Multi-output single-phase photovoltaic energy storage inverter control system

Abstract

The invention belongs to the technical field of photovoltaic energy storage, and particularly relates to a multi-output single-phase photovoltaic energy storage inverter control system which integrates an energy conversion module, a filtering module, a voltage regulation module, an isolation module, a signal synchronization module, a power distribution module, an interference suppression module and a monitoring feedback module. And the working state of each part is dynamically adjusted by the control center, so that the accurate control and optimization of the electromagnetic compatibility among different output ports are realized. The system can effectively reduce the mutual interference among the output channels, and remarkably improve the overall efficiency and stability of the system, thereby solving the problems of efficiency reduction and potential stability caused by the electromagnetic interference among the output channels in the prior art. The improvement not only improves the performance of the system, but also enhances the reliability and adaptability of the system, and is suitable for various complex application scenes.

Description

Technical Field

[0001] The invention belongs to the technical field of photovoltaic energy storage, and in particular relates to a multi-channel output single-phase photovoltaic energy storage inverter control system. Background Art

[0002] In the existing multi-channel output single-phase photovoltaic energy storage inverter control system, it usually includes energy conversion module, filter module, voltage regulation module, isolation module, signal synchronization module, power distribution module and interference suppression module, etc. These modules each have different functions. For example, the energy conversion module is responsible for converting photovoltaic input into alternating current, the filter module is used to reduce current fluctuations, the voltage regulation module adjusts the output voltage according to load requirements, the isolation module ensures the electrical independence between each output path, the signal synchronization module coordinates the signal transmission time difference between different paths, the power distribution module optimizes the power distribution of each port, and the interference suppression module is used to eliminate electromagnetic interference.

[0003] Although existing systems can meet basic functional requirements to a certain extent, they are insufficient in dealing with electromagnetic compatibility (EMC) between different output ports. Specifically, it is difficult for existing systems to achieve precise control and optimization of electromagnetic interference between different output ports, which leads to efficiency degradation and potential stability issues caused by mutual interference between output channels. Summary of the invention

[0004] The purpose of the present invention is to provide a multi-channel output single-phase photovoltaic energy storage inverter control system, which can effectively reduce the mutual interference between the output channels, improve the overall efficiency and stability of the system, and thus solve the electromagnetic compatibility problem existing in the prior art.

[0005] To achieve the above purpose, the present invention adopts a multi-channel output single-phase photovoltaic energy storage inverter control system, including:

[0006] an energy conversion module for receiving photovoltaic input and converting it into alternating current;

[0007] A filter module connected to the energy conversion module is used to reduce current fluctuations, and a voltage regulation module connected to the filter module is used to adjust the output voltage according to load requirements;

[0008] Isolation modules to ensure electrical independence between individual output paths;

[0009] The signal synchronization module is connected after the isolation module to coordinate the time difference of signal transmission between different output paths; the power distribution module is connected to the signal synchronization module to optimize the power distribution according to the load conditions of each port;

[0010] The interference suppression module uses the information from the power allocation module to eliminate potential electromagnetic interference. The monitoring feedback module is connected to the interference suppression module to collect system operation data for analysis;

[0011] The control center integrates all module information, dynamically adjusts the working status of each part, and realizes optimized management of electromagnetic compatibility between multiple outputs.

[0012] Preferably, receiving photovoltaic input and converting it into alternating current includes:

[0013] First, the direct current generated by the solar panels is captured;

[0014] Then the DC voltage is adjusted to a preset value according to the voltage level of the photovoltaic input;

[0015] Then a pulse width modulation signal is generated to control the on and off of the switching device to generate a high-frequency AC signal;

[0016] Finally, the high-frequency components are filtered out, the fundamental components are retained, and AC output is obtained.

[0017] Preferably, reducing current fluctuations comprises:

[0018] First, monitor the current fluctuation of the energy conversion module output and record the initial current value;

[0019] Then the current signal is decomposed into different frequency components, and the amplitude and phase of each frequency component are calculated;

[0020] Then dynamically adjust the filter parameters to match the main interference frequency and set the filter cutoff frequency to ensure that the signals on all paths can arrive at the same time;

[0021] Finally, the current is filtered using the adjusted filtering parameters to remove high-frequency interference components, retain the fundamental components, and ultimately output a stable current.

[0022] Preferably, adjusting the output voltage according to load demand includes:

[0023] First, measure the current load demand, record the initial load voltage, and then generate a reference voltage value to ensure that the output voltage meets the load demand;

[0024] Then compare the difference between the actual output voltage and the reference voltage and calculate the difference;

[0025] Finally, the output voltage of the inverter is dynamically adjusted by controlling the working state of the switching devices, so that the output voltage is finally stabilized within the set range.

[0026] Preferably, the step of ensuring electrical independence between various output paths comprises:

[0027] First, capture the current and voltage signals in each output path and record the initial values;

[0028] The current and voltage differences between the paths are then calculated to ensure that potential interference sources are identified;

[0029] Then the parameters of the isolation components are dynamically adjusted to minimize the mutual influence between the paths;

[0030] Finally, the signal synchronization processing is performed on each output path to ensure the consistency of signal transmission time between different paths, and finally achieve electrical independence between paths.

