Implementation of photo voltaic based improved negative output self-lift luo converter using particle swarm optimization

S. Anandhi, V. Chamundeeswari
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引用次数: 2

Abstract

This project deals with an improved modifications of the negative output super-lift Luo converter that allows significant increase in the voltage transfer gain. The negative output super-lift Luo converter gives high negative output by using the VL technique. The input to the converter given by photovoltaic module. A PV module consists of number of series connected PV cells to produce higher voltage. A photovoltaic cell converts the solar energy into the electrical energy by the photovoltaic effect. The photovoltaic cells must be operated at their maximum power point. The maximum power point varies with illumination, temperature, radiation intensity. To track the maximum power from the PV cell, a technique named Particle swarm optimization (PSO) Maximum Power Point Tracking (MPPT) is employed with PID controller. In this method, the duty cycle is generated by the sensing of the panel voltage and current and the corresponding power values of it. Once the local maximum point of the voltage is reached, the Particle Swarm Optimization technique takes this point as a reference and generates the best duty cycle needed for tracking the maximum power from the PV cell. The proposed system is modelled and simulated using MATLAB/Simulink.
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利用粒子群优化实现基于光伏的改进型负输出自升力变流器
该项目涉及对负输出超升力罗变换器的改进修改,该变换器可以显着增加电压转移增益。负输出超升力罗变换器采用VL技术实现高负输出。逆变器的输入由光伏组件给出。光伏组件由多个串联的光伏电池组成,以产生更高的电压。光伏电池利用光伏效应将太阳能转化为电能。光伏电池必须在其最大功率点运行。最大功率点随光照、温度、辐射强度而变化。为了跟踪光伏电池的最大功率,采用了粒子群优化(PSO)最大功率点跟踪(MPPT)技术,并结合PID控制器。在这种方法中,占空比是通过感应面板电压和电流及其对应的功率值来产生的。一旦电压达到局部最大值点,粒子群优化技术就以该点为参考,生成跟踪光伏电池最大功率所需的最佳占空比。利用MATLAB/Simulink对系统进行了建模和仿真。
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