An off-grid inverter system with adaptive control

Abstract

The present invention relates to the technical field of off-grid inverter control systems, and provides an off-grid inverter system with adaptive control, including a load current monitoring terminal, an environmental disturbance monitoring terminal, an adaptive control analysis terminal, and an inverter control terminal; the load current monitoring terminal is used to monitor the inverter load current in real time; the environmental disturbance monitoring terminal is used to collect the external disturbance information of the off-grid inverter in real time; the adaptive control analysis terminal is used to perform adaptive control analysis according to the inverter load current and the external disturbance information, and generate adaptive control information; the inverter control terminal is used to control the output voltage of the off-grid inverter according to the adaptive control information. The present invention has the effect of improving the control quality of the system for the off-grid inverter.

Description

Technical Field

[0001] The present invention relates to the technical field of off-grid inverter control systems, and particularly to an off-grid inverter system with adaptive control. Background Art

[0002] With the rapid development of new energy technologies, especially the large-scale application of renewable energy such as solar energy and wind energy, off-grid inverters, as key equipment in new energy grid-connected systems, play an important role in off-grid power supply. However, in practical applications, off-grid inverters face various challenges, including frequent load changes, unstable environmental conditions, high power quality requirements, etc. Therefore, how to improve the stability, efficiency, and adaptability of off-grid inverter systems to external changes has become a research hotspot.

[0003] Many off-grid inverter systems have now been developed. After a large amount of retrieval and reference by us, it is found that the off-grid inverter systems in the prior art are such as those disclosed in CN113708415A, CN113708405A, CN114884213A, EP2518888A2, US20210408938A1. These off-grid inverter systems generally include: a data monitoring terminal, a data analysis terminal, and an inverter control terminal; the data monitoring terminal is used to monitor the operating data and load data of the off-grid inverter; the data analysis terminal is used to perform data analysis based on the operating data and load data; the inverter control terminal is used to execute off-grid inverter control operations according to the analysis results. Due to the relatively single control method of the above off-grid inverter systems and the lack of an accurate control analysis process, there is a defect that the control quality of the system for off-grid inverters decreases. Summary of the Invention

[0004] The purpose of the present invention is to propose an off-grid inverter system with adaptive control in view of the deficiencies of the above off-grid inverter systems.

[0005] The present invention adopts the following technical solutions:

[0006] An off-grid inverter system with adaptive control includes a load current monitoring terminal, an environmental disturbance monitoring terminal, an adaptive control analysis terminal, and an inverter control terminal; the load current monitoring terminal is used to monitor the inverter load current in real time; the environmental disturbance monitoring terminal is used to collect external disturbance information of the off-grid inverter in real time; the adaptive control analysis terminal is used to perform adaptive control analysis based on the inverter load current and external disturbance information to generate adaptive control information; the inverter control terminal is used to control the output voltage of the off-grid inverter according to the adaptive control information.

[0007] The load current monitoring terminal includes a current acquisition module, a signal processing module, and a data transmission module; the current acquisition module is used to collect the load current data of the inverter in real time; the signal processing module is used to filter the acquired current signal; the data transmission module is used to transmit the filtered load current data to the adaptive control analysis terminal.

[0008] Optionally, the environmental disturbance monitoring terminal includes an environmental sensing data acquisition module and a sensing data transmission module. The environmental sensing data acquisition module is used to collect external environmental disturbance information from environmental sensing devices in real time; the sensing data transmission module is used to transmit the environmental disturbance information to the adaptive control analysis terminal.

[0009] Optionally, the adaptive control analysis terminal includes a data analysis module, a control algorithm module, and a feedback generation module. The data analysis module is used to receive the load current data from the data transmission module and the external environmental disturbance information from the sensing data transmission module, perform analysis and processing, and extract features; the control algorithm module is used to calculate and generate adaptive control information according to the analysis results; the feedback generation module is used to transmit the adaptive control information calculated by the control algorithm to the inverter control terminal.

