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检索条件"机构=Department of Instrumentation and Control Engineering Netaji"

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Analysis of Bifacial Photovoltaic Panel Under Different Reflective Surfaces 3

Analysis of Bifacial Photovoltaic Panel Under Different Refl...

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3rd IEEE International Conference on Power Electronics, Intelligent control and Energy Systems, ICPEICES 2024

作者： Kathuria, Harit Singh, Ikjot Gupta, Aditya Puniya, Gaurav Kumar, Bhavnesh Netaji Subhas University of Technology Instrumentation and Control Engineering Department Sector-3 New Delhi Dwarka110078 India

ISBN: (纸本)9798350387193

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. © 2024 IEEE.

关键词： Bifacial Gain Bifacial Solar Panels Monofacial Solar Panels Photovoltaic System Reflector

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An Efficient Regulated Battery Charger with Minimum Ripple Current For Electric Vehicle 7

An Efficient Regulated Battery Charger with Minimum Ripple C...

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7th International Conference on Computer Applications in Electrical engineering-Recent Advances, CERA 2023

作者： Singh, Minakshi Mittal, Alok Prakash Singh, Ankit Kumar Netaji Subhas University of Technology Department of Instrumentation and Control Engineering Delhi India Netaji Subhas University of Technology Department of Electrical Engineering Delhi India

ISBN: (纸本)9798350305005

This paper proposes, a single phase fast battery charger pertaining high input power factor and low output current ripple at the battery terminal for electric vehicle battery charging application. The proposed charger consists of a bridgeless SEPIC converter cascaded with an interleaved buck converter. That does not require current shaping loop for power factor correction. Moreover, bridgeless nature and zero current switching (ZCS) turn-on of S1, S2 and ZC turnoff of diode D3 results in lower conduction losses. Interleaved buck converter mitigates the ripples in output voltage and current in the battery terminals and increases the current handling capability at lower output voltage. Small-signal modeling in DCM operation has been used for designing DC link voltage controllers. The complete design procedure is also presented. © 2023 IEEE.

关键词： DC-DC converters

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A Comparative Study on Metaheuristic-Based Reconfiguration Strategies for Non-uniformly Shaded PV Array 2nd

A Comparative Study on Metaheuristic-Based Reconfiguration S...

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2nd International Conference on Signals, machines, and Automation, SIGMA 2022

作者： Dhariwal, Reeva Kumar, Bhavnesh Department of Electrical Engineering Netaji Subhas University of Technology Delhi India Department of Instrumentation and Control Engineering Netaji Subhas University of Technology Delhi India

ISBN: (纸本)9789819909681

In photovoltaic power plants, operating environmental conditions have a profound effect on the behavior and the quality of the photovoltaic (PV) energy produced. The non-homogenous insolation reduces the power producing capacity, introduces multiple peaks in the PV curve, and produces hot spots. Metaheuristic algorithms have emerged as an effective tool in reconfiguring the panels to disperse the shading uniformly. The actual locations of the modules remain unchanged during reconfiguration while the electrical connection is changed. Therefore, this paper presents a comprehensive study on two different metaheuristic optimization algorithms, namely particle swarm optimization (PSO) and grasshopper optimization algorithm (GOA). These optimization tools provide a connecting matrix for the new electrical connection that gives high output power to the same PV array. In addition, a comparison of these reconfiguration methods is done to assess their suitability of these methods. Based on the result, PSO gives better output as compared to GOA both in terms of power produced as well as the PV curve. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Solar panels

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Rearrangement of the PV Array to Reduce the Effect of Partial Shading Using Meta-Heuristic Techniques 1

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3rd Electric Power and Renewable Energy Conference, EPREC 2022

作者： Dhariwal, Reeva Kumar, Bhavnesh 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)9789811966057

ISBN: (纸本)9789811966040

Non-uniform illumination decreases the efficiency of the photovoltaic (PV) array by reducing the current through the entire string, creating a hot spot in the PV module, and producing multiple peaks in the power-voltage characteristic which results in decreased output power through the PV array. So, it becomes necessary to reduce these effects due to uneven illumination. Many techniques are used for mitigating this effect and one of them is the rearrangement of the PV array. This helps in dispersing the shade which increases the overall power of the PV system. In this paper, two meta-heuristic optimization techniques namely genetic algorithm (GA) and particle swarm optimization (PSO) are used for rearranging the PV array. The connections considered for the analysis of these techniques are TCT, BL-TCT, and HC-TCT. The result shows that rearrangement obtain through PSO when applied to TCT gives better results followed by HC-TCT when compared with the GA technique. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Genetic algorithms

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NARX Model Based Estimation of State of Charge of Lithium-Ion Batteries in Electric Vehicles under Varying Temperature Ranges 14

NARX Model Based Estimation of State of Charge of Lithium-Io...

