12 research outputs found
QUALITY OF SERVICE GUARANTEE IN SMART GRID INFRASTRUCTURE COMMUNICATION USING TRAFFIC CLASSIFICATION
ABSTRAC
C I R E D 22 nd International Conference on Electricity Distribution QOS ASSURANCE IN SMART GRID FOR IP-BASED APPLICATIONS OF MASHHAD ELECTRIC ENERGY DISTRIBUTION COMPANY
ABSTRAC
Quality of service guarantee in smart grid infrastructure communication using traffic classification
fundamental requirement for smart grid is the design of a reliable and high performance communication infrastructure. The lack of timely access to information within domains of the smart grid serves as a real limit to detect and effectively react to system instability. Therefore, the delays are an important aspect and should be considered into any power system design or analysis. In this paper, we propose an IP/MPLS based communication infrastructure and optical fiber for the communication medium in the backbone network. In addition, in order to achieve the quality of service required for smart grid applications, traffic flows are classification into four classes using prioritize traffic and appropriate assignment of code point. Then, by using the Traffic Engineering with Diffserv (DS-TE) and active queue management algorithms as well as RIO, the quality of service is guaranteed in an acceptable level. (4 pages
An investigation on the impacts of regulatory interventions on wind power expansion in generation planning
Large integration of intermittent wind generation in power system has necessitated the inclusion of more innovative and sophisticated approaches in power system investment planning. This paper presents a novel framework on the basis of a combination of stochastic dynamic programming (SDP) algorithm and game theory to study the impacts of different regulatory interventions to promote wind power investment in generation expansion planning. In this study, regulatory policies include Feed-in-Tariff (FIT) incentive, quota and tradable green certificate. The intermittent nature and uncertainties of wind power generation will cause the investors encounter risk in their investment decisions. To overcome this problem, a novel model has been derived to study the regulatory impacts on wind generation expansion planning. In our approach, the probabilistic nature of wind generation is modeled. The model can calculate optimal investment strategies, in which the wind power uncertainty is included. This framework is implemented on a test system to illustrate the working of the proposed approach. The result shows that FITs are the most effective policy to encourage the rapid and sustained deployment of wind power. FITs can significantly reduce the risks of investing in renewable energy technologies and thus create conditions conducive to rapid market growth.Generation expansion planning Regulatory intervention Wind power generation
Volume degeneracy of the typical cell and the chord length distribution for Poisson-Voronoi tessellations in high dimensions
CIRED Workshop -Lisbon O OP PT TI IM MA AL L W WI IN ND D P PO OW WE ER R I IN NT TE EG GR RA AT TI IO ON N C CO ON NS SI ID DE ER RI IN NG G F FL LI IC CK KE ER R E EM MI IS SS SI IO ON N L LE EV VE EL LS S; ; A A C CA AS SE E S ST TU UD DY Y
ABSTRAC
Biosynthesis of exopolysaccharide from waste molasses using <i>Pantoea </i>sp. BCCS 001 GH:a kinetic and optimization study
The bacterium Pantoea sp. BCCS 001 GH produces an exopolysaccharide (EPS) named Pantoan through using sugar beet molasses (SBM) as an inexpensive and widely available carbon source. This study aims to investigate the kinetics and optimization of the Pantoan biosynthesis using Pantoea sp. BCCS 001 GH in submerged culture. During kinetics studies, the logistic model and Luedeking–Piret equation are precisely fit with the obtained experimental data. The response surface methodology (RSM)-central composite design (CCD) method is applied to evaluate the effects of four factors (SBM, peptone, Na2HPO4, and Triton X-100) on the concentration of Pantoan in batch culture of Pantoea sp. BCCS 001 GH. The experimental and predicted maximum Pantoan production yields are found 9.9 ± 0.5 and 10.30 g/L, respectively, and the best prediction factor concentrations are achieved at 31.5 g/L SBM, 2.73 g/L peptone, 3 g/L Na2HPO4, and 0.32 g/L Triton X-100 after 48 h of submerged culture fermentation, at 30 °C. The functional groups and major monosaccharides (glucose and galactose) of a purified Pantoan are described and confirmed by 1HNMR and FTIR. The produced Pantoan is also characterized by thermogravimetric analysis and the rheological properties of the biopolymer are investigated. The present work guides the design and optimization of the Pantoea sp. BCCS 001 GH culture media, to be fine-tuned and applied to invaluable EPS, which can be applicable in food and biotechnology applications.SCOPUS: ar.jinfo:eu-repo/semantics/publishe
Tissue adhesive hydrogel based on upcycled proteins and plant polyphenols for enhanced wound healing
info:eu-repo/semantics/publishe