Indian Institute of Technology Hyderabad (IITH) is a premier institute of science and technology established in 2008. IITH has been consistently ranked in the&nbsp;<a href="https://iith.ac.in/reports/" rel="noopener noreferrer">top 10 institutes</a>&nbsp;in India for Engineering&nbsp;<a href="https://www.nirfindia.org/2021/EngineeringRanking.html" rel="noopener noreferrer" target="_blank">according to NIRF</a>&nbsp;making it one of the most coveted schools for science and technology in the country.

IITH offers&nbsp;<a href="https://iith.ac.in/academics/under-graduate/">undergraduate programs</a>&nbsp;in all the classical engineering disciplines, applied sciences, design, as well as several modern interdisciplinary areas. Students are given a flexibility to explore a broad set of areas, and potentially pursue a minor or double major in a discipline that is not their own. Students who wish to seek a deeper understanding of their own discipline are strongly encouraged to get involved in cutting-edge research with the help of a faculty to mentor them, and earn an Honors in their own field.

The very foundation of IIT Hyderabad is based on&nbsp;<a href="https://iith.ac.in/research/">research and innovation</a>. The vibrant research culture is evident from the number of patents and publications that IITH produces consistently every year. IITH offers&nbsp;<a href="https://iith.ac.in/academics/programmes-offered/">graduate programs</a>&nbsp;at both a masters, and a doctoral level, in several diverse areas. There are separate programs for technology, design, science, and liberal arts. The&nbsp;<a href="https://iith.ac.in/academics/post-graduate/">MTech program</a>&nbsp;is offered in various modes and durations to cater to the ever-growing need of postgraduate level professionals in the country.

IITH encourages and supports&nbsp;<a href="https://iic-iith.netlify.app/index.html" rel="noopener noreferrer" target="_blank">innovation and entrepreneurship</a>&nbsp;at every stage. The minor program in entrepreneurship is open to all students of IITH, and many of the courses are offered by industrialists who are entrepreneurs themselves. There are various&nbsp;<a href="https://iith.ac.in/research/centres-incubators/">innovation centers and incubators</a>&nbsp;that promote entrepreneurship and help mentor young innovators. IITH has been very successful in building tie-ups with leading academic institutions around the globe.

IITH enjoys a very special relationship with Japanese universities and industries that goes beyond academic and research collaborations. In fact, some of the iconic buildings in IITH campus will carry the signature of Japanese architecture.

IITH creates a unique holistic ecosystem for education that offers interactive learning, a very flexible academic structure, cutting-edge research, strong industry collaboration, and entrepreneurship. This is an environment which enables students and faculty to translate their dreams into realities.

IIT Hyderabad

In this paper, a new approach to enhance the Transmission system distance relay co-ordination is presented. The approach depends on the apparent impedance loci seen by the distance relay during all possible disturbances. In a distance relay, the impedance loci seen at the relay location is obtained by extensive transient stability studies. Support Vector Machines (SVMs), a class of patterns classifiers are used in discriminating zone settings (Zone-1, Zone-2 and Zone-3) using the signals to be used by the relay. Studies on a sample 9-bus are presented for illustrating the proposed scheme. © 2008 IEEE.

Department of Electrical Engineering

World University root node

2008 Joint International Conference on Power System Technology POWERCON and IEEE Power India Conference, POWERCON 2008

Distance relay co-ordination using support vector machines in power transmission system

Post-fault studies of recent major power failures around the world reveal that mal-operation and/or improper co-ordination of protection system were responsible to some extent. When a major power disturbance occurs, protection and control action are required to stop the power system degradation, restore the system to a normal state and minimise the impact of the disturbance. However, this has indicated the need for improving protection co-ordination by additional post-fault and corrective studies using intelligent/knowledge-based systems. A process to obtain knowledge-base using support vector machines (SVMs) is presented for ready post-fault diagnosis purpose. SVMs are used as Intelligence tool to identify the faulted line that is emanating and finding the distance from the substation. Also, SVMs are compared with radial basis function neural networks in datasets corresponding to different fault on transmission system. Classification and regression accuracies are is reported for both strategies. The approach is particularly important for post-fault diagnosis of any mal-operation of relays following a disturbance in the neighbouring line connected to the same substation. This may help to improve the fault monitoring/diagnosis process, thus assuring secure operation of the power systems. To validate the proposed approach, results on IEEE 39-Bus New England system are presented for illustration purpose.

