Improved Multi-Objective Whale Optimization for Day-Ahead Scheduling of Wind-Photovoltaic-Water-Storage Multi-energy Complements

This study proposes an improved whale optimization algorithm. The algorithm has four improvement strategies: chaotic mapping, nonlinear convergence factor, adaptive crossover strategy and reverse learning strategy. The improved augmented whale algorithm and fast elite genetic algorithm are also comb...

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Veröffentlicht in:	Asia Conference on Power and Electrical Engineering (Online) S. 303 - 307
Hauptverfasser:	Hu, Zhuang, Qian, Yimin, Zheng, Jian, Chen, Qiao, Wang, Yi, Li, Jiahao, Ding, Kai, Li, Xiaoping
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 15.04.2025
Schlagworte:	Chaotic mapping Convergence Day ahead dispatching Dispatching Economics Electrical engineering formatting Genetic algorithms Multi objective optimization Optimization Renewable energy sources Scheduling Whale Optimization Algorithm Whale optimization algorithms
ISSN:	2996-2951
Online-Zugang:	Volltext
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