[0010] Optionally, the inverter control terminal includes a control signal module, a power adjustment module, and a voltage output module. The control signal module is used to receive the adaptive control information from the feedback generation module and generate corresponding control signals; the power adjustment module is used to adjust the power output of the inverter according to the control signals; the voltage output module is used to adjust the output voltage of the inverter according to the control signals.

[0011] Optionally, the data analysis module includes an output voltage regulation sub-module, an output frequency regulation sub-module, and an analysis result output sub-module; the output voltage regulation sub-module is used to perform output voltage regulation analysis based on the load current data and external environmental disturbance information and generate output voltage regulation information; the output frequency regulation sub-module is used to perform output frequency regulation analysis based on the load current data and external environmental disturbance information and generate output frequency regulation information; the analysis result output sub-module is used to output the output voltage regulation information and the output frequency regulation information as analysis results to the control algorithm module.

[0012] A control method for an off-grid inverter system with adaptive control is applied to the above off-grid inverter system with adaptive control. The control method for the off-grid inverter system with adaptive control includes:

[0013] S1, monitoring the load current of the inverter in real time;

[0014] S2. Collect the external disturbance information of the off-grid inverter in real time;

[0015] S3. Perform adaptive control analysis based on the inverter load current and external disturbance information to generate adaptive control information;

[0016] S4. Control the output voltage of the off-grid inverter according to the adaptive control information.

[0017] The beneficial effects achieved by the present invention are as follows:

[0018] 1. By setting up the load current monitoring terminal, environmental disturbance monitoring terminal, adaptive control analysis terminal and inverter control terminal, it is possible to collect the inverter load current and external environmental disturbance information in real time, which is beneficial to accurately obtain the system operation status, and then conduct targeted adaptive control analysis, thus facilitating the dynamic adjustment of the inverter output voltage, improving the system stability and reliability, and enhancing the control quality of the system for the off-grid inverter;

[0019] 2. By setting up the environmental sensing data acquisition module and sensing data transmission module in the environmental disturbance monitoring terminal, it is possible to collect and transmit the external environmental disturbance information of the off-grid inverter in real time, which is beneficial to comprehensively grasp the interference of external influencing factors on the inverter, and then provide sufficient data support for adaptive control analysis, thus facilitating the improvement of control accuracy and system adaptability;

[0020] 3. By setting up the data analysis module, control algorithm module and feedback generation module in the adaptive control analysis terminal, it is possible to comprehensively analyze the load current data and external environmental disturbance information, which is beneficial to extracting key features and generating accurate adaptive control information, and then effectively guiding the adjustment of the inverter operation parameters, thus facilitating the realization of the system's fast response ability to complex loads and environmental changes;

[0021] 4. By setting up the control signal module, power adjustment module and voltage output module in the inverter control terminal, it is possible to generate control signals according to the adaptive control information and adjust the power output and voltage output, which is beneficial to realizing the precise control of the inverter, and then adapting to different load requirements and environmental changes, thus facilitating the improvement of the system operation efficiency and power supply quality;

[0022] 5. By setting up the output voltage regulation sub-module, output frequency regulation sub-module and analysis result output sub-module in the data analysis module, it is possible to perform the regulation analysis of the output voltage and output frequency on the load current and external environmental disturbance information respectively, which is beneficial to generating accurate regulation information and providing it to the control algorithm module, and then realizing the coordinated regulation of voltage and frequency, thus facilitating the improvement of the output stability and adaptability of the off-grid inverter;

[0023] 6. By calculating and analyzing the inverter output voltage based on the load current and environmental disturbances, a correlation model of the influence of the load current and environmental disturbances on the output voltage is established, which can adaptively adjust the inverter output voltage, facilitating the stable operation of the inverter under different load and environmental conditions, thereby reducing voltage fluctuations caused by load changes or environmental disturbances, and thus contributing to improving the output voltage quality and reliability of the inverter system;

[0024] 7. By calculating and analyzing the output frequency based on the load current and environmental disturbances, and combining historical data weighted prediction and regulation sensitivity coefficients, a frequency adaptive regulation mechanism is established, which can dynamically regulate the output frequency of the inverter, facilitating adaptation to complex environments and load changes, and thus ensuring the stability of the inverter output frequency, and thereby contributing to enhancing the anti-disturbance ability and long-term operation frequency accuracy of the inverter system.

