75 research outputs found
Genomic and Functional Characterization of a Novel Burkholderia sp. Strain AU4i from Pea Rhizosphere Conferring Plant Growth Promoting Activities
No full textMembers of Burkholderia genus are gaining importance for their application in crop improvement by acting as plant growth-promoting rhizobacteria (PGPR), however, our knowledge about mechanisms of their plant growth promotion is limited. Herein, we aimed to isolate Burkholderia sp. from pea rhizosphere that confers plant growth promoting traits both in vitro and in vivo using pea seedlings as model. We have isolated a novel Burkholderia strain AU4i (B-AU4i) from pea rhizosphere that strongly promotes root and shoot growth in plantae. B-AU4i confers phosphate solubilization, indole-3-acetic acid production, N2 fixation, ammonia production, siderophore production, HCN production, and inhibits growth of pathogenic fungi both in vitro and in vivo experiments where we employed pea-seedlings as model system. Sequencing of B-AU4i genome using the Illumina-HiSeq 1000 technology reveals that it contains genes for the above-mentioned biofertilizer and biocontrol activities. The findings demonstrate the potential use of B-AU4i as plant growth promoter, which could be due to the presence of relevant genes in its genome. The current study improves our knowledge regarding the genes present in Burkholderia spp. that are involved in its plant growth promotion activities. B-AU4i strain can be used for improving agriculture productivity owing to its strong biofertilizer and biocontrol activity.Fil: Usha, Devi. Shoolini University; IndiaFil: Khatri, Indu. Council of Scientific & Industrial Research. Institute of Microbial Technology; IndiaFil: Lalit, Kumar. Shoolini University; IndiaFil: Devender, Singh. Shoolini University; IndiaFil: Aditi, Gupta. Shoolini University; IndiaFil: Navinder, Kumar. Council of Scientific & Industrial Research. Institute of Microbial Technology; IndiaFil: Gárriz, Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús). Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús); ArgentinaFil: Subramanian, Srikrishna. Council of Scientific & Industrial Research. Institute of Microbial Technology; IndiaFil: Sharma, Deepak. Council of Scientific & Industrial Research. Institute of Microbial Technology; IndiaFil: Adesh, Saini K.. Shoolini University; Indi
Need of Integrated Regional Planning Approach for the Decentralisation and Optimisation of Renewable Energy Based Electric Vehicle Infrastructure: A Comprehensive Visualisation
No full textThe existing research narrates avenues in the regional and thematic area preconditions set via the framework and institutional mechanism towards energy decentralisation (ED). Moreover, with the entrant stakeholders and inclusive energy policy, the researchers find potential in local resources and capacity towards the decarbonisation of the economy. Consequently, governments around the globe emphasise multi-level sectoral economic support packages to buffer the immediate to medium-term gap and subsequently investigate their implementation in infrastructure and technology. The present review attempts to focus on the conditions of energy transformation in enabling a policy and regulatory framework. As such an integrated regional spatial framework focuses to identify support packages across urban and rural planning, transportation, renewable energy, infrastructure, environment and climate change and sustainability. Moreover, the present review revolves its thematic focus around the transport sector to strategize the energy decentralisation of the local potential in the ongoing electric vehicle (EV) transportation. The presented review toils on EV users’ struggle to orient to the need of the hour in the inadequacies of refill/charging infrastructure. Thus, it is imperative to review parameters such as availability and access to charge, depending on the source of energy in the charging infrastructure, facilities and services at the regional level. The presented review investigates under categoric and key search across conceptual regional settlement hierarchy to strategize the development of the Renewable Energy based Electric Vehicle Infrastructure (REEVI) package under system, support and services (SSS). Conclusively, the review study brings out a tentative regional settlement hierarchical integrated methodology for REEVI-SSS in the missing linkages and gaps of spatial planning to ease medium and long trip EV transportation challenges faced at the inter-city–rural, i.e., regional level
Design Improvement and Assessment of Efficiency of Three Phase Induction Motor Operating Under the Rated Voltage
No full textA software approach for the prediction of efficiency of three phase induction motor at optimize iron losses
No full textLow voltage ride through capability for resilient electrical distribution system integrated with renewable energy resources
No full textIt is evident that renewable energy sources (RES), will soon be considered as primary energy source in electrical networks. However, the increased penetration of RES along with the variable charging profile of electric vehicles in the distribution grid will pose serious technical challenges such as network instability, protection malfunctioning, aggravated line, and low- and high-voltage ride through capabilities. Moreover, the frequent occurrence of natural disasters has posed different dimensional problems for distribution system engineers. Hence, owing to the immediate demand for resilient electrical systems, many researchers have presented planning and operating techniques for resiliency enhancement. Consequently, application of low-voltage ride through (LVRT) during grid transformation in small clusters has significant role. However, the implementation of LVRT in operational methods during the transformation of an electric grid after a natural disaster has a lean share in the literature. Moreover, the applicability of grid code during microgrid formation due to extreme events also drives the planning and operational methodology. Therefore, this article first substantiates the importance of grid codes and IEEE standards for the interconnection of RES plants into a grid. Additionally, the paper presents a succinct summary on various control strategies to overcome the challenges of fault ride through capability, reactive power support, and anti-islanding in integrated wind and solar plants. Thenceforth, the importance of LVRT visibility in resiliency enhancement validated by simulating the urban electrical grid using the DIgSILENT PowerFactory Software
