Multi-Objective Hybrid Optimization for Optimal Sizing of a Hybrid Renewable Power System for Home Applications
Md. Arif Hossain,Ashik Ahmed,Shafiqur Rahman Tito,R. Ahshan,Taiyeb Hasan Sakib,Sarvar Hussain Nengroo +5 more
TL;DR: In this article , the authors proposed a hybrid optimization method to assess the optimal energy mix of wind, photovoltaic, and battery for a hybrid system development, considering the hybridization of a Non-dominant Sorting Genetic Algorithm II (NSGA II) and the Grey Wolf Optimizer (GWO).
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Abstract: An optimal energy mix of various renewable energy sources and storage devices is critical for a profitable and reliable hybrid microgrid system. This work proposes a hybrid optimization method to assess the optimal energy mix of wind, photovoltaic, and battery for a hybrid system development. This study considers the hybridization of a Non-dominant Sorting Genetic Algorithm II (NSGA II) and the Grey Wolf Optimizer (GWO). The objective function was formulated to simultaneously minimize the total energy cost and loss of power supply probability. A comparative study among the proposed hybrid optimization method, Non-dominant Sorting Genetic Algorithm II, and multi-objective Particle Swarm Optimization (PSO) was performed to examine the efficiency of the proposed optimization method. The analysis shows that the applied hybrid optimization method performs better than other multi-objective optimization algorithms alone in terms of convergence speed, reaching global minima, lower mean (for minimization objective), and a higher standard deviation. The analysis also reveals that by relaxing the loss of power supply probability from 0% to 4.7%, an additional cost reduction of approximately 12.12% can be achieved. The proposed method can provide improved flexibility to the stakeholders to select the optimum combination of generation mix from the offered solutions.
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Citations
A Comprehensive Review on Techno-Economic Analysis and Optimal Sizing of Hybrid Renewable Energy Sources with Energy Storage Systems
Takele Ferede Agajie,Ahmed Ali,Armand Fopah-Lele,Isaac Amoussou,Baseem Khan,Carmen Lilí Rodríguez Velasco,Emmanuel Tanyi +6 more
TL;DR: In this article , the authors examined hybrid renewable energy power production systems with a focus on energy sustainability, reliability due to irregularities, techno-economic feasibility, and being environmentally friendly, and outlined the best sizing approach that can be used in HRES, taking into consideration the key components, parameters, methods, and data.
Hybrid Renewable Energy Sources: Their Potential to Meet Electricity Demand
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- 02 May 2023
TL;DR: Hybrid renewable energy sources offer a promising solution to meet increasing electricity demand while lowering carbon emissions and improving efficiency.
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Energy Flow Management in a Smart Microgrid Based on Photovoltaic Energy Supplying Multiple Loads
Kanlou Z. Dadjiogou,Ayite Senah Akoda Ajavon,Yao Bokovi +2 more
TL;DR: The use of microgrids based on photovoltaic energy supplying multiple loads in rural areas can contribute to achieving Sustainable Development Goals 7 and 9c. To optimize the operation of these microgrids, an optimization algorithm was used to manage power flow and achieve a low cost of electricity and high renewable factor.
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Optimal sizing of an HRES with probabilistic modeling of uncertainties − a framework for techno-economic analysis
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