Browsing EECS Faculty Scholarship by Author "Aravinthan, Visvakumar"
Now showing items 1-20 of 40
-
ALARM: average low-latency medium access control communication protocol for smart feeders
Heidari-Kapourchali, Mohammad; Balachandran, Thanatheepan; Aravinthan, Visvakumar; Namboodiri, Vinod; Chen, Guo (Institution of Engineering and Technology-IET, 2016-08-04)The smart distribution system initiative requires higher usage of a distribution feeder-level communication infrastructure to improve system automation. This study proposes a hybrid medium access control (MAC) protocol to ... -
Analysis of large scale distributed generation on radial distribution system: case study in Sri Lanka
Sivagnanam, Maheesa; Selvanayagam, Subaranjany; Thiruvaran, Tharmarajah; Vinothine, Shanmugarajah; Nandasiri, Nimanthi Upeka; Aravinthan, Visvakumar (IEEE, 2019-10)Large-scale penetration of distributed resources is becoming a reality in many parts of the world. Large scale renewable distributed generation has challenges at the distribution level and significant work is done to ... -
Benefit assessment of water-heater management on residential demand response: an event driven approach
Gholizadeh, Abbas; Aravinthan, Visvakumar (IEEE, 2016)Analysis, modeling and development of residential demand response schemes are vital for the next generation active distribution systems. Among residential level deferrable loads thermally controllable loads have shown a ... -
Component reliability evaluation in the presence of smart monitoring
Heidari-Kapourchali, Mohammad; Aravinthan, Visvakumar (IEEE, 2013)Smart sensors and monitoring technologies are beginning to penetrate different levels of the power system. In a smart grid scenario, the operational condition of components needs to be reported to the control center, in ... -
Controlled electric vehicle charging for mitigating impacts on distribution assets
Aravinthan, Visvakumar; Jewell, Ward T. (IEEE, 2015-03)This paper proposes a two-step methodology for scheduling electric vehicle (EV) charging, which limits the burden on distribution and transmission assets while ensuring all the vehicles are charged. In the first step, the ... -
Demand side management for residential consumers considering distribution system requirements
Gomes, Thanappuhettige Nipuna Mihiranga; Nandasiri, Nimanthi Upeka; Don, Anton H.; Aravinthan, Visvakumar (IEEE, 2021-04-11)One of the focus areas of the smart-grid initiative is the residential level demand response. Recent surveys have analyzed price-responsive demand response optimization, mathematical modeling of demand response, responsive ... -
A diversity-based clustering technique for implementing decentralized node level charge scheduling of electric vehicles
Shek, Chak Lam; Manoharan, Arun Kaarthick; Gampa, Srikanth; Chandrappa, Thejas; Aravinthan, Visvakumar (IEEE, 2019-10)The number of Electric Vehicles in usage has been increasing and this trend creates a lot of challenges to the existing power grid. The advancements in the communication and control infrastructure have made applications ... -
Dynamic line parameter estimation using synchrophasor measurements
Hettiarachchige-Don, Anton C. Sameepa; Aravinthan, Visvakumar; Jewell, Ward T.; Westervelt, Shawn (IEEE, 2016)This paper proposes a novel methodology for the calculation and estimation of transmission line impedance with the use of real time data from synchrophasor measurement units. Current synchrophasor standards do not provide ... -
Electric vehicles as configurable distributed energy storage in the smart grid
Pang, Chengzong; Aravinthan, Visvakumar; Wang, Xiaoyun (IEEE, 2014-03-11)Studying the impact of PHEVs/BEVs is quite complex since no other approach before had the unique capability of acting as dispersed and yet mobile energy storage that may be aggregated at different scales. This paper aims ... -
Estimation of missing transmission line reactance data using multiple linear regression
Hettiarachchige-Don, Anton C. Sameepa; Aravinthan, Visvakumar (IEEE, 2017)This paper explores the use of Multiple Linear Regression techniques in order to estimate sections of missing line reactance data sometimes found in the data received from synchrophasor measurement units. The high correlation ... -
