the information text output by each module in real time. The system central processing module is used for the information text instructions output by each module in the central control system, and the user information terminal is an information output device for receiving the control system of the industrial power quality control cabinet.

[0016] Preferably, the real-time data acquisition module, the target electric energy parameters include capacitance value, real-time fluctuation of phase voltage, effective value of phase voltage, effective value of rated voltage, effective value of three-phase current, peak value of three-phase current, power factor, effective value, amplitude and phase of each harmonic voltage, effective value of fundamental voltage, effective value of fundamental current, and effective value, amplitude and phase of each harmonic current.

[0017] Preferably, the industrial load characteristic identification module includes a target power parameter receiving unit, a load characteristic identification unit, a dynamic tracking unit, and a target power load output unit;

[0018] The target electric energy parameter receiving unit is used to receive the target electric energy parameter transmitted by the real-time data acquisition module;

[0019] The load characteristic identification unit is used to identify the characteristics of the target electric energy load by using the characteristic identification technology on the received target electric energy parameters;

[0020] The dynamic tracking unit is used to dynamically track the changes in the electric energy load in real time and update the load characteristic information;

[0021] The target electric energy load output unit is used to determine the target electric energy load according to the load characteristic identification unit and the dynamic tracking unit.

[0022] Preferably, the signal preprocessing module has the following preprocessing steps:

[0023] Data cleaning: remove abnormal values ​​and erroneous data in target power parameters and target power loads caused by acquisition equipment failure or electromagnetic interference;

[0024] Filtering: Use low-pass filter, high-pass filter or band-pass filter to filter the target electric energy parameters according to the noise in different frequency ranges to remove high-frequency noise and interference components;

[0025] Noise reduction: Use wavelet transform algorithm to perform secondary processing on filtered data to reduce the noise level in the data;

[0026] Feature extraction: Use principal component analysis for feature extraction;

[0027] Digital processing: converting target power parameters and target power load data in analog signal form into digital signal form.

[0028] Preferably, the balance control module obtains the electric energy balance control model, specifically including:

[0029] The electric energy load characteristic analysis unit is used to analyze the electric energy load characteristic to calculate the electric energy quality index, and the electric energy quality index includes the voltage deviation rate, the current unbalance rate, the voltage total harmonic distortion rate, and the current total harmonic distortion rate;

[0030] The calculation formula of voltage deviation rate is specifically expressed as:

[0031] ΔU%=((UU N ) / U N) ×100%,

[0032] Among them, ΔU% represents the voltage deviation rate, U represents the effective value of the phase voltage, and U N Expressed as the rated voltage effective value;

[0033] The calculation formula of current unbalance rate is specifically expressed as:

[0034] ε I =((I max -I min ) / ((I a +I b +I c ) / 3))×100%,

[0035] Among them, ε I Expressed as current unbalance ratio, Imax Expressed as the maximum value among the three-phase currents, I min Expressed as the minimum value of the three-phase current, I a Expressed as the effective value of phase A current, I b Expressed as the effective value of phase B current, I c Expressed as the effective value of phase C current;

[0036] The calculation formula of voltage total harmonic distortion rate is specifically expressed as:

[0037]

[0038] Among them, THD U Expressed as voltage total harmonic distortion, U h Expressed as the effective value of the hth harmonic voltage, U 1 It is expressed as the effective value of the fundamental voltage, and h is expressed as the harmonic order;

[0039] The calculation formula of total harmonic distortion rate of current is specifically expressed as:

[0040]

[0041] Among them, THD I Expressed as the total harmonic distortion of current, I h Expressed as the effective value of the hth harmonic current, I 1 It is expressed as the effective value of the fundamental current, and h is expressed as the harmonic order.

[0042] Preferably, the balancing control module obtains the intelligent power control strategy, specifically including:

[0043] The intelligent power control strategy generation unit generates an intelligent power control strategy based on the power balance control model and the three-phase current adjustment measures;

[0044] An intelligent control algorithm is used to analyze the power load characteristics, the three-phase current balance adjustment and the output of the power balance control model, to determine the control strategy for reactive power compensation, the control strategy for filtering parameters and the guidance strategy for load distribution and adjustment, so as to obtain an intelligent power control strategy.