Relay co-ordination optimization for integrated solar photo-voltaic power distribution grid
No full textDistributed generation (DG) specifically from solar energy is gaining much attention. Integration of solar photo-voltaic plant (SPP) on distribution grid increases flexibility of the system but lacking behind in terms of convention protection scheme. The impact of orientation of point of common coupling (PCC) of SPP on distribution grid changes the entire power flow computation and hence, coordination of protection devices. This paper presents the power flow computation on modified IEEE 4-bus system for different integrated positions of SPP. Further analysis is carried for the fault current level with different locations and number of SPP DG. It has been found that DG integration increases the magnitudes of fault current; hence, it will have impact on relay co-ordination. A MATLAB/Simulink model is proposed for relay mis-coordination and optimal co-ordination by implementing evolutionary optimization technique. The Proposed study on IEEE 4-bus system along with three units 100 kW capacity of SPP is used to derived optimal co-ordination solution which validates the obtained results on electrical transient’s analysis programming platform (ETAP)
Applications of BESS in Electrical Distribution Network With Cascading Failures Study: A Review
No full textThe rise in the growth of renewables in the distribution network introduces several challenges, such as voltage & frequency fluctuation, while the digitization of the network introduces cyber threats and risks like false data injection (FDI), resulting in a cascading network failure. By determining the optimal sitting, size and cost of the Battery Energy Storage Systems (BESS), these power quality issues & threats can be overcome as BESS can rapidly inject or absorb power as needed. In case of any cyber threat, it can supply energy to critical areas, reducing the cascading effect and increasing the survivability of the distribution network. Therefore, this paper provides a review of the existing methodologies used for the optimal placement, sizing, and cost of BESS in distributed networks involving Distributed Energy Resources and Electric Vehicles. Additionally, it provides insights into cascading effects in power systems due to cyber-attack, especially FDI attacks or component failure. After a thorough literature survey of the existing methods utilized for placement, sitting, costing, and modelling techniques, the paper concludes by providing a framework to enhance the grid resiliency against such power quality issues by improving the quality and reducing the minimum disruption area in case of any FDI attack. The proposed framework differs from the existing methodologies as it provides adaptive ancillary services and dynamic BESS response to address the operational and security challenges, based on this framework EV load penetration is estimated. Further to this EV load will be integrated into the dynamic distribution grid to analyze grid parameters including frequency, voltage, and line losses considered to be the future research work of the authors. However, the proposed framework has some challenges, including data dependency for stochastic modelling, computational challenges, and high quality for reliable optimization results
Optimal allocation of distributed energy resources to cater the stochastic E-vehicle loading and natural disruption in low voltage distribution grid
No full textAbstract The everyday extreme uncertainties become the new normal for our world. Critical infrastructures like electrical power grid and transportation systems are in dire need of adaptability to dynamic changes. Moreover, stringent policies and strategies towards zero carbon emission require the heavy influx of renewable energy sources (RES) and adoption of electric transportation systems. In addition, the world has seen an increased frequency of extreme natural disasters. These events adversely impact the electrical grid, specifically the less hardened distribution grid. Hence, a resilient electrical network is the demand of the future to fulfill critical loads and charging of emergency electrical vehicles (EV). Therefore, this paper proposes a two-dimensional methodology in planning and operational phase for a resilient electric distribution grid. Initially stochastic modelling of EV load has been performed duly considering the geographical feature and commute pattern to form probability distribution functions. Thenceforth, the impact assessment of extreme natural events like earthquakes using damage state classification has been done to model the impact on distribution grid. The efficacy of the proposed methodology has been tested by simulating an urban Indian distribution grid with mapped EV on DigSILENT PowerFactory integrated with supervised learning tools on Python. Subsequently 24-h load profile before event and after event have been compared to analyze the impact
Modelling the effect of varying height of earth cuttings and their angles on parasite capacitances of 25 kV AC Railway Electric Traction lines
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