Optimal sizing of PV/WT/CSP/TES/HFC-based hybrid renewable energy systems
Date
2023-04-30
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Electrical and Elecrtonics Engineering(EEE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh
Abstract
In recent times continuous increases in fuel prices and greenhouse gas emissions have demanded
the transition to a 100% renewable energy system. However, with the increase of renewable
sources requirement for battery storage systems also increases. Battery storage is making hybrid
systems expensive and increasing their carbon footprint. One another hindrance to using solar
power is their low reliability in large-scale use. This study aims to explore and analyze the optimal
sizing techniques for a system consisting of photovoltaic (PV), wind turbines (WT), concentrated
solar power (CSP), thermal energy storage (TES), and hydrogen fuel cells (HFC) in order to
achieve efficient, reliable, and cost-effective designs of hybrid renewable energy systems. The
primary objective of optimal sizing is to balance the energy supply and demand while considering
the availability and intermittency of renewable energy resources. This involves a thorough analysis
of the potential energy generation from PV, WT, and CSP systems. In this study, loss of power
supply probability (LPSP) is used for ensuring power supply and a new index DLP is proposed to
minimize the dump load requirement. To achieve optimal sizing, modeling and simulation
techniques are employed in the MATLAB platform. This study uses one of the most popular
metaheuristic optimization technique PSO (particle swarm optimization) and compares the result
with two recently proposed optimization algorithm, Pelican optimization algorithm and the
Dandelion optimization algorithm. The study shows Dandelion optimization algorithm gives the
best result for PV/WT/CSP/TES/HFC configuration. In conclusion the integration of PV, WT,
CSP, TES, and HFC technologies in hybrid systems presents a promising pathway toward
achieving a cleaner, efficient and more sustainable energy future
Description
Supervised by
Prof. Dr. Ashik Ahmed,
Department of Electrical and Electronics Engineering (EEE)
Islamic University of Technology (IUT)
Board Bazar, Gazipur-1704, Bangladesh
Keywords
Citation
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