Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage

Dufo-López, Rodolfo; Bernal-Agustín, José L.; Contreras, Javier

doi:10.1016/j.renene.2006.04.013

Cited by 341 publications

(151 citation statements)

References 20 publications

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“…(9), C P W om , denotes the operation and maintenance (O&M) cost of the components and can be expressed as in Eq. (12).…”

Section: The Cost Objective Functionmentioning

confidence: 99%

“…In [11], a real-time PSO-based optimal operation strategy for a HES without considering a unit-sizing scheme was presented. The authors in [12,13] used the genetic algorithm to optimize the component size and control strategy of the HES. However, the impact of the load growth in the design and operation of the HES was neglected in their studies.…”

Section: Introductionmentioning

confidence: 99%

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A particle swarm optimization-based approach to achieve optimal design and operation strategy of standalone hybrid energy systems

Ghazvini¹,

Abbaspour-Tehrani-fard²,

Fotuhi‐Firuzabad³

2015

Turk J Elec Eng & Comp Sci

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Abstract:As a cost-effective and reliable alternative to supply remote areas, standalone hybrid energy systems (HESs) are recently under investigation to address various concerns associated with technical, financial, and environmental issues. This paper presents a comprehensive algorithm that can simultaneously optimize the component size, operation strategy, and slope of the photovoltaic panels of a standalone HES using an improved variant of particle swarm optimization (PSO), designated as the passive congregation PSO. A new operation strategy is proposed based on the set points of the control system. The optimization algorithm determines the optimal values of the set points to efficiently optimize the HES operation. The applicability and effectiveness of the proposed method are investigated through some numerical analyses performed on a practical remote area in Iran. In doing so, the proposed method is applied to various HES configurations and the results are compared with those obtained using the existing methods. Several load growth and wind speed scenarios are considered, and their impacts on the optimization results are examined.

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“…(9), C P W om , denotes the operation and maintenance (O&M) cost of the components and can be expressed as in Eq. (12).…”

Section: The Cost Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A particle swarm optimization-based approach to achieve optimal design and operation strategy of standalone hybrid energy systems

Ghazvini¹,

Abbaspour-Tehrani-fard²,

Fotuhi‐Firuzabad³

2015

Turk J Elec Eng & Comp Sci

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show abstract

“…A dedicated controller with suitable control strategy is required to accomplish the above tasks. Several literatures are reported on control of hybrid energy system [14][15][16][17][18][19].…”

Section: Isrn Renewable Energymentioning

confidence: 99%

“…A novel strategy, optimized by genetic algorithms, to control stand-alone hybrid renewable electrical systems with hydrogen storage, is presented [19]. Rural areas produce enough biomass and agricultural residues so that all their electricity demands can be met by using biomass gasifier-based power plants.…”

Section: Isrn Renewable Energymentioning

confidence: 99%

Optimal Operation of Biomass Gasifier Based Hybrid Energy System

Balamurugan¹,

Kumaravel

Ashok

2011

ISRN Renewable Energy

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The focus of the world on renewable energy sources is growing rapidly due to its availability and environment friendliness. However, the renewable energy influenced by natural conditions is being intermittent, it is difficult to accomplish stable energy supply only by one kind of renewable energy source. In order to achieve reliability, it is necessary to integrate two or more energy sources together in an optimal way as hybrid energy system. Optimal allocation of sources, unpredictable load demand, intermittent behaviors of sources, and charging and discharging of storage devices are the major challenges in operating a hybrid energy system. A new controller algorithm is developed and implemented in controller hardware to overcome the above issues. The controller is incorporated in biomass gasifier-based hybrid energy system in a university campus at south India. A case study is carried out in real-time at the site for a typical day. From the experimentation, it is estimated that the annual savings in the operating cost are Rs 375,459.00 ($8475.4) for the optimal allocation of the sources by the controller.

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“…Jose et al [7] conducted a design study of hybrid system for minimizing costs and pollutants emissions. Lopez et al [8] performed optimization of control strategies for stand-alone renewable energy system with hydrogen storage, wherein the relevant strategy developed is explained and its application to a PV-dieselbattery-hydrogen system is demonstrated. Chun et al [9] investigated the scenario of Thailand where they examined the capital cost, net present cost and cost of energy for different types of hybrid systems.…”

Section: Introductionmentioning

confidence: 99%

Optimum Scheduling of Isolated Hybrid Renewable Energy System - A Case Study using HOMER

Saraswat¹,

Sathans²

2017

J Environ Anal Toxicol

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Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage

Cited by 341 publications

References 20 publications

A particle swarm optimization-based approach to achieve optimal design and operation strategy of standalone hybrid energy systems

A particle swarm optimization-based approach to achieve optimal design and operation strategy of standalone hybrid energy systems

Optimal Operation of Biomass Gasifier Based Hybrid Energy System

Optimum Scheduling of Isolated Hybrid Renewable Energy System - A Case Study using HOMER

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