A photovoltaic power storage system and device based on intelligent control

Abstract

The present invention relates to the technical field of intelligent control of photovoltaic power supplies, and discloses a photovoltaic power supply system and device based on intelligent control, including a photovoltaic input module for monitoring the duty cycle of a boost unit capacitor and controlling the duty cycle of the boost unit capacitor, a bidirectional control module for monitoring the charging power of the photovoltaic power supply and controlling the output power of the photovoltaic power supply, a DC output module for controlling the output voltage of the DC output end of the photovoltaic power supply, an AC output module for controlling the output current of the AC output end of the photovoltaic power supply, and a control optimization module for monitoring and predicting the output power attenuation reception loss item of the photovoltaic power supply and optimizing the output strategy of the photovoltaic power supply, ensuring that each monitoring model is provided with an optimization unit, so that the units can communicate with each other and calibrate data.

Description

Technical Field

[0001] The invention relates to the technical field of intelligent control of photovoltaic power supply, and discloses a photovoltaic power supply system and device based on intelligent control. Background Art

[0002] Nowadays, battery energy storage technology is widely used in various industries, such as power batteries in the new energy automobile industry, mobile charging power supplies, home emergency power supplies, and field operation power supplies. According to different application scenarios, there are often different requirements for the series and parallel mode of battery packs, input and output interfaces, etc. However, in existing applications, the input charging interface has a single function and can generally only be charged by an external AC to DC charger. The output interface voltage is fixed and cannot automatically identify the voltage of the inserted device. Secondly, the existing charging management system is usually based on a preset charging mode and schedule, and lacks the ability to dynamically respond to environmental changes and user behavior. This may lead to low energy utilization or poor battery life.

[0003] For example, a Chinese patent with an existing authorization announcement number of CN116454949B discloses an intelligent control system for photovoltaic storage charging and discharging. The invention analyzes the basic information of the power generation equipment to obtain the appropriate charging current and appropriate charging voltage of the energy storage equipment, and then regulates the charging parameters and charging time of the energy storage equipment to ensure the stability and safety of the charging of the energy storage equipment and prevent overcharging; regulates the discharge parameters and discharge time of the energy storage equipment through the basic information of the power consumption equipment, so that the discharge of the energy storage equipment is in a stable state to prevent over-discharge; obtains the operating information of the energy storage equipment in the historical period, analyzes the performance attenuation coefficient of the energy storage equipment, further analyzes the reference remaining service life of the energy storage equipment, and analyzes the performance loss of the energy storage equipment in combination with multiple indicators, and then estimates the remaining service life of the energy storage equipment to improve the accuracy of the analysis results.

[0004] The above patent relies too much on data collection and processing, and does not specify how to ensure the accuracy and completeness of the data. In practical applications, the quality of data collection and processing directly affects the reliability and accuracy of subsequent analysis, and the accuracy of data collection will be reduced when the photovoltaic power source encounters harsh environmental conditions; no optimization unit is set for each monitoring model. Since the monitoring and prediction data of each monitoring model are interconnected, the accuracy and real-time performance of the model affect the accuracy of data monitoring and photovoltaic charging and discharging control. If no optimization model unit is set for each monitoring model, the photovoltaic charging and discharging cannot be controlled according to the actual environment, and no periodic calibration is set, which greatly reduces the real-time performance of the monitoring model algorithm. Summary of the invention

[0005] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0006] In order to solve the above technical problems, the main purpose of the present invention is to provide a photovoltaic power storage system based on intelligent control, comprising:

[0007] A photovoltaic input module, comprising a boost unit, a duty cycle monitoring model and a duty cycle control unit, wherein the duty cycle monitoring model is used to monitor the duty cycle of the boost unit capacitor, and the duty cycle control unit is used to control the duty cycle of the boost unit capacitor;

[0008] A bidirectional control module includes a photovoltaic charging power monitoring unit and an output control unit. The photovoltaic charging power monitoring unit is used to monitor the charging power of the photovoltaic storage power supply, and the output control unit is used to control the output power of the photovoltaic storage power supply.

[0009] A DC output module is used to control the output voltage of the DC output terminal of the photovoltaic power supply;

[0010] AC output module, used to control the output current of the AC output terminal of the photovoltaic power supply;

[0011] The control optimization module includes a performance attenuation monitoring unit, a loss term fitting unit and a control strategy optimization unit. The performance attenuation monitoring unit is used to monitor and predict the output power attenuation of the photovoltaic power supply. The loss term fitting unit is used to fit the loss term of the actual value and predicted value of the output power attenuation of the photovoltaic power supply. The control strategy optimization unit is used to receive the loss term and optimize the output strategy of the photovoltaic power supply.

[0012] As a preferred solution of the photovoltaic power storage system based on intelligent control of the present invention, wherein:

[0013] The duty cycle monitoring model monitors the voltage of the capacitor in real time through capacitor state monitoring, determines the duty cycle of the capacitor by measuring the ratio of the capacitor charging time to the capacitor discharging time, and evaluates the working efficiency and stability of the boost unit based on the monitoring result of the capacitor duty cycle;

[0014] The duty cycle monitoring model is monitored by calculating the ratio of the high level duration of the voltage signal to the total cycle. The expression is as follows:

[0015]

[0016] in, is the real-time data of capacitor duty cycle, is the high level duration of the voltage signal, is the total cycle time;

[0017] The duty cycle control unit receives the duty cycle monitoring and evaluation results and dynamically adjusts the charging and discharging time ratio of the capacitor according to system requirements to adjust the stability and accuracy of the output voltage;

[0018] The error rate between the actual duty cycle and the target duty cycle is evaluated by an error algorithm, and the error rate expression is as follows:

[0019]

[0020] in, is the duty cycle error rate, is the actual duty cycle, is the target duty cycle.