引用

14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

作者： Tiwari, Swapnil Kumar, Bhavnesh Tyagi, Arjun Netaji Subhas University of Technology Department of Electrical Engineering Delhi India Netaji Subhas University of Technology Department of Instrumentation and Control Engineering Delhi India

ISBN: (纸本)9798350335095

Lithium-ion batteries are a viable option for automotive applications due to their high energy density and low self-discharge rate. The device's longevity and security may be estimated based on its state of charge, which reflects the available energy. A Dynamic Nonlinear Auto-Regressive model with Exogenous Input Neural Network (NARX) Model is proposed and tested to estimate and predict the state of charge (SOC) of the Lithium-Ion Battery, which affects EV performance, range, and safety. In this research, we examine the efficacy of several model-training techniques based on the input characteristics they utilize to build models. The NARX Model with 5 Input Features and Levenberg Marquardt Training (LM) algorithm is selected to train the given model with the least Mean Square Error (MSE) of 1.79E-06 with 606 epoch value. © 2023 IEEE.

关键词： Lithium-ion batteries

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An Intelligent MPPT Technique for a Three-Stage Battery Charge controller for Standalone System 2nd

An Intelligent MPPT Technique for a Three-Stage Battery Char...

引用

2nd International Conference on Signals, machines, and Automation, SIGMA 2022

作者： Hussain, Alina Manisha Department of Instrumentation and Control Engineering Netaji Subhas University of Technology New Delhi110078 India

ISBN: (纸本)9789819909681

This paper presents a comparative analysis between two different MPPT algorithms for a 3-stage battery charge controller (BCC) using a standalone system. A DC–DC buck converter is used as a step-down converter. Two different algorithms are used to extract the maximum power from solar PV panel. The maximum power from the solar photovoltaic panel is extracted using a conventional approach of Perturbation and Observation, as well as an intelligent MPPT technique called Fuzzy logic control. A battery charge controller (BCC) is used to charge the battery by using three different stages of the charging strategy. The different stages of charging incorporate Stage1—Bulk charging, Stage2—Absorption charging and Stage3—Float charging stage. The overall performance of the model is measured in terms of MPP tracking, lead-acid battery charging and controller efficiency. The output shows that the MPPT charge controller can track the MPP within 0.5 s regardless of solar irradiation variation. The concept of charging the battery in stages is implemented. The efficiency of the battery charge controller is attained up to 98.86% with a Fuzzy logic controller. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Maximum power point trackers

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Techno-Economic Analysis of Electric Vehicle Charging Station Using Sustainable Energy Sources 3

Techno-Economic Analysis of Electric Vehicle Charging Statio...

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3rd IEEE International Conference on Smart Technologies for Power, Energy and control, STPEC 2023

作者： Chandra, Agrima Gaur, Prerna Tomar, Anuradha Netaji Subhas University of Technology Department of Electrical Engineering New Delhi India Netaji Subhas University of Technology Department of Instrumentation and Control Engineering New Delhi India

ISBN: (纸本)9798350304732

In this paper a sustainable power generation system for Electric Vehicle Charging Station (EVCS) is proposed. This study explores the feasibility of an EVCS powered by a combination of Fuel Cell (FC), Biomass Generator (BMG) and Solar Photovoltaic (PV) generation. The Hybrid Optimization of Multiple Energy Resources (HOMER) software, a simulation software tool, is employed to perform the techno-economic analysis of the proposed EVCS system. Software's optimization capabilities are utilized to determine the optimized size and configuration of the renewable energy systems, accounting for the EV charging demand using available resources, and local conditions. The results demonstrate the potential of the integrated system to provide reliable and sustainable power for EV charging. The site taken into consideration for the real time load data is of the area CRPW+8G8, Himmat Ganj, Prayagraj, Uttar Pradesh, India (25°26.1'N, 81°50.8E). Overall, this research contributes to the understanding of the feasibility and benefits of integrating fuel cells, biomass, and solar PV in an EVCS and the potential of this sustainable system to reduce greenhouse gas emissions over conventional fossil fuel plants, promote renewable energy utilization, and enhance the sustainability of the transportation sector without stressing on the grid system. © 2023 IEEE.

