Shekhappa Giriyappa Ankaliki

Shekhappa Giriyappa Ankaliki
Shri Dharmasthala Manjunatheshwara College of Engineering and Technologyy, Dharwad | SDMCET · Department of Electrical and Electronics Engineering

B. E.(E&E), M. Tech. (Power System), Ph. D.( New Algorithms for Power System Security Functions), LMISTE, LISWE. LMIE
Teaching, Research Guidance, Research & Development Projects, Professional Activities and Administration

About

68
Publications
30,945
Reads
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73
Citations
Introduction
Shekhappa Giriyappa Ankaliki currently working as a Professor and Head, Department of Electrical and Electronics Engineering, Shri Dharmasthala Manjunatheshwara College of Engineering and Technologyy, Dharwad. His area of research include Electrical Engineering, Power System Operation and Control, AI Applications to power System. Smart Grid and communication Security . The current project is 'Development of New Algorithms for enhancement of ATC'.
Additional affiliations
December 2011 - April 2020
Shri Dharmasthala Manjunatheshwara College of Engineering and Technologyy, Dharwad
Position
  • Professor
Description
  • December 2011 to January 2018 Professor and PG Coordination of the Department
June 2008 - December 2011
Hirasugar Institute of Technology
Position
  • Professor & Dean Academic
Education
November 2002 - August 2008
The National Institute of Engineering, Mysore
Field of study
  • New Algorithms for Power System Security Functions
August 1995 - March 1997
December 1985 - September 1990
SJM Institute of Technology (SJMIT)
Field of study
  • Electrical & Electronics Engineering

Publications

Publications (68)
Article
Full-text available
Indian Power System is spreading at a fast pace to meet the growing requirement. This widely spreading grid has also increased the complexity towards monitoring and control. Deployment of Phasor Measurement Units (PMU) in Indian power system has brought a new data stream to be processed and which has also created an opportunity to improve situation...
Article
In this paper, we introduce a new idea for the rebuilding of measuring sensor data collected from the power grid, eliminating the impact of the attack on the integrity of confidential data. The introduced system is based on the reconstruction of Monte Carlo analysis of experimental data and the measurement of actual training data of the transfer fu...
Article
Full-text available
The ascendance of the smart grid concept has provided high hopes of developing an intelligent network that is capable of being a self-healing grid and ability to overcome the interruption problems. We developed a MATLAB-based system to examine the effect of jamming for smart grid applications in improving the reliability of the smart grids via MCS...
Conference Paper
The increased power demand has led to lengthier, complex interconnections of power systems. Erection of new transmission lines is avoided due to environmental and economic reasons, hence increased power transfer in the existing system. To monitor and control of power system, continuous performance analysis is required; also FACTS devices helps in i...
Article
This article presents touch screen technology and its interfacing with a controller to control the speed of single phase induction motor. The main objective of this article is to use remote sensing and speed control of an AC motor using touchscreen technology and micro-controller concept which is less space consumption and design [2]. In addition t...
Article
Full-text available
This paper presents the steady state analysis of power system using Power World Simulator. Analysis gives information about system voltage, power flows and losses in the system at different loading conditions. Analysis will recommend suggestion for stable operation of the system. The analysis is demonstrated by considering a case study of IEEE 6 bu...
Article
Line loss evaluation of distribution system using artificial neural network (ANN) is presented in this paper. Due to the high capability of parallel information processing of the artificial neural networks, they have most suitable for line loss evaluation of distribution system. Back propagation algorithm is adopted for training of ANN. Feeder capa...
Article
Full-text available
This paper presents hierarchical compensation technique for loss minimization in distribution system by optimum location of capacitor. The electric distribution system serves an important role in achieving satisfactory power supply. The power quality is measured by good voltage profile and voltage stability. In addition the distribution system shou...
Article
Line loss evaluation of distribution system using artificial neural network (ANN) is presented in this paper. Due to the high capability of parallel information processing of the artificial neural networks, they have most suitable for line loss evaluation of distribution system. Back propagation algorithm is adopted for training of ANN. Feeder capa...
Article
The use of Electrical Energy is exponentially increasing both in domestic and industrial sectors. The per capita consumption of Electrical Energy is taken now a day as an index of country’s growth. Unfortunately, the sources of electrical energy particularly conventional sources are depleting and hence the gap between the supply and the demand is c...
Article
Full-text available
This paper presents the basic security concept, overview of Energy Control Center (ECC) state of the art, characteristics, functions for power system, Today’s Energy Management System (EMS) is for the supervision and control of electric power systems. The responsibility today for supervising and controlling an electric power system is largely centr...
Article
This paper presents reduction of real power loss and improvement of voltage profile in distribution system by optimum location of shunt capacitor. To show the effectiveness of the capacitor placement, the method is tested on single feeder distribution system (Chandur Village Feeder, Karnataka). It is observed that by placement of the shunt capacito...
Article
This article presents application of Artificial Neural Network (ANN) for steady state monitoring of a power system. In steady state monitoring of a power system, it is important to predict the line flows and bus voltages for different operating conditions. In this paper ANN has been proposed as an alternative method to solve power system problems w...
Article
This paper presents application of Artificial Neural Network (ANN) based contingency analysis of power system. The ANN has been chosen because of its high adaptation parallel information processing capability. Another feature that makes the ANN more suitable for this type of problems is its ability to augment new training data without the need for...
Article
This paper presents contingency evaluation of power system using Artificial Neural Network (ANN). The ANN has been chosen because of its high adaptation parallel information processing capability. Another feature that makes the ANN more suitable for this type of problem is its ability to augment new training data without the need for retraining. In...
Article
Full-text available
The 802.11 family uses a MAC layer known as CSMA/CA (Carrier Sense Multiple Access/Collision Avoidance) contention resolution mechanism for sharing the wireless medium. In this environment, hosts can not trusted and selfish host that fails to adhere to the medium access policies may obtain an unfair throughput share. For instance, IEEE 802.11 requi...
Conference Paper
This paper presents application of artificial neural network (ANN) based contingency analysis of bulk power system. The ANN has been chosen because of its high adaptation parallel information processing capability. Another feature that makes the ANN more suitable for this type of problems is its ability to augment new training data without the need...
Article
This paper presents the application of Artificial Neural Network (ANN) for transmission line loss evaluation of power transmission system. The proposed method is fast and yet accurate. Active and reactive power of generators and loads, as well as the magnitude of voltage at voltage-controlled buses are chosen as inputs to the ANN. System loss are c...
Article
This paper presents genetic algorithm solution to the unit commitment and economic dispatch problem. Genetic algorithms are general-purpose optimization techniques based on principles inspired from biological evolution using metaphors of mechanism such as natural selection, genetic recombination and survival of the fittest. Using varying quantity f...
Article
This paper presents the application of Artificial Neural Network (ANN) for prediction of system maximum demand. The average hourly load on each feeder for four days in a week for one month past historical data is chosen as inputs to the ANN. The system maximum demands are chosen as outputs. The ANN was trained using supervised back propagation algo...

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Projects

Projects (8)
Project
* To acquire various concepts of power system engineering * To develop new algorithms for power system security functions