Tarlochan Kaur | Kendriya Vidyalaya Sangthan (original) (raw)

Papers by Tarlochan Kaur

Smart Grids and Microgrids

International Journal for Scientific Research and Development, Jul 1, 2015

Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, Oct 1, 2019

Estimation of solar potential is vital for renewable energy applications. In several studies, art... more Estimation of solar potential is vital for renewable energy applications. In several studies, artificial neural networks have been employed to model solar radiation using various meteorological parameters. The collection and availability of the most appropriate input parameters is important for getting an accurate artificial neural network model. The present study aims to estimate the global solar radiation using different meteorological parameters and identify the significant parameters based on the analysis of synaptic weights in an artificial neural network model using the connection weight approach. Initially, artificial neural network and empirical models is applied to estimate the solar radiation in Chamba region. The artificial neural network architecture 5-48-15-1 resulted in minimum mean absolute percentage error of 12.15%. The mean absolute percentage error values for linear models are found to be 18.95%, 15.39%, and 21.62%, respectively. Thereafter, connection weight approach is applied to find significant parameters. The efficacy of the approach has been shown through a case study related to estimation of solar radiations in the Hamirpur region situated in the state of Himachal Pradesh (India). Five input parameters, namely temperature (T), relative humidity (RH), clearness index (K T), precipitation (P T), and pressure (P), have been considered to estimate solar radiations using a feed-forward neural network. The proposed approach infers that temperature is the most significant parameter followed by humidity and pressure. The clearness index and precipitation has been found to have the least effect on the estimation of solar radiations. Results also indicate that artificial neural network based technique is more accurate compared to empirical model.

International journal of innovative research in electrical, electronics, instrumentation and control engineering, Nov 20, 2014

The output of the solar photovoltaic (PV) arrays is not constant throughout the day. It varies wi... more The output of the solar photovoltaic (PV) arrays is not constant throughout the day. It varies with time. Output change with the climatic condition, it varies in summer winter and rainy season. So we cannot get the maximum output all the time. This paper discuss the factor that effect solar PV performance in different environment condition and location of PV module. These factors may be orientation of the PV module, tracking the sun, temperature of PV module, incidence/tilt angle of the PV panel, shading of the panel, mounting rooftop material, mounting height, solar irradiance, type of PV module, and dust on module. Above said are some important factor that significantly affects the performance of solar photovoltaic cells. So need to be discussed.

DC Microgrids, May 25, 2022

2016 7th India International Conference on Power Electronics (IICPE)

Solar Energy is a clean and renewable power resource and is on its way to high level penetration ... more Solar Energy is a clean and renewable power resource and is on its way to high level penetration in the world electricity energy basket. However, there are several challenges associated with Solar Energy, like intermittency, limited dispatch ability and non-storability. Non-storability in a standalone PV system can be mitigated by incorporating energy storage devices like battery to store the electrical energy produced by solar panel when the sun is shining and to supply power when the sun is not shining. Batteries are, therefore, one of the critical component in the standalone PV system. And often the weakest link in PV systems as it influences the maintenance cost and reliability of the system. This paper involves designing and development of a low cost, microcontroller based, solar powered battery charging system. The developed system incorporates (i) MPPT (ii) Arduino Uno interface for battery management functions Arduino Uno interface, (iii) LCD display for information to the user about the system regarding the systems overall capacity to charge at any given time, (iv) data storage and incorporates Wi-Fi module for remote surveillance and uploading live data which can further be used for studying the health of the battery and help in maintenance of battery. The developed solar powered battery charging system for DC loads has been designed for use in Solar Home Systems (SHS). The individual SHS can be connected to form a low voltage DC micro grid for the remotely located rural population for sustainable provision of electric energy services.

Lecture Notes in Mechanical Engineering, 2021

Control and Measurement Applications for Smart Grid, 2022

Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2021

2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), 2018

Demand Response (DR) is drawing the attention of the power system operators due to the increasing... more Demand Response (DR) is drawing the attention of the power system operators due to the increasing electricity demand and limited generation capacity to meet the growing demand. Traditionally, DR involved large industrial and commercial consumers only; but now due to the advancement in technology, it's deployment in small residential, commercial and educational sectors is also being considered. Moreover, the rural population would also get connected under ‘Power to All’ program by government of India. Energy released due to DR action could be used to meet this mission to great extent. In this paper, DR program is designed and studied for a University Campus. A MATLAB/Simulink model of large loads like air conditioners, geysers, etc. has been considered to provide DR action. A new sub-model incorporating a thermostat that uses Real-time Pricing (RTP) of electricity to control the temperature setting of the air conditioner has been proposed in this paper. Results show that DR is useful in reducing the peak demand as well as the overall energy consumption.

Smart Systems and IoT: Innovations in Computing, 2019

Current digital payment solutions are passwords or PIN-based and are complex and time-consuming p... more Current digital payment solutions are passwords or PIN-based and are complex and time-consuming process with 5+ steps including downloading an app, thereby impacting bandwidth and cost. Moreover, these are susceptible to phishing/vishing/theft/hacking. Also, visually impaired/specially abled are not able to access current payment processes. In this paper, “Voice Pay” solution has been developed which aims at making banking personal and possible for anyone using the most secured authentication which is “voice”. Without any additional app, it provides a solution that allows everyone (including visually impaired/specially abled) to perform banking operations with ease in the most secured way. It allows, from cumbersome 5+ step process, to an extremely cost-effective few seconds process making it simple, time-saving, and cost-effective process. It uses available ML and AI/NLP solutions of intelligent virtual assistants and is less vulnerable to breaches than any credential. Sample use case has been undertaken.

