Techno-economical optimization based on swarm intelligence algorithm for a stand-alone wind-photovoltaic-hydrogen power system at south-east region of Mexico

Sánchez, V.; Chávez-Ramírez, A.U.; Durón-Torres, Sergio M.; Hernández, J.; Arriaga, L.G.; Ramı́rez, Juan M.

doi:10.1016/j.ijhydene.2014.06.034

Cited by 77 publications

(25 citation statements)

References 20 publications

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“…In this analysis, it should be noted that the replacement inverter cost is assumed the same as original inverter cost. However, the cost of inverter have been decreasing recently due to improving in power semi-conductors and new circuit topologies [29]. Therefore, it is expected that the impact of inverter replacement cost (as a result of reduction in future cost of the inverter) will likely less than as presented in this Figure. …”

Section: Array Losses System Lossesmentioning

confidence: 92%

Techno-economic analysis of a 2.1 kW rooftop photovoltaic-grid-tied system based on actual performance

Adaramola

2015

Energy Conversion and Management

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Section: Array Losses System Lossesmentioning

confidence: 92%

Techno-economic analysis of a 2.1 kW rooftop photovoltaic-grid-tied system based on actual performance

Adaramola

2015

Energy Conversion and Management

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“…This combination is referred to as hybrid techniques. Examples of such techniques are SA-Tabu search; Monte Carlo simulation (MCS)-PSO; hybrid iterative/GA; MODO (multiobjective design optimization)/GA; artificial neural fuzzy interface system (ANFIS); artificial neural network/GA/MCS; PSO/DE (differential evolution); evolutionary algorithms and simulation optimization-MCS which have been used in several studies for optimizing HRESs [38][39][40][41][42][43][44][45][46][47]. Although hybrid techniques enhance the overall performance of the optimization, they may suffer from some limitations.…”

Section: Hybrid Techniquesmentioning

confidence: 99%

Optimizing Hybrid Renewable Energy Systems: A Review

Ghofrani¹,

Hosseini²

2016

Sustainable Energy - Technological Issues, Applications and Case Studies

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With the fast progression of renewable energy markets, the importance of combining different sources of power into a hybrid renewable energy system (HRES) has gained more attraction. These hybrid systems can overcome limitations of the individual generating technologies in terms of their fuel efficiency, economics, reliability and flexibility. One of the main concerns is the stochastic nature of photovoltaic (PV) and wind energy resources. Wind is often not correlated with load patterns and may be discarded sometimes when abundantly available. Also, solar energy is only available during the day time. A hybrid energy system consisting of energy storage, renewable and nonrenewable generation can alleviate the issues associated with renewable uncertainties and fluctuations. Large number of random variables and parameters in a hybrid energy system requires an optimization that most efficiently sizes the hybrid system components to realize the economic, technical and designing objectives. This chapter provides an overview of optimal sizing and optimization algorithms for hybrid renewable energy systems as well as different objective functions considered for designing such systems.

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“…Many literature studies have examined and proposed optimal designs of integrating different combinations of solar, wind, and fuel cells in cogeneration, trigeneration, and multi‐generation systems . These systems include different sources and subsystems, for instance, solar‐driven cogeneration with battery storage in References and , wind‐driven cogeneration with battery in Reference , wind‐driven cogeneration with hydrogen storage in Reference , solar energy‐driven hydrogen cogeneration in Reference , combined solar and wind energy‐based trigeneration with battery storage in References and , solar energy‐based cogeneration system with hydrogen storage in References and , wind‐driven hydrogen production in Reference , combined solar and wind‐based trigeneration system having hydrogen production in References and , solar‐based hydrogen and ammonia trigeneration system in Reference , and solar and wind energy‐driven multi‐generation system having battery and hydrogen storage …”

Section: Introductionmentioning

confidence: 99%

Assessment of a stand‐alone hybrid solar and wind energy‐based electric vehicle charging station with battery, hydrogen, and ammonia energy storages

Wahedi

Biçer

2019

Energy Storage

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Since the main objective of expanding the deployment of electric vehicle (EV) usage is to reduce the dependency on carbon‐based fuels, it is essential to consider eco‐friendly and renewable sources to generate the power needed for charging those vehicles. This study suggests and analyzes a stand‐alone solar and wind energy‐driven integrated system with electro/chemical energy storage to provide independent and uninterruptable power supply for EV charging stations. Due to the intermittent nature of the utilized renewable energy sources, energy storage is a key concern to be considered in this study. Therefore, in addition to batteries, hydrogen and ammonia are considered as energy storage media, which can be converted into electricity through fuel cells on demand. The results show that with selected commercialized photovoltaic power plant covering an area of about 1500 m2, a 250 kW rated wind turbine, 650 kWh Li‐ion storage batteries, 30 m3 storage of H2 in gas form, and 5 m3 storage of NH3 in liquid form, a grid‐independent charging station sufficient for fast charging of 50 number of EVs per day can be achieved. Additional suggestions are proposed to better manage the energy storage within the charging stations based on short‐term and long‐term operations.

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Techno-economical optimization based on swarm intelligence algorithm for a stand-alone wind-photovoltaic-hydrogen power system at south-east region of Mexico

Cited by 77 publications

References 20 publications

Techno-economic analysis of a 2.1 kW rooftop photovoltaic-grid-tied system based on actual performance

Techno-economic analysis of a 2.1 kW rooftop photovoltaic-grid-tied system based on actual performance

Optimizing Hybrid Renewable Energy Systems: A Review

Assessment of a stand‐alone hybrid solar and wind energy‐based electric vehicle charging station with battery, hydrogen, and ammonia energy storages

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