A modified multi-objective particle swarm optimization (M-MOPSO) for optimal sizing of a solar–wind–battery hybrid renewable energy system-Reference-Cited by-同舟云学术

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A modified multi-objective particle swarm optimization (M-MOPSO) for optimal sizing of a solar–wind–battery hybrid renewable energy system

Published:2024-12 Issue: Volume:12 Page:100082
ISSN:2772-9400
Container-title:Solar Compass
language:en
Short-container-title:Solar Compass

Author:

Nkalo Ukoima Kelvin^ORCID,Inya Okoro Ogbonnaya,Ifeanyi Obi, Patrick,Bola Akuru Udochukwu,Ewean Davidson Innocent

Publisher

Elsevier BV

Reference21 articles.

1. Adaptive multi-objective particle swarm optimization using three-stage strategy with decomposition;Huang;Soft Comput.,2021

2. Improved multi-objective particle swarm optimization algorithm for optimizing watermark strength in color image watermarking;Saxena;Appl. Intell.,2017

3. Multi-objective particle swarm optimization with random immigrants;Ünal;Comp. Intell. Syst.,2020

4. Multi-objective optimization of a hydrogen-battery hybrid storage system for offshore wind farm using MOPSO;Tian;J. Electric. Eng. Technol.,2023

5. Constraint multi-objective optimal design of hybrid renewable energy system considering load characteristics;Chen;Comp. Intell. Syst.,2021

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