[0031] Preferably, the coordination of the time difference of signal transmission between different output paths includes:

[0032] Firstly, the time stamps of the signals in each output path are captured and the initial timestamps are recorded;

[0033] Then the signal transmission time difference between each path is calculated to ensure the delay difference between different paths is identified;

[0034] Then the parameters of the synchronization elements are dynamically adjusted to minimize the time difference between the paths, ensuring that the signals on all paths arrive at the same time;

[0035] Finally, the signal in each output path is corrected by introducing a delay or advance to compensate for the time difference, so that the signals on all paths arrive synchronously, ultimately achieving time consistency between the output paths.

[0036] Preferably, the optimizing the power distribution according to the load condition of each port includes:

[0037] First, detect the load condition of each port in real time and record the initial load power;

[0038] Then the actual power demand of each port is calculated, and the power allocation ratio between the ports in the system is dynamically adjusted according to the actual power demand of each port;

[0039] The actual output power of each port is adjusted by controlling the working state of the inverter switch device, so that the output power of each port finally meets the optimized distribution ratio.

[0040] Preferably, the use of information from the power distribution module to eliminate potential electromagnetic interference includes:

[0041] First, monitor the electromagnetic interference level of each port and record the initial interference value;

[0042] Then analyze and identify the main interference sources and their impact areas to ensure that the main sources of interference are determined;

[0043] Then, the information provided by the power allocation module is used in combination with the results of interference source identification to dynamically adjust the power output of each port to reduce interference;

[0044] Finally, filtering and shielding measures are applied to reduce residual electromagnetic interference.

[0045] Preferably, the collecting system operation data for analysis comprises:

[0046] First, the operating data of each part of the system is collected in real time, and the initial voltage, current and power are recorded;

[0047] The collected data are then classified and integrated to generate a comprehensive data package;

[0048] Then, the information provided by the interference suppression module is used in combination with the results of data integration to evaluate the current state of the system and measure the overall performance of the system;

[0049] Finally, the system parameters are adjusted dynamically to optimize performance, ultimately making the system run at its best.

[0050] Preferably, the control center integrates all module information, dynamically adjusts the working status of each part, and realizes the optimized management of electromagnetic compatibility between multiple outputs, including:

[0051] First, collect the operating data of each module of the system and record the initial summary data set;

[0052] Then, the data of each module is analyzed in detail to identify the problem points and optimization opportunities in the system;

[0053] Then, using the results of data analysis, the operating parameters of each module are dynamically adjusted to optimize system performance;

[0054] Finally, the working status of each module is updated in real time, and the adjusted parameters are sent back to each module. Through the feedback loop, continuous monitoring and adjustment are carried out to ultimately achieve optimal electromagnetic compatibility management of the system.

[0055] Technical effects and advantages of the present invention: Compared with the prior art, the multi-channel output single-phase photovoltaic energy storage inverter control system proposed by the present invention has the following advantages:

[0056] The present invention realizes precise control and optimization of electromagnetic compatibility between different output ports by integrating energy conversion module, filtering module, voltage regulation module, isolation module, signal synchronization module, power distribution module, interference suppression module and monitoring feedback module, and dynamically adjusting the working state of each part by the control center. The system can effectively reduce the mutual interference between the output channels, significantly improve the overall efficiency and stability of the system, thereby solving the efficiency reduction and potential stability problems caused by electromagnetic interference between the output channels in the prior art. This improvement not only improves the performance of the system, but also enhances its reliability and adaptability, and is suitable for various complex application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 The block diagram of the control system of the multi-channel output single-phase photovoltaic energy storage inverter of the present invention. DETAILED DESCRIPTION

[0058] The following will be combined with the accompanying 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, rather than all the embodiments. The specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0059] The present invention provides Figure 1 The multi-channel output single-phase photovoltaic energy storage inverter control system shown in the figure integrates energy conversion module, filter module, voltage regulation module, isolation module, signal synchronization module, power distribution module, interference suppression module and monitoring feedback module, and the control center dynamically adjusts the working state of each part to achieve precise control and optimization of electromagnetic compatibility between different output ports. The details are as follows:

[0060] Exemplarily, the energy conversion module is used to receive photovoltaic input and convert it into alternating current; specifically, the following steps are included:

[0061] A photovoltaic input receiving step for capturing the DC power generated by the solar panel to provide a stable DC power supply for subsequent voltage regulation and conversion;

[0062] A DC voltage regulation step is connected after the photovoltaic input receiving step, and adjusts the DC voltage to a preset value V_pv=V_in*K_v according to the voltage level of the photovoltaic input, where V_in is the photovoltaic input voltage and K_v is the proportionality coefficient, to ensure the stability of the subsequent conversion process;

[0063] The pulse width modulation step generates a pulse width modulation signal to control the on and off of the switching device based on the result of the DC voltage regulation step to generate a high-frequency AC signal. The formula is f_ac(t)=A_ac*sin(ω_ac*t+φ_ac), where A_ac is the amplitude, ω_ac is the angular frequency, and φ_ac is the phase angle. Through pulse width modulation (PWM), the frequency and amplitude of the inverter output can be accurately controlled to generate high-quality AC power.

[0064] The low-pass filtering step is connected after the pulse width modulation step to filter out the high-frequency components and retain the fundamental components to obtain a pure AC output. The low-pass filter removes unnecessary high-frequency noise to ensure that the final output AC power is high-quality and stable.