[0021] As a preferred solution of the photovoltaic power storage system based on intelligent control of the present invention, wherein:

[0022] The photovoltaic charging power monitoring unit includes the measured values ​​of light intensity and battery charging voltage and current, and then calculates the charging power of the photovoltaic power supply;

[0023] The charging power calculation expression is as follows:

[0024]

[0025] in, is the charging power, is the battery charging voltage, is the battery charging current, is the constant affecting the light intensity on the charging power of the solar storage power source, is the photovoltaic array area, G is the light intensity;

[0026] The photovoltaic power storage system determines the charging mode through the photovoltaic charging power monitoring unit and controls the energy supply mode through the output control unit;

[0027] If there is no load and the charging power is saturated, the photovoltaic array charges the photovoltaic storage power supply alone. If there is a load and the charging power is saturated, the excess electric energy after the load is consumed flows to the photovoltaic storage power supply for energy storage. If there is a load and the charging power is insufficient, the photovoltaic array and the original energy storage of the photovoltaic storage power supply jointly supply energy. If the charging power is 0, the original energy storage of the photovoltaic storage power supply supplies energy.

[0028] As a preferred solution of the photovoltaic power storage system based on intelligent control of the present invention, wherein:

[0029] If there is a load and the charging power is saturated, the excess electric energy after the load is consumed flows to the photovoltaic power supply for energy storage. If there is a load and the charging power is insufficient, the photovoltaic array and the original energy storage of the photovoltaic power supply jointly supply energy through the bidirectional control module;

[0030] The bidirectional control module includes a charging direction and a discharging direction, which are completed by the bidirectional control module. The bidirectional control module converts the charging direction voltage into the discharging direction voltage by controlling the line inductance current.

[0031] As a preferred solution of the photovoltaic power storage system based on intelligent control of the present invention, wherein:

[0032] The inductor current monitoring expression is as follows:

[0033]

[0034] in, is the inductor current, is the inductance value of the bidirectional control module, is the switching frequency, is the inductor terminal voltage, is the photovoltaic array conversion voltage, The ratio of the inductor terminal voltage to the photovoltaic array conversion voltage is used as the inductor current conversion coefficient;

[0035] By monitoring the inductor current, the original power output of the photovoltaic power supply is controlled. If the inductor current is greater than the preset threshold, the photovoltaic array converts the electrical energy into energy for load power supply and photovoltaic power supply charging.

[0036] As a preferred solution of the photovoltaic power storage system based on intelligent control of the present invention, wherein:

[0037] The DC output module receives the output voltage from the high-voltage side and outputs the DC voltage through the active full-bridge isolation converter of the photovoltaic power supply. The active full-bridge isolation converter of the photovoltaic power supply includes a transformer, a diode, a triode, and a capacitor. The mathematical model expression of the active full-bridge isolation converter of the photovoltaic power supply is as follows:

[0038]

[0039] in, is the output DC voltage value, is the number of turns on the primary side of the transformer, is the number of turns on the secondary side of the transformer, is the switching signal duty cycle, is the photovoltaic array conversion voltage value, is the load resistance, is the switching frequency, Inductor for voltage transmission;

[0040] The inductance equation and the capacitance equation of the three-phase inverter of the photovoltaic power supply are calculated by Lass transformation;

[0041] The calculation expression of the mathematical model of the AC voltage conversion state equation of the three-phase inverter of the photovoltaic power supply is as follows:

[0042]

[0043] in, is the A-phase AC terminal line voltage, is the AC line voltage at phase B, is the line voltage of phase C, s is the Lass transformation symbol, is the A-phase AC line current, is the B-phase AC line current, is the C-phase AC line current, is the phase A current, is the B phase current, is the C phase current, is the capacitance value in the filter circuit;

[0044] The calculation expression of the AC current conversion state equation of the three-phase inverter of the photovoltaic power supply is:

[0045]

[0046] in, is the A-phase AC terminal line voltage, is the AC line voltage at phase B, is the line voltage of phase C AC terminal, is the phase A voltage, is the B phase voltage, is the C phase voltage, is the inductance value in the filter circuit, is the line compensation constant;

[0047] The filter circuit is calculated as a two-port network transfer function as follows:

[0048]

[0049] in, is the two-port network inductance, is the two-port network capacitance, is the impedance of the two-port network.

[0050] As a preferred solution of the photovoltaic power storage system based on intelligent control of the present invention, wherein:

[0051] The performance attenuation monitoring unit includes a performance attenuation monitoring model. The performance attenuation monitoring model compares the power difference between the output power of the photovoltaic power supply at time j and at time j-1, and calculates the average attenuation value of the output power of the photovoltaic power supply in an iterative manner.

[0052] The performance degradation monitoring unit monitors the performance degradation through a performance degradation monitoring model. The calculation expression of the performance degradation monitoring model is as follows:

[0053]

[0054] in, is the performance degradation monitoring model, is the output power coefficient of the photovoltaic power supply, is the output power of the photovoltaic power supply at the jth moment, is the output power of the photovoltaic power supply at the j-1th moment, j is the ordinal number, taking 1, 2, 3, ..., n is the last moment of the time linearity, and C is the output power loss compensation of the photovoltaic power supply;

[0055] The loss term fitting unit includes comparison between actual value and predicted value, loss term calculation and data feedback;

[0056] The actual value and predicted value comparison is used to compare the output power attenuation value predicted by the performance attenuation monitoring unit with the actually monitored data;

[0057] Loss term calculation Based on the comparison results, the difference between the actual output power attenuation and the expected value is calculated and converted into loss terms. These loss terms reflect the energy loss and efficiency reduction of the system in actual operation;

[0058]

[0059] in, Output power attenuation prediction value for the performance attenuation monitoring model, is the actual value of the output power attenuation of the photovoltaic power supply, is the loss value.