[0045] Preferably, the system fault diagnosis module diagnoses the power quality specifically including:

[0046] Use multiple communication methods to obtain the working status of each module in the industrial power quality control system, including but not limited to Wi-Fi, Ethernet, etc.;

[0047] Determine whether each module is working properly and whether a fault code appears;

[0048] Real-time monitoring of various indicators of power quality, including voltage deviation rate, current unbalance rate, and total harmonic distortion rate, and comparison with pre-set standard values;

[0049] By comparing and analyzing the status of power quality before and after balancing, if the power quality indicators after balancing are not optimized or even deteriorate, sudden power quality problems are sent to the emergency response module.

[0050] Preferably, the emergency response module and the emergency measures specifically include:

[0051] The calculation formula of reactive power compensation is specifically expressed as:

[0052] ΔQ=THD I ×tan(arccos(cosφ2))-THD U ×tan(arccos(cosφ1)),

[0053] Where ΔQ represents the reactive power compensation amount, cosφ1 represents the power factor, cosφ2 represents the target power factor, cosφ1=(ΔU%×ε I ) / (THD I ), cosφ2=(ΔU%×ε I ) / (THD U ) Among them, THD I Expressed as total harmonic distortion of current, THD U It is expressed as the voltage total harmonic distortion rate, ΔU% is expressed as the voltage deviation rate, ε I Expressed as current unbalance ratio;

[0054] The calculation formula of the filter control parameter is specifically expressed as:

[0055] L=(h×(THD U ×THD I) 2 ×C) -1，

[0056] Among them, L represents the filter control parameter, h represents the harmonic number, THD I Expressed as total harmonic distortion of current, THD U It is expressed as the total harmonic distortion rate of voltage, and C is the capacitance value.

[0057] To achieve the above object, the present invention provides the following technical solution: a control method for an industrial power quality control cabinet, implementing the control system of the above industrial power quality control cabinet, comprising:

[0058] S1: Collect target power parameters: monitor and collect various parameters of power quality of the power grid in real time to obtain target power parameters;

[0059] S2: Identify industrial load characteristics: monitor the power grid environment in real time, identify and obtain the target power load, and the target power load is used to analyze the changing trend of the power grid environment;

[0060] S3: preprocessing the target electric energy signal: preprocessing the target electric energy parameter and the target electric energy load, the preprocessing operation is used to obtain the electric energy load characteristics corresponding to the target electric energy parameter and the target electric energy load;

[0061] S4: Balance control of electric energy: obtain an electric energy balance control model, adjust the balance of three-phase current according to the electric energy load characteristics of the electric energy balance control model, and obtain an intelligent electric energy control strategy;

[0062] S5: Diagnose system failure: monitor the system working status in real time through communication, compare the power quality status before and after balancing, and diagnose the power quality;

[0063] S6: Response emergency measures: The system fault diagnosis module is used to diagnose the sudden power quality problem of the output, start the emergency measures, and send a signal to the balance control module to adjust the intelligent power control strategy;

[0064] S7: Output control decision: Provides an interactive interface between the operator and the control system to display the operating status of the control system, power load characteristics, intelligent power control strategy, and fault information.

[0065] Technical effects and advantages of the present invention:

[0066] 1. The present invention improves the acquisition frequency and accuracy through the real-time data acquisition module, expands the acquisition parameter range, and provides the system with more comprehensive and detailed power quality information of the power grid;

[0067] 2. The present invention adopts a variety of characteristic recognition technologies through the industrial load characteristic recognition module, and the dynamic tracking unit tracks the load changes in real time, accurately identifying the influence of the diversified and complex industrial load characteristics and their changes on the power quality;

[0068] 3. The present invention improves the response speed to sudden power quality problems by adjusting the emergency response module according to the reactive power compensation amount and the filter control parameter calculation formula. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 It is a system flow chart of the present invention.

[0070] Figure 2 It is a system step diagram of the present invention.

[0071] Figure 3 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0072] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0073] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to and includes any or all possible combinations of one or more listed items.

[0074] In the following, the terms "first", "second", and "third" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", and "third" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0075] As attached Figure 1 The control system of an industrial power quality control cabinet shown includes a system operation database, a system central processing module and a user information terminal, and also includes a real-time data acquisition module, an industrial load characteristic identification module, a signal preprocessing module, a balance control module, a system fault diagnosis module, an emergency response module, and a control decision output module.

[0076] The system operation database includes all data texts of the industrial power quality control system and collects the information text output by each module in real time. The system central processing module is used for the information text instructions output by each module in the central control system. The user information terminal is an information output device for receiving the industrial power quality control system.