[0065] Example

[0066] Assume that there is a photovoltaic energy storage inverter control system with the following specific parameters:

[0067] Photovoltaic input voltage (V_in): 200V;

[0068] Proportional coefficient (K_v): 1.2;

[0069] AC signal amplitude (A_ac): 220V;

[0070] Angular frequency (ω_ac): 314rad / s (corresponding to a frequency of 50Hz);

[0071] Phase angle (φ_ac): 0 degrees;

[0072] Implementation steps:

[0073] Photovoltaic input receiving step: Capture the DC power generated by the solar panel, assuming the initial voltage is 200V.

[0074] DC voltage adjustment steps: According to the formula V_pv = V_in*K_v, calculate the adjusted voltage value:

[0075] V_pv = 200V*1.2 = 240V This step ensures voltage stability during the subsequent conversion process and adapts to input voltage changes under different lighting conditions.

[0076] Pulse width modulation steps: Use the formula f_ac(t) = A_ac*sin(ω_ac*t+φ_ac) to generate a high-frequency AC signal:

[0077] f_ac(t)=220V*sin(314*t+0) This formula generates a sinusoidal AC signal with a frequency of 50Hz and an amplitude of 220V, ensuring the quality and stability of the output signal.

[0078] Low-pass filtering step: Use a low-pass filter to remove high-frequency components and retain the fundamental components. Assuming the filter cutoff frequency is set to 5kHz, high-frequency noise above 5kHz can be effectively filtered out to ensure that the output AC power is pure and stable.

[0079] The filter module connected to the energy conversion module is used to reduce current fluctuations; specifically, the following steps are included:

[0080] The current detection step is used to monitor the current fluctuation of the energy conversion module output and record the initial current value I_0; this step provides basic data for subsequent spectrum analysis to ensure that the fluctuation and interference components in the current can be accurately identified.

[0081] In the spectrum analysis step, based on the result of the current detection step, the current signal is decomposed into different frequency components, and the amplitude A_f and phase φ_f of each frequency component are calculated; through spectrum analysis, the main interference frequency and its intensity can be identified, providing a basis for adjusting the filtering parameters.

[0082] The filter parameter adjustment step dynamically adjusts the filter parameters to match the main interference frequency according to the data of the spectrum analysis step, and sets the filter cutoff frequency f_cutoff=f_max / K_f, where f_max is the maximum interference frequency and K_f is the safety factor; by adjusting the filter parameters, the high-frequency interference components can be effectively removed, the fundamental components can be retained, and the stability of the output current can be improved.

[0083] In the output purification step, the current is filtered using the adjusted filter parameters to remove high-frequency interference components, retain the fundamental components, and finally output a stable current I_out. This step ensures that the current output by the system is of high quality and stable, avoiding efficiency reduction and potential stability problems caused by high-frequency interference.

[0084] Example

[0085] Assume that there is a photovoltaic energy storage inverter control system with the following specific parameters:

[0086] Initial current value (I_0): 10A;

[0087] Maximum interference frequency (f_max): 5kHz;

[0088] Safety factor (K_f): 2;

[0089] Target output current (I_out): stable fundamental current;

[0090] Implementation steps:

[0091] Current detection step: monitor the current fluctuation of the energy conversion module output and record the initial current value I_0 as 10A.

[0092] Spectrum analysis steps: decompose the current signal into different frequency components and calculate the amplitude A_f and phase φ_f of each frequency component. Assume that the analysis results are as follows:

[0093] 50Hz fundamental wave: amplitude A_f=9A, phase φ_f=0 degrees;

[0094] 5kHz interference: amplitude A_f=1A, phase φ_f=90 degrees;

[0095] Filter parameter adjustment steps: According to the spectrum analysis results, dynamically adjust the filter parameters to match the main interference frequency. Set the filter cutoff frequency f_cutoff:

[0096] f_cutoff = f_max / K_f = 5kHz / 2 = 2.5kHz This step ensures that the filter can effectively remove interference frequencies higher than 2.5kHz while retaining the fundamental component of 50Hz.

[0097] Output purification step: Use the adjusted filter parameters to filter the current, remove high-frequency interference components, and retain the fundamental components. After filtering, the output current I_out becomes a stable fundamental current with an amplitude of about 9A and a phase of 0 degrees, removing the 1A 5kHz interference component.

[0098] Furthermore, a voltage regulating module connected to the filter module is used to adjust the output voltage according to the load demand; specifically, the following steps are included:

[0099] The load detection step is used to measure the current load demand and record the initial load voltage V_load; this step provides basic data for subsequent reference voltage generation to ensure that the system can adjust the output voltage according to the actual load demand.

[0100] The reference voltage generating step generates a reference voltage value V_ref=V_load*(1+α_adj) based on the result of the load detecting step, where α_adj is a compensation coefficient to ensure that the output voltage meets the load requirement. By introducing the compensation coefficient α_adj, the voltage requirements under different load conditions can be flexibly responded to to ensure the stability of the output voltage.

[0101] The difference calculation step is connected after the reference voltage generation step, compares the difference between the actual output voltage and the reference voltage, and calculates the difference ΔV_diff=V_ref-V_out, where V_out is the current output voltage; by calculating the difference, the deviation between the current output voltage and the target reference voltage can be determined, providing a basis for subsequent voltage adjustment.

[0102] The voltage adjustment step uses the result of the difference calculation step to dynamically adjust the output voltage of the inverter. This is achieved by controlling the duty cycle D_duty of the switching device. The formula is D_duty = ΔV_diff / V_max, where V_max is the maximum allowable voltage. Ultimately, the output voltage is stabilized within the set range. By adjusting the duty cycle, the output voltage of the inverter can be accurately controlled to ensure that it is stable within the set range.