[0060] As a preferred solution of the photovoltaic power storage system based on intelligent control of the present invention, wherein:

[0061] The control strategy optimization unit compensates the performance through gradient reverse optimization, and controls the charging of the photovoltaic power supply and the amplification of the energy storage system to maximize the energy utilization and reduce energy loss;

[0062] By calculating the attenuation value output by the performance attenuation monitoring model, and taking the partial derivative of the output power coefficient of the photovoltaic power supply for the predicted attenuation value, the output power gradient of the photovoltaic power supply is calculated inversely optimized;

[0063] The reverse optimization calculation expression of the output power gradient of the photovoltaic power supply is as follows:

[0064]

[0065] in, To find the mathematical notation for partial derivatives, To optimize the output power gradient of the photovoltaic power supply.

[0066] A photovoltaic power supply device based on intelligent control, comprising a photovoltaic array panel, a cabinet, an indicator light, a switch, a power socket, a photovoltaic power supply, a power distribution unit, a bidirectional control panel and an optimization control unit;

[0067] The photovoltaic array panel is set at one end of the cabinet to convert light energy into electrical energy and input the photovoltaic power supply as energy storage;

[0068] The indicator lights are arranged on one side of the cabinet, and the indicator lights include a system operation indicator light, a system control indicator light and a system error indicator light, and the system operation indicator light, the system control indicator light and the system error indicator light are located on the same plane;

[0069] The switch and the indicator light are on the same vertical plane, and the switch is used to control the operation and output power of the photovoltaic power supply device;

[0070] The power socket is set on one side of the cabinet to output electric energy and supply power to the load;

[0071] The optimization control unit is arranged at the bottom of the photovoltaic power supply device.

[0072] A preferred solution of a photovoltaic power supply device based on intelligent control, wherein:

[0073] The power distribution unit is located at the top of the photovoltaic power supply device;

[0074] The bidirectional control panel is used to connect the photovoltaic power supply, the power distribution unit and the optimization control unit;

[0075] The bidirectional control panel is located between the power distribution unit and the photovoltaic power supply;

[0076] The photovoltaic power supply and the optimization control unit are sequentially arranged at the bottom end of the photovoltaic power supply device.

[0077] As a preferred solution of the photovoltaic power storage system based on intelligent control of the present invention, wherein:

[0078] The output mode of the photovoltaic power supply can be selected and controlled by setting a DC output module and an AC output module;

[0079] The DC output module is used to control the output voltage of the DC output terminal of the photovoltaic power supply;

[0080] The AC output module is used to control the output current of the AC output terminal of the photovoltaic power supply, and controls the output AC current through current and voltage dual closed-loop decoupling control;

[0081] The output power of the photovoltaic power supply is optimized through gradient reverse optimization.

[0082] Beneficial effects of the present invention:

[0083] The present invention ensures that each monitoring model is equipped with an optimization unit, and each unit can communicate and calibrate data with each other to improve the accuracy of overall prediction and control. Setting the optimization model unit helps to make rapid adjustments when the real-time environment changes, ensuring that the photovoltaic storage charging and discharging control is adjusted according to the actual environmental changes. By introducing real-time data processing and feedback mechanisms, it ensures rapid response and adjustment of the monitoring model when data is updated and the environment changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0085] Figure 1 This is a system composition diagram of a photovoltaic power storage system based on intelligent control of the present invention;

[0086] Figure 2 This is a flow chart of a photovoltaic power storage system based on intelligent control of the present invention;

[0087] Figure 3 This is a partial circuit schematic diagram of the active full-bridge isolation converter of the photovoltaic power supply of the present invention;

[0088] Figure 4 This is an overall diagram of the housing of a photovoltaic power supply device based on intelligent control according to the present invention;

[0089] Figure 5 This is an internal schematic diagram of a photovoltaic power supply device based on intelligent control according to the present invention.

[0090] Figure numerals: 1. Photovoltaic array panel; 2. Cabinet; 3. Indicator light; 4. Switch; 5. Power socket; 6. Photovoltaic power supply; 7. Distribution unit; 8. Bidirectional control panel; 9. Optimization control unit. DETAILED DESCRIPTION

[0091] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0092] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0093] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0094] Embodiment 1

[0095] like Figure 1 As shown, a photovoltaic power storage system based on intelligent control includes:

[0096] A photovoltaic input module, comprising a boost unit, a duty cycle monitoring model and a duty cycle control unit, wherein the boost unit is used to increase the input voltage, the duty cycle monitoring model is used to monitor the duty cycle of the boost unit capacitor, and the duty cycle control unit is used to control the duty cycle of the boost unit capacitor;

[0097] Among them, the boost unit is used to convert the low voltage output by the photovoltaic array into a higher working voltage for subsequent storage and output;

[0098] The duty cycle monitoring model monitors the voltage of the capacitor in real time through capacitor status monitoring, determines the duty cycle of the capacitor by measuring the ratio of the capacitor charging time to the capacitor discharging time, and evaluates the working efficiency and stability of the boost unit based on the monitoring results of the capacitor duty cycle;

[0099] The specific implementation steps include: firstly, collecting enough duty cycle data samples and calculating the basic statistics of duty cycle;

[0100] Secondly, analyze the stability and accuracy of the duty cycle, check the trend and periodic changes of the duty cycle, evaluate whether the duty cycle is within the target range, and calculate the error rate.