[0025] To enable a further understanding of the features and technical content of the present invention, please refer to the following detailed description of the present invention and the accompanying drawings. However, the provided drawings are only for reference and illustration, and are not intended to limit the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0027] Figure 2 It is a schematic diagram of the structure of the data analysis module in the present invention;

[0028] Figure 3 It is a schematic diagram of the method flow for optimizing parameters by the particle swarm optimization algorithm in the present invention;

[0029] Figure 4 It is a schematic diagram of the statistical results of the output voltage calculation in the present invention;

[0030] Figure 5 It is a schematic diagram of the method flow of a control method for an off-grid inverter system with adaptive control in the present invention;

[0031] Figure 6 It is a schematic diagram of the structure of the output frequency regulation sub-module in another embodiment of the present invention;

[0032] Figure 7 It is a schematic diagram of the statistical results of the output frequency calculation in another embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] The following are specific embodiments to illustrate the implementation manners of the present invention. Those skilled in the art can understand the advantages and effects of the present invention from the content disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and various details in this specification can also be modified and changed based on different viewpoints and applications without departing from the spirit of the present invention. Additionally, the drawings of the present invention are only for simple schematic illustration and are not drawn according to actual dimensions. This is stated in advance. The following implementation manners will further detail the related technical content of the present invention, but the disclosed content is not intended to limit the protection scope of the present invention.

[0034] Embodiment 1: This embodiment provides an off-grid inverter system with adaptive control. As shown in Figure 1 , an off-grid inverter system with adaptive control includes a load current monitoring terminal, an environmental disturbance monitoring terminal, an adaptive control analysis terminal, and an inverter control terminal; the load current monitoring terminal is used to monitor the inverter load current in real time; the environmental disturbance monitoring terminal is used to collect the external disturbance information of the off-grid inverter in real time; the adaptive control analysis terminal is used to perform adaptive control analysis based on the inverter load current and the external disturbance information to generate adaptive control information; the inverter control terminal is used to control the output voltage of the off-grid inverter according to the adaptive control information.

[0035] The load current monitoring terminal includes a current acquisition module, a signal processing module, and a data transmission module; the current acquisition module is used to collect the load current data of the inverter in real time; the signal processing module is used to filter the collected current signal; the data transmission module is used to transmit the filtered load current data to the adaptive control analysis terminal.

[0036] Optionally, the environmental disturbance monitoring terminal includes an environmental sensing data acquisition module and a sensing data transmission module. The environmental sensing data acquisition module is used to collect the external environmental disturbance information from the environmental sensing device in real time; the sensing data transmission module is used to transmit the environmental disturbance information to the adaptive control analysis terminal.

[0037] Optionally, the adaptive control analysis terminal includes a data analysis module, a control algorithm module, and a feedback generation module. The data analysis module is used to receive the load current data from the data transmission module and the external environmental disturbance information from the sensing data transmission module, perform analysis and processing, and extract features; the control algorithm module is used to calculate and generate adaptive control information according to the analysis result; the feedback generation module is used to transmit the adaptive control information calculated by the control algorithm to the inverter control terminal.

[0038] Optionally, the inverter control terminal includes a control signal module, a power adjustment module, and a voltage output module. The control signal module is configured to receive the adaptive control information from the feedback generation module and generate a corresponding control signal. The power adjustment module is configured to adjust the power output of the inverter according to the control signal. The voltage output module is configured to adjust the output voltage of the inverter according to the control signal.

[0039] Optionally, as shown in Figure 2 the data analysis module includes an output voltage regulation sub-module, an output frequency regulation sub-module, and an analysis result output sub-module. The output voltage regulation sub-module is configured to perform output voltage regulation analysis based on the load current data and external environmental disturbance information and generate output voltage regulation information. The output frequency regulation sub-module is configured to perform output frequency regulation analysis based on the load current data and external environmental disturbance information and generate output frequency regulation information. The analysis result output sub-module is configured to output the output voltage regulation information and the output frequency regulation information as analysis results to the control algorithm module.