A fast AC power flow model based distribution voltage regulation
Hakmi, Sultan H.; Aravinthan, Visvakumar (IEEE, 2019-03-11)The power distribution system is undergoing changes and the need for real-Time control is increasing. This paper uses AC power flow equations (ACPF) to find the relationship between voltage change and Renewable Energy ... -
Fault detector and switch placement in cyber-enabled power distribution network
Heidari-Kapourchali, Mohammad; Sepehry, Mojtaba; Aravinthan, Visvakumar (IEEE, 2018-03)Cyber-enabled operation is needed for smart distribution system implementation. The interaction of cyber and power components will affect system reliability. This paper focuses on developing an analytical reliability model ... -
Feeder level linear voltage drop model for active radial distribution system operation in the presence of distributed generation
Deshmukh, Aasheesh; Ur Rahman, Md Rakib; Aravinthan, Visvakumar (IEEE, 2019-10)In active distribution system, distributed generators require voltage drop management and power loss minimization. This paper proposes a voltage drop model and optimal management model for voltage drop and power loss ... -
Feeder level power loss reduction through reactive power control with presence of distributed generation
Ravindran, Vinoth Kumar; Aravinthan, Visvakumar (IEEE, 2013)Distributed generation is one of the biggest changes that the power industry is facing with the mitigation of greenhouse gases and the smart grid initiative. With the presence of a communication infrastructure, it is ... -
Feeder-level fault detection and classification with multiple sensors: a smart grid scenario
Wang, Nan; Aravinthan, Visvakumar; Ding, Yanwu (IEEE Conference Publications, 2014)The smart grid initiative requires self-healing distribution systems with more accurate fault detection and classification techniques. A multi-sensor feeder-level fault detection and classification algorithm is presented ... -
Five heads are better than one: an interdisciplinary graduate course on Smart Grids: lessons, challenges, and opportunities
Namboodiri, Vinod; Aravinthan, Visvakumar; Joseph, Siny; Sawan, M. Edwin; Jewell, Ward T. (IEEE-INST Electrical Electronics Engineers Inc, 2013-01)According to the U.S. Department of Energy (DOE ), “Smart grid generally refers to a class of technology people are using to bring utility electricity delivery into the 21st century, using computer-based remote control and ... -
Fuzzy Theory based Distributed Power Flow Conditioner to enhance power system dynamic stability
Renduchintala, Uday Kishan; Pang, Chengzong; Mittapally, Sravan Kumar; Aravinthan, Visvakumar (IEEE, 2019-03-14)This paper discusses about improving power system stability by employing a Fuzzy Theory based Distributive Power Flow Conditioner (DPFC). The goal of the work presented in this paper is to design an oscillation damping ... -
Impact of smart home management strategies on expected lifetime of transformer
Mohsenzadeh, Amin; Heidari-Kapourchali, Mohammad; Pang, Chengzong; Aravinthan, Visvakumar (IEEE, 2016)Low voltage transformers are the most important and expensive assets in a power distribution system. The life time of a mineral-oil-immersed transformer is decreased by raising the Hottest Spot Temperature (HST) in peak ... -
Impacts of demand-control time period on distribution system and consumer comfort
Khan, Muhammad-Usman; Aravinthan, Visvakumar (IEEE, 2016)Demand response (DR) is one of the central pieces of the smart grid initiative. Several DR schemes have been proposed in the literature. This work focuses on determining the benefits of DR to the power grid and the associated ... -
Life time analysis of distribution transformer using experimental design
Heidari-Kapourchali, Mohammad; Mohsenzadeh, Amin; Sepehry, Mojtaba; Aravinthan, Visvakumar; Pang, Chengzong (IEEE, 2016)This paper presents a 24 factorial design to analyze the joint effect of loading, cooling characteristics, ambient temperature, and Oil Time Constant (OTC) on transformer Loss of Life (LOL). Transformer LOL is calculated ...