![Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5933/TOC-Subject-Sample-2021-Engineering-Tech.jpg"})
Abstract
In recent past, the number of electric vehicles (EVs) have increased significantly due to their various advantages to environment. With the proper charging and discharging of EVs with vehicle-to-grid (V2G), electrical system can get controllable storage/generations and at the same time, EV owners can earn profits. This paper presents a novel dispatch strategy to determine, when and at what rate EV battery should charge/discharge in order to maximize profits to EV owners and responding to power system’s requirements while considering the effect of renewable DG power availability. This objective depends on many criteria like buying and selling price of energy, battery state of charge (SoC), Renewable DG power availability, and load leveling. To solve these, a new multi-criteria decision analysis method, Probabilistic Elimination and Choice Expressing Reality (p-ELECTRE), is developed. The proposed optimal dispatch strategy is applied to 100 and 200 EV fleets with random travel plan. Further, the effect of these fleets with optimal dispatch strategy is tested on IEEE 33 bus distribution system with added DGs. Furthermore, optimal power dispatch of DGs in EV-rich distribution system is obtained by BAT optimization algorithm (BOA). The simulation results demonstrate the feasibility and benefits of the proposed technique.
Additional information
Notes on contributors
Chandrasekhar Yammani
Chandrasekhar Yammani received the B.Tech degree in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University, Hyderabad, India, in 2007. He possesses M.Tech and Ph.D. Degrees in Power Systems Engineering from the National Institute of Technology Warangal (NITW), Warangal, India, in 2009 and 2015, respectively. In 2012, he joined the National Institute of Technology, Warangal, India, as an Assistant Professor in Electrical Engineering Department. His research areas are power system operation and control, planning studies of distribution generation, and renewable energy resources in power systems, smart grids, microgrids, optimization techniques, meta-heuristic techniques, fast EV charging stations, blockchain technologies to smart grid, power system reliability, and resilience studies of power systems.
Pankaj Prabhat
Pankaj Prabhat received the B.Tech degree in Electrical Engineering from National Institute of Technology, Rourkela (NITRkl), India, in 2015. He received the M.Tech degree in Power Systems Engineering at National Institute of Technology Warangal (NITW), Warangal, India in 2018. His research interests include optimization techniques to power and distribution systems, smart grids, microgrids, vehicle to grid, energy storage, meta-heuristic techniques, distribution generation, and reliability studies of power systems.
Keshav Dahal
Keshav Dahal received the Ph.D. and M.S. degrees from Strathclyde University, UK, in 2000 and 1996, respectively. He is currently the Leader of the Artificial Intelligence, Visual Communication and Networks Research Centre, University of the West of Scotland, Hamilton, UK. Prior to this, he was with the University of Bradford and the University of Strathclyde, UK. He has extensive experience in research supervision and management of funded projects. He has been the Principal/Co-Investigator of 15 EU/UK/industry-funded projects. He has successfully supervised the completion of over 20 postdoctoral/doctoral studies. He has authored or co-authored over 125 peer-reviewed journal/conference papers and three edited books. He was on organizing program committees of over 60 reputed international conferences, including the general chair of a number of conferences. His research interests include computational intelligence, big data, scheduling/optimization, and trust/security modeling in distributed systems.