[0040] Specifically, the output voltage regulation sub-module includes a chaos regulation coefficient calculation unit, an output voltage calculation unit, and an output voltage regulation information generation unit. The chaos regulation coefficient calculation unit is configured to select a chaos model and calculate a chaos regulation coefficient based on the load current data and external environmental disturbance information. The output voltage calculation unit is configured to calculate the output voltage based on the chaos regulation coefficient, the load current data, and the external environmental disturbance information. The output voltage regulation information generation unit is configured to generate corresponding output voltage regulation information based on the output voltage.

[0041] When the output voltage calculation unit is operating, the following formula is satisfied:

[0042] ;

[0043] where, V out (t) represents the output voltage calculated in real time; V nom represents the nominal voltage of the off-grid inverter, i.e., the standard output voltage value, generally 220V; λ represents the chaos regulation coefficient; μ represents the influence coefficient of the load current, with a value range between 0.1 and 0.5, generally 0.1; υ represents the influence coefficient of the environmental disturbance, with a value range between 0.1 and 0.3, generally 0.2; β represents the non-linear exponent; generally, β = 2; I load (t) represents the current value of the load current, obtained from the load current data; P env (t) represents the current value of the environmental disturbance, obtained from the environmental disturbance information.

[0044] The current value P of the environmental disturbance envThe specific calculation process of (t) is as follows:

[0045] First, standardize the environmental factors:

[0046] , where X norm (t) represents the standardized value; X(t) represents the original environmental data of various environmental factors. For example, when standardizing the temperature, X(t) corresponds to the temperature data monitored in the environmental disturbance information. Various environmental factors include temperature, humidity, light intensity, and air pressure. X min and X max are the minimum and maximum values of this environmental factor respectively, determined according to historical data or device specifications.

[0047] Then, assign a weight to the standardized value of each environmental factor to combine and obtain the overall environmental disturbance value P env (t):

[0048] , where w T represents the temperature weight coefficient; w H represents the humidity weight coefficient; w L represents the light intensity weight coefficient; w Pa represents the air pressure weight coefficient; the sum of the weight coefficients is 1. Generally, specifically: w T = 0.4, w H = 0.2, w L = 0.3, w Pa = 0.1; represents the value after standardizing the temperature factor; represents the value after standardizing the humidity factor; represents the value after standardizing the light intensity factor; represents the value after standardizing the air pressure factor.

[0049] In this embodiment, the chaos adjustment coefficient λ is used to adjust the output voltage of the inverter so that the output voltage can be adaptively adjusted according to the changes in the load current and environmental disturbance. To achieve this goal, a chaos dynamics model is used to calculate this coefficient. The selected chaos model is the Logistic map, which is a classic simple chaos system and is suitable for describing dynamic systems with nonlinear feedback characteristics. The standard form of the Logistic map is as follows:

[0050] ;

[0051] where x t represents the system state eigenvalue at time step t. In this embodiment, it represents any dynamic characteristic of the inverter, such as the load current value; r represents the control parameter; t represents the time step.

[0052] Combined with the standard form of the Logistic map, in order to enable the chaotic adjustment coefficient to adaptively adjust the output voltage of the inverter, the output of the system depends on the load current and environmental disturbances, and the influences of the two are combined by means of a weighting coefficient. The formula for calculating the chaotic adjustment coefficient λ is as follows:

[0053] ;

[0054] where α represents the adjustment coefficient of the load current; β represents the adjustment coefficient of the environmental disturbance; I load (t) represents the current value of the load current, obtained from the load current data; P env (t) represents the current value of the environmental disturbance, obtained from the environmental disturbance information. The adjustment coefficient of the load current and the adjustment coefficient of the environmental disturbance can both be set by the administrator according to experience. However, in order to ensure that the chaotic adjustment coefficient λ maximizes the influence on the system stability and performance, it is necessary to determine more appropriate adjustment coefficients through an optimization algorithm. For example, the particle swarm optimization can be used to adjust r, α, and β so that the output voltage V out (t) maintains the best stability under various load and environmental conditions.

