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Advancement in Electronics & Communication engineering (AECE), International Conference on

作者： Manvi Gupta Archie Arya Uday Varshney Jishnu Mittal Anuradha Tomar Electrical Engineering Department Netaji Subhas University Of Technology Delhi India Instrumentation and Control Engineering Department Netaji Subhas University Of Technology Delhi India

ISBN: (数字)9798350364729

ISBN: (纸本)9798350364736

This study explores data-driven methodologies for State of Health (SOH) and Remaining Useful Life (RUL) prediction of lithium-ion batteries, vital for electric vehicle (EV) adoption. Leveraging NASA and Oxford Battery Degradation datasets, advanced state of the art machine learning techniques like LSTM networks and Transformers and Gated Recurrent Unit (GRU) are integrated to develop and validate a predictive model. Challenges such as non-linear behavior and limited data are addressed with a novel neural network. A comprehensive literature review along with comparative analysis is done to assess the better performing model and it’s strengths compared to others. The study advances battery health prediction technologies, enhancing EV battery reliability and efficiency.

关键词： Lithium-ion batteries Degradation Analytical models NASA Estimation Machine learning Predictive models Transformers Electric vehicles Long short term memory

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Secondary Droop control Supported Cascaded PR controller for SCIM-Based Water Pumping System

Secondary Droop Control Supported Cascaded PR Controller for...

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Sustainable Energy and Future Electric Transportation (SEFET), International Conference on

作者： Akash Deep Verma Prerna Gaur Anuradha Tomar Instrumentation & Control Engineering Department Netaji Subhas University of Technology Delhi India Electrical Engineering Department Netaji Subhas University of Technology Delhi India

ISBN: (数字)9798350383997

ISBN: (纸本)9798350384000

The squirrel cage induction machine (SCIM) based water pumping system (WPS) remains a cost-effective and robust option compared to other alternatives. However, the voltage-to-frequency-based controllers and direct-on-line (DOL) start of SCIM within solar PV-based microgrids (MGs) result in voltage dips and harmonic disturbances. Hence, other electrical applications can't be used in parallel. The SCIM needs a dedicated system that increases the overall cost. Hence, maintaining load voltage and frequency constant in a power system with IEEE 519 standards is very critical with a SCIM-based WPS. To address this issue, a secondary droop-control supported cascaded proportional resonant (CPR) controller has been proposed and tested for a three-phase voltage source inverter (VSI) in a grid-interactive solar PV system for SCIM-based WPS. The objective is to keep constant load voltage and frequency with enhanced power quality as per IEEE 519 standards and optimize power management so that other applications can also be used in parallel with the same controller. Additionally, a “Grid-Start Grid-Run” mode has been discussed to protect solar modules from over-current during the DOL start of the WPS. The DC link voltage is regulated to ensure the motor torque and speed remain within specified operational parameters. The proposed control is stable, robust, and cost-effective, offering the flexibility to operate in islanded mode when necessary.

关键词： Torque Stability criteria Power quality Resonant frequency Power system stability control systems Solar panels Voltage control Standards Frequency control

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Analysis of Bifacial Photovoltaic Panel Under Different Reflective Surfaces

Analysis of Bifacial Photovoltaic Panel Under Different Refl...

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IEEE International Conference on Power Electronics, Intelligent control and Energy Systems (ICPEICES)

作者： Harit Kathuria Ikjot Singh Aditya Gupta Gaurav Puniya Bhavnesh Kumar Instrumentation and Control Engineering Department Netaji Subhas University of Technology Dwarka New Delhi India

ISBN: (数字)9798350387193

ISBN: (纸本)9798350387209

With developments in bifacial solar panels, the solar photovoltaics interest has started shifting from monofacial designs to bifacial solar panels. This paper analyses and compares the performance between a bifacial and a monofacial solar panel system. The bifacial design offers different performance characteristics based on the reflective properties of the base material. This paper reviews and compares the system's performance on various reflective surfaces. This study employs a comparative outlook on performance measures such as current, voltage, power and thermal outputs. Taking the global energy crisis into consideration, solar panels prove to be an important replacement for the conventional ways of electricity generation and bifacial solar panels improve the efficiency of a conventional solar panel. Therefore, this study is anticipated to serve as a guide for integrating bifacial photovoltaic systems in general use, increase its efficiency and also promote research in this domain.