[0101] Finally, the long-term changes in duty cycle are monitored through control charts for more in-depth spectrum analysis.

[0102] Furthermore, the duty cycle monitoring model is monitored by calculating the ratio of the high level duration of the voltage signal to the total cycle. The expression is as follows:

[0103]

[0104] in, is the real-time data of capacitor duty cycle, is the high level duration of the voltage signal, is the total cycle time;

[0105] The duration of the high level of the voltage signal is measured by a timer or counter in the circuit;

[0106] T is the time for one complete cycle of the control circuit, which is usually fixed or provided by an external clock source;

[0107] The calculated duty cycle is used in subsequent control logic to adjust the working state or output of the circuit.

[0108] The duty cycle control unit receives the duty cycle monitoring and evaluation results and dynamically adjusts the charging and discharging time ratio of the capacitor according to system requirements to adjust the stability and accuracy of the output voltage;

[0109] Furthermore, the error rate between the actual duty cycle and the target duty cycle is evaluated by an error algorithm. The error rate expression is as follows:

[0110]

[0111] in, is the duty cycle error rate, is the actual duty cycle, is the target duty cycle.

[0112] Furthermore, through the feedback mechanism, the duty cycle is continuously monitored and adjusted to cope with the impact of light changes and load fluctuations.

[0113] In order to ensure that the boost unit can provide a stable output voltage under different working conditions to meet the requirements of the photovoltaic power system for power conversion, the stability of the boost unit is controlled by controlling the capacitor duty cycle.

[0114] A bidirectional control module includes a photovoltaic charging power monitoring unit and an output control unit. The photovoltaic charging power monitoring unit is used to monitor the charging power of the photovoltaic storage power supply, and the output control unit is used to control the output power of the photovoltaic storage power supply.

[0115] Among them, the photovoltaic charging power monitoring unit includes the measurement values ​​of light intensity and battery charging voltage and current, and then calculates the charging power of the photovoltaic power supply;

[0116] By monitoring the current and voltage outputted from the charging controller to the photovoltaic power source, the current and voltage data are obtained;

[0117] Collect light intensity data through a light intensity sensor;

[0118] Furthermore, the charging power calculation expression is as follows:

[0119]

[0120] in, is the charging power, is the battery charging voltage, is the battery charging current, is the constant affecting the light intensity on the charging power of the solar storage power source, is the photovoltaic array area, G is the light intensity;

[0121] Among them, the influence coefficient of light intensity on the photovoltaic power supply is measured through experimental data, and the influence constant of light intensity on the charging power of the photovoltaic power supply is obtained, or the influence constant of light intensity on the charging power of the photovoltaic power supply can be known based on the parameters of the photovoltaic array board that has been produced;

[0122] The photovoltaic power storage system determines the charging mode through the photovoltaic charging power monitoring unit and controls the energy supply mode through the output control unit;

[0123] If there is no load and the charging power is saturated, the photovoltaic array charges the photovoltaic power supply alone. If there is a load and the charging power is saturated, the excess electric energy after the load is consumed flows to the photovoltaic power supply for energy storage. If there is a load and the charging power is insufficient, the photovoltaic array and the original energy storage of the photovoltaic power supply jointly supply energy. If the charging power is 0, the original energy storage of the photovoltaic power supply supplies energy.

[0124] Furthermore, if there is a load and the charging power is saturated, the excess electric energy after the load is consumed flows to the photovoltaic power supply for energy storage; if there is a load and the charging power is insufficient, the photovoltaic array and the original energy storage of the photovoltaic power supply jointly supply energy through the bidirectional control module;

[0125] The bidirectional control module includes charging and discharging directions, which are completed through the bidirectional control module. The bidirectional control module converts the charging direction voltage to the discharging direction voltage by controlling the line inductor current. The inductor current monitoring expression is as follows:

[0126]

[0127] in, is the inductor current, is the inductance value of the bidirectional control module, is the switching frequency, is the inductor terminal voltage, is the photovoltaic array conversion voltage, The ratio of the inductor terminal voltage to the photovoltaic array conversion voltage is used as the inductor current conversion coefficient;

[0128] By monitoring the inductor current, the original power output of the photovoltaic power supply is controlled. If the inductor current is greater than the preset threshold, the photovoltaic array converts the power to supply energy to the load and charge the photovoltaic power supply.

[0129] Furthermore, the bidirectional control module includes a low voltage side and a high voltage side, the low voltage side is used to receive the photovoltaic array conversion voltage, and the high voltage side is used to output a high voltage through a boost circuit after the photovoltaic array conversion voltage is converted;

[0130] A DC output module is used to control the output voltage of the DC output terminal of the photovoltaic power supply;

[0131] The DC output module receives the output voltage from the high-voltage side and outputs the DC voltage through the active full-bridge isolation converter of the photovoltaic power supply. The active full-bridge isolation converter of the photovoltaic power supply includes a transformer, a diode, a triode, and a capacitor. The mathematical model expression of the active full-bridge isolation converter of the photovoltaic power supply is as follows:

[0132]

[0133] in, is the output DC voltage value, is the number of turns on the primary side of the transformer, is the number of turns on the secondary side of the transformer, is the switching signal duty cycle, is the photovoltaic array conversion voltage value, is the load resistance, is the switching frequency, Inductor for voltage transmission;

[0134] The active switch of the full-bridge isolation converter can realize soft switching and reduce switching losses. The full-bridge topology makes full use of the transformer and improves the utilization rate of the magnetic core. It can perform voltage regulation well. By controlling the switch duty cycle, the output voltage can be accurately adjusted to meet the bidirectional energy transmission requirements of photovoltaic and energy storage systems.