[0103] Example

[0104] Assume that there is a photovoltaic energy storage inverter control system with the following specific parameters:

[0105] Initial load voltage (V_load): 200V;

[0106] Compensation coefficient (α_adj): 0.1 (i.e. 10%);

[0107] Current output voltage (V_out): 215V;

[0108] Maximum allowable voltage (V_max): 300V;

[0109] Implementation steps:

[0110] Load detection step: measure the current load demand and record the initial load voltage V_load as 200V. Reference voltage generation step: based on the result of the load detection step, generate a reference voltage value V_ref:

[0111] V_ref=V_load*(1+α_adj)=200V*(1+0.1)=220V This step ensures that the reference voltage value can adapt to the load demand and takes into account the influence of the compensation coefficient.

[0112] Difference calculation steps: Compare the difference between the actual output voltage and the reference voltage and calculate the difference ΔV_diff:

[0113] ΔV_diff=V_ref-V_out=220V-215V=5V This step determines the deviation between the current output voltage and the target reference voltage, providing a basis for subsequent voltage adjustment.

[0114] Voltage adjustment step: Using the result of the difference calculation step, dynamically adjust the output voltage of the inverter by controlling the duty cycle D_duty of the switching device:

[0115] D_duty=ΔV_diff / V_max=5V / 300V≈0.0167 In this step, the duty cycle is adjusted so that the output voltage gradually approaches the reference voltage value of 220V and finally stabilizes within the set range.

[0116] Exemplarily, the isolation module is used to ensure electrical independence between various output paths; specifically, the following steps are included:

[0117] The signal acquisition step is used to capture the current and voltage signals in each output path and record the initial values ​​I_path1 and V_path1. This step provides basic data for subsequent difference analysis to ensure that the electrical differences between the paths can be accurately identified.

[0118] In the difference analysis step, based on the results of the signal acquisition step, the current and voltage differences between the paths are calculated using the formulas ΔI_diff=I_path1-I_path2 and ΔV_diff=V_path1-V_path2, to ensure that potential interference sources are identified. By calculating these differences, the interference sources between different paths can be identified, providing a basis for subsequent isolation parameter adjustments.

[0119] The isolation parameter setting step dynamically adjusts the parameters of the isolation element according to the data of the difference analysis step to minimize the mutual influence between the paths, and sets the isolation resistance R_iso ​​= (ΔV_diff / ΔI_diff)*K_iso, where K_iso is the safety factor to ensure electrical independence; by adjusting the parameters of the isolation element, the mutual interference between the paths can be effectively reduced, and the stability and reliability of the system can be improved.

[0120] The signal synchronization step uses the result of the isolation parameter setting step to perform signal synchronization processing on each output path to ensure that the signal transmission time between different paths is consistent, avoid interference caused by time difference, and finally achieve electrical independence between paths.

[0121] Example

[0122] Assume that there is a photovoltaic energy storage inverter control system with the following specific parameters:

[0123] Path 1 current (I_path1): 5A;

[0124] Path 2 current (I_path2): 4.8A;

[0125] Path 1 voltage (V_path1): 220V;

[0126] Path 2 voltage (V_path2): 218V;

[0127] Safety factor (K_iso): 1.5;

[0128] Implementation steps:

[0129] Signal acquisition steps: Capture the current and voltage signals in each output path and record the initial values:

[0130] Path 1 current I_path1: 5A;

[0131] Path 1 voltage V_path1: 220V;

[0132] Path 2 current I_path2: 4.8A;

[0133] Path 2 voltage V_path2: 218V;

[0134] Difference analysis steps: Calculate the current and voltage differences between each path:

[0135] Current difference: ΔI_diff = I_path1 - I_path2 = 5A - 4.8A = 0.2A;

[0136] Voltage difference: ΔV_diff = V_path1 - V_path2 = 220V - 218V = 2V;

[0137] This step determines the current and voltage differences between path 1 and path 2, providing a basis for subsequent isolation parameter adjustments.

[0138] Isolation parameter setting step: Based on the data from the difference analysis step, dynamically adjust the parameters of the isolation component to minimize the mutual influence between the paths and set the isolation resistance R_iso:

[0139] R_iso=(ΔV_diff / ΔI_diff)*K_iso=(2V / 0.2A)*1.5=10Ω*1.5=15Ω This step ensures the electrical independence between each path and reduces mutual interference between paths.

[0140] Signal synchronization step: Using the results of the isolation parameter setting step, perform signal synchronization processing on each output path to ensure that the signal transmission time between different paths is consistent. Assuming that the signal transmission time of path 1 and path 2 is t1 and t2 respectively, by adjusting the delay or advance amount, t1 and t2 are kept consistent to avoid interference caused by time difference.

[0141] Specifically, the signal synchronization module is connected after the isolation module and is used to coordinate the time difference of signal transmission between different output paths; specifically, the following steps are included:

[0142] The timing detection step is used to capture the time mark of the signal in each output path and record the initial timestamps T_path1 and T_path2; this step provides basic data for the subsequent time difference calculation to ensure that the signal transmission time difference between each path can be accurately identified.

[0143] The time difference calculation step calculates the signal transmission time difference between each path based on the result of the timing detection step. The formula is ΔT_diff=T_path1-T_path2, ensuring that the delay difference between different paths is identified. By calculating these time differences, the delay between each path can be identified, providing a basis for subsequent synchronization parameter adjustments.

