Signal synthesis by means of evolutionary algorithms

Jaafar, Amine; Sareni, Bruno; Roboam, Xavier

doi:10.1080/17415977.2011.624619

Cited by 7 publications

(10 citation statements)

References 8 publications

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“…Note that this synthesis approach is very generic, which can exceed the particular field of wind turbines design to be applied in the whole range electrical engineering applications and even beyond, by processing any types of environmental variables (wind speed but also temperature, sun irradiation, etc.) or for example of railway driving profiles as proposed in [23].…”

Section: Resultsmentioning

confidence: 99%

“…The synthesis process of compact wind profiles is based on the approach developed in [23] for railway driving missions. It consists in generating a fictitious profile of any environmental variable (e.g.…”

Section: Principlementioning

confidence: 99%

“…In addition to the choice of the parameters of each pattern, the EA is encoded so that the number of segments (N m ) can be itself optimised through a self-adaptive procedure. [23] Indeed, contrary to the classical chromosome encoding strategies which encods the same number of patterns for all individuals in the population (Figure 9(a)), a second strategy allowing the parallel investigation of signal configurations with distinct number of patterns is proposed (Figure 9(b)). It consists in encoding in the chromosome an additional gene representing the number of patterns.…”

Section: Principlementioning

confidence: 99%

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Synthesis of compact wind profiles using evolutionary algorithms

Jaafar

Belouda²,

Sareni

et al. 2013

Inverse Problems in Science and Engineering

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In this paper, the authors face the problem of wind speed processing as environmental variable of a wind turbine system. Generally, the information on wind speed measurements is processed over long periods of time to be relevant with respect to the site characteristics (average and maximum speeds, statistics). Subsequent large scale profiles of wind speed lead to long processing time for simulation analysis and especially for optimization design that penalises the search of optimal solutions. An original synthesis approach of a compact and representative wind speed profile using an Evolutionary Algorithm (EA) is proposed. This approach is compared to a purely statistical approach based on random number generators. It allows reducing the actual wind profile duration with compression ratios greater (two months of wind speed measurements are compressed in only 1 h). Then, the synthesis approach by EA is applied to the sizing of an autonomous hybrid system based on wind turbine with battery storage for stand-alone energy systems. It has proven its effectiveness in reducing 200 days of wind speed measurements in only 10 days, allowing sizing the storage system with a significant gain in terms of computing time in the framework of the optimization process.

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Section: Resultsmentioning

confidence: 99%

Section: Principlementioning

confidence: 99%

Section: Principlementioning

confidence: 99%

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Synthesis of compact wind profiles using evolutionary algorithms

Jaafar

Belouda²,

Sareni

et al. 2013

Inverse Problems in Science and Engineering

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“…In order to face this problem, two other methodologies are investigated for reducing environmental data profile durations while keeping their feature trace in terms of variability, intensity, and statistics. These approaches are based on the original approach proposed in [13]. This latter approach is adapted for compacting wind speed profiles.…”

Section: Introductionmentioning

confidence: 99%

New Design Methodologies for Sizing Electrochemical Storage in Renewable Energy Systems (Case Study: Wind Turbine System)

Belouda¹

2019

Energy Storage Devices

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This chapter presents four original methodologies for sizing electrochemical storage devices in renewable energy systems. The case study is taken to apply these methodologies on an electrochemical storage device (a battery bank) inside a wind turbine system. The storage device acts together with wind cycles and consumption profile, particularly for a remote application. In general, in a context of optimal design for such systems, the optimization process time (long processing time) is hampered by the wide number of system simulations caused by the long duration of the actual wind speed measurements used as input data for the problem. Two sizing methodologies are based on a statistical approach, and the two other methodologies are based on the synthesis of compact wind speed profiles by means of evolutionary algorithms. The results are discussed from the point of view of the relevance of the battery bank sizing and in terms of computation cost, this later issue being crucial in view of an integrated optimal design (IOD) process.

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“…This can be done using evolutionary algorithms and, particularly, with the clearing method [33], which is well suited to treat this kind of problem with high dimensionality and high multimodality. It should be also noted that the number N of segments is optimized through a self-adaptive procedure [34]. The profile synthesis by an optimization process is given in Fig.…”

Section: A Principlementioning

confidence: 99%

A Systemic Approach Integrating Driving Cycles for the Design of Hybrid Locomotives

Jaafar

Sareni

Roboam

2013

IEEE Trans. Veh. Technol.

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 9802Any correspondance concerning this service should be sent to the repository administrator: staff-oatao@listes-diff.inp-toulouse.fr A Systemic Approach Integrating Driving Cycles for the Design of Hybrid LocomotivesAmine Jaafar, Bruno Sareni, and Xavier Roboam Abstract-Driving cycles are essential in hybrid locomotive design by conditioning their size and performance. This paper introduces a new systemic approach to hybrid locomotive design, taking real-world driving cycles into account. The proposed approach first exploits clustering analysis with the aim of identifying classes corresponding to particular sets of driving cycles. Then, a synthesis process of a reduced and representative profile from each class of driving cycles is presented. Both approaches are applied to the integrated optimal design of an autonomous hybrid (Diesel-electric) locomotive devoted to shunting and switching operations in nonelectrified areas.

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Signal synthesis by means of evolutionary algorithms

Cited by 7 publications

References 8 publications

Synthesis of compact wind profiles using evolutionary algorithms

Synthesis of compact wind profiles using evolutionary algorithms

New Design Methodologies for Sizing Electrochemical Storage in Renewable Energy Systems (Case Study: Wind Turbine System)

A Systemic Approach Integrating Driving Cycles for the Design of Hybrid Locomotives

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