[0055] Combined with Figure 3 As shown, the specific steps for optimizing α, β, and r using the particle swarm algorithm include:

[0056] A1. Define the objective function J.

[0057] , where T represents the total number of time steps in the time period, which is a set observation window. For example, in the case where the off-grid inverter has a slow response speed, T can be set to the number of steps within a certain number of seconds, such as 10 steps within 10 seconds, that is, sampling once per second within 10 seconds; in the case where the off-grid inverter has a fast response speed, T can be set to the number of steps within a certain number of milliseconds, such as 100 steps within 100 milliseconds, that is, sampling once per millisecond within 100 milliseconds.

[0058] A2. Initialize the particle swarm and allocate positions and velocities.

[0059] Specifically, first define that each particle represents a parameter combination, that is, a set of α, β, and r; then set the number of the particle swarm; then initialize the positions and velocities. Each particle randomly initializes its position, that is, randomly assigns the initial values of α, β, and r, and each particle is also assigned an initial velocity for updating the position of the particle. Individual particle best position: Record the current best position of each particle, that is, the parameter combination when it reaches the minimum objective function value in its history. Global best position: Record the global best position in the particle swarm, that is, the parameter combination with the minimum current objective function value in the entire population.

[0060] A3. Calculate the fitness value and update the individual best and global best positions.

[0061] Specifically, the particle swarm algorithm in a computer program is used to update the positions and velocities of particles through multiple iterations to search for the minimum value of the objective function. In each iteration, the process of updating the particles is as follows:

[0062] a1. Calculate the fitness value of each particle.

[0063] Calculate the output voltage V out (t) using the parameter combination corresponding to the current position of the particle, substitute it into the objective function J, and calculate the fitness value of each particle, that is, the current objective function value J.

[0064] a2. Update the individual and global best positions.

[0065] Individual best position: If the current fitness value is less than the minimum fitness value in the particle's history, update the individual best position of the particle. Global best position: If the current fitness value is less than the global minimum fitness value of the population, update the global best position.

[0066] a3. Update the velocity and position of the particle.

[0067] Update the particle velocity v i and position P i .

[0068] ;

[0069] ;

[0070] where v i (t + 1) represents the updated particle velocity at time t + 1; ω represents the inertia weight, which controls the tendency of the particle to retain its current velocity. The more particles there are, the smaller the inertia weight, and the specific value is set by the administrator according to experience; v i (t) represents the current particle velocity at time t; c1 represents the first acceleration coefficient, c2 represents the second acceleration coefficient. Generally, c1 = 1 and c2 = 1; R1 represents any random number in the range from 0 to 1, and R2 represents any random number in the range from 0 to 1 different from R1; P ibest represents the individual best position of particle i, that is, the parameter combination when the particle reaches the minimum objective function value in its history; P i (t) represents the current position of particle i at time t; g represents the global best position, that is, the parameter combination with the minimum current objective function value in the entire particle population; P i (t + 1) represents the updated position of particle i at time t + 1.

[0071] A4. Update the position of each particle according to the velocity and position formula.

[0072] A5. Determine whether the stop condition is met. If it is met, output the optimal parameter combination.

[0073] A6. Verify the optimization effect.

[0074] Preferably, the stop condition is that the minimum value of the objective function is less than or equal to a preset threshold. Since there is a minimum value of the objective function in each iteration, a stop threshold is preset first. When the minimum value of the current objective function in the entire particle swarm is less than or equal to this stop threshold, the stop condition is met. The voltage adjustment function of this embodiment is particularly suitable for scenarios where the load changes greatly, such as frequent switching between peak and off-peak electricity consumption, for example, small power supply systems in remote areas or outdoor power generation equipment. In these scenarios, the load fluctuates greatly, and the real-time voltage regulation can meet the electricity demand. Combined Figure 4 as shown Figure 4 is a statistical chart of the results of multiple calculations of the output voltage. The following is an implementation example of the output voltage calculation process:

[0075] Given the nominal voltage V nom = 220V; λ = 0.05; μ = 0.1; υ = 0.2; β = 2; I load (t) = 5A; P env (t) = 0.3, then:

[0076] ; Through this method, the output voltage of the off-grid inverter is adaptively adjusted according to the load current and environmental disturbances, ensuring the stable operation of the system.

