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Improved techno-economic optimization of hybrid solar/wind/fuel cell/diesel systems with hydrogen energy storage
https://doi.org/10.15518/isjaee.2024.03.133-167
Abstract
In spite of concerns about pollution and high operational costs, diesel engines continue to dominate local electricity generation in off-grid areas. However, there is significant untapped potential worldwide for utilizing local renewable energy sources (RES) instead of fossil fuel generation, particularly in remote regions. To address the intermittent nature of RES, energy storage systems are crucial for off-grid communities, enabling them to rely on locally collected renewable energy. This study explores various off-grid renewable power system configurations, including batteries and hydrogen as energy storage options, to determine the most economically viable setup for remote areas. The analysis includes the Nickel-Iron (Ni-Fe) battery and considers electrolysis technology for hydrogen production. Two Integrated Hybrid Renewable Energy System (IHRES) configurations are modeled and evaluated: PV/Diesel Generator (DG)/Battery (Ni-Fe) and PV/Wind Turbines (WT)/DG/Hydrogen Storage System (HSS). The study employs a cycle charging (CC) strategy. A novel optimization algorithm called Quadratic interpolation-based artificial rabbits optimization (QIARO) is introduced to optimize the sizing of system components, ensuring cost-effective and reliable fulfillment of load demands. The effectiveness of the QIARO algorithm is initially validated through a comprehensive performance assessment, comparing it with the original artificial rabbits optimization (ARO) algorithm and other established optimization techniques across 7 benchmark functions. The results demonstrate that the QIARO algorithm surpasses the ARO algorithm, as well as other optimization techniques such as beluga whale optimization (BWO), pelican optimization algorithm (POA), weighted mean of vectors (INFO), and RUN ge Kutta optimizer (RUN), in terms of convergence speed and solution quality. After validation, the proposed algorithm is applied to the Baris Oasis in New Valley, Egypt, chosen as a representative case study of insular microgrid environments. The resulting outcomes are compared with those obtained using the original ARO algorithm, further highlighting the effectiveness of the proposed approach. Using the QIARO algorithm, the PV/DG/Battery (Ni-Fe) configuration and PV/WT/DG/HSS configuration achieve optimal Life Cycle Cost values of 645,271 USD and 1,852,421 USD, respectively.
About the Authors
Mohamed H. Hassan
Ministry of Electricity and Renewable Energy
Egypt
Egypt
Mohamed H. Hassan - engineer
Egypt, Cairo, Ramsis St. Abbassia
Salah Kamel
Aswan University
Egypt
Egypt
Salah Kamel - currently an Associate Professor with the Department
of Electrical Engineering, Advanced Power Systems Research Laboratory (APSR Lab), Power Systems Research Group
81542, Aswan, Egypt
M. Kh. Safaraliev
Ural Federal University
Russian Federation
Russian Federation
Murodbek Safaraliev - PhD, Senior Researcher, Department of «Automated Electrical Systems»
620002, Yekaterinburg
tel: +7 (950) 5644967
S. E. Kokin
Ural Federal University
Russian Federation
Russian Federation
Sergey Kokin - doctor tech. sciences, Professor of the Department of «Automated Electrical Systems»
620002, Yekaterinburg
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For citations:
Hassan M.H., Kamel S., Safaraliev M.Kh., Kokin S.E. Improved techno-economic optimization of hybrid solar/wind/fuel cell/diesel systems with hydrogen energy storage. Alternative Energy and Ecology (ISJAEE). 2024;(3):133-167. https://doi.org/10.15518/isjaee.2024.03.133-167
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