关键词： Temperature dependence Voltage measurement Power measurement Reviews System performance Electricity Power electronics Solar panels Sun Intelligent control

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Assessment using MCDM approach of renewable hybrid energy system with hydrogen production capability

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International Journal of Hydrogen Energy 2025年 137卷 448-460页

作者： Gaurav, Avinash Tyagi, Arjun Jha, S.K. Kumar, Bhavnesh Department of Electrical Engineering Netaji Subhas University of Technology New Delhi110078 India Department of Electrical Engineering Faculty of Technology University of Delhi Delhi110007 India Department of Instrumentation & Control Engineering Netaji Subhas University of Technology New Delhi110078 India

Researchers worldwide are exploring renewable hybrid energy systems that integrate battery energy storage systems and hydrogen production technology to combat climate change. The study presents a novel hydrogen production method that integrates a biomass reformer with an electrolysis system, offering a sustainable, cost-effective solution for clean hydrogen generation, addressing biomass waste management, and contributing to climate change mitigation. This study aims to design an optimal renewable hybrid energy system (RHES) with battery storage and hydrogen production capability for powering rural communities in Bihar, India. Three different battery energy storage systems (Lithium-ion, Lead-acid, Vanadium Flow) are examined using HOMER Pro software. An investigation carried out on techno-environment-economic perspective to assess the designed configuration on excess energy generation, cost of energy, net present cost, cost of hydrogen and CO2 emission. The MCDM strategy reveals that vanadium flow-based RHES is the optimal, sustainable and feasible solution. © 2025

关键词： Battery storage

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Investigating PV Power Loss Correlations with Environmental Factors: A Case Study from Delhi

Investigating PV Power Loss Correlations with Environmental ...

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IEEE Power India Conference

作者： Anuradha Tomar Saksham Nanda Hritik Kumar Departmnt of Instrumentation & Control Engineering Netaji Subhas University of Technology Delhi India Department of Electrical Engineering Netaji Subhas University of Technology Delhi India

ISBN: (数字)9798350367065

ISBN: (纸本)9798350367072

Photovoltaic (PV) systems exhibit a high degree of environmental sensitivity, which can result in power losses and reduced system efficiency. To analyze power loss in PV systems, this paper presents an analytical method that uses the Random Forest algorithm while accounting for environmental factors like dust density, temperature, irradiance, humidity, and wind speed. To investigate these relationships, cross-sectional data were analyzed. The data came from rooftop PV plant situated at a University in Delhi, India, were collected between January 1, 2021, and December 31, 2021. Because of its ability to manage non-linear relationships between variables and enable a thorough understanding of complex interactions, the Random Forest model was chosen. It can be helpful in predicting power outages as well as identifying how specific environmental factors affected the operation of the system. Pair plots and scatter plots were used in data preprocessing and exploratory analysis to show that dust concentration is one of the main factors affecting power loss. Dust concentration is closely correlated with ambient temperature, highlighting the urgent need for strategies to mitigate these impacts to increase the efficiency of PV systems. The data reveals that power loss peaks around 2000 W, indicating a significant loss threshold. The results highlight the need for ongoing observation and flexible management to improve performance in a variety of environmental settings.

关键词： Photovoltaic systems Temperature sensors Temperature Correlation System performance Prevention and mitigation Wind speed Predictive models Environmental factors Maintenance

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Economical Demand-Side Management with Distributed Energy Resources

Economical Demand-Side Management with Distributed Energy Re...

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IEEE Region 10 Symposium

作者： Vishal Sachin Kumar Harsh Kumar Sagar Gaurav Alok Agrawal Department of Electrical Engineering Netaji Subhas University of Technology New Delhi India Department of Instrumentation and Control Engineering Netaji Subhas University of Technology New Delhi India

ISBN: (数字)9798350364866

ISBN: (纸本)9798350364873

A potent technology for demand response is proposed in this paper. The proposed algorithm is believed to bring significant monetary increments and improvements in grid stability, especially within the emerging context of renewables as well as Electric Vehicles (EVs). This research presents an innovative strategy for finding residential participants with load profiles alone for maintaining grid stability, which is useful in data-scarce countries like India. The proposed algorithm aimed at maximizing customer and grid benefits. Additionally, the adoption of Distributed Energy Resources (DERs) will make Demand Side Management (DSM) strategies more effective, thus underlining their significance in molding a sustainable energy environment. More importantly, the study contributes to the knowledge of economic DSM practices outlining DER integration for future energy resilience and sustainability.

关键词： Energy consumption Renewable energy sources Demand side management Shape Power system stability Demand response Distributed power generation Particle swarm optimization Sustainable development Resilience

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Frequency Regulation of Multi-Source Power System Through Aggregated Thermostatically controlled Loads

Frequency Regulation of Multi-Source Power System Through Ag...