[0135] like Figure 3 As shown, the schematic diagram of the partial circuit of the active full-bridge isolation converter of the photovoltaic power supply includes the first diode, the second diode, the third diode, the fourth diode, the fifth diode, the sixth diode, the seventh diode, and the eighth diode, wherein the first diode, the second diode, the third diode, and the fourth diode are located at the input end of the photovoltaic array conversion voltage, the fifth diode, the sixth diode, the seventh diode, and the eighth diode are located at the output right-angle voltage end, the capacitor is the support capacitor, the transformer and the voltage transmission inductor form a magnetic network, and the number of turns on the primary side of the transformer is , the number of turns on the secondary side of the transformer is ;

[0136] The AC output module is used to control the output current of the AC output terminal of the photovoltaic power supply, and controls the output AC current through current and voltage dual closed-loop decoupling control;

[0137] The AC output module is used to receive the converted voltage of the photovoltaic array and convert it into AC voltage output for the load through the three-phase inverter of the photovoltaic power supply;

[0138] The three-phase inverter of the photovoltaic power supply includes a supporting capacitor and a second-order filter circuit, and converts the DC voltage into AC voltage and the DC current into AC current through bipolar pulse width modulation control;

[0139] The inductance equation and capacitance equation of the three-phase inverter of the photovoltaic power supply are calculated through Lass transformation;

[0140] The calculation expression of the mathematical model of the AC voltage conversion state equation of the three-phase inverter of the photovoltaic power supply is as follows:

[0141]

[0142] in, is the A-phase AC terminal line voltage, is the B-phase AC terminal line voltage, is the line voltage of phase C, s is the Lass transformation symbol, is the A-phase AC line current, is the B-phase AC line current, is the C-phase AC line current, is the phase A current, is the B phase current, is the C phase current, is the capacitance value in the filter circuit;

[0143] The calculation expression of the AC current conversion state equation of the three-phase inverter of the photovoltaic power supply is:

[0144]

[0145] in, is the A-phase AC terminal line voltage, is the AC line voltage at phase B, is the line voltage of phase C AC terminal, is the phase A voltage, is the B phase voltage, is the C phase voltage, is the inductance value in the filter circuit, is the line compensation constant;

[0146] The state equation of the three-phase inverter of the photovoltaic power supply can be transformed by PARK to output the dq axis component of the output voltage of the filter circuit, the dq axis component of the output midpoint, the dq axis component of the wave circuit output current, and the dq axis component of the load current;

[0147] The transfer function calculation expression of the filter circuit as a two-port network is as follows:

[0148]

[0149] in, is the two-port network inductance, is the two-port network capacitance, is the two-port network impedance;

[0150] The cut-off frequency is .

[0151] The control optimization module includes a performance attenuation monitoring unit, a loss term fitting unit and a control strategy optimization unit. The performance attenuation monitoring unit is used to monitor and predict the attenuation of the output power of the photovoltaic power supply. The loss term fitting unit is used to fit the loss term of the actual value and predicted value of the output power attenuation of the photovoltaic power supply. The control strategy optimization unit is used to receive the loss term and optimize the output strategy of the photovoltaic power supply.

[0152] The performance attenuation monitoring unit includes monitoring output power attenuation, predicting attenuation trends and generating attenuation reports;

[0153] Monitor the analysis of historical data on output power attenuation and monitor the output power attenuation of photovoltaic power sources and energy storage systems.

[0154] The performance attenuation monitoring unit includes a performance attenuation monitoring model. The performance attenuation monitoring model compares the power difference between the output power of the photovoltaic power supply at time j and at time j-1, and calculates the average attenuation value of the output power of the photovoltaic power supply in an iterative manner.

[0155] The performance degradation monitoring unit monitors the performance degradation through the performance degradation monitoring model. The calculation expression of the performance degradation monitoring model is as follows:

[0156]

[0157] in, is the performance degradation monitoring model, is the output power coefficient of the photovoltaic power supply, is the output power of the photovoltaic power supply at the jth moment, is the output power of the photovoltaic power supply at the j-1th moment, j is the ordinal number, taking 1, 2, 3, ..., n is the last moment of the time linearity, and C is the output power loss compensation of the photovoltaic power supply;

[0158] The performance degradation monitoring model is based on mathematical formulas or statistical methods, and can quantify and describe the performance degradation trend. By monitoring key parameters such as voltage, current, temperature changes, etc., the performance degradation monitoring model can provide highly accurate performance degradation predictions to help prevent potential problems. Secondly, the performance degradation monitoring model can monitor the performance status of the device or system in real time and identify potential performance degradation trends. Once the possibility of performance degradation is detected, the model can immediately issue an alarm so that the operation and maintenance personnel can take timely measures to avoid further deterioration or failure of the equipment. Finally, by monitoring performance degradation, the model can help optimize the operation and management of the equipment or system. For example, timely adjust working parameters or operating strategies to maximize performance and efficiency and reduce resource waste.

[0159] Predict attenuation trend Based on real-time data and historical trends, predict future output power attenuation;

[0160] Generate a decay report to feed back the monitored data and prediction results to the control system for subsequent loss term fitting and strategy optimization.

[0161] The loss term fitting unit includes comparison between actual value and predicted value, loss term calculation and data feedback;

[0162] The actual value and predicted value comparison is used to compare the output power attenuation value predicted by the performance attenuation monitoring unit with the actually monitored data.

[0163] Loss term calculation Based on the comparison results, the difference between the actual output power attenuation and the expected value is calculated and converted into loss terms. These loss terms reflect the energy loss and efficiency reduction of the system in actual operation.