[0077] The following is an example of the program code applied in the output voltage calculation process:

[0078] import numpy as np

[0079] # Define a function to calculate the output voltage

[0080] def calculate_output_voltage(V_nom, lambda_, mu, nu, beta, I_load, P_env):

[0081] """

[0082] Calculate the output voltage V_out(t)

[0083] Parameters:

[0084] - V_nom: Nominal voltage

[0085] - lambda_: Chaos adjustment coefficient

[0086] - mu: Influence coefficient of load current

[0087] - nu: Influence coefficient of environmental disturbance

[0088] - beta: Nonlinear exponent

[0089] - I_load: Load current data (list or np.array)

[0090] - P_env: Environmental disturbance data (list or np.array)

[0091] Returns:

[0092] - V_out: Output voltage (list)

[0093] """

[0094] I_load = np.array(I_load)

[0095] P_env = np.array(P_env)

[0096] # Core formula calculation

[0097] V_out = V_nom * (1 + lambda_ * (mu * I_load + nu * P_env)**beta)

[0098] return V_out

[0099] # Parameter settings

[0100] V_nom = 220 # Nominal voltage

[0101] lambda_ = 0.05 # Chaos adjustment coefficient

[0102] mu = 0.6 # Influence coefficient of load current

[0103] nu = 0.4 # Influence coefficient of environmental disturbance

[0104] beta = 2 # Nonlinear exponent

[0105] # Input data

[0106] I_load = [7.8, 7.9, 8.0, 8.2, 8.3, 8.1, 8.0, 7.9, 7.8, 7.6] # Load current

[0107] P_env = [247, 245, 250, 249, 246, 248, 252, 250, 245, 240] # Environmental disturbance

[0108] # Call the function to calculate the output voltage

[0109] V_out = calculate_output_voltage(V_nom, lambda_, mu, nu, beta, I_load, P_env)

[0110] # Output the result

[0111] print("Output voltage V_out(t):", V_out)

[0112] # Visualize the result

[0113] import matplotlib.pyplot as plt

[0114] plt.figure(figsize=(10, 5))

[0115] time_points = range(1, len(V_out) + 1)

[0116] # Combine line chart and scatter chart

[0117] plt.plot(time_points, V_out, label='Output voltage (V_out)', marker='o',linestyle='-')

[0118] plt.scatter(time_points, V_out, color='red')

[0119] # Add title and labels

[0120] plt.title("Statistical chart of output voltage vs. time")

[0121] plt.xlabel("Time point (t)")

[0122] plt.ylabel("Output voltage V_out(t)")

[0123] plt.legend()

[0124] plt.grid()

[0125] plt.show().

[0126] A control method for an off-grid inverter system with adaptive control, which is applied to the above-mentioned off-grid inverter system with adaptive control, and combines Figure 5 As shown, the control method of the off-grid inverter system with adaptive control includes:

[0127] S1. Monitor the inverter load current in real time;

[0128] S2. Collect the external disturbance information of the off-grid inverter in real time;

[0129] S3. Perform adaptive control analysis based on the inverter load current and external disturbance information to generate adaptive control information;

[0130] S4. Control the output voltage of the off-grid inverter according to the adaptive control information.

[0131] Embodiment 2: This embodiment includes all the contents of Embodiment 1, and provides an off-grid inverter system with adaptive control. Combining Figure 6 As shown, the output frequency adjustment sub-module includes an output frequency calculation unit and an output frequency adjustment information generation unit; the output frequency calculation unit is used to calculate the output frequency according to the load current data and external environment disturbance information; the output frequency adjustment information generation unit is used to generate corresponding output frequency adjustment information according to the output frequency.

