اخبار و اعلانات
آمار
| تعداد نشریات | 25 |
| تعداد شماره‌ها | 454 |
| تعداد مقالات | 4,631 |
| تعداد مشاهده مقاله | 7,018,991 |
| تعداد دریافت فایل اصل مقاله | 4,695,900 |
Application of improved salp swarm algorithm based on MPPT for PV systems under partial shading conditions | ||
| 𝕴𝖓𝖙𝖊𝖗𝖓𝖆𝖙𝖎𝖔𝖓𝖆𝖑 𝕵𝖔𝖚𝖗𝖓𝖆𝖑 𝖔𝖋 𝕴𝖓𝖉𝖚𝖘𝖙𝖗𝖎𝖆𝖑 𝕰𝖑𝖊𝖈𝖙𝖗𝖔𝖓𝖎𝖈𝖘, 𝕮𝖔𝖓𝖙𝖗𝖔𝖑 𝖆𝖓𝖉 𝕺𝖕𝖙𝖎𝖒𝖎𝖟𝖆𝖙𝖎𝖔𝖓 | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 03 مرداد 1399 اصل مقاله (2 MB) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22111/ieco.2020.31320.1200 | ||
| نویسندگان | ||
Javad Farzaneh1؛ Ali Karsaz  2
| ||
| 1Electrical and Computer Engineering Faculty, Semnan University, Semnan, Iran | ||
| 2Khorasan Istitute of Higher Education | ||
| چکیده | ||
| Maximum Power Point Tracking (MPPT) is an important concept for both uniform solar irradiance and Partial Shading Conditions (PSCs). The paper presents an Improved Salp Swarm Algorithm (ISSA) for MPPT under PSCs. The proposed method benefits a fast convergence speed in tracking the Maximum Power Point (MPP), in addition to overcoming the problems of conventional MPPT methods, such as failure to detect the Global MPP (GMPP) under PSCs, getting trapped in the local optima, and oscillations around the MPP. The proposed method is compared with original algorithms such as Perturbation and Observation (P&O) method (which is widely employed in MPPT applications), Differential Evolutionary (DE) algorithm, Particle Swarm Optimization (PSO), and Firefly Algorithm (FA). The obtained results show that the proposed method can detect and track the MPP in a very short time, and its accuracy outperforms the other methods in terms of detecting the GMPP. The proposed ISSA algorithm has a higher speed and the convergence rate than the other traditional algorithms. | ||
| کلیدواژه‌ها | ||
| Photovoltaic systems؛ Maximum power point tracking؛ Improved Salp swarm algorithm؛ Partial shading condition | ||
|
آمار تعداد مشاهده مقاله: 8 تعداد دریافت فایل اصل مقاله: 26 |
||
