Efficient control and multi‐criteria energy scheduling of renewable‐based utility grid via pareto‐metaheuristic optimizers-Reference-Cited by-同舟云学术

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Efficient control and multi‐criteria energy scheduling of renewable‐based utility grid via pareto‐metaheuristic optimizers

Published:2022-03-17 Issue:6 Volume:16 Page:1246-1266
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Gen

Author:

Ramadan Haitham S.¹²,Iqbal Mehroze³,Becherif Mohamed³,Haes Alhelou Hassan⁴^ORCID

Affiliation:

1. Electrical Power and Machines Department Faculty of Engineering, Zagazig University Zagazig Egypt

2. ISTHY Institut International sur le Stockage de l'Hydrogene Meroux‐Moval France

3. FEMTO‐ST Institute, FCLAB Univ. Bourgogne Franche‐Comté UTBM, CNRS Belfort France

4. Department of Electrical Power Engineering Tishreen University Lattakia Syria

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/rpg2.12444

Reference64 articles.

1. Sizing energy storage to reduce renewable power curtailment considering network power flows: a distributionally robust optimisation approach

2. Particle swarm optimization algorithm for capacitor allocation problem in distribution systems with wind turbine generators

3. A real-time diagnostic tool for evaluating the thermal performance of nearly zero energy buildings

4. Multi-timescale coordinated operation of a CHP plant-wind farm portfolio considering multiple uncertainties

5. Impact of renewable energy sources on modelling of bidding strategy in a competitive electricity market using improved whale optimization algorithm

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