D. Devaraj - IEEE Xplore Author Profile
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D. Devaraj

Also published under: Durairaj Devaraj

Publications
107
Citations
666
Publications by Year
20042024
Co-Authors:
Show All Co-Authors (110)
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D. Devaraj

Also published under: Durairaj Devaraj

Affiliation

Department of EEE
Kalasalingam Academy of Research and Education
Krishnankoil, India

Publication Topics

Biography

Durairaj Devaraj received the BE, ME, and PhD degrees all in electrical and electronics engineering in 1992, 1994, and 2002, respectively, from Thiyagaraja College of Engineering and IIT Madras, respectively. Currently, he is a professor in the Department of Electrical and Electronics Engineering, Kalasalingam University, Krishnankovil. He is the project director of Power System Automation Group, TIFAC-CORE in network engineering sponsored by DST, Government of India. His research interest includes applications of computational intelligent techniques, power system optimization, and data mining.(Based on document published on 20 February 2014).
Publications
107
Citations
666
Publications by Year
20042024
Co-Authors:
Show All Co-Authors (110)
Author's Published Works

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Development and performance analysis of Arduino-based low cost power quality analyzer

Raja Mohamed Sumsudeen;Narmatha Banu;D. Devaraj

8th IET Smart Cities Symposium (SCS 2024)
Year: 2024 | Conference Paper |
This paper discusses the design and testing of a low-cost Power Quality Analyzer. A low-cost Power Quality Analyzer is based on Arduino Mega 2560 was introduced. A voltage conditioning circuit is built to condition voltages that would be sampled to fit levels for analog to digital conversion. To sample currents, a current transducer is used and interfaced with the proposed system. To deal with mea...Show More

Development and performance analysis of Arduino-based low cost power quality analyzer

Raja Mohamed Sumsudeen;Narmatha Banu;D. Devaraj

Year: 2024 | Conference Paper |

Optimal Placement of PMU with Complete Observability using Genetic Algorithm

Priya Venugopal;D. Devaraj;Johney Isaac

2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Phasor Measurement Units(PMUs), play a pivotal role in controlling, monitoring, and protection of electrical networks. Achieving complete observability while minimizing the number of PMUs installed is a key consideration during PMU placement. This paper focus on Genetic Algorithm-based approaches for optimizing PMU placement to ensure full observability. The proposed technique is simulated using M...Show More

Optimal Placement of PMU with Complete Observability using Genetic Algorithm

Priya Venugopal;D. Devaraj;Johney Isaac

Year: 2024 | Conference Paper |

Simulation and Performance Analysis of Electric Vehicle

Jean Dickson;D Devaraj

2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)
Year: 2024 | Conference Paper |
Reducing greenhouse gas emissions and pollution in our environment can be achieved with electric automobiles. Electric Vehicle is highly required to replace the impact of IC engines. The goals include enhancing fuel efficiency, cutting emissions, guaranteeing drivability, and preserving the energy storage system's longevity and current state of charge while taking constraints into account. Power t...Show More

Simulation and Performance Analysis of Electric Vehicle

Jean Dickson;D Devaraj

Year: 2024 | Conference Paper |

A Multi-Port High Gain DC-DC Boost Converter for Renewable Energy Applications

Shinosh Mathew;D Devaraj

2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)
Year: 2024 | Conference Paper |
One among the most crucial parts of green energy systems is thought to be high-gain DC/DC converters. Utilizing an excessive duty cycle, a great deal of high-gain converters are used to enhance the gain of voltage. However, it raises expenses and losses, deteriorates system performance, and results in low efficiency. Combining the good aspects of the high gain converter with a three-port converter...Show More

A Multi-Port High Gain DC-DC Boost Converter for Renewable Energy Applications

Shinosh Mathew;D Devaraj

Year: 2024 | Conference Paper |

Hand Gesture Classification using sEMG Signals and Ensemble Learning

Ranjeesh R Chandran;D. Devaraj;Saurav Ashok;Donfred Shaji;Sam K Saju

2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)
Year: 2024 | Conference Paper |
Electromyographic signals offer details on a muscle activity of a person. In the case of hand movements various combinations of forearm muscles must be activated in order to carry out each gesture, which results in unique electrical patterns. On the other hand, identifying the motion being executed is made possible by the examination of these patterns of muscle activation, which are captured by EM...Show More