[0132] When the output frequency calculation unit works, the following formula is satisfied:

[0133] ;

[0134] Among them, f nom represents the nominal frequency when the off-grid inverter outputs; δ represents the frequency adjustment coefficient. In scenarios with higher requirements for fast response, the frequency adjustment coefficient is larger, and its value range is between 0.01 and 0.05. The specific value is set by the administrator according to experience; m kThe weighting coefficient of the historical data represented. In scenarios with higher real-time requirements, the weighting coefficient of the historical data is smaller, and its value range is between 0.1 and 0.7. The specific value is set by the administrator according to experience; ε1 represents the frequency influence coefficient of the load current. The faster the change speed of the load current, the larger the frequency influence coefficient of the load current, and its value range is between 0.6 and 0.9. The specific value is set by the administrator according to experience; ε2 represents the frequency influence coefficient of the environmental disturbance. The better the stability of the environmental parameters, the smaller the frequency influence coefficient of the environmental disturbance, and its value range is between 0.1 and 0.4. The specific value is set by the administrator according to experience; I load (t - k) represents the historical load current at the kth time step before the current time t; P env (t - k) represents the historical environmental disturbance value at the kth time step before the current time t; N represents the total number of steps of the historical data.

[0135] The frequency adjustment function of this embodiment is particularly suitable for scenarios where the load changes greatly and rapid adjustment of power output is required. By dynamically adjusting the frequency, the response speed of the system can be effectively improved. Combining Figure 7 as shown Figure 7 is a statistical diagram of the output frequency calculation result. The following is an implementation example of the output frequency calculation process:

[0136] Given:

[0137] f nom = 50Hz; δ = 0.02; m k = 0.7; ε1 = 0.6; ε2 = 0.3; N = 10;

[0138] I load (t - k) = (7.8, 7.9, 8.0, 8.2, 8.3, 8.1, 8.0, 7.9, 7.8, 7.6);

[0139] P env (t - k) = (247, 245, 250, 249, 246, 248, 252, 250, 245, 240);

[0140] ;

[0141] The frequency is within the reasonable use range and meets the actual application requirements. Slightly increasing the output frequency can compensate for possible disturbances to the system, thus ensuring stability. In high-load or complex environments, a slightly higher frequency helps to improve the device response ability and avoid overload or mismatch.

[0142] The following is a program code example of the output frequency calculation process:

[0143] def calculate_output_frequency(I_load, P_env, sensitivity=0.05, alpha=0.7, beta=0.3, m1=0.7, delta=0.02):

[0144] """

[0145] Implementation program for calculating the output frequency.

[0146] Parameters:

[0147] - I_load: List of load currents.

[0148] - P_env: List of environmental disturbances.

[0149] - sensitivity: Regulation sensitivity coefficient.

[0150] - alpha, beta: Regulation coefficients.

[0151] - m1: Weighting coefficient for historical data.

[0152] - delta: Regulation amplitude.

[0153] Returns:

[0154] - f_out: Output frequency.

[0155] """

[0156] f_nom = 50 # Nominal frequency (Hz)

[0157] N = len(I_load) # Number of sampling points

[0158] weighted_load_effect = np.sum([(0.6 * I_load[k]) for k in range(N)])

[0159] weighted_env_effect = np.sum([(0.3 * P_env[k]) for k in range(N)])

[0160] # Core calculation formula

[0161] f_out = f_nom + np.log2(1 + delta + sensitivity * m1 * (alpha *weighted_load_effect + beta * weighted_env_effect))

[0162] return f_out

[0163] # Example data

[0164] I_load = [7.8, 7.9, 8.0, 8.2, 8.3, 8.1, 8.0, 7.9, 7.8, 7.6]

[0165] P_env = [247, 245, 250, 249, 246, 248, 252, 250, 245, 240]

[0166] f_out = calculate_output_frequency(I_load, P_env)

[0167] print("Output frequency:", f_out, "Hz")。

[0168] The content disclosed above is only the preferred and feasible embodiments of the present invention, and does not limit the protection scope of the present invention. Therefore, all equivalent technical changes made by using the content of the specification and drawings of the present invention are included in the protection scope of the present invention. In addition, with the development of technology, the elements therein can be updated.

