Implementation of multi‐objective chaotic mayfly optimisation for hydro‐thermal‐ solar‐wind scheduling based on available transfer capability problem

Summary The electrical power generation from conventional thermal power plants needs to be interconnected with natural resources like solar, wind, hydro units with all‐day planning, and operation strategies to save mother nature and meet the current electricity demand. The complexity and size of the...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	International transactions on electrical energy systems Ročník 31; číslo 11
Hlavní autori:	Majumdar, Kingsuk, Roy, Provas Kumar, Banerjee, Subrata
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken John Wiley & Sons, Inc 01.11.2021
Predmet:	Algorithms available transfer capability (ATC) chaotic mayfly algorithm (C‐MAP) Cost function Electric power Electric power demand Electric power generation Evolutionary algorithms Grey wolf optimiser (GWO) hydro‐thermal‐solar‐wind scheduling (HTSW) mayfly algorithm (MA) Natural resources Objective function Optimization optimum power flow (OPF) particle swarm optimisation (PSO) Power flow Power transfer Scheduling Thermal power Thermal power plants Thermoelectricity Wind
ISSN:	2050-7038, 2050-7038
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!