Hand Gesture Classification using sEMG Signals and Ensemble Learning

Ranjeesh R Chandran;D. Devaraj;Saurav Ashok;Donfred Shaji;Sam K Saju

Year: 2024 | Conference Paper |

A Split-Pi Technique-Based Adaptive Droop Control Method for Microgrid Control

M. Thiyagarajan;D. Devaraj

2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)
Year: 2024 | Conference Paper |
DC microgrids (MGs) are gaining popularity as efficient solutions for integrating diverse energy resources. Traditionally, droop control has been widely used as a decentralized control method for distributing power in DC MGs. This paper introduces a new approach by implementing an Adaptive Dropping-based Split range control using an Proportional-integral controller which involves the use of two va...Show More

A Split-Pi Technique-Based Adaptive Droop Control Method for Microgrid Control

M. Thiyagarajan;D. Devaraj

Year: 2024 | Conference Paper |

Impact of Wind Energy Conversion System on Fault Clearance Time

P. Jayanthi;D. Devaraj

2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)
Year: 2024 | Conference Paper |
The Critical Clearance Time analysis of an electric power system is crucial in designing the protective devices. The Critical Clearing Time analysis of Wind Energy Conversion System on IEEE 14 bus is done in this work using Power System Analysis Toolbox. Using Time Domain Simulation, the rotor angle stability of the power system is investigated under stable and unstable conditions for determining ...Show More

Impact of Wind Energy Conversion System on Fault Clearance Time

P. Jayanthi;D. Devaraj

Year: 2024 | Conference Paper |

Design and Implementation of a Smart Switching System for Hybrid Energy System

S.Raja Mohamed;Abdullah Bubshait;Mohammed Alarfaj;P.Aruna Jeyanthy;D. Devaraj

2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)
Year: 2021 | Conference Paper |
Energy consumption is increasing rapidly due to growth in industries and residential areas. To reduce the number of outages and meet the demand in the electricity market, distributed energy (DG) sources can be installed in the distribution network. As the number of DGs is increasing, a controller is necessary to provide a switching strategy between hybrid energy systems. This paper proposes Smart ...Show More

Design and Implementation of a Smart Switching System for Hybrid Energy System

S.Raja Mohamed;Abdullah Bubshait;Mohammed Alarfaj;P.Aruna Jeyanthy;D. Devaraj

Year: 2021 | Conference Paper |

Hopf bifurcation based dynamic available transfer capability calculation in renewable integrated deregulated power system

M. Karuppasamypandiyan;P. Aruna Jeyanthy;D. Devaraj;V. Agnes Idhaya Selvi

2021 IEEE Madras Section Conference (MASCON)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
In order to plan the power transaction very securely, accurate calculation of Available Transfer Capability (ATC) is needed. Independent System Operator (ISO) will calculate the ATC and post the information in Open Access Same Time Information System at least one day before the transaction. The renewable energy sources such as wind and solar are currently gain high attention because of their free ...Show More

Hopf bifurcation based dynamic available transfer capability calculation in renewable integrated deregulated power system

M. Karuppasamypandiyan;P. Aruna Jeyanthy;D. Devaraj;V. Agnes Idhaya Selvi

Year: 2021 | Conference Paper |

Development of Fuzzy Logic Based Approach for Consumer Side Management in Smart Home

M. Krishna Paramathma;D. Devaraj;V. Agnes Idhaya Selvi;M. Karuppasamypandian

2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
Smart Grid environment requires the active participation of the consumer in terms of energy saving and shift the loads to off-peak period balance the power between source and load. In this situation, consumers' preferences, self-adjusting, and self-scheduling of the operation of home appliances drawing more attention because of difficulties in their manual adjustment. An autonomous scheduler is ne...Show More

