User Guide
Why can I only view 3 results?
You can also view all results when you are connected from the network of member institutions only. For non-member institutions, we are opening a 1-month free trial version if institution officials apply.
So many results that aren't mine?
References in many bibliographies are sometimes referred to as "Surname, I", so the citations of academics whose Surname and initials are the same may occasionally interfere. This problem is often the case with citation indexes all over the world.
How can I see only citations to my article?
After searching the name of your article, you can see the references to the article you selected as soon as you click on the details section.
 Views 15
Photovoltaic Power Generation Systems and Applications Using Particle Swarm optimization Algorithms
2022
Journal:  
Electrica
Author:  
Abstract:

In order to alleviate the great harm caused by traditional fossil energy to the natural environment, photovoltaic power generation has become a good choice for human available resources. In this article, the photovoltaic array is used as the object of research, and the maximum power point tracking (MPPT) control algorithm of the photovoltaic array is used as the main research line. The photovoltaic array simulation model was simulated using the MATLAB/SIMULINK software to simulate the output characteristics. The following results were obtained. When the illumination intensity is fixed, the particle swarm optimization (POS) algorithm reaches the end condition after 0.015 s, stops the iteration, the photovoltaic array reaches the maximum power point, and the maximum power value found is 10.704 W, which is less than 1 W from the theoretical power value 10 W, with an error of 0.64%; this shows that the MPPT management approach based on the optimization algorithm has a positive effect. In the event of an immediate change in light, the particle optimization algorithm is re-optimized, with an optimization time of only 0.004 s, that is, it reaches the maximum power point and runs stably. This requires approximately 97% less time than the shock observation method and about 75% less time than the method required to increase the variable transmission, and the power curve is an almost smooth straight line. This shows that the PSO algorithm is able to quickly and accurately control the maximum power point in the event of a sudden change in lighting. The method optimized in this article is superior to the method of observing shocks in the case of stable lighting and sudden changes in light intensity also array and relatively high performance as well as high practical value.

Keywords:

2022
Journal:  
Electrica
Author:  
0
2022
Journal:  
Electrica
Author:  
Citation Owners
Information: There is no ciation to this publication.
Similar Articles










Electrica

Journal Type :   Uluslararası

Metrics
Article : 563
Cite : 277
2023 Impact : 0.198
Electrica