[0077] The real-time data acquisition module is used to monitor and collect various parameters of the power quality of the power grid in real time and obtain the target power parameters.

[0078] Specifically, the industrial power quality control cabinet monitors and collects various key parameters of the target power grid through corresponding sensors with high frequency and high precision, and installs the sensors at key nodes to avoid electromagnetic interference; the industrial power quality control cabinet constructs a power parameter acquisition circuit, which is responsible for receiving the analog signal output by the sensor and performing analog-to-digital conversion on the collected data; it should be noted that the power parameter acquisition circuit is connected to the sensor; all collected data are simultaneously transmitted to the industrial load characteristic identification module and the signal preprocessing module.

[0079] In one possible implementation, the target electrical energy parameters include capacitance value, real-time fluctuation of phase voltage, effective value of phase voltage, effective value of rated voltage, effective value of three-phase current, peak value of three-phase current, power factor, effective value, amplitude and phase of each harmonic voltage, effective value of fundamental voltage, effective value of fundamental current, and effective value, amplitude and phase of each harmonic current.

[0080] In this embodiment, a voltage sensor with high linearity and wide measurement range is used to monitor and collect the voltage of the target power grid; a current sensor that can measure different current levels and has good anti-interference ability is used to monitor and collect the current of the target power grid.

[0081] In this embodiment, the electric energy parameter acquisition circuit is initialized, and the initialization operation includes setting the amplification factor, setting the filtering parameters, and setting the resolution of the analog-to-digital conversion to ensure that the output target electric energy parameters can reflect the actual target power grid power quality.

[0082] The industrial load characteristic identification module is used to monitor the power grid environment in real time, identify and obtain the target power load, and the target power load is used to analyze the changing trend of the power grid environment.

[0083] Specifically, the industrial load characteristic identification module identifies and obtains the target electric energy load by real-time monitoring of the power grid environment and the received target electric energy parameters, and includes a target electric energy parameter receiving unit, a load characteristic identification unit, a dynamic tracking unit, and a target electric energy load output unit;

[0084] It should be noted that the target electric energy parameter receiving unit is used to receive the target electric energy parameter transmitted by the real-time data acquisition module;

[0085] It should be noted that the load characteristic identification unit is used to identify the characteristics of the target electric energy load by using the characteristic identification technology on the received target electric energy parameters;

[0086] In one possible implementation, the power characteristics are identified by calculating the active power and reactive power of the electric energy load using voltage and current data and a power calculation formula, and determining the type of the electric energy load by analyzing the variation of the power over time, wherein the type of the electric energy load includes but is not limited to a constant power load and a variable power load;

[0087] In a possible implementation, the harmonic characteristics are identified by processing the harmonic content with the aid of a Fourier transform method to obtain the harmonic order and harmonic amplitude generated by the electric energy load;

[0088] In a possible implementation, the startup characteristics are identified by monitoring the current and voltage changes during the load startup process, obtaining the peak value of the startup current and the startup time, so as to determine the startup characteristics of the load;

[0089] It should be noted that the dynamic tracking unit is used to dynamically track the changes in the electric energy load in real time and update the load characteristic information;

[0090] It should be noted that the target electric energy load output unit is used to determine the target electric energy load according to the load characteristic identification unit and the dynamic tracking unit.

[0091] In a possible implementation, the target electric energy load includes the topology of the power grid, line impedance, short-circuit capacity, power characteristics, harmonic characteristics, and startup characteristics of the electric energy load.

[0092] The signal preprocessing module is used to preprocess the target electric energy parameters and the target electric energy load, and the preprocessing operation is used to obtain the electric energy load characteristics corresponding to the target electric energy parameters and the target electric energy load.