Fulltext

IET Generation, Transmission and Distribution

Application of support vector machines for fault diagnosis in power transmission system

In this paper, an approach to enhance the Extra High Voltage (EHV) Transmission system distance protection is presented. The scheme depends on the apparent impedance seen by the distance relay during the disturbance. In a distance relay, the impedance seen at the relay location is calculated from the fundamental frequency component of the voltage and current signals. Support Vector Machines (SVMs) are a new learning-by-example are employed in discriminating zone settings (Zone-1, Zone-2 and Zone-3) using the signals to be used by the relay. Studies on 265-bus system, an equivalent of practical Indian Western grid are presented for illustrating the proposed scheme.

IEEE Region 10 Annual International Conference, Proceedings/TENCON

An approach for distance relay co-ordination using support vector machines

This paper presents an approach for identifying the faulted line section and fault location on transmission systems using support vector machines (SVMs) for diagnosis/post-fault analysis purpose. Power system disturbances are often caused by faults on transmission lines. When fault occurs on a transmission system, the protective relay detects the fault and initiates the tripping operation, which isolates the affected part from the rest of the power system. Based on the fault section identified, rapid and corrective restoration procedures can thus be taken to minimize the power interruption and limit the impact of outage on the system. The approach is particularly important for post-fault diagnosis of any mal-operation of relays following a disturbance in the neighboring line connected to the same substation. This may help in improving the fault monitoring/diagnosis process, thus assuring secure operation of the power systems. In this paper we compare SVMs with radial basis function neural networks (RBFNN) in data sets corresponding to different faults on a transmission system. Classification and regression accuracy is reported for both strategies. Studies on a practical 24-Bus equivalent EHV transmission system of the Indian Southern region is presented for indicating the improved generalization with the large margin classifiers in enhancing the efficacy of the chosen model. Copyright © 2007 The Berkeley Electronic Press. All rights reserved.

International Journal of Emerging Electric Power Systems

Intelligent approach for fault diagnosis in power transmission systems using support vector machines

Electric power systems are exposed to various contingencies. Network contingencies often contribute to over-loading of network branches, unsatisfactory voltages and also leading to voltage collapse. To maintain security against voltage collapse, it is desirable to estimate the effect of contingencies on the voltage stability. This paper presents a new approach using fuzzy logic to evaluate the degree of severity of the considered contingency and to eliminate masking effect in the technique. The proposed approach, in addition to real power loadings and bus voltage violations, voltage stability indices at the load buses are also used as the post-contingent quantities to evaluate the network contingency ranking. © 2007 CRL Publishing Ltd.

Engineering Intelligent Systems

Fuzzy logic application for network contingency ranking using composite criteria

This paper presents a practical approach for analysis and improvements of distribution systems. It uses an exact three-phase power now model and solution techniques for analysis of radial distribution systems under various conditions. A visual aided approach is presented for easy understanding and implementation by practicing engineers. The performance of the distribution networks can be improved and the real power losses drastically brought down to a practical minimum by installation of shunt capacitors on the distribution system primary feeders, reallocating the loadings with minimum modifications in the distribution network routing, enhancing the capacity of existing substations or providing new substations, if necessary, at most suitable locations,. The proposed method has been tested to analyze several practical distribution networks of various voltage levels and also having high R/X ratio. The proposed approaches are effectively explained with the results of load-shifting and optimal capacitor-placement with minimum loss criterion on 133-node practical Indian distribution network.