关键词： Biomass Electric Vehicle Charging Station Fuel cell HOMER Solar PV

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Fuzzy Logic-Enhanced EV Battery Charging Station: Integration of Solar PV, SEPIC and Buck Converter with MPPT Based CC-CV Charging 9

Fuzzy Logic-Enhanced EV Battery Charging Station: Integratio...

引用

9th IEEE India International Conference on Power Electronics, IICPE 2023

作者： Chandra, Agrima Gaur, Prema Tomar, Anuradha Netaji Subhas University of Technology Department of Electrical Engineering New Delhi India Netaji Subhas University of Technology Department of Instrumentation and Control Engineering New Delhi India

ISBN: (纸本)9798350307252

The designing and modeling of renewable based Electric Vehicle Charging Station (EVCS), using Solar Photovoltaics (SPV), SEPIC converter along with Maximum Power Point Tracking (MPPT) control, a BUCK converter as Voltage Regulation (VR) mechanism and Constant Current (CC) and Constant Voltage (CV) battery control for Li-ion battery charging which here is assumed as EV battery is proposed. A detailed modeling of the system is done in MATLAB/SIMULINK. The increase in Electric Vehicle (EV) has led to increasing demand of EVCS. The design proposed here is for off grid standalone charging station with renewable source integration enhancing green and clean energy source for sustainable transportation. Standalone systems are required to power the charging stations where grid feasibility is not available like in rural areas. SEPIC along with MPPT algorithm is used to dynamically optimize operating points of SPV to achieve maximum energy under different environmental conditions. In this paper a sustainable power generation system for Electric Vehicle Charging Station (EVCS) is proposed. The adoption of FLC for CC-CV control is advantageous over PID control in dealing with nonlinearities and adapting real time conditions parameters in changing environment. The performance and feasibility of system is demonstrated via results of simulations in SIMULINK. The dynamic responses of FLC based CC-CV charging system and overall system is observed. © 2023 IEEE.

关键词： MATLAB

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Model Order Reduction of Linear Interval System by Using Firefly Algorithm and Extension of Differentiation Method 2nd

Model Order Reduction of Linear Interval System by Using Fir...

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2nd International Conference on Signals, machines, and Automation, SIGMA 2022

作者： Anand, Raj Jha, Amarnath 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: (纸本)9789819909681

This article represents the model order reduction of a large-scale linear interval system. The desired order of numerator coefficients is measured using the Firefly algorithm based on integral square error (ISE) reduction as an objective function related to the unit step as input. The reduced-order system's denominator coefficients are calculated using the extension of the differentiation method. Stable reduced-order models are always generated using the suggested strategy. The numerical examples are presented to simplify the method’s accuracy, and the computational simplicity and system stability are confirmed using Kharitonov’s theorem. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： System stability

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MIMO DC-DC Converter-based Photovoltaic Water Pumping System 5

MIMO DC-DC Converter-based Photovoltaic Water Pumping System

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5th International Conference on Energy, Power, and Environment, ICEPE 2023

作者： Bharti, Abhishek Aggarwal, Aayush Tondwal, Bhavesh Yadav, Sunil Tomar, Anuradha Netaji Subhas University of Technology Department of Electrical Engineering Delhi78 India Netaji Subhas University of Technology Department of Instrumentation and Control Engineering Delhi78 India

ISBN: (纸本)9798350313123

Globally the problem of diesel prices increasing substantially and the undersupply of electricity due to technicalreasons are major concerns for a water pumping system. If lookover India, diesel supply and price are affected by variousnational and international causes, but the shortage of electricity is linked to coal supplies and lack of funds in DISCOMs. The photovoltaic-based water pumping system (PVWPS) is a viable solution because it is essential to daily requirements and agricultural activities. However, because it uses less installed PV capacity than necessary, such PVWPS have a low return on investment. In order to solve this issue, a multi-input multi-output (MIMO) converter for PVWPS is suggested in this work. These features are included in the proposed MIMO converter: (i) multi-level voltage at multi-output terminals enables connection of diverse types of loads like three-phase AC load, single-phase AC load, and DC loads;(ii) capability to integrate multiple PV inputs and thus minimizing the power loss due to mismatching issues. A model of the MIMO-based PVWPS has been validated through MATLAB simulation and a satisfactory performance has been observed. © 2023 IEEE.

关键词： MATLAB

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