[0093] Specifically, after obtaining the target power parameters transmitted by the real-time data acquisition module, the industrial power quality control system obtains the target power parameters and multiple power load characteristics corresponding to the target power load through preprocessing operations. The preprocessing steps are as follows:

[0094] Data cleaning: remove abnormal values ​​and erroneous data in target power parameters and target power loads caused by acquisition equipment failure or electromagnetic interference;

[0095] Filtering: Use low-pass filter, high-pass filter or band-pass filter to filter the target electric energy parameters according to the noise in different frequency ranges to remove high-frequency noise and interference components;

[0096] Noise reduction: Use wavelet transform algorithm to perform secondary processing on filtered data to reduce the noise level in the data;

[0097] Feature extraction: Use principal component analysis for feature extraction;

[0098] In this embodiment, for the target electric energy parameters, the voltage effective value, current effective value, power factor, and harmonic content are extracted; for the target electric energy load, the load type, load power, load harmonic characteristics, and load startup characteristics are extracted;

[0099] Digital processing: converting the target power parameters and target power load data in the form of analog signals into digital signal forms;

[0100] In a possible implementation, if the parameter itself is already in digital form, format conversion and standardization are performed to ensure that the data meets the requirements of the subsequent analysis algorithm.

[0101] The balance control module is used to obtain an electric energy balance control model, and adjust the balance of the three-phase current according to the electric energy balance control model through the electric energy load characteristics to obtain an intelligent electric energy control strategy.

[0102] Specifically, the power balance control model is a pre-constructed learning model. By inputting power load characteristics into the power balance control model, the power balance control model obtains an intelligent power control strategy based on the power load characteristics and sends the intelligent power control strategy to the control decision output module.

[0103] Specifically, the balance control module includes an electric energy load characteristic receiving unit, an electric energy load characteristic analyzing unit, an electric energy balance control model building unit, a three-phase current adjusting unit, an intelligent electric energy control strategy generating unit, and an intelligent electric energy control strategy output unit.

[0104] It should be noted that the electric energy load characteristic receiving unit is used to receive the electric energy load characteristic from the signal preprocessing module;

[0105] It should be noted that the power load characteristic analysis unit is used to analyze the power load characteristics to calculate the power quality index, which includes the voltage deviation rate, the current unbalance rate, the voltage total harmonic distortion rate, and the current total harmonic distortion rate;

[0106] Specifically, the calculation formula of the voltage deviation rate is specifically expressed as:

[0107] ΔU%=((UU N ) / U N) ×100%,

[0108] Among them, ΔU% represents the voltage deviation rate, U represents the effective value of the phase voltage, and U N It is expressed as the effective value of the rated voltage; the calculation formula of the current unbalance rate is specifically expressed as:

[0109] ε I =((I max -I min ) / ((Ia +I b +I c ) / 3))×100%,

[0110] Among them, ε I Expressed as current unbalance ratio, I max Expressed as the maximum value among the three-phase currents, I min Expressed as the minimum value of the three-phase current, I a Expressed as the effective value of phase A current, I b Expressed as the effective value of phase B current, I c It is expressed as the effective value of phase C current; the calculation formula of voltage total harmonic distortion rate is specifically expressed as:

[0111]

[0112] Among them, THD U Expressed as voltage total harmonic distortion, U h Expressed as the effective value of the hth harmonic voltage, U 1 It is expressed as the effective value of the fundamental voltage, h is expressed as the harmonic order; the calculation formula of the total harmonic distortion rate of current is specifically expressed as:

[0113]

[0114] Among them, THD I Expressed as the total harmonic distortion of current, I h Expressed as the effective value of the hth harmonic current, I 1 It is expressed as the effective value of fundamental current, and h is expressed as the harmonic order;

[0115] It should be noted that the power balance control model building unit builds the power balance control model based on physical rules;

[0116] In a possible implementation, the power balance control model uses a Markov chain model and determines the power balance state according to the power quality index provided by the power load characteristic analysis unit, which is specifically expressed as:

[0117] π k =[π 0 (1), π 0 (2), ..., π 0 (n)]×[P ij ] n×n，

[0118] Among them, π k It is expressed as the energy balance state after k-step transfer, π 0 Expressed as the probability of being in each power state at the initial moment, π 0(n) represents the probability of being in the nth state at the initial moment, [π 0 (1), π 0 (2), ..., π 0 (n)] is represented as an initial state probability vector containing n state probabilities, P ij It is expressed as the probability of transitioning from state i to state j, [P ij ] represents the transition probability from state i to state j, [P ij ] n×n It is represented as an n×n state transfer matrix, n represents the number of states of balanced power in the industrial power quality control system, i represents the row index in the state transfer matrix, j represents the column index in the state transfer matrix, and k represents the number of steps of the transfer;

[0119] It should be noted that the three-phase current adjustment unit is used to analyze the cause of the three-phase current imbalance according to the power balance control model and take adjustment measures;

[0120] In this embodiment, the load distribution is adjusted for the imbalance caused by load imbalance; compensation measures are taken for the imbalance caused by line impedance difference; and the imbalance caused by harmonic interference is filtered out by filtering technology to improve the balance of three-phase current.

