Intelligent photovoltaic interface optimization system and control method thereof

Abstract

The invention relates to the technical field of intelligent photovoltaic interfaces, in particular to an intelligent photovoltaic interface optimization system and a control method thereof, and the system comprises a data acquisition module, an improved MPPT control module, a PI control module, a PWM generator module, a heat dissipation management module, a user interface module, an interleaved boost converter, a communication interface, a power management unit and a safety protection unit. The data acquisition module is used for acquiring voltage and current data of a photovoltaic array in real time; according to the invention, the improved MPPT algorithm is adopted, so that the problem of traditional Pamp is solved; the problem that an O algorithm is slow in response speed and prone to falling into a local maximum power point when illumination intensity and temperature change greatly is solved, algorithm parameters are adjusted in real time according to environmental changes, the system can track the global maximum power point more quickly and accurately, and therefore the power generation efficiency of the photovoltaic system is improved, and the system reliability is improved. Therefore, the comprehensive logging instrument using the photovoltaic wireless transmission interface for signal transmission can stably work when being installed at a position where the illumination intensity changes violently and the temperature fluctuates rapidly.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent photovoltaic interfaces, and in particular to an intelligent photovoltaic interface optimization system and a control method thereof. Background Art

[0002] In the process of oil and gas drilling, the integrated logging instrument is one of the key equipment, which is used to collect and analyze various parameters in the drilling process in real time. Traditional integrated logging instruments usually use CAN bus or multi-core signal wires for signal transmission. These methods have the problems of high cost, heavy weight, high installation intensity, high risk and easy to be struck by induced lightning. In order to solve these problems, the existing technology uses wireless transmission interface for signal transmission, and photovoltaic wireless transmission interface for signal transmission system is one of them;

[0003] In existing photovoltaic wireless transmission interface systems, the maximum power point tracking (MPPT) algorithm is usually used to ensure that photovoltaic cells can operate at the maximum power point (MPP) under various lighting conditions. Among them, the perturbation and observation (P&O) algorithm is the most common MPPT method;

[0004] However, this traditional P&O algorithm exhibits slow response speed and is prone to falling into the local maximum power point when the light intensity changes drastically or the temperature fluctuates rapidly. Even in an environment with relatively stable light and temperature conditions, the performance of the P&O algorithm may be limited, resulting in reduced system efficiency. In order to cope with the installation of the integrated logging instrument in a location where the light intensity changes drastically and the temperature fluctuates rapidly, an intelligent photovoltaic interface optimization system and its control method are proposed to address the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent photovoltaic interface optimization system and a control method thereof to solve the problem that the traditional P&O algorithm exhibits a slow response speed and is easily trapped in the local maximum power point when the light intensity changes drastically or the temperature fluctuates rapidly. Even in an environment where the light and temperature conditions are relatively stable, the performance of the P&O algorithm may be limited, resulting in reduced system efficiency. This is to address the problem that the integrated logging instrument is installed in a location where the light intensity changes drastically and the temperature fluctuates rapidly.

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

[0007] An intelligent photovoltaic interface optimization system and control method thereof, comprising a data acquisition module, an improved MPPT control module, a PI control module, a PWM generator module, a heat dissipation management module, a user interface module, an interleaved boost converter, a communication interface, a power management unit and a safety protection unit;

[0008] The data acquisition module is used to collect voltage and current data of the photovoltaic array in real time;

[0009] The improved MPPT control module is used to calculate the maximum power point of the photovoltaic array according to the data collected by the data acquisition module. The reference voltage calculation formula of the improved MPPT control module is:

[0010] V ref =f MPPT (V, I)

[0011] The reference current calculation formula of the improved MPPT control module is:

[0012] I ref =g MPPT (V, I)

[0013] Where V ref is the reference voltage, I ref is the reference current;

[0014] The PI control module is used to control the maximum power point according to the deviation between the maximum power point and the current working point, and Adjust the duty cycle;

[0015] Where D(t) is the PWM duty cycle, e(t) is the deviation signal, and K p and K i are proportional and integral control coefficients respectively;

[0016] The PWM generator module is used to generate a PWM signal according to the output of the PI control module to drive the interleaved Boost converter;

[0017] The heat dissipation management module is used to monitor the system temperature and dynamically adjust the heat dissipation strategy;

[0018] The user interface module is used to display system status and perform user interaction;

[0019] The interleaved boost converter is used to increase the output voltage of the photovoltaic array to match the requirements of the power grid and the load;

[0020] The communication interface is used for data transmission between modules within the system and connection with external monitoring systems and networks;

[0021] The power management unit is used for power supply of the entire system;

[0022] The safety protection unit is used to ensure that the system can operate safely under abnormal circumstances.