Development of Fuzzy Logic Based Approach for Consumer Side Management in Smart Home

M. Krishna Paramathma;D. Devaraj;V. Agnes Idhaya Selvi;M. Karuppasamypandian

Year: 2021 | Conference Paper |

Optimal SoC Estimation Considering Hysteresis Effect for Effective Battery Management in Shipboard Batteries

J. Preetha Roselyn;Anirudhh Ravi;D. Devaraj;R. Venkatesan

IEEE Journal of Emerging and Selected Topics in Power Electronics
Year: 2021 | Volume: 9, Issue: 5 | Journal Article |
Cited by: Papers (24)
The energy storage is critical in shipboard systems since there is no alternate energy in case of primary energy source failure. Hence, a battery management system (BMS) is necessary to monitor the state of the battery. Since a BMS operates the battery based on its state, an accurate estimation of the state of charge (SoC) is essential. Hysteresis is predominantly present in lead–acid batteries, w...Show More

Optimal SoC Estimation Considering Hysteresis Effect for Effective Battery Management in Shipboard Batteries

J. Preetha Roselyn;Anirudhh Ravi;D. Devaraj;R. Venkatesan

Year: 2021 | Volume: 9, Issue: 5 | Journal Article |

A Novel Feature Selection Method Using Whale Optimization Algorithm and Genetic Operators for Intrusion Detection System in Wireless Mesh Network

R. Vijayanand;D. Devaraj

IEEE Access
Year: 2020 | Volume: 8 | Journal Article |
Cited by: Papers (72)
Machine learning-based intrusion detection system (IDS) is an important requirement for securing data traffic in wireless mesh networks. The noisy and redundant features of network data tend to degrade the performance of the attack detection classifiers. Therefore, the selection of informative features plays a vital role in the enhancement to the IDS. In this paper, we propose a wrapper-based appr...Show More

A Novel Feature Selection Method Using Whale Optimization Algorithm and Genetic Operators for Intrusion Detection System in Wireless Mesh Network

R. Vijayanand;D. Devaraj

Year: 2020 | Volume: 8 | Journal Article |

Deep Learning based Smart Meter Data Analytics for Electricity Load Prediction

J Jeyaranjani;D Devaraj

2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES)
Year: 2019 | Conference Paper |
Cited by: Papers (6)
In the smart grid era, Smart Meter data is playing a vital role. The residential load forecasting is one of the major issue that uses the Smart Meter data. It is high volatile load data due to its nature of variability in load pattern. The load pattern of every customer varies with respect to certain factors like demographic information, environmental factors, time stamp, etc. Load pattern-based c...Show More

Deep Learning based Smart Meter Data Analytics for Electricity Load Prediction

J Jeyaranjani;D Devaraj

Year: 2019 | Conference Paper |

RGA based Optimal Parameter Estimation of Diode Model for Solar Photo-Voltaic Array Emulator Development

M. Ulaganathan;D. Devaraj

2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
The research on Solar Photo-Voltaic (PV) based Energy Conversion (SPEC) system requires an expensive and composite experimental setup. Therefore, PV source emulator is an essential component to evaluate the performance of SPEC system source under varying environmental conditions. This paper presents the design and development of solar PV Array Emulator (PVAE) using Programmable DC power supply. Th...Show More

RGA based Optimal Parameter Estimation of Diode Model for Solar Photo-Voltaic Array Emulator Development

M. Ulaganathan;D. Devaraj

Year: 2019 | Conference Paper |

FLC based DC Link Voltage regulation in DFIG Driven Grid Connected Wind Energy Conversion System

P. Jayanthi;D. Devaraj

2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES)
Year: 2019 | Conference Paper |
The demand for wind power is increasing day by day as the fuel cost is zero. Nowadays the penetration of wind power into the grid is growing more and more. The grid integration of wind power causes undesirable stability as the wind speed is intermittent in nature. It is essential to investigate the DC Link capacitor voltage level as it ensures the constant output power at the Point of Common Coupl...Show More

FLC based DC Link Voltage regulation in DFIG Driven Grid Connected Wind Energy Conversion System