[0144] The synchronization parameter adjustment step dynamically adjusts the parameters of the synchronization element according to the data of the time difference calculation step to minimize the time difference between the paths, and sets the synchronization delay D_sync = ΔT_diff / 2 to ensure that the signals on all paths can arrive at the same time; by adjusting the synchronization delay, the delay difference between the paths can be effectively reduced to achieve signal synchronization.

[0145] The signal correction step uses the results of the synchronization parameter adjustment step to correct the signals in each output path, and compensates for the time difference by introducing appropriate delays or advances, so that the signals on all paths arrive synchronously, ultimately achieving time consistency between the output paths.

[0146] Example

[0147] Assume that there is a photovoltaic energy storage inverter control system with the following specific parameters:

[0148] Path 1 timestamp (T_path1): 100ms;

[0149] Path 2 timestamp (T_path2): 105ms;

[0150] Implementation steps:

[0151] Timing detection step: Capture the time mark of the signal in each output path and record the initial timestamp:

[0152] Path 1 timestamp T_path1: 100ms;

[0153] Path 2 timestamp T_path2: 105ms;

[0154] Time difference calculation steps: Calculate the signal transmission time difference between each path:

[0155] ΔT_diff=T_path1-T_path2=100ms-105ms=-5ms This step determines the signal transmission time difference between path 1 and path 2, providing a basis for subsequent synchronization parameter adjustment.

[0156] Synchronization parameter adjustment step: According to the data of the time difference calculation step, the parameters of the synchronization element are dynamically adjusted to minimize the time difference between the paths and set the synchronization delay D_sync:

[0157] D_sync = ΔT_diff / 2 = -5ms / 2 = -2.5ms. This step ensures that the signals on all paths can arrive at the same time, reducing the delay difference between the paths.

[0158] Signal correction step: Use the result of the synchronization parameter adjustment step to correct the signal in each output path. Assuming that the signal transmission time of path 1 and path 2 is t1 and t2, make t1 and t2 consistent by introducing appropriate delay or advance. For example:

[0159] For path 1 (timestamp 100ms), no additional delay is required.

[0160] For path 2 (timestamp 105ms), it needs to be advanced by 2.5ms to synchronize it with path 1.

[0161] Exemplarily, the power distribution module is connected to the signal synchronization module to optimize the power distribution according to the load conditions of each port; specifically, the following steps are included:

[0162] The load monitoring step is used to detect the load status of each port in real time and record the initial load power P_load1 and P_load2; this step provides basic data for subsequent power demand calculation to ensure that the system can allocate power according to the actual load demand.

[0163] The power demand calculation step calculates the actual power demand of each port based on the result of the load monitoring step. The formula is P_demand1=P_load1*(1+β_adj), where β_adj is the compensation coefficient to ensure that the demand of each port is met. By introducing the compensation coefficient β_adj, the power demand under different load conditions can be flexibly responded to, ensuring the stability of the output power.

[0164] The power allocation optimization step is connected to the power demand calculation step. According to the power demand of each port, the power allocation ratio between the ports in the system is dynamically adjusted, and the allocation ratio R_alloc=P_demand1 / (P_demand1+P_demand2) is set to ensure the maximum utilization of the total system power. By adjusting the power allocation ratio, the total system power can be effectively utilized and the efficiency of the system can be improved.

[0165] The output adjustment step uses the result of the power allocation optimization step to adjust the actual output power of each port by controlling the working state of the inverter switching device. The formula is D_out = R_alloc*D_max, where D_max is the maximum duty cycle, and finally the output power of each port meets the optimized allocation ratio.

[0166] Example

[0167] Assume that there is a photovoltaic energy storage inverter control system with the following specific parameters:

[0168] Initial load power (P_load1): 500W;

[0169] Initial load power (P_load / XMLSchema2): 300W;

[0170] Compensation coefficient (β_adj): 0.1 (i.e. 10%);

[0171] Maximum duty cycle (D_max): 90%;

[0172] Implementation steps:

[0173] Load monitoring steps: Real-time detection of the load conditions of each port and recording of the initial load power:

[0174] Port 1 load power P_load1: 500W;

[0175] Port 2 load power P_load2: 300W;

[0176] Power demand calculation step: Based on the results of the load monitoring step, calculate the actual power demand of each port:

[0177] For port 1: P_demand1 = P_load1*(1+β_adj) = 500W*(1+0.1) = 550W;

[0178] For port 2: P_demand2 = P_load2*(1+β_adj) = 300W*(1+0.1) = 330W;

[0179] This step ensures that the actual power demand of each port is adapted to the load demand and takes into account the impact of the compensation coefficient.

[0180] Power allocation optimization steps: Dynamically adjust the power allocation ratio between ports in the system according to the power requirements of each port:

[0181] Allocation ratio:

[0182] R_alloc1=P_demand1 / (P_demand1+P_demand2)=550W / (550W+330W)≈0.625;

[0183] Allocation ratio:

[0184] R_alloc2=P_demand2 / (P_demand1+P_demand2)=330W / (550W+330W)≈0.375;

[0185] This step ensures that the total system power is optimally utilized and the power allocation ratio of each port is reasonable.

[0186] Output adjustment step: Using the results of the power allocation optimization step, adjust the actual output power of each port:

[0187] For port 1: D_out1 = R_alloc1*D_max = 0.625*90% ≈ 56.25%;

[0188] For port 2: D_out2 = R_alloc2*D_max = 0.375*90% ≈ 33.75%;

[0189] This step adjusts the duty cycle so that the output power of each port meets the optimized distribution ratio, ensuring efficient operation of the system.