[0023] As further optimized content of the present invention, wherein: the communication interface includes wireless and wired communication interfaces, the safety protection unit includes overload protection, short circuit protection, and leakage protection, and the user interface module allows the operator to monitor the system operation and perform necessary configuration and control.

[0024] As further optimized content of the present invention, the improved MPPT control module adopts an improved disturbance observation (P&O) algorithm, and the improved disturbance observation (P&O) algorithm introduces a local optimal detection mechanism. When it is detected that the output power stops increasing, the algorithm will further perturb to confirm whether it is a local optimal point, and jump out of the local optimal point through a suitable jumping strategy to continue to find the global maximum power point;

[0025] The improved perturbation and observation (P&O) algorithm introduces trend analysis of photovoltaic system historical data;

[0026] The improved perturbation and observation (P&O) algorithm calculates the reference voltage V ref and reference current I ref When the reference value is adjusted dynamically, the dynamic characteristics of the photovoltaic array and environmental changes are combined.

[0027] As a further optimized content of the present invention, wherein: the proportional control coefficient K of the PI controller module p and integral control coefficient K i Dynamic adjustment based on actual working conditions.

[0028] As a further optimized content of the present invention, the heat dissipation management module includes multiple temperature sensors for real-time monitoring of system temperature and regulating the temperature through a heat dissipation fan in conjunction with a liquid cooling system.

[0029] As a further optimized content of the present invention, the heat dissipation management module can predict the future temperature trend according to the historical data of the system temperature and adjust the heat dissipation strategy in advance.

[0030] As a further optimized content of the present invention, the following steps are included:

[0031] Step I: Data acquisition: The data acquisition module collects the voltage and current data of the photovoltaic array in real time;

[0032] Step II: Improved MPPT algorithm: The improved MPPT control module calculates the reference voltage V through the collected data ref and reference current I ref ;

[0033] Step III: PI control: The PI control module adjusts the PWM duty cycle through the PI controller according to the deviation between the maximum power point and the current operating point;

[0034] Step IV: PWM signal generation: The PWM generator module generates a PWM signal according to the output of the PI control module, controls the interleaved Boost converter, and increases the output voltage of the photovoltaic array to match the requirements of the grid or load;

[0035] Step V: Thermal management: Monitor system temperature and dynamically adjust thermal strategies.

[0036] As a further optimization of the present invention, the improved MPPT algorithm adaptively adjusts algorithm parameters according to the light intensity and the rate of temperature change.

[0037] As a further optimized content of the present invention, wherein: the PWM signal generating step includes generating a high-frequency PWM signal to improve conversion efficiency and reduce electromagnetic interference.

[0038] As a further optimization of the present invention, the heat dissipation management step dynamically predicts future temperature trends based on temperature sensor data and historical records, and adjusts the heat dissipation strategy in advance to avoid system overheating.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] 1. In the present invention, by adopting an improved MPPT algorithm, the problem of the traditional P&O algorithm being slow in response and easy to fall into the local maximum power point when the light intensity and temperature change greatly is solved. The improved algorithm can adjust the algorithm parameters in real time according to environmental changes, so that the system can track the global maximum power point more quickly and accurately, thereby significantly improving the power generation efficiency of the photovoltaic system, so as to ensure that the comprehensive logging instrument using the photovoltaic wireless transmission interface for signal transmission is installed in a location where the light intensity changes violently and the temperature fluctuates rapidly and works stably;