[0121] It should be noted that the intelligent power control strategy generation unit generates the intelligent power control strategy based on the power balance control model and the three-phase current adjustment measures.

[0122] In one possible implementation, an intelligent control algorithm is used to analyze the electric energy load characteristics, the three-phase current balance adjustment and the output of the electric energy balance control model, and a control strategy for reactive power compensation, a control strategy for filtering parameters and a guiding strategy for load distribution and adjustment are determined to obtain an intelligent electric energy control strategy;

[0123] It should be noted that the intelligent power control strategy output unit is used to package and encode the generated intelligent power control strategy, add a check bit and identification information, and send it to the system fault diagnosis module.

[0124] The system fault diagnosis module is used to monitor the system working status in real time through communication, compare the status of power quality before and after balancing, and diagnose the power quality.

[0125] In a possible implementation, a system fault diagnosis module uses a variety of communication methods to obtain the working status of each module in the industrial power quality control system, including but not limited to Wi-Fi, Ethernet, etc.; judge whether each module is working normally and whether a fault code occurs; monitor various indicators of power quality in real time, including voltage deviation rate, current imbalance rate, and total harmonic distortion rate, and compare them with pre-set standard values; by comparing and analyzing the status of power quality before and after balancing, if the power quality indicators after balancing are not optimized or even deteriorate, send sudden power quality problems to the emergency response module.

[0126] In this embodiment, the real-time data acquisition module is monitored to see whether its acquisition frequency is normal and whether the acquired data is within a reasonable range; the balance control module is monitored to see whether its control strategy is executed normally and whether the three-phase current balance is effectively improved.

[0127] The emergency response module is used to diagnose sudden power quality problems output by the system fault diagnosis module, initiate emergency measures, and send signals to the balance control module for adjusting the intelligent power control strategy.

[0128] In a possible implementation, in response to sudden power quality problems, emergency measures are initiated, and the emergency measures include reactive power compensation and filtering control parameters.

[0129] In this embodiment, the sudden power quality problem includes the sudden type, severity, and occurrence time and location, wherein the sudden type includes but is not limited to voltage sag, voltage swell, harmonic surge, etc.; the severity includes but is not limited to the amplitude of the voltage sag, the proportion of increased harmonic content, etc.

[0130] In a possible implementation, the calculation formula of the reactive power compensation amount is specifically expressed as:

[0131] ΔQ=THD I ×tan(arccos(cosφ2))-THD U ×tan(arccos(cosφ1)),

[0132] Where ΔQ represents the reactive power compensation amount, cosφ1 represents the power factor, cosφ2 represents the target power factor, cosφ1=(ΔU%×ε I ) / (THD I ), cosφ2=(ΔU%×ε I ) / (THD U ) Among them, THD I Expressed as total harmonic distortion of current, THD U It is expressed as the voltage total harmonic distortion rate, ΔU% is expressed as the voltage deviation rate, ε IExpressed as current unbalance ratio.

[0133] In a possible implementation, the calculation formula of the filtering control parameter is specifically expressed as:

[0134] L=(h×(THD U ×THD I) 2 ×C) -1，

[0135] Among them, L represents the filter control parameter, h represents the harmonic number, THD I Expressed as total harmonic distortion of current, THD U It is expressed as the total harmonic distortion rate of voltage, and C is the capacitance value.

[0136] In this embodiment, when the voltage drops suddenly, the reactive power compensation is adjusted to increase the reactive power output, thereby increasing the voltage; when the harmonics increase suddenly, the filtering control parameters are increased.

[0137] The control decision output module is used to provide an interactive interface between the operator and the control system to display the operating status of the control system, power load characteristics, intelligent power control strategy, and fault information.

[0138] In one possible implementation, an operator can view the operating status, power load characteristics, intelligent power control strategy, and fault information of the control system through an interactive interface, and can also set up and operate the control system, including setting thresholds for control parameters.

[0139] As attached Figure 2 A control method for an industrial power quality control cabinet is shown, comprising: S1: collecting target power parameters, S2: identifying industrial load characteristics, S3: preprocessing target power signals, S4: balancing and controlling power, S5: diagnosing system faults, S6: responding to emergency measures, and S7: outputting control decisions.

