Multi-area load frequency regulation of a stochastic renewable energy-based power system with SMES using enhanced-WOA-tuned PID controller

This paper presents a novel nature-inspired meta-heuristic optimization algorithm known as the Enhanced Whale Optimization Algorithm (EWOA), which imitates humpback whales' social behavior to solve the optimization of multi-area automatic load frequency control (LFC) problems of a stochastic re...

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Vydáno v:	Heliyon Ročník 9; číslo 9; s. e19199
Hlavní autoři:	Gbadega, Peter Anuoluwapo, Sun, Yanxia
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.09.2023 Elsevier
Témata:	algorithms Automatic generation control energy Enhanced whale optimization algorithm magnetism Multi-source power generation Proportional-integral-derivative (PID) controller Renewable energy sources social behavior Superconducting magnetic energy storage (SMES) Superconducting magnetic energy storage (SMES) Renewable energy sources Multi-source power generation Proportional-integral-derivative (PID) controller Enhanced whale optimization algorithm Automatic generation control
ISSN:	2405-8440, 2405-8440
On-line přístup:	Získat plný text
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