[0041] 2. In the present invention, the introduction of high-frequency PWM signal in the PWM signal generation step can effectively reduce electromagnetic interference, which not only improves the stability of the photovoltaic system, but also reduces the impact on surrounding equipment, ensures the reliable operation of the system in a complex electromagnetic environment, and further optimizes the overall performance and user experience of the photovoltaic system;

[0042] 3. In the present invention, by dynamically predicting future temperature trends and adjusting the heat dissipation strategy in advance based on temperature sensor data, the problem of passive and inefficient heat dissipation management in traditional photovoltaic systems is solved. The intelligent heat dissipation management module can effectively prevent system overheating in high temperature environments, while avoiding unnecessary excessive heat dissipation, thereby extending the service life of the photovoltaic system and improving the reliability of the overall system. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1The present invention is a flow chart of an intelligent photovoltaic interface optimization system and a control method thereof. DETAILED DESCRIPTION

[0044] See also Figure 1 , the present invention provides a technical solution:

[0045] An intelligent photovoltaic interface optimization system and control method thereof, comprising a data acquisition module, an improved MPPT control module, a PI control module, a PWM generator module, a heat dissipation management module, a user interface module, an interleaved boost converter, a communication interface, a power management unit and a safety protection unit;

[0046] The data acquisition module is used to collect the voltage and current data of the photovoltaic array in real time;

[0047] The improved MPPT control module is used to calculate the maximum power point of the photovoltaic array according to the data collected by the data acquisition module. The reference voltage calculation formula of the improved MPPT control module is:

[0048] V ref =f MPPT (V, I)

[0049] The reference current calculation formula of the improved MPPT control module is:

[0050] I ref =g MPPT (V, I)

[0051] Where V ref is the reference voltage, I ref is the reference current;

[0052] The PI control module is used to control the maximum power point according to the deviation between the maximum power point and the current working point, and Adjust the duty cycle;

[0053] Where D(t) is the PWM duty cycle, e(t) is the deviation signal, and K p and K i are proportional and integral control coefficients respectively;

[0054] The PWM generator module is used to generate PWM signals according to the output of the PI control module to drive the interleaved Boost converter:

[0055] The heat dissipation management module is used to monitor the system temperature and dynamically adjust the heat dissipation strategy;

[0056] The user interface module is used to display system status and perform user interaction;

[0057] Interleaved boost converters are used to increase the output voltage of the photovoltaic array to match the requirements of the grid and load;

[0058] The communication interface is used for data transmission between modules within the system and for connection with external monitoring systems and networks;

[0059] The power management unit is used to supply power to the entire system;

[0060] The safety protection unit is used to ensure that the system can operate safely under abnormal circumstances;

[0061] The above solution improves the response speed and tracking accuracy of the photovoltaic system under conditions of light and temperature changes through the improved MPPT algorithm, significantly improving the power generation efficiency. At the same time, by introducing the heat dissipation management module, it effectively guarantees the long-term stable operation of the system and adapts to the photovoltaic power generation needs under various complex environmental conditions.

[0062] As a technical solution for further implementation of this solution, the communication interface includes wireless and wired communication interfaces, the safety protection unit includes overload protection, short circuit protection, and leakage protection, and the user interface module allows the operator to monitor the system operation and perform necessary configuration and control. Through the above settings, the stability of the photovoltaic interface system is further improved;

[0063] As a technical solution for further implementation of this scheme, the improved MPPT control module adopts an improved disturbance observation (P&O) algorithm. The improved disturbance observation (P&O) algorithm introduces a local optimal detection mechanism. When it is detected that the output power stops increasing, the algorithm will further perturb to confirm whether it is a local optimal point, and jump out of the local optimal point through a suitable jumping strategy to continue to find the global maximum power point;

[0064] An improved perturbation and observation (P&O) algorithm is introduced to analyze the trend of historical data of photovoltaic systems;

[0065] The improved perturb and observe (P&O) algorithm is used to calculate the reference voltage V ref and reference current I ref When the reference value is adjusted dynamically, the dynamic characteristics of the photovoltaic array and environmental changes are combined. The improved perturbation and observation (P&O) algorithm is used to optimize the response speed and accuracy under conditions of drastic changes in light intensity and temperature.