[0140] S1: Collect target power parameters: monitor and collect various parameters of power quality of the power grid in real time to obtain target power parameters;

[0141] S2: Identify industrial load characteristics: monitor the power grid environment in real time, identify and obtain the target power load, and the target power load is used to analyze the changing trend of the power grid environment;

[0142] S3: preprocessing the target electric energy signal: preprocessing the target electric energy parameter and the target electric energy load, the preprocessing operation is used to obtain the electric energy load characteristics corresponding to the target electric energy parameter and the target electric energy load;

[0143] S4: Balance control of electric energy: obtain an electric energy balance control model, adjust the balance of three-phase current according to the electric energy load characteristics of the electric energy balance control model, and obtain an intelligent electric energy control strategy;

[0144] S5: Diagnose system failure: monitor the system working status in real time through communication, compare the power quality status before and after balancing, and diagnose the power quality;

[0145] S6: Response emergency measures: The system fault diagnosis module is used to diagnose the sudden power quality problem of the output, start the emergency measures, and send a signal to the balance control module to adjust the intelligent power control strategy;

[0146] S7: Output control decision: Provides an interactive interface between the operator and the control system to display the operating status of the control system, power load characteristics, intelligent power control strategy, and fault information.

[0147] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0148] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A control system for an industrial power quality control cabinet, comprising a system operation database, a system central processing module and a user information terminal, characterized in that: Also includes: Real-time data acquisition module: used to monitor and collect various parameters of power quality of the power grid in real time and obtain target power parameters; Industrial load characteristic identification module: used to monitor the power grid environment in real time, identify and obtain the target power load, and the target power load is used to analyze the changing trend of the power grid environment; Signal preprocessing module: used for preprocessing target electric energy parameters and target electric energy load, the preprocessing operation is used to obtain electric energy load characteristics corresponding to the target electric energy parameters and target electric energy load; Balance control module: used to obtain an electric energy balance control model, adjust the balance of the three-phase current according to the electric energy load characteristics of the electric energy balance control model, and obtain an intelligent electric energy control strategy, including an electric energy load characteristic receiving unit, an electric energy load characteristic analyzing unit, an electric energy balance control model building unit, a three-phase current adjusting unit, an intelligent electric energy control strategy generating unit, and an intelligent electric energy control strategy output unit; System fault diagnosis module: used to monitor the system working status in real time through communication, compare the power quality status before and after balancing, and diagnose the power quality; Emergency response module: used to diagnose the sudden power quality problems output by the system fault diagnosis module, initiate emergency measures, and send signals to the balance control module to adjust the intelligent power control strategy; Control decision output module: used to provide an interactive interface between operators and the control system to display the operating status of the control system, power load characteristics, intelligent power control strategy, and fault information; The system operation database includes all data texts of the control system of the industrial power quality control cabinet, and collects the information text output by each module in real time. The system central processing module is used for the information text instructions output by each module in the central control system, and the user information terminal is an information output device for receiving the control system of the industrial power quality control cabinet.

2. The control system of an industrial power quality control cabinet according to claim 1 is characterized in that: The real-time data acquisition module, the target electric energy parameters include capacitance value, real-time fluctuation of phase voltage, effective value of phase voltage, effective value of rated voltage, effective value of three-phase current, peak value of three-phase current, power factor, effective value, amplitude and phase of each harmonic voltage, effective value of fundamental voltage, effective value of fundamental current, and effective value, amplitude and phase of each harmonic current.

3. The control system of an industrial power quality control cabinet according to claim 1, characterized in that: The industrial load characteristic identification module includes a target electric energy parameter receiving unit, a load characteristic identification unit, a dynamic tracking unit, and a target electric energy load output unit; The target electric energy parameter receiving unit is used to receive the target electric energy parameter transmitted by the real-time data acquisition module; The load characteristic identification unit is used to identify the characteristics of the target electric energy load by using the characteristic identification technology on the received target electric energy parameters; The dynamic tracking unit is used to dynamically track the changes in the electric energy load in real time and update the load characteristic information; The target electric energy load output unit is used to determine the target electric energy load according to the load characteristic identification unit and the dynamic tracking unit.