Electric Power Components and Systems, 2020

In the coming years, charging of electric vehicles (EVs) may impose significant power loads on th... more In the coming years, charging of electric vehicles (EVs) may impose significant power loads on the existing utility system. Alternatively, the integration of EVs with distributed generation units may cause several uncertainties in microgrids. In such situations, controlling the frequency of microgrids will be a challenging task. Consequently, this calls for the requirement of implementing proper control techniques for utilizing EVs potential to act both as source and load. This paper proposes and evaluates the performance of the Primary ANFIS MPPT Controller for PV systems and Secondary ANFIS EV Controller for EV charging stations. The Primary ANFIS MPPT controller strictly monitors the power extracted from photovoltaic systems in different temperature and irradiance conditions. The Secondary ANFIS EV Controller schedules charging/discharging of plugged-in EVs w.r.t microgrid’s frequency and EV battery’s state of charge. To investigate the performance of proposed smart controllers, ...

2019 9th International Conference on Power and Energy Systems (ICPES), 2019

Perpetual drift towards distributed generation has encouraged the concept of microgrids on a wide... more Perpetual drift towards distributed generation has encouraged the concept of microgrids on a wide scale. Over the years, microgrids integrated with renewable energies, power electronics devices, energy storage elements and static or dynamic loads are gaining attention worldwide. However, the control and operation of renewable based microgrids is challenging, owing to their dependence on weather conditions. Further, controlling frequency of microgrids within acceptable range, especially if islanded is a complex process. This paper presents an adaptive neuro-fuzzy inference system based frequency regulation in an autonomous microgrid. The ANFIS controller aims at performing coordinative charging/discharging of storage battery for real power balance in the system. The system has been tested under several scenarios including changing weather conditions and consumer power consumption usage. The system is designed and tested in MATLAB/Simulation environment. The obtained results verify efficiency of the proposed controller.

2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon), 2017

Biomedical imaging plays an imperative role in the detection process that in turn aids specialist... more Biomedical imaging plays an imperative role in the detection process that in turn aids specialists in making an accurate diagnosis. Panoramic dental radiograph is widely used by dentists as it facilitates wider diagnosis of the j aw, teeth and soft tissue. Panoramic image requires an image processing that could generate sharper and clearer images or could improve the quality of information contained in the image. This will facilitate a better visual interpretation of it. Edge detection is the fundamental step required in many image processing applications for obtaining information from the image segmentation, feature extraction etc. However, conventional edge detection operators are not always suitable to work with different types of images due to differences in the nature of image and the variation of problems in the image. This study focus on automating edge detection of panoramic dental radiographs using Multiple Morphological Gradient Method and making use of MATLAB for implementing algorithms developed. Datasets of digital panoramic dental radiograph in JPEG format are used for edge detection of the region of interest. The results show successful implementation of methodology developed.

With the development of the internet, processing and storage technologies, computing resources ha... more With the development of the internet, processing and storage technologies, computing resources have become cheaper, more powerful and available 24X7 everywhere. Cloud computing has now established itself as a preferred paradigm for hosting and delivering services over the internet. It allows consumers to start from the small and increase resources when there is a rise in service demand, eliminating the requirement to plan ahead for provisioning. One of the key challenges of cloud computing is the need for an automated and an integrated rational approach for dynamic provisioning of resources. This will allow the cloud to offer services that are reliable, cost-efficient and secure. In this context, autonomic computing promises to be a new concept for increasing reliability, autonomy and performance by enabling systems to adapt to changing circumstances. The aim of this paper is to provide a better understanding of the type of system architecture required to support above told objectiv...

2017 4th International Conference on Signal Processing, Computing and Control (ISPCC), 2017

DC microgrids are gaining attention worldwide over the past few years. The benefits of using DC d... more DC microgrids are gaining attention worldwide over the past few years. The benefits of using DC distribution in comparison to AC distribution has been identified in various studies. The development in the concept of DC microgrids has enhanced the charging operation of electric vehicles and has reduced the charging time to a great extent. This paper presents the review of DC microgrids including their design, control, energy management and protection. A significant focus is made on review of DC microgrid based electric vehicle charging stations and their architecture.

In coming years, the widespread use of Plug-in Hybrid Electric Vehicles (PHEVs) will impose a sig... more In coming years, the widespread use of Plug-in Hybrid Electric Vehicles (PHEVs) will impose a significant burden on the existing electric grid. The situation may worsen due to uncontrolled charging strategies adopted for PHEVs. On the other hand, these PHEVs, if charged through proper control mechanisms may reduce additional dynamic load demands. Also, if utilized properly, they may provide significant support to electric grid from time to time. The entire process of regulating the power exchanged with PHEVs w.r.t the existing grid conditions is well known as Demand Side Management (DSM). To indulge PHEVs in DSM, an accurate estimate of characteristics of PHEVs, both on-road and off-road, is necessary. Thus, this study aims to mathematically model the behaviour of four imperative parameters of PHEVs. These are dynamic travel behaviour, battery state-of-charge (SOC) requirements, the energy demands of PHEVs and, total power exchanged by PHEVs with the electric grid. In addition to th...