利用灰狼优化器提高太阳能升压转换器的性能

Q3 Engineering
Diagnostyka Pub Date : 2024-07-10 DOI:10.29354/diag/190809
B. Salih, A. N. Hamoody, Rasha A. Mohammed, Ali S. Salih
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引用次数: 0

摘要

直流-直流转换系统之一是升压转换器,通常用于太阳能系统,将低直流电压转换为较高电压。这在太阳能系统中特别有用,因为太阳能电池板产生的电压会因日照量和电池板温度等因素而变化很大。必须控制升压的占空比,以获得最大输出功率。使用灰狼优化器控制升压转换器的占空比是获得最大功率的方法之一。优化问题可以表述为:通过优化占空比,使升压转换器输出的电压误差最小。目标函数可定义为预期输出电压与升压转换器实际输出电压之间的差值。占空比可以通过调整控制升压转换器开关的 PWM 信号脉宽来优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing the performance of solar boost converter using Gray Wolf optimizer
One of the DC-DC conversion systems is boost converters which are used in commonly with solar systems to convert low DC voltage levels to higher ones. This is particularly useful in solar systems because the voltage generated by solar panels can vary widely depending on factors such as the amount of sunlight and the temperature of the panels. The duty cycle of the boost must be controlled to have the maximum output power. Using the Grey Wolf Optimizer to control the duty cycle of a boost converter is one of the ways to have this maximum power. The optimization problem can be stated as minimizing the voltage error of the boost converter output by optimizing the duty cycle. The objective function can be defined as the difference between the desired output voltage and the actual output voltage of the boost converter. The duty cycle can be optimized by adjusting the PWM signal's pulse width that controls the boost converter switch.
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来源期刊
Diagnostyka
Diagnostyka Engineering-Mechanical Engineering
CiteScore
2.20
自引率
0.00%
发文量
41
期刊介绍: Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.
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