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...

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Veröffentlicht in:	International transactions on electrical energy systems Jg. 31; H. 11
Hauptverfasser:	Majumdar, Kingsuk, Roy, Provas Kumar, Banerjee, Subrata
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken John Wiley & Sons, Inc 01.11.2021
Schlagworte:	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
Online-Zugang:	Volltext
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