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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...

引用

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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An Investigation on Internet of Things: Smart Grid Technology Framework's 4

An Investigation on Internet of Things: Smart Grid Technolog...

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4th IEEE International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2023

作者： Srivastava, Prabhat Agrawal, Alok Gaur, Prerna 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)9798350306118

The traditional grid networks could be upgraded to smart grids via Internet of Things (IoT) technology. This paper discusses the various grid system architecture's, technologies, and latest communication protocols for the IoT enabled smart grids. Literature survey shows that the technological advancements in power systems are making the grids better in terms of stability and sustainability;but one of the major issue related to such advancements, especially in the IoT enabled smart grids is related to data theft. This paper summarizes the IoT enabled mitigation techniques for such smart grid system vulnerabilities. Use of technologies such as bigdata, machine learning, augmented reality and blockchain, can give support to the IoT smart energy systems so that it become more flexible, safe, and secure. This paper summarizes the knowledge of such advanced technologies which are indeed helpful to make the IoT enabled smart grid system more effective technically, economically, and socially. © 2023 IEEE.

关键词： Internet of things

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Commercial Solar PV Off-Grid Battery Charging/Swapping Station: Opportunity and Solution for E-rickshaw 2

Commercial Solar PV Off-Grid Battery Charging/Swapping Stati...

引用

2nd Edition of IEEE Delhi Section Owned Conference, DELCON 2023

作者： Verma, Akash Deep Shishodia, Virat Tomar, Anuradha Gaur, Prerna Netaji Subhas University of Technology Department of Instrumentation and Control Engineering New Delhi India Netaji Subhas University of Technology Department of Electrical Engineering New Delhi India

ISBN: (纸本)9798350322064

In developing countries, E-rickshaw is becoming popular and plays a vital role in initial and last-mile connectivity. The main reason for the wide acceptance of this mode of public transport is that it is economical as compared to a CNG auto, reduces air pollution, and provides better income opportunities. Over time, three major issues emerge related to the rise in fares, increased grid stress due to an increase in load demand for charging, and unsystematic disposal of lead-acid batteries. Presently, architectures for the charging station are available in the market but they are based on-grid supply which results in additional stress on the existing grid. In this proposed work a dedicated real-time socio-economic case study has been done to explore issues at the ground level to develop a photovoltaic (PV) based off-grid battery charging & swapping station (BCSS) and define a new category of E-rickshaw. The BCSS is proposed keeping objectives in mind to increase the return on investment (ROI) of both E-rickshaw owners by defining new a category & charging stations with fast recovery on the initial investments. © 2023 IEEE.

关键词： Lithium-ion batteries

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Global Horizontal Irradiance Estimation Using Bi-LSTM Algorithm 1

引用

1st International Conference on Machine Intelligence for Research and Innovations, MAiTRI 2023

作者： Gupta, Rahul Yadav, Anil Kumar Jha, Shyama Kant Department of Electrical Engineering Netaji Subhas University of Technology Dwarka New Delhi110078 India Department of Instrumentation & Control Engineering Dr. B. R. Ambedkar National Institute of Technology Jalandhar Punjab Jalandhar144008 India Department of Instrumentation & Control Engineering Netaji Subhas University of Technology New Delhi Dwarka India

ISBN: (数字)9789819981359

ISBN: (纸本)9789819981342

Accurate global horizontal irradiance (GHI) estimation is crucial for integrating renewable energy sources into the primary electrical system because it has an impact on grid operations, stability, and planning. Solar power is a significant component of the mix of energy sources since it has benefits for the environment and can reduce dependency on fossil fuels. With the aid of precise GHI projections, grid operators are able to forecast energy generation and adjust in real time to maintain a stable power supply. The planning of conventional power plants and efficient energy flow management is impacted by accurate GHI estimates. The balance between power production and consumption is essential for the stability of the grid. This research explores the potential of deep learning algorithms such as unilateral-LSTM and bilateral-LSTM networks for GHI prediction in Rajasthan, India, utilizing their inherent memory and adaptability. The min–max scaler technique is applied for preprocessing datasets obtained from the National Solar Radiation Database (NSRDB). To check the predictive performance and limitations of each model, this study analyzes various statistical parameters such as RMSE, MAE, and R2. The Bi-LSTM model using "RELU" as a gate activation function outperforms the Uni-LSTM due to getting the lowest values of MAE and RMSE. The highest R2 value obtained by the Bi-LSTM model indicates that its predictive performance is better than Uni-LSTM. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Forecasting

