Optimization of a wind-power fuel-cell hybrid system in an autonomous electrical network environment

Kasseris, Emmanuel; Samaras, Zissis; Zafeiris, Dimitrios

doi:10.1016/j.renene.2005.12.011

Cited by 46 publications

(18 citation statements)

References 17 publications

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“…In [9], the optimization of a wind/fuel cell hybrid system is presented in an autonomous power grid on an island in the Aegean archipelago. This system had already been designed by other authors with the aim of increasing wind penetration on the island.…”

Section: Analysis Of the Current Methods Used To Size The Wind/hydrogmentioning

confidence: 99%

Analysis of the current methods used to size a wind/hydrogen/fuel cell-integrated system: A new perspective

Geovanni¹,

Orlando²,

Rafael³

et al. 2009

Int. J. Energy Res.

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SUMMARYAs an alternative to the production and storage of intermittent renewable energy sources, it has been suggested that one can combine several renewable energy technologies in one system, known as integrated or hybrid system, that integrate wind technology with hydrogen production unit and fuel cells. This work assesses the various methods used in sizing such systems. Most of the published papers relate the use of simulation tools such as HOMER, HYBRID2 and TRNSYS, to simulate the operation of different configurations for a given application in order to select the best economic option. But, with these methods one may not accurately determine certain characteristics of the energy resources available on a particular site, the profiles of estimated consumption and the demand for hydrogen, among other factors, which will be the optimal parameters of each subsystem. For example, velocity design, power required for the wind turbine, power required for the fuel cell and electrolyzer and the storage capacity needed for the system. Moreover, usually one makes excessive use of bi-parametric Weibull distribution function to approximate the histogram of the observed wind to the theoretical, which is not appropriate when there are bimodal frequency distributions of wind, as is the case in several places in the world. A new perspective is addressed in this paper, based on general system theory, modeling and simulation with a systematic approach and the use of exergoeconomic analysis. There are some general ideas on the advantages offered in this method, which is meant for the implementation of wind/ hydrogen/fuel cell-integrated systems and in-situ clean hydrogen production.

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Section: Analysis Of the Current Methods Used To Size The Wind/hydrogmentioning

confidence: 99%

Analysis of the current methods used to size a wind/hydrogen/fuel cell-integrated system: A new perspective

Geovanni¹,

Orlando²,

Rafael³

et al. 2009

Int. J. Energy Res.

View full text Add to dashboard Cite

show abstract

“…Let consider a wind power generation system connected in parallel arrangement as fig 4. The system contains one solar station and two gas power units with different performance and reliability [32]; [33]; [34]; [35]; [36]. The reliability of each element is defined by Weibull function: [37]; [38]; [39].…”

Section: A the Gsa Overviewmentioning

confidence: 99%

Preventive maintenance optimization in hybrid solar gas power system using gravitational search algorithm

Meziane

Boufala

Hamzi

et al. 2015

2015 3rd International Renewable and Sustainable Energy Conference (IRSEC)

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This paper addresses a Gravitational Search metaheureustic optimization method to solve a preventive maintenance (PM) problem for hybrid solar gas power system. In this work, we consider the situation where system and its components have several ranges of performance levels. Such systems are called multi-state systems (MSS). To enhance system availability or (reliability), possible schedule preventive maintenance actions are performed to equipment's and affect strongly the effective age. The objective is to develop an algorithm to generate an optimal sequence of maintenance actions providing system working with the desired level of availability or reliability during its lifetime with minimal maintenance cost rate. To evaluate the multi-state system availability, a fast method on the universal moment generating function (UMGF) is suggested. The Gravitational search approach as an optimization technique and adapted to this PM optimization problem.

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“…The time for possible PM actions Are spaced intervals of = 1.5 month. The problem is to guarantee a PM plan which provide the system work during its lifetime with a performance not less than  0 [35]; [36]; [37] if the reliability not less than R 0 and the age reduction is the same of all units =0.56 In this paper we formulated the problem of imperfect maintenance optimization for wind gas power system generation. In this work we focused on selecting the optimal sequence of intervals to perform PM actions to improve the availability.…”

Section: B the Cuckoo Search Algorithmmentioning

confidence: 99%

Preventive maintenance optimization in hybrid wind gas power system using Cuckoo search algorithm

Boufala

Hamzi

Meziane

et al. 2015

2015 3rd International Renewable and Sustainable Energy Conference (IRSEC)

View full text Add to dashboard Cite

This paper addresses a Cuckoo Search metaheureustic optimization method to solve a preventive maintenance (PM) problem for hybrid wind gas power system. In this work, we consider the situation where system and its components have several ranges of performance levels. Such systems are called multi-state systems (MSS). To enhance system availability or (reliability), possible schedule preventive maintenance actions are performed to equipment's and affect strongly the effective age. The objective is to develop an algorithm to generate an optimal sequence of maintenance actions providing system working with the desired level of availability or (reliability during its lifetime with minimal maintenance cost rate. To evaluate the multi-state system availability, a fast method on the universal moment generating function (UMGF) is suggested. The Cuckoo search approach as an optimization technique and adapted to this PM optimization problem.

show abstract

Optimization of a wind-power fuel-cell hybrid system in an autonomous electrical network environment

Cited by 46 publications

References 17 publications

Analysis of the current methods used to size a wind/hydrogen/fuel cell-integrated system: A new perspective

Analysis of the current methods used to size a wind/hydrogen/fuel cell-integrated system: A new perspective

Preventive maintenance optimization in hybrid solar gas power system using gravitational search algorithm

Preventive maintenance optimization in hybrid wind gas power system using Cuckoo search algorithm

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