Department of Electrical Engineering

&ldquo;IIT Jodhpur is committed to impart quality education to facilitate the creation of qualified, competent and responsible human resources to meet the emerging technological challenges of the world. It is working towards creating an equitable learning platform that is positive, accessible and effective in the face of the modern societal and scientific advancements.

Flexibility in curriculum, in all its academic programs, encompassing elements of teaching, research, creativity, innovation and entrepreneurship is the most unique feature of IIT Jodhpur. The Department of Science and Technology (DST), under the National Mission on Cyber Physical Systems, has identified IIT Jodhpur as a Technology &amp; Innovation Hub in the area of Augmented Reality and Virtual Reality. The institute has also been nominated as the coordinator for the Jodhpur City and Knowledge Cluster by the Office of Principal Scientific Adviser, Government of India.

The sprawling 852-acre IIT Jodhpur campus is a majestic tribute to the deep-rooted diverse cultural heritage of the region. The campus is an architectural masterpiece, which is slated to become an international exemplar of sustainability with net-zero energy, and advanced water and waste management strategies.&rdquo;

IIT Jodhpur

Increasing climatic concerns have resulted in a drastic shift towards renewable energy resources. The resources like solar, wind are intermittent and result in power generation uncertainties. Conversely rising carbon emissions from transport sector and depleting fossil-based fuels have prompted the automotive industry to embrace Electric Vehicles (EVs) with batteries on wheels. When connected to grid, these vehicles can provide an effective solution for power balance in the scenario of islanded microgrids for ancillary services such as frequency and voltage regulation, power quality mitigation, etc. This work proposes a novel Automatic Voltage Regulator (AVR) integrated Virtual Synchronous Generator (VSG) based control of plugin electric vehicles (PEVs) for ancillary services support under load and EV dynamics individually and integrated. The control framework combines the AVR's regulation capabilities with the VSG's inertia and damping characteristics, enhancing grid stability and reliability. The proposed approach is implemented on a modified IEEE 14-bus system under various case studies, which include changes in load [resistive (R) or resistive-inductive (RL)], variations in number of connected EVs, combined changes in load &amp; EVs both, solar PV intermittency due to sudden cloud cover in the MATLAB environment. The results of the proposed control technique are superior to that of the conventional (droop) control technique, achieving steady state error (SSE), peak overshoot (PO) and settling time (ST) remain below 0.22, 3% and 400 ms respectively. The comparative analysis validates the robustness and stability of the proposed control technique, marking a significant advancement in ancillary services support.

Automatic Voltage Regulator integrated Virtual Synchronous Generator control of plugin electric vehicles for ancillary services support

The increased operational stresses and the aging effect have increased the instances of device malfunctions and failures in the grid. The malfunction/ failure of critical devices such as instrument transformers, breakers, etc cause unwanted supply disruptions and composite system outages. These device-level malfunctions produce unique dynamic signatures, which can be detected/segregated at phasor measurement units (PMUs) using localized data analytics with low processing delays. This work focuses on the detection and identification of ferroresonance (FR) type failures in capacitive voltage transformers (CVTs) in high-voltage transmission systems at the PMU level. For this, firstly the effect of CVT-FR on phasor measurements through frequency response characterization and sensitivity analysis is observed. Thereafter, a divergent density estimation supported intrinsic mode function method is proposed to distinguish FR events from system-level disturbances like faults, generation loss, etc., in the phasor measurements. The divergent density estimation captures the statistical distribution of intrinsic mode functions (IMFs) under perturbation and acquires unique mode signatures corresponding to FR. IMFs are obtained by applying empirical mode decomposition on the raw phasor trends. The proposed method is tested with simulated cases for different CVT models in Matlab/Simulink and real system data in the Eastern region of the India grid.

IEEE Transactions on Industry Applications

Phasor-based Identification of CVT ferroresonance with Divergent Density Distribution of Intrinsic Modes

2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation (SEFET)

Multi-Objective Optimization of Cyber-Topology Attacks in Power Systems

Multi-Objective Combinatorial Optimization of Simultaneous Multi-Trip Attacks in Power System

2023 7th International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA)

CVT Failures and Impact on Synchrophasor based Dynamic Monitoring

The disturbance monitoring, event sequence recording, and automated fault analysis in the power system require processing of power quality and digital fault recorder data. Through, reliable and granular data streaming/storage services, which inadvertently introduces unwanted data quality issues like data gaps or missing samples. The work proposes a data-driven, gap length, and spectral change independent missing harmonic recovery method using static and dynamic selectivity criteria of spectral continuity and rate of subspace affinity change. For static selectivity, a novel mean-shift cross-energy operator is proposed that quantifies the spectral similarity between the static snapshots of signals across the gap. For dynamic selectivity, a novel rate of subspace change method is proposed to detect the subspace change points in a dynamically changing data set. Based on the selectivity criterion, the missing harmonic parameters are estimated and filled using the rotational invariance technique. The proposed method could effectively reconstruct the power signals with longer data gaps, contiguous, and randomly gaped data sets under dynamic harmonic conditions. The proposition is tested with simulated data sets in Matlab/Simulink and real system data from the India grid.

IEEE Transactions on Power Delivery

Spectral Continuity and Subspace Change Detection for Recovery of Missing Harmonic Features in Power Quality

Modelling and Distinction of Cascade Tripping Attacks in Power System

World University root node

Multimedia Tools and Applications (Accepted)

Quantifying Image Naturalness using Transfer Learning and Fusion Model

This paper presents simple and intuitive strategies for effective online assessment of a freshman engineering course. The proposed strategies for unproctored online exams include creating multiple sets with identical options, using image-format questions, maintaining short duration of exam, and employing a rotational assignment. Unlike a single-set paper where the class average was found to be disproportionately high, the proposed strategies helped in correctly restoring the class average. Feedback and results from 141 students show a significant statistical difference in the scores obtained using the proposed multi-set quiz framework, as opposed to conventional single-set papers. The paper also presents a simple setup of remote proctoring using dual-video and screensharing to replicate in-person classroom exams without the need of commercial proctoring services.

Learning: Research and Practice (Accepted)

Strategies for maintaining academic integrity in remote unproctored and proctored online assessments for engineering courses

Proc. IEEE EDUCON 2023

Pre-University Outreach in STEM field through Basic Electronics Hands-on Activities