Multi-objective optimization and the effect of the economic factors on the design of the microgrid hybrid system-Reference-Cited by-同舟云学术

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Multi-objective optimization and the effect of the economic factors on the design of the microgrid hybrid system

Published:2021-02 Issue: Volume:65 Page:102646
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Kharrich Mohammed,Mohammed Omar Hazem^ORCID,Alshammari Nahar,Akherraz Mohammed

Publisher

Elsevier BV

Reference40 articles.

1. Optimum unit sizing of hybrid renewable energy system utilizing harmony search, Jaya and particle swarm optimization algorithms;Alshammari;Sustainable Cities and Society,2020

2. Optimization design and economic analysis of energy management strategy based on photovoltaic/energy storage for heterogeneous cellular networks using the HOMER model;Alsharif;Solar Energy,2017

3. A discrete chaotic harmony search-based simulated annealing algorithm for optimum design of PV/wind hybrid system;Askarzadeh;Solar Energy,2013

4. Multi-objective optimization of grid-connected PV-wind hybrid system considering reliability, cost, and environmental aspects;Barakat;Sustainable Cities and Society,2020

5. Design optimisation for a hybrid renewable microgrid: Application to the case of Faial island, Azores archipelago;Barbaro;Renewable Energy,2020

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4. Unlocking the potential of redundant energy from solar photovoltaic systems: Navigating global research trends, innovations, and future directions;Energy Reports;2025-06

5. Hybrid Photovoltaic-wind Power Systems for Renewable Energy Microgrid Applications: A review;IOP Conference Series: Earth and Environmental Science;2025-06-01

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