[0164]

[0165] in, Output power attenuation prediction value for the performance attenuation monitoring model, is the actual value of the output power attenuation of the photovoltaic power supply, is the loss value;

[0166] Data feedback is used to feed back the loss item data to the control strategy optimization unit as the input condition of the optimization strategy.

[0167] The control strategy optimization unit compensates the performance through gradient reverse optimization, and controls the charging of the photovoltaic power supply and the amplification of the energy storage system to maximize the energy utilization and reduce energy loss;

[0168] By calculating the attenuation value output by the performance attenuation monitoring model, and taking the partial derivative of the output power coefficient of the photovoltaic power supply for the predicted attenuation value, the output power gradient of the photovoltaic power supply is calculated inversely optimized;

[0169] The reverse optimization calculation expression of the output power gradient of the photovoltaic power supply is as follows:

[0170]

[0171]

[0172] in, To find the mathematical notation for partial derivatives, To optimize the output power gradient of the photovoltaic power supply.

[0173] The photovoltaic power supply system based on intelligent control also includes a safety assessment module, which includes a charging stability monitoring unit, a charging safety unit, a safety warning unit and an emergency processing unit. The charging stability monitoring unit is used to monitor the power supply quality of the photovoltaic power supply, the charging safety unit is used to monitor the charging and discharging of the photovoltaic power supply, the safety warning unit is used to send a safety warning signal when the photovoltaic power supply fails, and the emergency processing unit is used to handle faults that can be adaptively adjusted by the photovoltaic power supply system.

[0174] The charging stability monitoring unit includes power supply quality monitoring and stability assessment;

[0175] Power quality monitoring is used to monitor the voltage and current fluctuations of the photovoltaic battery group output in real time to ensure that they are within a safe range and to prevent power quality problems from affecting the stability and performance of the system.

[0176] Stability assessment is used to analyze the stability of voltage and current and identify any abnormal fluctuations or changes so that timely adjustments can be made or alarms can be issued.

[0177] The charging safety unit includes charging and discharging monitoring and safety assessment;

[0178] Charge and discharge monitoring is used to monitor the charging and discharging process of photovoltaic battery groups and energy storage systems in real time, including changes in key parameters such as current, voltage, and temperature;

[0179] Safety assessment is used to analyze monitoring data, detect whether there are safety risks such as overload, overcharge, over discharge, etc., and take measures to prevent system damage or safety accidents.

[0180] The safety warning unit includes fault detection and alarm issuance;

[0181] Fault detection is used to monitor the system's operating status and the working conditions of each unit in real time, and identify any possible faults or anomalies;

[0182] The alarm is used to immediately send out an alarm signal when a fault or potential risk is detected, notifying the operator or system maintenance personnel to take necessary repair measures.

[0183] The emergency processing unit includes adaptive regulation and emergency measures;

[0184] Adaptive regulation automatically adjusts the system's operating mode or switches to a backup plan based on the analysis results and alarm information of the safety assessment module to minimize the impact of faults on system operation.

[0185] Emergency measures provide guidance for operators or automation systems to perform emergency operations to ensure that the system can return to normal operation as soon as possible.

[0186] The safety assessment module effectively monitors and responds to safety and stability issues in the photovoltaic power storage system through the coordinated work of multiple units, thereby improving the reliability and safety of the system.

[0187] Embodiment 2

[0188] like Figure 2 As shown, an implementation process of a photovoltaic power storage system based on intelligent control includes:

[0189] S1, the photovoltaic array converts light energy into electrical energy, and increases the photovoltaic input power through the boost circuit;

[0190] S2, monitor and control the capacitor duty cycle in the boost circuit to ensure the stability and effectiveness of the photovoltaic input power;

[0191] S3, monitor the photovoltaic charging power through the photovoltaic charging power monitoring unit, and calculate the photovoltaic storage power supply energy storage efficiency and energy storage capacity, and then allocate and control the photovoltaic storage power supply output power;

[0192] The output mode of the photovoltaic power supply is selected and controlled by setting a DC output module and an AC output module;

[0193] Furthermore, a DC output module is used to control the output voltage of the DC output terminal of the photovoltaic power supply;

[0194] The AC output module is used to control the output current of the AC output terminal of the photovoltaic power supply, and controls the output AC current through current and voltage dual closed-loop decoupling control;

[0195] S4, optimizing and controlling the output power of the photovoltaic power supply by predicting the output power of the photovoltaic power supply;

[0196] S5. Set up safety warnings to monitor the charging and discharging quality of the photovoltaic power supply and perform adaptive adjustments to faults.

[0197] Embodiment 3

[0198] A photovoltaic power supply device based on intelligent control, comprising:

[0199] Photovoltaic array panel 1, cabinet 2, indicator light 3, switch 4, power socket 5, photovoltaic power supply 6, power distribution unit 7, bidirectional control panel 8 and optimization control unit 9;

[0200] like Figure 4 As shown, the photovoltaic array panel 1 is arranged at one end of the cabinet 2, and is used to convert light energy into electrical energy, which is input into the photovoltaic power supply 6 as energy storage energy;

[0201] The indicator light 3 is arranged on one side of the cabinet 2, and the indicator light 3 includes a system operation indicator light, a system control indicator light and a system error indicator light, and the system operation indicator light, the system control indicator light and the system error indicator light are located in the same plane;

[0202] The switch 4 and the indicator light 3 are in the same vertical plane, and the switch 4 is used to control the operation and output power of the photovoltaic power supply device;

[0203] The power socket 5 is arranged on one side of the cabinet 2 and is used to output electric energy to supply power to the load;

[0204] like Figure 5 As shown, the internal schematic diagram of the photovoltaic power supply device includes:

[0205] The power distribution unit 7 is located at the top of the photovoltaic power supply device;

[0206] The bidirectional control board 8 is used to connect the photovoltaic power supply 6, the power distribution unit 7 and the optimization control unit 9;

[0207] The bidirectional control board 8 is located between the power distribution unit 7 and the photovoltaic power supply 6;

[0208] The photovoltaic power source 6 and the optimization control unit 9 are sequentially arranged at the bottom end of the photovoltaic power source device.

