English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The increasing use of fossil fuels to produce energy is leading toenvironmental problems. Hence, it has led the human society to move towards theuse of renewable energies, including solar energy. In recent years, one of themost popular methods to gain energy is using photovoltaic arrays to producesolar energy. Skyscrapers and different weather conditions cause shadings onthese PV arrays, which leads to less power generation. Various methods such asTCT and Sudoku patterns have been proposed to improve power generation forpartial shading PV arrays, but these methods have some problems such as notgenerating maximum power and being designed for a specific dimension of PVarrays. Therefore, we proposed a metaheuristic algorithm-based approach toextract maximum possible power in the shortest possible time. In this paper,five algorithms which have proper results in most of the searching problems arechosen from different groups of metaheuristic algorithms. Also, four differentstandard shading patterns are used for more realistic analysis. Results showthat the proposed method achieves better results in maximum power generationcompared to TCT arrangement (18.53%) and Sudoku arrangement (4.93%). Also, theresults show that GWO is the fastest metaheuristic algorithm to reach maximumoutput power in PV arrays under partial shading condition. Thus, the authorsbelieve that by using metaheuristic algorithms, an efficient, reliable, andfast solution is reached to solve partial shading PV arrays problem

A proposed method to extract maximum possible power in the shortest time on solar PV arrays under partial shadings using metaheuristic algorithms