Optimal Design of a Grid-Independent Solar-Fuel Cell-Biomass Energy System Using an Enhanced Salp Swarm Algorithm Considering Rule-Based Energy Management Strategy
This paper presented an optimal design of a grid-independent hybrid renewable energy system (HRES) that comprises Photovoltaic, Biomass, Hydrogen Fuel Cell, and battery storage. Renewable energy-based system have been endorsed for remote off-grid communities electrification. However, it is difficult...
Main Authors: | Babangida Modu, Md. Pauzi Bin Abdullah, Abdulrahman Alkassem, Hassan Z. Al Garni, Mishaal Alkabi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10419350/ |
Similar Items
-
Modified Salp Swarm Optimization for Parameter Estimation of Solar PV Models
by: Mokhtar Yaghoubi, et al.
Published: (2022-01-01) -
Energy management and capacity planning of photovoltaic-wind-biomass energy system considering hydrogen-battery storage.
by: Modu, Babangida, et al.
Published: (2023) -
Supervised machine learning-based salp swarm algorithm for fault diagnosis of photovoltaic systems
by: Amal Hichri, et al.
Published: (2024-01-01) -
Salp Swarm Optimization Algorithm for Estimating the Parameters of Photovoltaic Panels Based on the Three-Diode Model
by: Jhon Montano, et al.
Published: (2021-12-01) -
Short-Term Photovoltaic Power Forecasting Using a Convolutional Neural Network–Salp Swarm Algorithm
by: Happy Aprillia, et al.
Published: (2020-04-01)