Claims

1. An off-grid inverter system with adaptive control, characterized in that, It includes a load current monitoring terminal, an environmental disturbance monitoring terminal, an adaptive control analysis terminal, and an inverter control terminal; the load current monitoring terminal is used to monitor the inverter load current in real time; the environmental disturbance monitoring terminal is used to collect the external disturbance information of the off-grid inverter in real time; the adaptive control analysis terminal is used to perform adaptive control analysis based on the inverter load current and external disturbance information and generate adaptive control information; the inverter control terminal is used to control the output voltage of the off-grid inverter according to the adaptive control information; The load current monitoring terminal includes a current acquisition module, a signal processing module, and a data transmission module; the current acquisition module is used to collect the load current data of the inverter in real time; the signal processing module is used to filter the collected current signal; the data transmission module is used to transmit the filtered load current data to the adaptive control analysis terminal; The adaptive control analysis terminal includes a data analysis module, a control algorithm module, and a feedback generation module. The data analysis module is used to receive the load current data from the data transmission module and the external environmental disturbance information from the sensing data transmission module, perform analysis and processing, and extract features; the control algorithm module is used to calculate and generate adaptive control information according to the analysis results; the feedback generation module is used to transmit the adaptive control information calculated by the control algorithm to the inverter control terminal; The data analysis module includes an output voltage regulation sub-module, an output frequency regulation sub-module, and an analysis result output sub-module; the output voltage regulation sub-module is used to perform output voltage regulation analysis based on the load current data and external environmental disturbance information and generate output voltage regulation information; The output frequency regulation sub-module is used to perform output frequency regulation analysis based on the load current data and external environmental disturbance information and generate output frequency regulation information; the analysis result output sub-module is used to output the output voltage regulation information and output frequency regulation information as analysis results to the control algorithm module; The output voltage regulation sub-module includes a chaos regulation coefficient calculation unit, an output voltage calculation unit, and an output voltage regulation information generation unit; The chaos regulation coefficient calculation unit is used to select a chaos model and calculate the chaos regulation coefficient according to the load current data and external environmental disturbance information; The output voltage calculation unit is used to calculate the output voltage according to the chaos regulation coefficient, load current data, and external environmental disturbance information; the output voltage regulation information generation unit is used to generate corresponding output voltage regulation information according to the output voltage; When the output voltage calculation unit works, the following formula is satisfied: ； Among them, V out (t) represents the output voltage calculated in real time; V nom represents the nominal voltage of the off-grid inverter, that is, the standard output voltage value; λ represents the chaotic regulation coefficient; μ represents the influence coefficient of the load current, and its value range is between 0.1 and 0.5; υ represents the influence coefficient of the environmental disturbance, and its value range is between 0.1 and 0.3; β represents the nonlinear exponent; β = 2; I load (t) represents the current value of the load current, obtained from the load current data; P env (t) represents the current value of the environmental disturbance, obtained from the environmental disturbance information.

2. An off-grid inverter system with adaptive control according to claim 1, characterized in that, The environmental disturbance monitoring terminal includes an environmental sensing data acquisition module and a sensing data transmission module. The environmental sensing data acquisition module is used to collect the external environmental disturbance information from the environmental sensing device in real time; the sensing data transmission module is used to transmit the environmental disturbance information to the adaptive control analysis terminal.

3. An off-grid inverter system with adaptive control as claimed in claim 1, wherein, The inverter control terminal includes a control signal module, a power adjustment module, and a voltage output module. The control signal module is used to receive the adaptive control information from the feedback generation module and generate corresponding control signals. The power adjustment module is used to adjust the power output of the inverter according to the control signals. The voltage output module is used to adjust the output voltage of the inverter according to the control signals.

4. A control method for an off-grid inverter system with adaptive control, applied to an off-grid inverter system with adaptive control as described in claim 3, characterized in that, The control method of the off-grid inverter system with adaptive control includes: S1, monitoring the inverter load current in real time; S2, collecting the external disturbance information of the off-grid inverter in real time; S3, performing adaptive control analysis based on the inverter load current and the external disturbance information to generate adaptive control information; S4, controlling the output voltage of the off-grid inverter according to the adaptive control information.

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