Parasitism-predation optimization algorithm-based energy management system for hybrid electric power system-Reference-Cited by-同舟云学术

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Parasitism-predation optimization algorithm-based energy management system for hybrid electric power system

Published:2024-09 Issue: Volume:83 Page:290-306
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Venkatasatish R.^ORCID,Dhanamjayulu C.^ORCID

Publisher

Elsevier BV

Reference66 articles.

1. Bi-level fuzzy stochastic-robust model for flexibility valorizing of renewable networked microgrids;Norouzi;Sustain. Energy Grids Networks,2022

2. Market clearing price-based energy management of grid-connected renewable energy hubs including flexible sources according to thermal, hydrogen, and compressed air storage systems;Qu;J Energy Storage,2023

3. Recent moth-flame optimizer for enhanced solid oxide fuel cell output power via optimal parameters extraction process;Fathy;Energy,2020

4. Economic energy management of networked flexi-renewable energy hubs according to uncertainty modeling by the unscented transformation method;Zhang;Energy,2023

5. Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy;Pirouzi;IET Gener, Transm Distrib,2023

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