P. Jayanthi;D. Devaraj

Year: 2019 | Conference Paper |

Genetic Algorithm Based Approach for the Determination of Optimal Locations and Observability of Phasor Measurement Unit (PMU) Under Smart Grid Environment

M. Krishna Paramathma;D. Devaraj

2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES)
Year: 2019 | Conference Paper |
Cited by: Papers (6)
Phasor Measurement Units (PMU) are used to monitor, protect and control power system networks and have become increasingly essential in latest years. In this paper, Genetic algorithm-based method is suggested for optimal positioning of the phasor measurement device. Identifying optimal locations of PMU is a main problem in the implementation of PMU. Full observability and minimum number of PMU are...Show More

Genetic Algorithm Based Approach for the Determination of Optimal Locations and Observability of Phasor Measurement Unit (PMU) Under Smart Grid Environment

M. Krishna Paramathma;D. Devaraj

Year: 2019 | Conference Paper |

An Efficient Non-dominated sorting Genetic algorithm II (NSGA II) for Optimal Operation of Micro grid

M. Karuppasamypandiyan;P. Aruna Jeyanthy;D. Devaraj;V. Agnes Idhaya Selvi

2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
The paper deals with minimization of the economic problem occurs in a Microgrid. It is a technology arising now a day to satisfy the nearby load demand and to reduce the expenses. Generally, Microgrid consist of renewable resources such as Wind Turbine, Solar Panels, Fuel cell, Micro turbine, CHP etc. In case of crisis in emergency situations, Microgrid can be able to activate Diesel Engine genera...Show More

An Efficient Non-dominated sorting Genetic algorithm II (NSGA II) for Optimal Operation of Micro grid

M. Karuppasamypandiyan;P. Aruna Jeyanthy;D. Devaraj;V. Agnes Idhaya Selvi

Year: 2019 | Conference Paper |

Low Voltage Ride-Through Capability Enhancement of Grid-Connected Photovoltaic Systems- A Hybrid Control Approach

S. Raja Mohamed;P. Aruna Jeyanthy;D. Devaraj

2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
Under the demands of contemporary grid code (GC), the solar PV system should stay attached to the grid for a certain time period depend on the voltage sag level under the fault condition. The voltage of the point of common coupling (PCC) is very low when the fault appears on the grid side, resulting in a very high DC connection voltage for the power balance. This high voltage of the intermediate c...Show More

Low Voltage Ride-Through Capability Enhancement of Grid-Connected Photovoltaic Systems- A Hybrid Control Approach

S. Raja Mohamed;P. Aruna Jeyanthy;D. Devaraj

Year: 2019 | Conference Paper |

Generalized Multi-Level Inverter for Symmetrical and Asymmetrical Configurations with Reduced Switch Count

J. Preetha Roselyn;V. Kubendran;R. Amiruddin;D. Devaraj

2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
This paper presents a single phase symmetrical and asymmetrical multilevel inverter for generation of synthesizing a sinusoidal voltage with TSTSTD (Two Source Two Switches and Two Diode) circuit. This paper concentrates to generate the maximum stepped voltage with reduced number of dc sources. The proposed configuration needs less turned ON switches to get the desired level. The less turned on sw...Show More

Generalized Multi-Level Inverter for Symmetrical and Asymmetrical Configurations with Reduced Switch Count

J. Preetha Roselyn;V. Kubendran;R. Amiruddin;D. Devaraj

Year: 2019 | Conference Paper |

Power Quality Improvement with Minimum number of Switches using Fifteen Level Inverter

Geevarghese Mathew Kurian;P. Aruna Jeyanthy;D. Devaraj

2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES)
Year: 2019 | Conference Paper |
Heart of power system is power quality improvement. The harmonics are produced by power electronics devices. The harmonics and distortions produced by conventional inverters are reduced by using filters which in turn increases the size and cost of these equipment. The basic voltages can be modulated very accurately by using very small step size and making it suitable for utility. The desired A.C v...Show More

Power Quality Improvement with Minimum number of Switches using Fifteen Level Inverter