[0190] Specifically, the interference suppression module is used to eliminate potential electromagnetic interference by using information from the power allocation module; specifically, the following steps are included:

[0191] The interference detection step is used to monitor the electromagnetic interference level of each port and record the initial interference values ​​I_interf1 and I_interf2; this step provides basic data for subsequent interference source identification to ensure that the main interference sources in the system can be accurately identified.

[0192] The interference source identification step analyzes and identifies the main interference sources and their impact range based on the results of the interference detection step, and calculates the intensity ratio S_ratio = I_interf1 / I_interf2 of each interference source to ensure that the main source of interference is determined; by calculating the intensity ratio, the interference sources between different ports and their relative intensity can be identified, providing a basis for subsequent power adjustment feedback.

[0193] The power adjustment feedback step uses the information provided by the power allocation module and the results of the interference source identification step to dynamically adjust the power output of each port to reduce interference, and sets the new power output P_new = P_old-ΔP_adj, where ΔP_adj is the power compensation amount adjusted according to the interference intensity; by adjusting the power output, the electromagnetic interference of the system can be effectively reduced and the stability and reliability of the system can be improved.

[0194] In the interference elimination step, based on the result of the power adjustment feedback step, filtering and shielding measures are applied to further reduce the remaining electromagnetic interference. By introducing the filtering coefficient F_coeff=1 / (1+S_ratio), the filtering effect is optimized, and the electromagnetic interference of the system is finally reduced to the minimum. By applying filtering and shielding measures, electromagnetic interference can be further reduced to ensure the efficient operation of the system.

[0195] Example

[0196] Assume that there is a photovoltaic energy storage inverter control system with the following specific parameters:

[0197] Port 1 initial interference value (I_interf1): 5mA;

[0198] Port 2 initial interference value (I_interf2): 3mA;

[0199] Original power output (P_old): 600W;

[0200] Power compensation amount (ΔP_adj): 50W;

[0201] Implementation steps:

[0202] Interference detection steps: Monitor the electromagnetic interference level of each port and record the initial interference value:

[0203] Port 1 initial interference value I_interf1: 5mA;

[0204] Port 2 initial interference value I_interf2: 3mA;

[0205] Interference source identification steps: Calculate the intensity ratio of the interference source:

[0206] S_ratio=5mA / 3mA≈1.67;

[0207] Power Adjustment Feedback Steps: Adjust power output to reduce interference:

[0208] P_new = 600W - 50W = 550W;

[0209] Interference elimination steps: Apply filtering and shielding measures and calculate the filtering coefficient:

[0210] F_coeff=1 / (1+1.67)≈0.375;

[0211] Through these steps, the system can effectively reduce electromagnetic interference, ensure that the output power of each port meets the optimized distribution ratio, and further reduce the remaining electromagnetic interference through filtering and shielding measures, ultimately achieving efficient operation and stability of the system.

[0212] The monitoring feedback module is connected to the interference suppression module to collect system operation data for analysis; specifically, the following steps are included:

[0213] The data acquisition step is used to collect the operating data of each part of the system in real time, and record the initial voltage V_init, current I_init and power P_init; this step provides basic data for subsequent data integration and status evaluation, ensuring that the operating status of the system can be accurately identified.

[0214] In the data integration step, based on the results of the data collection step, the collected data are classified and integrated to generate a comprehensive data packet D_pack = {V_init, I_init, P_init} to ensure that all key information is processed centrally; through data integration, the various parameters of the system can be easily analyzed to provide support for subsequent status evaluation.

[0215] In the state assessment step, the information provided by the interference suppression module is used in combination with the results of the data integration step to evaluate the current state of the system and calculate the system health index H_index = (V_init + I_init + P_init) / 3 to measure the overall performance of the system. By calculating the health index, the operating state of the system can be quantified, providing a basis for subsequent feedback adjustments.

[0216] Feedback adjustment step, based on the results of the state evaluation step, dynamically adjusts system parameters to optimize performance, sets a new adjustment coefficient A_coeff = H_index / H_target, where H_target is the ideal health index, and finally makes the system run in the best state. By adjusting the coefficient, the system parameters can be gradually approached to the ideal state, improving the operating efficiency and stability of the system.

[0217] Example

[0218] Assume that there is a photovoltaic energy storage inverter control system with the following specific parameters:

[0219] Initial voltage (V_init): 220V;

[0220] Initial current (I_init): 5A

[0221] Initial power (P_init): 1100W;

[0222] Ideal health index (H_target): 100;

[0223] Implementation steps:

[0224] Data collection steps: Collect the operating data of each part of the system in real time, and record the initial voltage, current and power:

[0225] Initial voltage V_init: 220V;

[0226] Initial current I_init: 5A;

[0227] Initial power P_init: 1100W;

[0228] Data integration step: Classify and integrate the collected data to generate a comprehensive data package:

[0229] D_pack = {V_init, I_init, P_init} = {220V, 5A, 1100W} This step ensures that all key information is processed centrally for subsequent analysis.

[0230] Status assessment step: Evaluate the current status of the system and calculate the system health index:

[0231] H_index=(V_init+I_init+P_init) / 3=(220V+5A+1100W) / 3≈441.67This step determines the health index of the system and provides a basis for subsequent feedback adjustments.