[0066] As a technical solution for further implementation of this solution, the proportional control coefficient K of the PI controller module p and integral control coefficient K i Dynamic adjustment based on actual working conditions, through the above settings, the control accuracy of the system is further improved;

[0067] As a technical solution for further implementation of this solution, the heat dissipation management module includes multiple temperature sensors for real-time monitoring of system temperature, and adjusts the temperature through a heat dissipation fan in conjunction with a liquid cooling system, which can simultaneously monitor the temperature and dissipate heat at multiple points;

[0068] As a technical solution for further implementation of this solution, the heat dissipation management module can predict future temperature trends based on historical data of system temperature, and adjust the heat dissipation strategy in advance, thereby improving the adjustment efficiency;

[0069] As a technical solution for further implementing this plan, the following steps are included:

[0070] Step I: Data acquisition: The data acquisition module collects the voltage and current data of the photovoltaic array in real time;

[0071] Step II: Improved MPPT algorithm: The improved MPPT control module calculates the reference voltage V through the collected data ref and reference current I ref ;

[0072] Step III: PI control: The PI control module adjusts the PWM duty cycle through the PI controller according to the deviation between the maximum power point and the current operating point;

[0073] Step IV: PWM signal generation: The PWM generator module generates a PWM signal according to the output of the PI control module, controls the interleaved Boost converter, and increases the output voltage of the photovoltaic array to match the requirements of the grid and the load;

[0074] Step V: Thermal management: Monitor system temperature and dynamically adjust thermal strategies;

[0075] As a technical solution for further implementation of this solution, the improved MPPT algorithm adaptively adjusts the algorithm parameters according to the rate of change of light intensity and temperature. The system can more flexibly respond to environmental changes. Traditional MPPT algorithms usually use fixed parameters, which may cause the system to respond slowly or inaccurately when light or temperature changes rapidly. Adaptive adjustment can optimize the response speed and accuracy of the algorithm, ensuring that the photovoltaic system always operates in the best state, thereby improving power generation efficiency.

[0076] As a technical solution for further implementation of the present invention, the PWM signal generation step includes generating a high-frequency PWM signal to improve conversion efficiency and reduce electromagnetic interference. Generating a high-frequency PWM signal can improve conversion efficiency and reduce electromagnetic interference. The high-frequency PWM signal can make the output of the interleaved boost converter smoother, reduce energy loss, and reduce the impact of electromagnetic interference on surrounding equipment and systems. This optimization plays an important role in improving the overall performance and reliability of the system, especially in situations requiring high precision and high stability.

[0077] As a technical solution for further implementation of this solution, the heat dissipation management step dynamically predicts future temperature trends based on temperature sensor data and historical records, and adjusts the heat dissipation strategy in advance to avoid system overheating. Based on the temperature sensor data and historical records, the future temperature trend is dynamically predicted and the heat dissipation strategy is adjusted in advance. The system can better cope with temperature fluctuations and avoid overheating problems. Preventive heat dissipation strategies help maintain system stability and extend the service life of the equipment, avoiding performance degradation or system failure due to overheating. In addition, adjusting the heat dissipation strategy in advance can also reduce energy consumption and improve the overall energy efficiency of the system.

[0078] This article uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only used to help understand the method and core ideas of the present invention. The above is only a preferred implementation of the present invention. It should be pointed out that due to the limitations of textual expression and the objective existence of infinite specific structures, ordinary technicians in this technical field can make several improvements, modifications or changes without departing from the principles of the present invention, and can also combine the above technical features in an appropriate manner; these improvements, modifications, changes or combinations, or the direct application of the inventive concept and technical solution to other occasions without improvement, should be regarded as the protection scope of the present invention.