4. The control system of an industrial power quality control cabinet according to claim 1, characterized in that: The signal preprocessing module has the following preprocessing steps: Data cleaning: remove abnormal values ​​and erroneous data in target power parameters and target power loads caused by acquisition equipment failure or electromagnetic interference; Filtering: Use low-pass filter, high-pass filter or band-pass filter to filter the target electric energy parameters according to the noise in different frequency ranges to remove high-frequency noise and interference components; Noise reduction: Use wavelet transform algorithm to perform secondary processing on filtered data to reduce the noise level in the data; Feature extraction: Use principal component analysis for feature extraction; Digital processing: converting target power parameters and target power load data in analog signal form into digital signal form.

5. The control system of an industrial power quality control cabinet according to claim 1, characterized in that: The balance control module obtains the electric energy balance control model, specifically including: The electric energy load characteristic analysis unit is used to analyze the electric energy load characteristic to calculate the electric energy quality index, and the electric energy quality index includes the voltage deviation rate, the current unbalance rate, the voltage total harmonic distortion rate, and the current total harmonic distortion rate; The calculation formula of voltage deviation rate is specifically expressed as: ΔU%=((UU N ) / U N )×100%, Among them, ΔU% represents the voltage deviation rate, U represents the effective value of the phase voltage, and U N Expressed as the rated voltage effective value; The calculation formula of current unbalance rate is specifically expressed as: ε I =((I max -I min ) / ((I a +I b +I c ) / 3))×100%, Among them, ε I Expressed as current unbalance ratio, I max Expressed as the maximum value among the three-phase currents, I min Expressed as the minimum value of the three-phase current, I a Expressed as the effective value of phase A current, I b Expressed as the effective value of phase B current, I c Expressed as the effective value of phase C current; The calculation formula of voltage total harmonic distortion rate is specifically expressed as: Among them, THD U Expressed as voltage total harmonic distortion, U h It is expressed as the effective value of the hth harmonic voltage, U1 is expressed as the effective value of the fundamental voltage, and h is expressed as the harmonic order; The calculation formula of total harmonic distortion rate of current is specifically expressed as: Among them, THD I Expressed as the total harmonic distortion of current, I h It is expressed as the effective value of the hth harmonic current, I1 is expressed as the effective value of the fundamental current, and h is expressed as the harmonic order.

6. The control system of an industrial power quality control cabinet according to claim 1, characterized in that: The balancing control module obtains the intelligent power control strategy, which specifically includes: The intelligent power control strategy generation unit generates an intelligent power control strategy based on the power balance control model and the three-phase current adjustment measures; An intelligent control algorithm is used to analyze the power load characteristics, the three-phase current balance adjustment and the output of the power balance control model, to determine the control strategy for reactive power compensation, the control strategy for filtering parameters and the guidance strategy for load distribution and adjustment, so as to obtain an intelligent power control strategy.

7. The control system of an industrial power quality control cabinet according to claim 1, characterized in that: The system fault diagnosis module diagnoses the power quality specifically including: Use multiple communication methods to obtain the working status of each module in the industrial power quality control system, including but not limited to Wi-Fi, Ethernet, etc.; Determine whether each module is working properly and whether a fault code appears; Real-time monitoring of various indicators of power quality, including voltage deviation rate, current unbalance rate, and total harmonic distortion rate, and comparison with pre-set standard values; By comparing and analyzing the status of power quality before and after balancing, if the power quality indicators after balancing are not optimized or even deteriorate, sudden power quality problems are sent to the emergency response module.

8. The control system of an industrial power quality control cabinet according to claim 1, characterized in that: The emergency response module and emergency measures specifically include: The calculation formula of reactive power compensation is specifically expressed as: ΔQ=THD I ×tan(arccos(cosφ2))-THD U ×tan(arccos(cosφ1)), Where ΔQ represents the reactive power compensation amount, cosφ1 represents the power factor, cosφ2 represents the target power factor, cosφ1=(ΔU%×ε I ) / (THD I ), cosφ2=(ΔU%×ε I ) / (THD U ) Among them, THD I Expressed as total harmonic distortion of current, THD U It is expressed as the voltage total harmonic distortion rate, ΔU% is expressed as the voltage deviation rate, ε I Expressed as current unbalance ratio; The calculation formula of the filter control parameter is specifically expressed as: L=(h×(THD U ×THD I) 2 ×C) -1， Among them, L represents the filter control parameter, h represents the harmonic number, THD I Expressed as total harmonic distortion of current, THD U It is expressed as the total harmonic distortion rate of voltage, and C is the capacitance value.

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