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

MIMO DC-DC Converter-based Photovoltaic Water Pumping System

引用

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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Sensitivity Analysis of Generic PEMFC to Operating Temperature and Load Variations

Sensitivity Analysis of Generic PEMFC to Operating Temperatu...

引用

2023 International Conference on Power, instrumentation, Energy and control, PIECON 2023

作者： Anand, Kundan Mittal, Alok Prakash Kumar, Bhavnesh Netaji Subhas University of Technology Electrical Engineering Department Delhi110078 India Netaji Subhas University of Technology Instrumentation and Control Engineering Department Delhi110078 India

ISBN: (纸本)9798350399769

This paper investigates the effects of load and operating temperature variation on fuel cell voltage, current, hydrogen consumption and efficiency using a generic PEMFC of 1.26kW capacity. Based on the obtained results, it is clear that the efficiency of the generic PEMFC is highest at a constant operating temperature i.e. 101.86°. The nominal efficiency of generic PEMFC i.e. 50%, can be enhanced to a maximum and minimum of 79% and 69% respectively depending on the load connected to PEMFC. Sensitivity analyzer tool has been used in for sensitivity analysis and MATLAB Simulink has been used for the simulation of generic PEMFC model. © 2023 IEEE.

关键词： Sensitivity analysis

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A Comparative Analysis of Different Batteries Technology on Off-Grid Hybrid System 2

A Comparative Analysis of Different Batteries Technology on ...

引用

2nd IEEE International Conference on Measurement, instrumentation, control and Automation, ICMICA 2023

作者： Gaurav, Avinash Tyagi, Arjun Kumar, Bhavnesh Jha, Shyama Kant Netaji Subhash University of Technology Department of Electrical Engineering New Delhi110078 India University of Delhi Faculty of Technology Department of Electrical Engineering Delhi110007 India Netaji Subhas University of Technology Department of Instrumentation and Control Engineering New Delhi India

ISBN: (纸本)9798350355048

Several rural communities are still living with disrupted power supplies. Consequently, diesel generators are used for getting regular power supply to provide effective healthcare services. Usage of diesel generator not only have deteriorating impact on the environment, but also is an expensive alternative to grid supply. Usage of renewable energy systems with battery are becoming popular solution for feeding such kind of loads in the remote areas. In this work, an off-grid hybrid electrification system (HES) is designed which consists of Solar PV-Diesel Generator-Batteries for the regular supply of electricity to the available load of PHC, located in a remote area of Kaimur district in Bihar, India. Investigation is carried out for five different technologies of batteries Lead-acid (LA), Lithium-ion (LI), Vanadium flow (VF), Zinc bromide (ZB) and Nickel-iron (NI) which are incorporated with HES. An optimum configuration for a PHC has been designed taking all major techno-economic factors and renewable penetration into consideration. Investigation reveals that a vanadium flow-based hybrid electrification system is the most feasible solution with respect to the techno-economic perspective among all considered configurations. © 2024 IEEE.

关键词： Lithium-ion batteries

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Particle Swarm Optimization Based control of a Differential Drive Mobile Wheeled Robot 14

Particle Swarm Optimization Based Control of a Differential ...