[0209] Importantly, it should be noted that the construction and arrangement of the present application shown in a plurality of different exemplary embodiments are only exemplary. Although only two embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible, for example, the size, scale, structure, shape and ratio of various elements, and parameter values ​​(e.g., temperature, pressure, etc.), installation arrangement, use of materials, color, directional changes, etc., without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, the element shown as integrally formed can be composed of multiple parts or elements, the position of the element can be inverted or otherwise changed, and the nature or number or position of the discrete element can be changed or changed. Therefore, all such modifications are intended to be included in the scope of the present invention. The order or sequence of any process or method steps can be changed or reordered according to alternative embodiments. Any "device plus function" clause is intended to cover the structure of the execution function described in this article, and is not only structurally equivalent but also equivalent structure. Without departing from the scope of the present invention, other replacements, modifications, changes and omissions can be made in the design, operating conditions and arrangement of the exemplary embodiments. Therefore, the invention is not limited to a specific embodiment, but extends to numerous modifications still falling within the scope of the appended claims.

[0210] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment may not be described (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those features that are not relevant to implementing the invention).

[0211] It should be understood that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but for those of ordinary skill having the benefit of this disclosure, the development effort will be a routine task of design, fabrication, and production without undue experimentation.

[0212] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A photovoltaic power storage system based on intelligent control, characterized in that: include: A photovoltaic input module, comprising a boost unit, a duty cycle monitoring model and a duty cycle control unit, wherein the duty cycle monitoring model is used to monitor the duty cycle of the boost unit capacitor, and the duty cycle control unit is used to control the duty cycle of the boost unit capacitor; A bidirectional control module includes a photovoltaic charging power monitoring unit and an output control unit. The photovoltaic charging power monitoring unit is used to monitor the charging power of the photovoltaic storage power supply, and the output control unit is used to control the output power of the photovoltaic storage power supply. A DC output module is used to control the output voltage of the DC output terminal of the photovoltaic power supply; AC output module, used to control the output current of the AC output terminal of the photovoltaic power supply; The control optimization module includes a performance attenuation monitoring unit, a loss term fitting unit and a control strategy optimization unit. The performance attenuation monitoring unit is used to monitor and predict the attenuation of the output power of the photovoltaic power supply. The loss term fitting unit is used to fit the loss term of the actual value and predicted value of the output power attenuation of the photovoltaic power supply. The control strategy optimization unit is used to receive the loss term and optimize the output strategy of the photovoltaic power supply. The performance attenuation monitoring unit includes a performance attenuation monitoring model. The performance attenuation monitoring model compares the power difference between the output power of the photovoltaic power supply at time j and at time j-1, and calculates the average attenuation value of the output power of the photovoltaic power supply in an iterative manner. The performance degradation monitoring unit monitors the performance degradation through a performance degradation monitoring model. The calculation expression of the performance degradation monitoring model is as follows: ； in, is the performance degradation monitoring model, is the output power coefficient of the photovoltaic power supply, is the output power of the photovoltaic power supply at the jth moment, is the output power of the photovoltaic power supply at the j-1th moment, j is the ordinal number, taking 1, 2, 3, ..., n is the last moment of the time linearity, and C is the output power loss compensation of the photovoltaic power supply; The loss term fitting unit includes comparison between actual value and predicted value, loss term calculation and data feedback; The actual value and predicted value comparison is used to compare the output power attenuation value predicted by the performance attenuation monitoring unit with the actually monitored data; Loss term calculation Based on the comparison results, the difference between the actual output power attenuation and the expected value is calculated and converted into loss terms. These loss terms reflect the energy loss and efficiency reduction of the system in actual operation; ； in, Output power attenuation prediction value for the performance attenuation monitoring model, is the actual value of the output power attenuation of the photovoltaic power supply, is the loss value.

2. According to claim 1, a photovoltaic power system based on intelligent control is characterized in that: The duty cycle monitoring model monitors the voltage of the capacitor in real time through capacitor state monitoring, determines the duty cycle of the capacitor by measuring the ratio of the capacitor charging time to the capacitor discharging time, and evaluates the working efficiency and stability of the boost unit based on the monitoring result of the capacitor duty cycle; The duty cycle monitoring model is monitored by calculating the ratio of the high level duration of the voltage signal to the total cycle. The expression is as follows: ； in, is the real-time data of capacitor duty cycle, is the high level duration of the voltage signal, is the total cycle time; The duty cycle control unit receives the duty cycle monitoring and evaluation results and dynamically adjusts the charging and discharging time ratio of the capacitor according to system requirements to adjust the stability and accuracy of the output voltage; The error rate between the actual duty cycle and the target duty cycle is evaluated by an error algorithm, and the error rate expression is as follows: ； in, is the duty cycle error rate, is the actual duty cycle, is the target duty cycle.

