International Journal of Advanced Studies in Computer Science and Engineering (IJASCSE)

International Journal of Advanced Studies in Computer Science and Engineering (IJASCSE)
ISSN : 2278 7917

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IJASCSE Volume 11 Issue 05
Optimal Distributed Generation Site and Size Allocation for loss reduction and voltage stability enhancement in distribution systems
Author:
Abderrahmane Amari; Faculty of Science and Technology, University of Djelfa 17000 DZ, Algeria.
Co-Authors (s) :
Sliman M'hamdi, Benalia M’hamdi, Samir Kherfane, Riad Lakhdar Kherfane-- Faculty of Science and Technology, University of Djelfa 17000 DZ, Algeria. Faculty of Applied Sciences, University of Ouargla 30000 DZ, Algeria.
Keywords:
Radial distribution network, Voltage stability, Power loss, Distributed generation (DG), Moth-flame optimization (MFO), Grasshopper optimization (GOA).
e-Mail:
aeramari@yahoo.fr
Abstract::
This paper concentrates on the impacts of distributed generation (DG) placement on the radial distribution system. Distributed generation is a term that refers to the generation of energy close to the point of consumption, in order to improve the performance of the electricity grid. It is a well proven fact that if the DGs units are placed in the right place in the distribution system and operating at optimal size, it will help in reducing the line losses and improving the voltage profile and as a consequence the reliability, stability and efficiency of the electrical system are preserved. In this paper, three types of DG units are considered and both Moth-flame optimization (MFO) and Grasshopper optimization (GOA) are applied to find the optimal DG sizing for a typical radial distribution system (IEEE-85 bus radial distribution test systems). The required location of the DG unit bus is selected using the index vector method (IVM) and the voltage stability index (VSI). The obtained results show that the two algorithms produce very same values. The best result in loss reduction and minimum bus voltage is attained for the DG unit at a power factor of 0.93 when compared to other DG types. However, this requires a large DG versus the other types.
Experimental and numerical investigation of the workability and mechanical properties of High-performance fiber-reinforced fluid concrete (HPFRFC)
Author:
Laid Guermiti;1Mechanical and Materials Development Laboratory, University of Djelfa, Djelfa, Algeria
Co-Authors :
FDalila Benamara, Mohamed Guendouz; Mechanical and Materials Development Laboratory, University of Djelfa,Algeria; LME Laboratory, University of Medea, Medea, Algeria
Key words::
High-performance concrete; metallic fiber; superplasticizer; fluidity; mechanical strength; response surface method.
e-Mail:
Guermiti_laid@yahoo.fr ;
Abstract::
In this study, workability and mechanical properties of fluid High-performance concrete containing metal fibers have been investigated experimentally and numerically. A total of 13 mixtures investigated using a response surface (RSM) method. The input variables in the mixtures are the superplasticizer (SP) and metal fibers (MF) percentages. The percentage in SP takes as extreme levels 1.80% and 2.4%. The metal fibers quantity in the concrete ranging from 23 kg/m3 to 37 kg/m3. The slump flow was used to evaluate the rheological properties of mixture at fresh state. For the mechanical characterization, compressive and flexural strength tests were used in the hardened state. The obtained results show that the metal fibers reduce the workability of HPFC mixtures and improve their mechanical properties, especially the ductility. The slump flow (spreading) diameter of all mixtures varied between 400 mm and 580 mm, indicating a good deformability and mobility. Compressive and flexural strength ranged from 82 to 97 MPa and 4.5 to 7.53 MPa, respectively. The ductility was conferred on the HPFRFC composites, while the brittle failure is replaced by a ductile failure. Moreover, the numerical results show that HPFRFC can be produced based on optimized application of superplasticizer and metal fiber content. The optimization results indicate that with 30 Kg/m3 fibers and 2.4% superplasticizer, the maximum 28-day compressive and flexural strength are obtained, while meeting EFNARC workability indicators. This study proved that it is possible to suitably produce a dense and workable HPFRFC that are much thinner, slenderer, lighter, more durable and low cost-effective for practical application..
Synthesis and characterization of amphiphilic surfactants with hexadecyl (C16H33-) side chains for use in marine antifouling paints.
Author :
BACHA Abdelkader; Physico-chemical Laboratory of Materials and Environment, University of Djelfa, Algeria .
Co-Authors: :
ADLI Hala Iman1, NAAS Toufik Tayeb, TELHA Mostefa; University of Djelfa, 17000 Djelfa, Algeria
Keywords:
Surfactant; nanocomposite; antifouling; cetyltrimethylammonium bromide; differential Scanning Calorimeter
e-Mail:
a.bacha@univ-djelfa.dz
Abstract::
In this work, two surfactants derived from cetyltrimethylammonium bromide (CTAB) were synthesized by telomerization reaction: N-hexadecyl, N-methyl, N-(1,1 dimethyl) ethoxy amin and zinc di- cetyltrimethylammonium. The first one is a surfactant with a linear hydrocarbon chain C16H33, the second one is a nanocomposite with two linear C16H33 chains. The latter was prepared in distilled water as solvent and zinc dioxide at 50°C. The characterization of these two telomeres was obtained by nuclear magnetic resonance (1H NMR) and differential scanning calorimetry (DSC).
The evolution of streamers with the effect of the distances covered and the nature of the insulating materials study by ANN
Author :
Fouad KHODJA; Faculty of Technology, University of Saad Dahleb, 9000,Blida, Algeria .
Co-Authors: :
Naas KHERFANE,Riad Lakhdar KHERFANE, Samir KHERFANE, Mimoun YOUNES; University of Saad Dahleb, University of Kasdi Merbah, Ziane Achour University, University of Djillali Liabes, Algeria
Keywords:
Organic Insulators, Pre disruptive phenomena, Streamers, Artificial Neural Networks, Learning process, Neural Networks Feedforward, Radial basis Function Networks
e-Mail:
khodjafouad@gmail.com
Abstract::
This model allows evaluating the speed of streamers as a function of distances covered and the nature of the insulating materials. Indeed, a database was created from a laboratory model, to train different neuronal methods for predicting the evolution of streamers on the polymers surface which presents an interesting tool for estimating the propagation phenomena.