[0232] Feedback adjustment step: Based on the results of the state evaluation step, dynamically adjust system parameters to optimize performance:

[0233] A_coeff=H_index / H_target=441.67 / 100≈4.4167 In this step, the coefficients are adjusted to gradually bring the system parameters closer to the ideal state and optimize the system performance.

[0234] Through these steps, the system can effectively collect and analyze operating data, evaluate its overall performance, and dynamically adjust system parameters based on the evaluation results to optimize system performance and ensure that the system operates in the best state.

[0235] For example, the control center integrates all module information, dynamically adjusts the working status of each part, and realizes the optimized management of electromagnetic compatibility between multiple outputs. Specifically, the following steps are included:

[0236] The information aggregation step is used to collect the operating data of all modules (energy conversion, filtering, voltage regulation, isolation, signal synchronization, power distribution, interference suppression and monitoring feedback modules) and record the initial aggregated data set:

[0237] D_all = {D_energy, D_filter, D_voltage, D_isolation, D_sync, D_power, D_interf, D_monitor}; This step provides comprehensive basic data for subsequent data analysis, ensuring that problem points and optimization opportunities in the system can be accurately identified.

[0238] In the data analysis step, based on the results of the information summary step, the data of each module is analyzed in detail to identify the problem points and optimization opportunities in the system, and the comprehensive performance index P_index = (D_energy+D_filter+D_voltage+D_isolation+D_sync+D_power+D_interf+D_monitor) / 8 is calculated to ensure a comprehensive understanding of the overall performance of the system; by calculating the comprehensive performance index, the overall performance of the system can be quantified, providing a basis for subsequent parameter optimization.

[0239] Parameter optimization step, using the results of the data analysis step, dynamically adjust the working parameters of each module to optimize the system performance, set a new optimization parameter P_opt = P_index * K_opt, where K_opt is the optimization coefficient, to ensure the coordinated work between the modules;

[0240] In the state update step, based on the results of the parameter optimization step, the working state of each module is updated in real time, and the adjusted parameters are sent back to each module. The feedback loop continuously monitors and adjusts the parameters. The formula is S_update = S_current + ΔS_adj, where ΔS_adj is the state change adjusted according to the optimization results, and finally the optimal electromagnetic compatibility management of the system is achieved. By updating the state in real time, it can be ensured that the system always maintains the best state during operation.

[0241] Example

[0242] Assume that there is a photovoltaic energy storage inverter control system with the following specific parameters:

[0243] Energy conversion module data (D_energy): 90;

[0244] Filter module data (D_filter): 85;

[0245] Voltage regulation module data (D_voltage): 88;

[0246] Isolation module data (D_isolation): 92;

[0247] Signal synchronization module data (D_sync): 87;

[0248] Power distribution module data (D_power): 86;

[0249] Interference suppression module data (D_interf): 89;

[0250] Monitoring feedback module data (D_monitor): 91;

[0251] Optimization coefficient (K_opt): 1.05;

[0252] Implementation steps:

[0253] Information aggregation step: Collect the operating data of all modules and record the initial aggregated data set:

[0254] D_all={90,85,88,92,87,86,89,91};

[0255] Data analysis steps: Analyze the data of each module in detail and calculate the comprehensive performance indicators:

[0256] P_index=(90+85+88+92+87+86+89+91) / 8≈88.625This step determines the comprehensive performance index of the system and provides a basis for subsequent parameter optimization.

[0257] Parameter optimization step: Using the results of the data analysis step, dynamically adjust the operating parameters of each module to optimize system performance:

[0258] P_opt=P_index*K_opt=88.625*1.05≈93.05625 In this step, the system parameters are gradually approached to the ideal state by adjusting the optimization parameters, thereby optimizing the system performance.

[0259] Status update step: Based on the results of the parameter optimization step, the working status of each module is updated in real time:

[0260] Assume that the current working status S_current is 88

[0261] The state change ΔS_adj adjusted according to the optimization result is P_opt-S_current=93.05625-88≈5.05625;

[0262] The updated working state S_update=S_current+ΔS_adj=88+5.05625≈93.05625;

[0263] Through the above steps and technical effects, the control center of the present invention can effectively integrate the information of all modules, dynamically adjust the working status of each part, and realize the optimized management of electromagnetic compatibility between multiple outputs. In combination with specific embodiments, it shows how to use formulas for information aggregation, data analysis, parameter optimization and status update processing, and finally realize efficient and stable system operation. This improvement not only improves the performance of the system, but also enhances its reliability and adaptability, and is suitable for various complex application scenarios.

[0264] In summary, the present invention realizes precise control and optimization of electromagnetic compatibility between different output ports by integrating energy conversion module, filtering module, voltage regulation module, isolation module, signal synchronization module, power distribution module, interference suppression module and monitoring feedback module, and dynamically adjusting the working status of each part by the control center.

[0265] In addition, the system can effectively reduce the mutual interference between the output channels, significantly improve the overall efficiency and stability of the system, and thus solve the efficiency reduction and potential stability problems caused by electromagnetic interference between the output channels in the existing technology. This improvement not only improves the performance of the system, but also enhances its reliability and adaptability, and is suitable for various complex application scenarios.

