Abstract
In this paper mathematical model for traffic pattern analysis, prediction and resource utilization of Electric Vehicles (EV) in aggregator regions/parking lot zones is proposed. The proposed and presented mathematical model for EV traffic pattern/resource utilization in smart city can be used to estimate the amount of power/voltage available/required by EVs in different aggregator regions. Development of multiagent communication (MAC) based framework for aggregator to EV communication is discussed. V2G aggregation in distribution network forms a Physical part and utility side with sensing/communication forms a Cyber part which combinedly constitutes a Cyber-Physical system. Simulations were carried out on IEEE 33/69 bus test systems using MATLAB and MOBILE C was used for MAC. The results obtained were promising in terms of improved voltage profile and reduced power losses.
About the authors
Dr. Santoshkumar Hampannavar is Professor in School of Electrical and Electronics Engineering, REVA University. He completed Bachelors in Electrical and Electronics Engineering from Karnatak University Dharwad and holds Master’s degree in Digital Electronics form Amravati University, Amravati. He obtained PhD degree from National Institute of Technology Karnataka (NITK) Surathkal in 2016 and received MHRD fellowship from Jan 2013 to Aug 2015 during PhD studies. He has involved in teaching and research since last 18 years and has more than 30 research publications in peer reviewed indexed journals (Scopus/Web of Science/Clarivate Analytics) and flagship conferences as a first author. He was elevated to Senior Member IEEE in August 2015 and has bagged three BEST PAPER AWARDS in IEEE Conferences. He acted as session chair in many IEEE flagship conferences and presently serving as Editor for LNEE Springer Nature. He was module coordinator and delivered specialised lecture on V2G in a Training Programme on ‘Electric Vehicles’ organised by MNIT Jaipur and IIT Guwahati sponsored by MeITY, New Delhi. He is guiding PhD students in Addis Ababa Science and Technology University, Ethiopia. His areas of research interest include Power System Communication, Smart Grid, Vehicle-to-Grid (V2G), Deregulated Power System, Energy Market, Cyber Physical Systems for Power Distribution Networks, DSP for Power System Applications, Stochastic Modelling of Intermittent Renewable Energy Resources.
Dr. Suresh Chavhan is presently working as Senior Assistant Professor, Automotive Research Center, VIT University, Vellore, India since June 2019. He received PhD degree from Indian Institue of Science, Bengaluru, India in the year 2019 and has contributed more than 10 research articles in peer reviewed indexed journals. His research interest includes ITS, Emergent Intelligence, VANET etc.
Dr. Swapna Mansani is serving as an Assistant Professor in the Department of Electrical Engneering, National Institute of Technology, Silchar, Assam, India. She obtained Masters and Doctorate degrees both from National Institute of Technology Karnataka, Surathkal, India. She topped in Masters program and has served as Assistant Engineer in Telagana State Power Generation Corporation Limited, Hyderabad for 3 years. She has contributed more than 15 research papers in peer reviewed Journals/Conferences. Her research interests lies in Smart Distribution Network and Smart Grid.
Prof. Udaykumar R Yaragatti is currently the Director of Malaviya National Institute of Technology, Jaipur and Professor (on-lien) at the Department of Electrical and Electronics, National Institute of Technology Karnataka. Their current project is 'Investigation and control of hybrid multilevel inverter topologies with reduced part count. He is a Senior Member of IEEE, Life Member, ISTE; Life Member, SESI; Life Member, IE; Fellow, ISLE.He has completed 5 research projects and contributed around 200 plus research papers in peer reviewed Journals and conferences.He research nterests include Poer Eectronics, Smart grid, Renewable Energy.
Nomenclature
- Abbreviations
- A
Aggregator
- GEV
Gridable electric vehicle
- EV
Electric Vehicle
- Grid Control Center MU
Control and Monitoring Unit
- MAC
Multiagent communication
- SA
Static agent
- MA
Multi-agent
- V2G
Vehicle-to-Grid
- Variables
- G
State of grid control center
- A
State of an aggregator
- E1..En
n number of EVs.
- B
Buying unit
- S
Selling Unit
- Preq
Grid control center requests power from Aggregator
- Pres
Response from the aggregator to the grid
- 1– Preq
is the probability of moving MA from A toEV1
- Pe1 … Pe(n-1)
is the probability of moving MA from state
- P1-Pn
is the probability of moving EVA from E1to Ento selling unit or buying unit.
- πG
steady state probability of Grid control centrer
- πn
is the steady state probability of a nth EV
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