Comprehensive techno-environmental evaluation of an isolated PV/wind/biomass hybrid microgrid employing various battery technologies: A comparative analysis
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View abstract on PubMed
Summary
This summary is machine-generated.This study optimized off-grid hybrid renewable energy systems using advanced algorithms. The zebra optimization algorithm (ZOA) proved most effective, minimizing costs and ensuring reliable power for remote areas.
Area Of Science
- Renewable Energy Systems
- Optimization Algorithms
- Techno-economic Analysis
Background
- Off-grid areas face energy access and environmental challenges.
- Hybrid renewable energy systems offer a sustainable solution.
- Techno-economic analysis is crucial for optimizing these systems.
Purpose Of The Study
- To perform a techno-economic analysis of an off-grid PV/wind/biomass hybrid system.
- To determine the optimal sizing of system components using optimization algorithms.
- To minimize net present cost (NPC) while ensuring reliable power supply.
Main Methods
- Utilized the Osprey Optimization Algorithm (OOA), Zebra Optimization Algorithm (ZOA), and Flying Foxes Optimization (FFO) algorithm.
- Analyzed data from Tabuk, Saudi Arabia (28.38° N, 36.56° E).
- Evaluated three battery types: flooded lead-acid, lithium iron phosphate (LFP), and nickel iron (Ni-Fe).
Main Results
- The ZOA demonstrated superior performance, achieving electricity at a minimum cost of $0.1285/kWh.
- Lithium iron phosphate (LFP) batteries resulted in the lowest NPC of $3.8M under constrained loss of power supply probability (LPSP).
- ZOA exhibited enhanced stability and convergence in simulations.
Conclusions
- The integrated hybrid system approach improves economic viability and operational resilience for off-grid microgrids.
- Optimization algorithms like ZOA are effective for sizing hybrid renewable energy systems.
- This study highlights the potential for sustainable energy solutions in arid and semi-arid regions.
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