[0266] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. 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 multi-output single-phase photovoltaic energy storage inverter control system, characterized in that: include: an energy conversion module for receiving photovoltaic input and converting it into alternating current; A filter module connected to the energy conversion module is used to reduce current fluctuations, and a voltage regulation module connected to the filter module is used to adjust the output voltage according to load requirements; Isolation modules to ensure electrical independence between individual output paths; The signal synchronization module is connected after the isolation module to coordinate the time difference of signal transmission between different output paths; the power distribution module is connected to the signal synchronization module to optimize the power distribution according to the load conditions of each port; The interference suppression module uses the information from the power allocation module to eliminate potential electromagnetic interference. The monitoring feedback module is connected to the interference suppression module to collect system operation data for analysis; The control center integrates all module information, dynamically adjusts the working status of each part, and realizes optimized management of electromagnetic compatibility between multiple outputs.

2. A multi-output single-phase photovoltaic energy storage inverter control system according to claim 1, characterized in that: The method of receiving photovoltaic input and converting it into alternating current comprises: First, the direct current generated by the solar panels is captured; Then the DC voltage is adjusted to a preset value according to the voltage level of the photovoltaic input; Then a pulse width modulation signal is generated to control the on and off of the switching device to generate a high-frequency AC signal; Finally, the high-frequency components are filtered out, the fundamental components are retained, and AC output is obtained.

3. A multi-output single-phase photovoltaic energy storage inverter control system according to claim 2, characterized in that: The reducing current fluctuation comprises: First, monitor the current fluctuation of the energy conversion module output and record the initial current value; Then the current signal is decomposed into different frequency components, and the amplitude and phase of each frequency component are calculated; Then dynamically adjust the filter parameters to match the main interference frequency and set the filter cutoff frequency to ensure that the signals on all paths can arrive at the same time; Finally, the current is filtered using the adjusted filtering parameters to remove high-frequency interference components, retain the fundamental components, and ultimately output a stable current.

4. A multi-output single-phase photovoltaic energy storage inverter control system according to claim 3, characterized in that: The step of adjusting the output voltage according to the load requirement includes: First, measure the current load demand, record the initial load voltage, and then generate a reference voltage value to ensure that the output voltage meets the load demand; Then compare the difference between the actual output voltage and the reference voltage and calculate the difference; Finally, the output voltage of the inverter is dynamically adjusted by controlling the working state of the switching devices, so that the output voltage is finally stabilized within the set range.

5. A multi-output single-phase photovoltaic energy storage inverter control system according to claim 4, characterized in that: The electrical independence between the various output paths is ensured, including: First, capture the current and voltage signals in each output path and record the initial values; The current and voltage differences between the paths are then calculated to ensure that potential interference sources are identified; Then the parameters of the isolation components are dynamically adjusted to minimize the mutual influence between the paths; Finally, the signal synchronization processing is performed on each output path to ensure the consistency of signal transmission time between different paths, and finally achieve electrical independence between paths.

6. A multi-output single-phase photovoltaic energy storage inverter control system according to claim 5, characterized in that: The coordinating the time difference of signal transmission between different output paths includes: Firstly, the time stamps of the signals in each output path are captured and the initial timestamps are recorded; Then the signal transmission time difference between each path is calculated to ensure the delay difference between different paths is identified; Then the parameters of the synchronization elements are dynamically adjusted to minimize the time difference between the paths, ensuring that the signals on all paths arrive at the same time; Finally, the signal in each output path is corrected by introducing a delay or advance to compensate for the time difference, so that the signals on all paths arrive synchronously, ultimately achieving time consistency between the output paths.

7. A multi-output single-phase photovoltaic energy storage inverter control system according to claim 6, characterized in that: The optimizing of power distribution according to the load condition of each port includes: First, detect the load condition of each port in real time and record the initial load power; Then the actual power demand of each port is calculated, and the power allocation ratio between the ports in the system is dynamically adjusted according to the actual power demand of each port; The actual output power of each port is adjusted by controlling the working state of the inverter switch device, so that the output power of each port finally meets the optimized distribution ratio.

8. A multi-output single-phase photovoltaic energy storage inverter control system according to claim 7, characterized in that: The method of using information from the power distribution module to eliminate potential electromagnetic interference includes: First, monitor the electromagnetic interference level of each port and record the initial interference value; Then analyze and identify the main interference sources and their impact areas to ensure that the main sources of interference are determined; Then, the information provided by the power allocation module is used in combination with the results of interference source identification to dynamically adjust the power output of each port to reduce interference; Finally, filtering and shielding measures are applied to reduce residual electromagnetic interference.

9. A multi-output single-phase photovoltaic energy storage inverter control system according to claim 8, characterized in that: The collection system operation data for analysis includes: First, the operating data of each part of the system is collected in real time, and the initial voltage, current and power are recorded; The collected data are then classified and integrated to generate a comprehensive data package; Then, the information provided by the interference suppression module is used in combination with the results of data integration to evaluate the current state of the system and measure the overall performance of the system; Finally, the system parameters are adjusted dynamically to optimize performance, ultimately making the system run at its best.

10. A multi-output single-phase photovoltaic energy storage inverter control system according to claim 9, characterized in that: The control center integrates all module information, dynamically adjusts the working status of each part, and realizes the optimized management of electromagnetic compatibility between multiple outputs, including: First, collect the operating data of each module of the system and record the initial summary data set; Then, the data of each module is analyzed in detail to identify the problem points and optimization opportunities in the system; Then, using the results of data analysis, the operating parameters of each module are dynamically adjusted to optimize system performance; Finally, the working status of each module is updated in real time, and the adjusted parameters are sent back to each module. Through the feedback loop, continuous monitoring and adjustment are carried out to ultimately achieve optimal electromagnetic compatibility management of the system.

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