A Novel Prairie Dog-Based Meta-Heuristic Optimization Algorithm for Improved Control, Better Transient Response, and Power Quality Enhancement of Hybrid Microgrids

The growing demand for electricity driven by population growth and industrialization is met by integrating hybrid renewable energy sources (HRESs) into the grid. HRES integration improves reliability, reduces losses, and addresses power quality issues for safe and effective microgrid (MG) operation,...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 23; číslo 13; s. 5973
Hlavní autoři:	Sahoo, Gagan Kumar, Choudhury, Subhashree, Rathore, Rajkumar Singh, Bajaj, Mohit
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 27.06.2023 MDPI
Témata:	Algorithms Alternative energy sources Analysis Batteries battery Efficiency Energy resources Energy storage Fossil fuels fuel cell Fuel cell industry Fuel cells hybrid renewable energy sources Mathematical optimization Neural networks Optimization algorithms Optimization techniques photovoltaics power quality Prairie dogs proportional integral (PI) Renewable resources bee colony optimization fuel cell power quality thermal exchange optimization battery hybrid renewable energy sources photovoltaics proportional integral (PI)
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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