Claims

1. An intelligent photovoltaic interface optimization system, characterized in that: It includes data acquisition module, improved MPPT control module, PI control module, PWM generator module, heat dissipation management module, user interface module, interleaved boost converter, communication interface, power management unit and safety protection unit; The data acquisition module is used to collect voltage and current data of the photovoltaic array in real time; The improved MPPT control module is used to calculate the maximum power point of the photovoltaic array according to the data collected by the data acquisition module. The reference voltage calculation formula of the improved MPPT control module is: V ref =f MPPT (V,I) The reference current calculation formula of the improved MPPT control module is: I ref =g MPPT (V,I) Where V ref is the reference voltage, I ref is the reference current; The PI control module is used to control the maximum power point according to the deviation between the maximum power point and the current working point, and Adjust the duty cycle; Where D(t) is the PWM duty cycle, e(t) is the deviation signal, and K p and K i are proportional and integral control coefficients respectively; The PWM generator module is used to generate a PWM signal according to the output of the PI control module to drive the interleaved Boost converter; The heat dissipation management module is used to monitor the system temperature and dynamically adjust the heat dissipation strategy; The user interface module is used to display system status and perform user interaction; The interleaved boost converter is used to increase the output voltage of the photovoltaic array to match the requirements of the power grid and the load; The communication interface is used for data transmission between modules within the system and connection with external monitoring systems and networks; The power management unit is used for power supply of the entire system; The safety protection unit is used to ensure that the system can operate safely under abnormal circumstances.

2. The intelligent photovoltaic interface optimization system according to claim 1, characterized in that: The communication interface includes wireless and wired communication interfaces, the safety protection unit includes overload protection, short circuit protection, and leakage protection, and the user interface module allows the operator to monitor system operation and perform necessary configuration and control.

3. The intelligent photovoltaic interface optimization system according to claim 1, characterized in that: The improved MPPT control module adopts an improved perturbation and observation (P&O) algorithm. The improved perturbation and observation (P&O) algorithm introduces a local optimal detection mechanism. When it is detected that the output power stops increasing, the algorithm will further perturb to confirm whether it is a local optimal point, and jump out of the local optimal point through a suitable jumping strategy to continue to find the global maximum power point; The improved perturbation and observation (P&O) algorithm introduces trend analysis of photovoltaic system historical data; The improved perturbation and observation (P&O) algorithm calculates the reference voltage V ref and reference current I ref When the reference value is adjusted dynamically, the dynamic characteristics of the photovoltaic array and environmental changes are combined.

4. The intelligent photovoltaic interface optimization system according to claim 1, characterized in that: The proportional control coefficient K of the PI controller module p and integral control coefficient K i Dynamic adjustment based on actual working conditions.

5. The intelligent photovoltaic interface optimization system according to claim 1, characterized in that: The heat dissipation management module includes a plurality of temperature sensors for real-time monitoring of system temperature and regulating the temperature through a heat dissipation fan in conjunction with a liquid cooling system.

6. The intelligent photovoltaic interface optimization system according to claim 1, characterized in that: The heat dissipation management module can predict future temperature trends based on historical data of system temperature and adjust the heat dissipation strategy in advance.

7. The control method of the intelligent photovoltaic interface optimization system according to claim 1, characterized in that: The following steps are involved: Step I: Data acquisition: The data acquisition module collects the voltage and current data of the photovoltaic array in real time; Step II: Improved MPPT algorithm: The improved MPPT control module calculates the reference voltage V through the collected data ref and reference current I ref ; Step III: PI control: The PI control module adjusts the PWM duty cycle through the PI controller according to the deviation between the maximum power point and the current operating point; Step IV: PWM signal generation: The PWM generator module generates a PWM signal according to the output of the PI control module, controls the interleaved Boost converter, and increases the output voltage of the photovoltaic array to match the requirements of the grid and the load; Step V: Thermal management: Monitor system temperature and dynamically adjust thermal strategies.

8. The control method of the intelligent photovoltaic interface optimization system according to claim 7, characterized in that: The improved MPPT algorithm adaptively adjusts algorithm parameters according to the light intensity and the rate of temperature change.

9. The control method of the intelligent photovoltaic interface optimization system according to claim 7, characterized in that: The PWM signal generating step includes generating a high frequency PWM signal to improve conversion efficiency and reduce electromagnetic interference.

10. The control method of the intelligent photovoltaic interface optimization system according to claim 7, characterized in that: The heat dissipation management step dynamically predicts future temperature trends based on temperature sensor data and historical records, and adjusts the heat dissipation strategy in advance to avoid system overheating.

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