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Silchar Subsection Conference (SILCON), IEEE

作者： Sweta Gupta V S K V Harish Rajneesh Sharma Department of Electrical Engineering Netaji Subhas University of Technology New Delhi India Department of Instrumentation and Control Engineering Netaji Subhas University of Technology New Delhi India

ISBN: (数字)9798331540821

ISBN: (纸本)9798331540838

The use of thermostatically controlled loads like inverter air conditioners (IACs) is widespread and can be leveraged for frequency regulation services. This paper focuses on load frequency control (LFC) for single area multi-source system comprising thermal, hydro and gas sources. The proportional integral (PI) and fractional order PI (FOPI) controllers are proposed using the particle swarm optimization (PSO) algorithm. The PSO based PI/FOPI strategy determines controller parameters by optimizing ITAE performance index. MATLAB/SIMULINK results demonstrate the significant improvements in overall system dynamics. The robustness of the proposed controllers is assessed under non-linear conditions, including generation rate constraints (GRC), governor dead band (GDB) and time delays. The PSO-FOPI controller exhibits superior robustness and dynamic response among the considered controllers.

关键词： PI control Power system dynamics Power system stability Robustness Inverters Nonlinear dynamical systems Thermal loading Particle swarm optimization Frequency control Thermal stability

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Cost Optimization of EV Charging Station Integrated with Solar PV

Cost Optimization of EV Charging Station Integrated with Sol...

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International Conference on Electrical Power and Energy Systems (ICEPES)

作者： Prabhat Srivastava Alok Agrawal Prerna Gaur Department of Electrical Engineering Netaji Subhas University of Technology New Delhi India Department of Instrumentation and Control Engineering Netaji Subhas University of Technology New Delhi India

ISBN: (数字)9798350390728

ISBN: (纸本)9798350390735

Mobile charging stations (MCS) consist of vehicle equipped with battery banks and rapid chargers. The idea of using static charging station is to refuel electric cars. These charging stations are scheduled and routed to meet the needs of electric vehicle users who are heterogeneous in terms of geography and time. In order to meet the requirements of mobile charging stations, charging requests deadlines, cost estimation, acceptance of both the user etc. conditions should be required. Also, to optimize the problem to turn down the cost of charging, it should require to get the solar enabled charging station that provide surplus of energy at the peak hours and increase the reliability of system. Numerical findings demonstrate that the approach can significantly lower the cost of charging at peak hours and off peak too and also improving customer satisfaction by improvising the charging strategy. Solar based MCS have the potential to significantly contribute to the acceleration of EV adoption by offering charging services based on the location and time-agnostic.

关键词： Costs Estimation Charging stations Real-time systems Batteries Solar system Smart grids

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Predictive Modeling and Sensitivity Analysis for Averting Nanoparticles Agglomeration in Metal Matrices

SSRN

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SSRN 2024年

作者： Gupta, Sanjay Tevatia, Abhishek Rana, K.P.S. Department of Mechanical Engineering Netaji Subhas University of Technology Delhi110078 India Department of Instrumentation and Control Engineering Netaji Subhas University of Technology Delhi110078 India

Nanoparticles agglomeration has been a crucial factor in restricting their potential improvements in metal matrix nanocomposites (MMNCs), since last decades. Though their extraordinary properties have proven applicability of MMNCs for diversified applications, agglomeration of nanoparticles resulting in poor dispersion and distribution in matrices restricts their competence. Various experimental investigations have proven the opportunities for reducing the nanoparticles agglomeration and proposed theoretical factors behind the agglomeration tendency of dispersed nanoparticles. Present work offers a predictive model for predicting nanoparticles agglomeration. Particularly, the influence of nanoparticle agglomeration on yield strength of MMNCs has been investigated through a yield strength prediction model by considering various strengthening mechanisms and degradation factor, which quantifies the porosity. It is worth mentioning that the nanoparticle agglomeration causes interfacial stress concentration and poor dispersion of load which is mainly responsible for an overall reduction in the yield strength. Two distinct agglomeration factors and the sensitivity analysis provides significant insights into changes in parameters and their influence on the predictive model. The proposed model has been validated with other available models and experimental data. Obtained results also revealed that the yield strength is significantly influenced by the volume fraction and size of the nanoparticles. © 2024, The Authors. All rights reserved.

关键词： Sensitivity analysis

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EV Integrated PV Water Pumping System with Priority-Based control

EV Integrated PV Water Pumping System with Priority-Based Co...

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Sustainable Energy and Future Electric Transportation (SEFET), International Conference on

作者： Anuradha Tomar Department of Instrumentation & Control Engineering Netaji Suhas University of Technology Delhi India

Solar photovoltaic-based water pumping system (PVWPS) is emerging as a promising solution for addressing the water needs in rural/remote regions. However, there is a need to increase the utilization of installed PV capacity in such PVWPS as water pumping is required only a few hours a week. To address this issue, in this paper an electric vehicle integrable PVWPS with priority-based control is proposed. It will enable alternative utilization of installed PV capacity and thus would result in improved return on investment. The proposed system is validated through MATLAB simulation. The satisfactory performance of the proposed system has been observed under various operating scenarios. The proposed PVWPS with optimized configuration and design parameters could be further explored in future.

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