Geevarghese Mathew Kurian;P. Aruna Jeyanthy;D. Devaraj

Year: 2019 | Conference Paper |

Fault Prediction Model for Wind Energy Conversion Systems-A Neural Network Approach

S. N. Rekha;P. Aruna Jeyanthy;D. Devaraj

2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES)
Year: 2019 | Conference Paper |
This paper develops a Neural Network based implementation of the fault identification on the wind turbine model. The prediction algorithm that would predict the algorithm fault that occurs on the wind energy conversion system (WECS) is completely automated using the neural network (NN) algorithm. The fault occurring in the turbine, drive train and the converter is considered, and the automation is...Show More

Fault Prediction Model for Wind Energy Conversion Systems-A Neural Network Approach

S. N. Rekha;P. Aruna Jeyanthy;D. Devaraj

Year: 2019 | Conference Paper |

Enhancement of LVRT Capability in Grid Connected Wind Energy Systems using Crowbar

P. Jayanthi;D. Devaraj

2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES)
Year: 2019 | Conference Paper |
Cited by: Papers (5)
This work handles the improvement of LVRT competency of double-fed induction generator (DFIG) driven grid-integrated wind energy conversion systems (WECS) using crowbar. In this paper, a series crowbar resistance with an IGBT is recommended to enhance the Fault-Ride-Through ability of the 1.5 MW WECS and also the low voltage ride through testing device is also simulated. The simulation results dem...Show More

Enhancement of LVRT Capability in Grid Connected Wind Energy Systems using Crowbar

P. Jayanthi;D. Devaraj

Year: 2019 | Conference Paper |

On-Line Estimation of ATC Using Neural Network With Selective Features

V. Agnes idhayaselvi;D. Devaraj;A. Sheela;M. Karuppasamypandiyan

2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
In any power system with deregulated environment, the capability of transferring power -ATC of the system needs to be updated every hour or every day. This will help market participants to plan their transmission transactions. The existing methods of calculating ATC need large computational time, as well as they are not effective for online techniques. Hence, it is significant to evaluate ATC valu...Show More

On-Line Estimation of ATC Using Neural Network With Selective Features

V. Agnes idhayaselvi;D. Devaraj;A. Sheela;M. Karuppasamypandiyan

Year: 2019 | Conference Paper |

An Effective AVR-PSS Design for Electromechanical Oscillations Damping in Power System

K.M. Sreedivya;P. Aruna Jeyanthy;D. Devaraj

2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES)
Year: 2019 | Conference Paper |
Cited by: Papers (7)
AVR stabilizes the terminal voltage of generator by controlling the exciter voltage. Fast action of AVR exciter module may cause negative damping of the system .With the presence of PSS, the oscillation occurred due to sudden AVR action has been suppressed. This paper emphasis the importance of AVR- PSS model in power system for damping the low frequency oscillation. The proposed model has been te...Show More

An Effective AVR-PSS Design for Electromechanical Oscillations Damping in Power System

K.M. Sreedivya;P. Aruna Jeyanthy;D. Devaraj

Year: 2019 | Conference Paper |

Smart Meter Data Analytics for Load Prediction using Extreme Learning Machines and Artificial Neural Networks

S. M. Sulaiman;P. Aruna Jeyanthy;D. Devaraj;S. Sheik Mohammed;K. V. Shihabudheen

2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES)
Year: 2019 | Conference Paper |
Cited by: Papers (6)
Load forecasting is one of the essential component in Smart Grid operation as it plays a significant role in making decisions such as planning, generation scheduling and operation, electricity pricing, customer satisfaction and system security. The date old load forecasting problem has received renewed efforts due to the arrival of Smart Meters in the Smart Grid system. Residential load forecastin...Show More

Smart Meter Data Analytics for Load Prediction using Extreme Learning Machines and Artificial Neural Networks

S. M. Sulaiman;P. Aruna Jeyanthy;D. Devaraj;S. Sheik Mohammed;K. V. Shihabudheen

Year: 2019 | Conference Paper |

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