Optimal dispatch of vehicle-to-grid (V2G) battery storage using p-ELECTRE method and its impact on optimal scheduling of DGs in distribution system

Chandrasekhar Yammani, Pankaj Prabhat*, Keshav Dahal

*Corresponding author for this work

Research output: Contribution to journalArticle


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.
Original languageEnglish
JournalElectric Power Components and Systems
Early online date29 Sep 2019
Publication statusE-pub ahead of print - 29 Sep 2019



  • Distributed generations (DGs)
  • Electric vehicles (EVs)
  • Vehicle-to-grid (V2G)
  • BAT optimization algorithm
  • Optimal DG scheduling

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