引用

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

作者： Sonowal, Arpita Rani, Asha Singh, Vijander Netaji Subhas University of Technology Department of Electrical Engineering New Delhi Dwarka India Netaji Subhas University of Technology Department of Electrical Engineering and Instrumentation and Control Engineering New Delhi Dwarka India

ISBN: (纸本)9798350335095

This work aims at the efficient control of a mobile robot using optimised PID controller. The two DC motors are controlled precisely which in turn regulate the movement of the robot. Numerous techniques have been developed to enhance the PID control strategy applied to linear and non-linear systems. In this work, first the actuator model of the mobile robot is simulated and then the optimal computation techniques i.e., Simulated Annealing (SA), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are considered to tune the gains of PID controller. ITAE is considered as the objective function for optimization. The comparative study reveals that PSO tuned PID provides the least ITAE and is thus used for the mobile robot. The velocity plots are analysed for various positions of wheels. The motion characteristics for different paths are also analysed which justify the effectiveness of the PSO-PID controller over the other considered techniques. © 2023 IEEE.

关键词： Soft computing

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Modelling of a Non-Linear Dynamic System Using Long Short-Term Memory 4

Modelling of a Non-Linear Dynamic System Using Long Short-Te...

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4th IEEE International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2023

作者： Sahu, Richa Srivastava, Smriti Kumar, Rajesh Netaji Subhas University of Technology Department of Electrical Engineering Delhi India Netaji Subhas University of Technology Department of Control and Instrumentation Engineering Delhi India National Institute of Technology Department of Electrical Engineering Kurukshetra India

ISBN: (纸本)9798350306118

Long Short-Term Memory (LSTM) is a Recurrent Neural Network (RNN) that overcomes typical neural network constraints. Because of its ability to record temporal dependencies and solve nonlinear equations, long-Term data can be simply managed. LSTM is intended to alleviate the problems of RNN's vanishing gradient and exploding gradient difficulties. In this paper, we used LSTM to solve nonlinear plant equations with a gradient descent-based back propagation approach and retrieved the plant's output as well as other performance measures including Average Mean Square Error (AMSE) and Total Mean Average Error (TMAE). When the output of an LSTM is compared to that of a feed-forward Neural Network (FFNN), the LSTM outshines the FFNN. All the parameters of both models, such as iteration count and learning rate are kept constant. © 2023 IEEE.

关键词： Backpropagation

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Metaheuristic Algorithm Implementation for PV Array Reconfiguration under Realistic Moving Cloud Condition

Metaheuristic Algorithm Implementation for PV Array Reconfig...

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2023 IEEE International Conference on Device Intelligence, Computing and Communication Technologies, DICCT 2023

作者： Kapur, Mridul Mahal, Agamdeep Singh Kumar, Priyanshu Pathak, Diwaker Manisha Gaur, Prerna Netaji Subhas University of Technology Formerly Nsit University of Delhi Instrumentation and Control Engineering Department New Delhi110078 India Teerthanker Mahaveer University Faculty of Engineering Department of Electrical Engineering UP Moradabad244001 India Netaji Subhas University of Technology Instrumentation and Control Engineering Department New Delhi110078 India

ISBN: (纸本)9781665474924

Partial shading imposes a major issue while generating power using solar photovoltaics (SPV) and consequences in the formation of hot spots and manifold peaks in the power-voltage (P-V) curve of the SPV arrays. As a result, a main deforming concern arises i.e., The power loss due to mismatch in the SPV system is dependent on and directly caused by the shading pattern. Mitigation of this MPL can be assessed by selecting a proper configuration of the SPV array and optimal shading dispersion over the complete SPV array. This paper focuses on the implementation of renowned metaheuristic algorithms (MAs) to optimally disperse the shading effect for a partially shaded total-cross-tied (TCT) SPV array configuration. A partial shading effect is generated using a realistic moving cloud model by incorporating various affecting environmental parameters. Furthermore, MAs are tested for the designed moving cloud model and a comprehensive analysis is presented among the various SPV array configurations. © 2023 IEEE.

关键词： Solar power generation

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