Vibhu Jately

Vibhu Jately
University of Petroleum & Energy Studies | UPES · Electrical and Electronics Engineering

Doctor of Philosophy

About

24
Publications
2,259
Reads
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147
Citations
Citations since 2016
24 Research Items
146 Citations
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2016201720182019202020212022020406080
2016201720182019202020212022020406080
2016201720182019202020212022020406080

Publications

Publications (24)
Article
Full-text available
An enhanced version of the moth flame optimization algorithm is proposed in this paper for rapid and precise parameter extraction of solar cells. The proposed OBLVMFO algorithm’s novelty lies primarily in the improved search strategies, where two modifications are proposed to maintain a proper balance between exploration and exploitation. Firstly,...
Article
Full-text available
In this paper, a new hybrid TSA-PSO algorithm is proposed that combines tunicate swarm algorithm (TSA) with the particle swarm optimization (PSO) technique for efficient maximum power extraction from a photovoltaic (PV) system subjected to partial shading conditions (PSCs). The performance of the proposed algorithm was enhanced by incorporating the...
Article
Full-text available
A directional overcurrent relay is commonly used to protect the power distribution networks of a distributed system. The selection of the appropriate settings for the relays is an important component of the protection strategies used to isolate the faulty parts of the system. The rapid growth of distributed generation (DG) systems present new chall...
Article
Full-text available
This paper discusses the simulation framework developed for an in-campus pilot micro-grid at MCAST, Malta, to enhance its efficiency and reliability. One year of real-time metered data were used to arrive at the load curves, categorize the loads as essential and non-essential ones, and decide the micro-grid domain within MCAST. The potential scenar...
Article
Full-text available
Adaptive hill-climbing MPPT algorithms have superior performance as opposed to their conventional counterparts under medium-high irradiance. However, the performance of these hill-climbing algorithms remains mostly unknown under low irradiance condition. The low irradiance conditions are prominent in tropical countries during rainy seasons and nich...
Article
Full-text available
Parameter estimation of photovoltaic modules is an essential step to observe, analyze, and optimize the performance of solar power systems. An efficient optimization approach is needed to obtain the finest value of unknown parameters. Herewith, this article proposes a novel opposition-based tunicate swarm algorithm for parameter estimation. The pro...
Article
Full-text available
The purpose of microgrids is to improve system flexibility and resilience during normal and emergency conditions. The ceaseless load growth mandates to increase microgrid’s capacity, thereby improving the system flexibility and resilience. However, capacity expansion requires significant investments, making it essential to identify the optimal capa...
Article
Full-text available
Due to the high penetration of grid-connected photovoltaic (GCPV) systems, the network operators are regularly updating the grid codes to ensure that the operation of GCPV systems will assist in maintaining grid stability. Among these, low-voltage-ride-through (LVRT) is an important attribute of PV inverters that allows them to remain connected wit...
Chapter
During the last decade, the world has been assessing the adverse effects of climate change on human life, animal life, and plant life. It has been accepted by all Governments and experts that even a 1.5°C−2°C rise in atmospheric temperature will be playing a havoc on our planet. The near unanimity of all countries, which matter, led to the historic...
Conference Paper
The power electronics interface plays a vital role in controlling the amount and quality of power components that are injected into the grid. Thus, a well-designed current control strategy is essential which governs the performance of the grid-connected PV (GCPV) system under normal or fault conditions. The selection of appropriate control strategi...
Chapter
Under LVRT, GCPV inverters aid the grid by injecting reactive power according to the grid standards whenever there is a short-term dip in the grid voltage. To ensure that the inverter output currents are limited during this period, inverter power capacity is continuously updated. Hence, active power curtailment is essential to avoid overvoltage in...
Article
Full-text available
In the renewable energy sector, the extraction of parameters for solar photovoltaic (PV) cells is a widely studied area of research. Parameter extraction is a non-linear complex optimization problem for solar PV cells. In this research work, the authors have implemented the Tunicate swarm algorithm (TSA) to estimate the optimized value of the unkno...
Article
Aspects towards the area of array signal processing are majorly confined to two techniques, Direction of arrival (DOA) estimation and adaptive beamforming (ABF). There exist different traditional techniques for estimating the direction of incoming signals such as spectral and Eigen structure-based methods that find the direction of incoming signals...
Article
Full-text available
This paper investigates the efficacy of an optimized fuzzy logic controller for real-time swing-up control and stabilization to a rigidly coupled twin-arm inverted pendulum system. The proposed fuzzy controller utilizes Lyapunov criteria for controller design to ensure system stability. The membership functions are further optimized based on the en...
Article
Full-text available
This paper formulates a maximum power point tracking (MPPT) technique that accurately tracks the maximum power point of photovoltaic (PV), which undergo simultaneous or independent sudden changes in load resistance and irradiance. The proposed algorithm is fundamentally divided into three parts; current and voltage perturbation algorithm (IPA/VPA),...
Article
Full-text available
Parameter extraction of the photovoltaic cell is a highly nonlinear complex optimization problem. This article proposes a new hybrid version of whale optimization and particle swarm optimization algorithm to optimize the photovoltaic cell parameters. The exploitation ability of particle swarm optimization with adaptive weight function is implemente...
Conference Paper
High penetration of PVs within the grid system has initiated policies and regulations to enable and encourage self-consumption PVs as a viable solution for mitigating adverse effects of high pv-penetration on grid as also for reducing energy cost to the prosumer. This solution comes with an additional cost of energy storage such as battery. This pa...
Conference Paper
In this paper an efficient DC – DC boost converter is designed to achieve a fixed output voltage which can be used with distributed energy resources (DER’s). simulation and hardware implementation of a DC-DC boost converter for a fixed output voltage. The boost converter is usually designed for a large range of varying input voltage. The customized...
Article
Maximum power point tracking (MPPT) is the back bone of most photovoltaic (PV) systems. The MPPT technique helps in extracting the maximum power available from a PV panel under varying atmospheric and load conditions. As the environmental conditions fluctuate throughout the day, maximum power point tracker along with the power converter forces the...

