CN201985793U - Maximum power point following controller optimized on the basis of genetic algorithm - Google Patents

Abstract

The utility model is a maximum power point following controller based on genetic algorithm optimization for photovoltaic power generation systems, including a photovoltaic array voltage and current detection module, a disturbance observation method module based on genetic algorithm optimization, a control module, a PWM drive module and an output Voltage and current detection module. The biggest feature of the utility model is that it adopts the disturbance observation method module based on genetic algorithm optimization, so that the traditional disturbance observation algorithm can continuously self-optimize in the actual environment and improve the conversion efficiency.

Description

A Maximum Power Point Follower Controller Based on Genetic Algorithm Optimization

technical field

The utility model relates to a maximum power point following controller for a photovoltaic power generation system, in particular to a maximum power point following controller optimized based on a genetic algorithm.

Background technique

Energy is the most important material basis of the human world. At present, the world's energy mainly depends on petrochemical energy such as oil, natural gas, coal, etc., which have serious environmental pollution and very limited resources. Therefore, accelerating the development and utilization of renewable new energy has become an inevitable trend in the development of the world today. Solar energy is the most abundant renewable energy resource, which is of great significance to alleviating the energy crisis and reducing environmental pollution, and has broad application prospects. In the current situation of global petrochemical energy shortage and price soaring, many countries have adopted preferential policies to encourage the development and application of solar energy technology. In my country's Tenth Five-Year Energy Plan, the new energy plan is from 2009 to 2020. The overall plan is that by 2020, the total domestic investment in the new energy industry will exceed 3 trillion yuan, and solar energy will become the fastest growing energy industry in the next few years. , one of the new energy sources for new technology applications. At present, the most important way to apply solar energy is photovoltaic power generation. Since the photovoltaic array is affected by the intensity of sunlight and the ambient temperature, the inverter must adjust the output voltage of the photovoltaic array to approach the output voltage of the maximum power point to ensure that the photovoltaic array can obtain the maximum energy. At present, for the photovoltaic system, the most important thing is to adjust the voltage of the photovoltaic array output (PV terminal) to make it reach the maximum power point. The perturbation and observation method is widely used because of its simple algorithm, few measurement parameters, and easy implementation. Obvious disadvantages: First, even if it operates near the maximum power point, the disturbance cannot be stopped, and second, it is prone to misjudgment when the light intensity changes rapidly.

Utility model content

The purpose of this utility model is to provide a maximum power point follower controller that adopts a genetic algorithm-based optimization-based disturbance-and-observation method, so that the traditional disturbance-and-observation algorithm can continuously self-optimize in the actual environment and improve conversion efficiency.

The technical scheme that the utility model takes:

The utility model includes a photovoltaic array voltage and current detection module 1, a disturbance observation method module 2 based on genetic algorithm optimization, a control module 3, a PWM drive module 4 and an output voltage and current detection module 5.

Wherein the input terminal of the photovoltaic array voltage and current detection module 1 is connected to the photovoltaic array 6, the output terminal of the photovoltaic array voltage and current detection module 1 is connected to the disturbance observation method module 2 optimized based on the genetic algorithm, and the disturbance observation method module 2 based on the genetic algorithm optimization is further It is connected with the control module 3, the control module 3 is connected with the IGBT module 7 through the PWM drive module 4, the output terminal of the output voltage and current detection module 5 is connected with the control module 3, and the input terminal of the output voltage and current detection module 5 is connected with the three terminals of the public power grid 8. Phase voltage input terminal connection.

Features and advantages of the utility model:

The biggest feature of the utility model is that the disturbance observation method based on genetic algorithm optimization is adopted, so that the traditional disturbance observation algorithm can continuously self-optimize in the actual environment and improve the conversion efficiency.

Description of drawings

Fig. 1 is a schematic diagram of the utility model.

Detailed ways

The utility model includes a photovoltaic array voltage and current detection module 1, a disturbance observation method module 2 based on genetic algorithm optimization, a control module 3, a PWM drive module 4 and an output voltage and current detection module 5.

Wherein the input terminal of the photovoltaic array voltage and current detection module 1 is connected to the photovoltaic array 6, the output terminal of the photovoltaic array voltage and current detection module 1 is connected to the disturbance observation method module 2 optimized based on the genetic algorithm, and the disturbance observation method module 2 based on the genetic algorithm optimization is further It is connected with the control module 3, the control module 3 is connected with the IGBT module 7 through the PWM drive module 4, the output terminal of the output voltage and current detection module 5 is connected with the control module 3, and the input terminal of the output voltage and current detection module 5 is connected with the three terminals of the public power grid 8. Phase voltage input terminal connection. The photovoltaic array voltage and current detection module 1 is connected to the photovoltaic array 6 to detect the output voltage and current, and transmits the detected parameter values to the disturbance-observation method module 2 based on genetic algorithm optimization for optimization calculation, and then transmits the result to the control module 3 , the control module 3 combines the results with the output voltage and current parameters detected by the output voltage and current detection module 5 to make a judgment, and the control module 3 controls the IGBT module 7 through the PWM drive module 4 to deliver the required electric energy to On the power grid, the control module 3 finally transmits the control parameters and the current and voltage parameters of the power grid detected by the output voltage and current detection module 5 to the genetic algorithm-optimized disturbance-and-observation module 2 for continuous correction, thereby realizing the maximum power point following control function.

Claims (1)

1. maximum power point following controller based on genetic algorithm optimization, comprise photovoltaic array electric current and voltage detection module (1), disturbance observation module (2) based on genetic algorithm optimization, control module (3), PWM driver module (4) and output voltage current detection module (5), it is characterized in that: the input of photovoltaic array electric current and voltage detection module (1) connects photovoltaic array (6), the output of photovoltaic array electric current and voltage detection module (1) is connected with disturbance observation module (2) based on genetic algorithm optimization, disturbance observation module (2) based on genetic algorithm optimization is connected with control module (3) again, control module (3) is connected with I GBT module (7) by PWM driver module (4), the output of output voltage current detection module (5) is connected with control module (3), and the input of output voltage current detection module (5) is connected with the three-phase voltage input of utility network (8).

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