Journal of the Institution of Engineers (India): Electrical Engineering Division

Visual aided approach for practical distribution systems analysis and improvements

This paper presents a new approach to the location of fault in the high voltage power transmission system using Support Vector Machines (SVMs). A knowledge base is developed using transient stability studies for apparent impedance swing trajectory in the R-X plane. SVM technique is applied to identify the fault location in the system. Results are presented on sample 3-power station, a 9-bus system illustrate the implementation of the proposed method. © 2006 IEEE.

2006 International Conference on Power Electronics, Drives and Energy Systems, PEDES '06

A new approach for fault location identification in transmission system using stability analysis and SVMs

Power system disturbances are often caused by faults on transmission lines. When faults occur in a power system, the protective relays detect the fault and initiate tripping of appropriate circuit breakers, which isolate the affected part from the rest of the power system. Generally Extra High Voltage (EHV) transmission substations in power systems are connected with multiple transmission lines to neighboring substations. In some cases mal-operation of relays can happen under varying operating conditions, because of inappropriate coordination of relay settings. Due to these actions the power system margins for contingencies are decreasing. Hence, power system protective relaying reliability becomes increasingly important. In this paper an approach is presented using Support Vector Machine (SVM) as an intelligent tool for identifying the faulted line that is emanating from a substation and finding the distance from the substation. Results on 24-bus equivalent EHV system, part of Indian southern grid, are presented for illustration purpose. This approach is particularly important to avoid mal-operation of relays following a disturbance in the neighboring line connected to the same substation and assuring secure operation of the power systems. © 2006 IEEE.

2006 IEEE Power India Conference

An intelligent approach using support vector machines for monitoring and identification of faults on transmission systems

In many parts of the world, the goal of electricity supply industries is always the introduction of competition and a lowering of the average consumer price. Because of this it has become much more important to be able to determine which generators are supplying a particular load, how much use each generator is making of a transmission line and what is generator's contribution to the system losses. In this paper a case study on generator contributions towards loads and transmission flows are illustrated with an equivalent 11-bus system, a part of Indian Southern Grid, based on the concepts of circuit flow directions, for normal and network contingency conditions.

Generators contribution towards loads and line flows - A case study

Generally Extra High Voltage (EHV) transmission substations in power systems are connected with multiple transmission lines to neighboring substations. The transmission lines are exposed to faults, which are equipped with protective devices such as relays and circuit breakers. Power system disturbance are often caused by a faults on transmission lines. When a fault occurs on one of the transmission lines, the protective relays expected to detect the fault and give trip signal to circuit breaker to clear the fault. In these cases over tripping of relays can happen because of inappropriate coordination of relay settings. Due to this condition the power system margins for contingencies are decreasing. With this situation, power system protective relaying reliability be-comes increasingly important. In this paper an approach is presented using Support Vector Machine (SVM) as an artificial intelligent tool for identifying the faulted feeder that is emanating from a substation and finding the distance from the substation. Support vector Machines have well-established advantages over other methods. This approach is particularly important to avoid mal- operation of relays following a disturbance in the neighboring feeder connected to the same substation and assuring secure operation of the power systems. Copyright © IICAI 2005.

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005

Support vector machine approach for fault monitoring and identification in power transmission systems

Phase-wise unbalanced reactive power compensations are required in distribution systems for dynamic power factor correction and terminal voltage stabilization. Shunt compensators are generally used to reduce or cancel the phase-wise unbalanced reactive power (VAR) demand and to minimize the reactive power drawn from the AC supply lines. Static VAR compensators are preferred over traditional VAR compensators for this purpose. The operation of thyristor-controlled compensators at various conduction angles can be used advantageously to meet the unbalanced reactive power demands in a system. However such an operation introduces harmonic currents in to the AC system. In such cases it becomes necessary either to minimize harmonic generation internally or provide external harmonic filters. In this paper, an approach is presented for operation of VAR compensators for minimization of the effect of the harmonics using the telephone influence factor (TIF) and the Total Harmonic distortion factor (THD) for a typical distribution system. © 2004 IEEE.