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Projects

Projects (2)
Project
NEEMO aims steadily set in the Electric Mobility research, related integration of technologies, modes and operations within the MCAST Energy research Theme in Transportation from terrestrial to marine mobility and from heavy-duty vehicles to micro-mobility solutions. The issue of mobility and energy is more pregnant in geographic islands due to strong energy dependence on fossil fuel. Therefore, a Network for Excellence is created with two world-leading research institutions AIT (Austria) and CEA (France) and like Malta as a widening country with distinctive island, characteristics included Cyprus through the Nicosia Development Agency (ANEL) for social policy aspects and exchange of wider experiences. The activities are mainly knowledge transfer and networking through a series of workshops, winter/summer schools, training programmes, internships, exchanges, meetings, mentoring, conferences and joint publications as well as research outputs, mostly targeted to early stage or aspiring researchers. MCAST Energy is experiencing a self-funding growth within its breadth of energy research theme that leads on campus. In addition, the MCAST main campus infrastructure together with laboratories will be the first ‘living laboratories’ on the island, used for real-life applications while delivery training and research as well. This TWINNING proposal will provide a stimulus of required knowledge to become more efficient and competitive to an international level of excellence. NEEMO is designed for all partners to benefit in a way that goes sustainably beyond the three-year funding period. This eventually will result in enhanced skills sets and profile of MCAST Energy which in turn reflect the positive development of Malta knowledge economy including its ambition as a regional energy hub, solar country, AI state and maritime hub.
Project
Supported by the H2020 European Union Funding for Research and Innovation JUMP2Excel aims to step up and stimulate scientific excellence and innovation capacity of MCAST Energy in the field of PV integration including related technologies such as energy storage and ancillary services and electricity markets. This is achieved by joint universal activities with a group of top world-leading research centres, Centro Nacional de Energia Renovables (CENER) in Spain and Commissariat a l' Energie Atomique et aux Energies Alternatives (CEA) in France together with one of the best research-intensive university The University of Manchester (UNIMAN) in United Kingdom, providing access to extensive network and contacts in the field. The activities are mainly knowledge transfer and networking through a series of workshops, winter/summer schools, MRes and PhD programmes, internships, exchanges, meetings and mentoring. MCAST Energy is experiencing a self-funding growth within its breadth of energy research theme that leads on campus. In addition, the MCAST main campus infrastructure together with laboratories will be the first ‘living laboratories’ on the island, used for real-life applications while delivery training and research as well. This TWINNING project will provide a stimulus of required knowledge to become more efficient and competitive to an international level of excellence. JUMP2Excel is designed for all partners to benefit in a way that goes sustainably beyond the three-year funding period. This eventually will result in enhanced skills sets and profile of MCAST Energy which in turn reflect the positive development of Malta knowledge economy including its ambition as a regional energy hub, solar country and blockchain state.