College of Engineering: Recent submissions
Now showing items 221-240 of 8755
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Deep reinforced learning-based inductively coupled DSTATCOM under load uncertainties
( Springer Science and Business Media Deutschland GmbH , 2024 , Article)Concerning the power quality issues in the power distribution network due to load uncertainties and improper impedance matching of the inductances, deep reinforced learning (DRL)-based inductively coupled DSTATCOM (IC-DSTATCOM) ... -
DERs Orchestration and Gen3 Blockchain Integration in P2P Trading Based Distribution Network
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)This paper discusses the advantages of orchestrating distribution energy resources (DERs) within the distribution network and integrating third generation (Gen3) blockchain technology among a diverse range of customers. ... -
Realization of superconducting-magnetic energy storage supported DSTATCOM using deep Bayesian Active Learning
( Springer Science and Business Media Deutschland GmbH , 2024 , Article)The Distributed Static Compensator (DSTATCOM) is being recognized as a shunt compensator in the power distribution networks (PDN). In this research study, the superconducting magnetic energy storage (SMES) is deployed with ... -
Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)The control and state estimation of Unmanned Aerial Vehicles (UAVs) provide significant challenges due to their complex and nonlinear dynamics, as well as uncertainties arising from factors such as sensor noise, wind gusts, ... -
A Stackelberg Game Theory Model for Integrated Community Energy Storage Systems
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)The rise of distributed energy resources (DERs) in the energy landscape underscores the pivotal role of prosumers in the ongoing energy transition. With the significant investment required for individual energy storage ... -
Grid-integrated solutions for sustainable EV charging: a comparative study of renewable energy and battery storage systems
( Frontiers Media SA , 2024 , Article)Introduction: The integration of electric vehicles (EVs) into the power network challenges the 1) grid capacity, 2) stability, and 3) management. This is due to the 1) increased peak demand, 2) infrastructure strain, and ... -
Adaptive Laplacian Continuous Mixed-Norm Control Approach for Dynamic Performance Improvement of Wind Energy Systems
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)This paper introduces an adaptive filtering algorithm based on the Laplacian continuous mixed-norm (LCMN) as a control methodology to improve both transient and dynamic wind energy systems (WESs) performances. The foundation ... -
Energy storage as a service to achieve a required reliability level for renewable-rich standalone microgrids
( Elsevier Ltd , 2024 , Article)Energy storage systems (ESSs) can help to reduce the intermittency and uncertainty of renewable energy supplies in power systems. ESSs are critical components of renewable-rich standalone microgrids (SMGs) to balance power ... -
A Fuel Cell Aging Prediction Method Based on Symplectic Geometry Mode Decomposition and Divide-and-Conquer Gated Recurrent Unit
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)The superposition of aging characteristics in fuel cells is a major cause of inaccurate predictions. Unlike traditional methods that mix linear and nonlinear aging characteristics, this paper develops a prediction method ... -
A Framework-Based Multi-Agent Coordination for Enhanced Microgrid Energy Management at the Secondary Control Layer
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)The effective operation of a microgrid (MG) depends on seamless coordination among agents in energy management systems. A pivotal element in this coordination is the multi-agent coordinator, strategically positioned as an ... -
A novel on intelligent energy control strategy for micro grids with renewables and EVs
( Elsevier Ltd , 2024 , Article)Energy management in Micro Grids (MG) has become increasingly difficult as stochastic Renewable Energy Sources (RES) and Electric Vehicles (EV) have become more prevalent. Even more challenging is autonomous MG operation ... -
Maximum power extraction from solar PV systems using intelligent based soft computing strategies: A critical review and comprehensive performance analysis
( Elsevier Ltd , 2024 , Other)This paper shows a comprehensive review on various maximum power point tracking (MPPT) techniques of the solar photovoltaic (PV) cell. It is well understood that power from a solar PV array is sometimes not sufficient, so ... -
Hydromagnetic flow of Casson nano-fluid across a stretched sheet in the presence of thermoelectric and radiation
( Elsevier B.V. , 2024 , Article)This work revealed the investigation of the Casson nanofluid flow's MHD (magneto-hydrodynamic) unstable boundary layer characteristics in the simultaneous transmission of thermoelectric and radiation on a stretched sheet. ... -
Towards net zero: A technological review on the potential of space-based solar power and wireless power transmission
( Elsevier Ltd , 2024 , Book Review)The global need for energy is increasing at a high rate and is expected to double or increase by 50%, according to some studies, in 30 years. As a result, it is essential to look into alternative methods of producing power. ... -
Cooperative operational planning of multi-microgrid distribution systems with a case study
( Elsevier Ltd , 2024 , Article)Clustering historical electricity consumption data is very important for creating representative demand profiles for the planning and operation of the power grids. This paper investigates a multi-dimensional framework for ... -
A comprehensive framework for effective long-short term solar yield forecasting
( Elsevier Ltd , 2024 , Article)Due to the variability of Photovoltaic (PV) output, a forecasting framework is essential for grid connected PV plants to ensure a stable and uninterrupted power supply. Among existing prediction and forecasting algorithms, ... -
Secure and efficient prediction of electric vehicle charging demand using 𝛼 2 -LSTM and AES-128 cryptography
( Elsevier B.V. , 2024 , Article)In recent years, there has been a significant surge in demand for electric vehicles (EVs), necessitating accurate prediction of EV charging requirements. This prediction plays a crucial role in evaluating its impact on the ... -
Optimizing microgrid efficiency: Coordinating commercial and residential demand patterns with shared battery energy storage
( Elsevier Ltd , 2024 , Article)The optimization of energy systems within a multi-microgrid framework, enriched by shared Battery Energy Storage Systems (BESS), has emerged as a compelling avenue for enhancing the efficiency of distributed energy networks. ... -
Super-twisting sliding mode controller for energy storage system of a novel multisource hybrid electric vehicle: Simulation and hardware validation
( Elsevier Ltd , 2024 , Article)The rapid depletion of fossil fuels, oil, and natural gas due to their excessive use is a source of motivation for finding alternative solutions. Global warming is also an important issue caused by the emission of harmful ... -
Energy market trading in green microgrids under information vulnerability of renewable energies: A data-driven approach
( Elsevier Ltd , 2024 , Article)The uncertainties of energy networks have increased in recent years due to the fast and widespread penetration of renewable resources. In this paper, the energy market trading of green microgrids composed of wind and solar ...