3. The photovoltaic power system based on intelligent control according to claim 2 is characterized in that: The photovoltaic charging power monitoring unit includes the measured values ​​of light intensity and battery charging voltage and current, and then calculates the charging power of the photovoltaic power supply; The charging power calculation expression is as follows: ； in, is the charging power, is the battery charging voltage, is the battery charging current, is the constant affecting the light intensity on the charging power of the solar storage power source, is the photovoltaic array area, G is the light intensity; The photovoltaic power storage system determines the charging mode through the photovoltaic charging power monitoring unit and controls the energy supply mode through the output control unit; If there is no load and the charging power is saturated, the photovoltaic array charges the photovoltaic storage power supply alone. If there is a load and the charging power is saturated, the excess electric energy after the load is consumed flows to the photovoltaic storage power supply for energy storage. If there is a load and the charging power is insufficient, the photovoltaic array and the original energy storage of the photovoltaic storage power supply jointly supply energy. If the charging power is 0, the original energy storage of the photovoltaic storage power supply supplies energy.

4. The photovoltaic power storage system based on intelligent control according to claim 3 is characterized in that: If there is a load and the charging power is saturated, the excess electric energy after the load is consumed flows to the photovoltaic power supply for energy storage. If there is a load and the charging power is insufficient, the photovoltaic array and the original energy storage of the photovoltaic power supply jointly supply energy through the bidirectional control module; The bidirectional control module includes a charging direction and a discharging direction, which are completed by the bidirectional control module. The bidirectional control module converts the charging direction voltage into the discharging direction voltage by controlling the line inductance current.

5. The photovoltaic power storage system based on intelligent control according to claim 4 is characterized in that: The inductor current monitoring expression is as follows: ； in, is the inductor current, is the inductance value of the bidirectional control module, is the switching frequency, is the inductor terminal voltage, is the photovoltaic array conversion voltage, The ratio of the inductor terminal voltage to the photovoltaic array conversion voltage is used as the inductor current conversion coefficient; By monitoring the inductor current, the original power output of the photovoltaic power supply is controlled. If the inductor current is greater than the preset threshold, the photovoltaic array converts the electrical energy into energy for load power supply and photovoltaic power supply charging.

6. The photovoltaic power storage system based on intelligent control according to claim 5 is characterized in that: The DC output module receives the output voltage from the high-voltage side and outputs the DC voltage through the active full-bridge isolation converter of the photovoltaic power supply. The active full-bridge isolation converter of the photovoltaic power supply includes a transformer, a diode, a triode, and a capacitor. The mathematical model expression of the active full-bridge isolation converter of the photovoltaic power supply is as follows: ； in, is the output DC voltage value, is the number of turns on the primary side of the transformer, is the number of turns on the secondary side of the transformer, is the switching signal duty cycle, is the photovoltaic array conversion voltage value, is the load resistance, is the switching frequency, Inductor for voltage transmission; The inductance equation and the capacitance equation of the three-phase inverter of the photovoltaic power supply are calculated by Lass transformation; The calculation expression of the mathematical model of the AC voltage conversion state equation of the three-phase inverter of the photovoltaic power supply is as follows: ； in, is the A-phase AC line voltage, is the AC line voltage at phase B, is the line voltage of phase C, s is the Lass transformation symbol, is the A-phase AC line current, is the B-phase AC line current, is the C-phase AC line current, is the phase A current, is the B phase current, is the C phase current, is the capacitance value in the filter circuit; The calculation expression of the AC current conversion state equation of the three-phase inverter of the photovoltaic power supply is: ； in, is the A-phase AC line voltage, is the AC line voltage at phase B, is the line voltage of phase C AC terminal, is the A phase voltage, is the B phase voltage, is the C phase voltage, is the inductance value in the filter circuit, is the line compensation constant; The filter circuit is calculated as a two-port network transfer function as follows: ； in, is the two-port network inductance, is the two-port network capacitance, is the impedance of the two-port network.

7. The photovoltaic power storage system based on intelligent control according to claim 6 is characterized in that: The control strategy optimization unit compensates the performance through gradient reverse optimization, and controls the charging of the photovoltaic power supply and the amplification of the energy storage system to maximize the energy utilization and reduce energy loss; By calculating the attenuation value output by the performance attenuation monitoring model, and taking the partial derivative of the output power coefficient of the photovoltaic power supply for the predicted attenuation value, the output power gradient of the photovoltaic power supply is calculated inversely optimized; The reverse optimization calculation expression of the output power gradient of the photovoltaic power supply is as follows: ； in, To find the mathematical notation for partial derivatives, To optimize the output power gradient of the photovoltaic power supply.

8. A photovoltaic power supply device based on intelligent control, used to implement a photovoltaic power supply system based on intelligent control according to any one of claims 1 to 7, characterized in that: include: Photovoltaic array panel (1), cabinet (2), indicator light (3), switch (4), power socket (5), photovoltaic power supply (6), power distribution unit (7), bidirectional control panel (8) and optimization control unit (9); The photovoltaic array panel (1) is arranged at one end of the cabinet (2) and is used to convert light energy into electrical energy and input it into a photovoltaic power supply (6) as energy storage energy; The indicator light (3) is arranged on one side of the cabinet (2); The switch (4) and the indicator light (3) are located in the same vertical plane, and the switch (4) is used to control the operation and output power of the photovoltaic power supply device; The power socket (5) is arranged on one side of the cabinet (2); The optimization control unit (9) is arranged at the bottom end of the photovoltaic power supply device.

9. The photovoltaic power supply device based on intelligent control according to claim 8, characterized in that: The power distribution unit (7) is located at the top of the photovoltaic power supply device; The bidirectional control panel (8) is used to connect the photovoltaic power supply (6), the power distribution unit (7) and the optimization control unit (9); The bidirectional control panel (8) is located between the power distribution unit (7) and the photovoltaic power supply (6); The photovoltaic power source (6) and the optimization control unit (9) are sequentially arranged at the bottom end of the photovoltaic power source device.

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