Publication Type:

Conference Paper


Smart Grid Technologies - Asia (ISGT ASIA), 2015 IEEE Innovative, IEEE (2015)



Accession Number:




Carbon dioxide, coordinated charging-discharging strategy, cost reduction, Distributed energy resource, distributed EVs scheduling, Distributed generation (DG), Distributed power generation, Electric vehicles, Electric vehicles (EVs), emission suppression, hourly operational cost minimization, modified 33 bus distribution system, operational cost reduction, optimal day ahead scheduling, Optimization, Particle Swam Optimization, Particle swam optimization (PSO), particle swarm optimisation, Power demand, power distribution economics, power generation economics, power generation scheduling, power market price, power markets, PSO, Schedules, SDN, smart distribution network, Smart distribution network (SDN), Smart power grids


This paper presents an optimal day ahead schedule for a smart distribution network (SDN) using Electric vehicles (EVs) as one of the distributed energy resource (DER) in accordance with the variation in power market price. To avoid the adverse effect of massive EV integration on SDN, a coordinated charging/discharging strategy is worked out. Thus, the main objective is to minimize the hourly operational cost of the SDN by ensuring a cleaner, socially responsible and sustainable generation of electricity. The bilateral role of EVs as supplier and consumer of energy is evaluated in context of reducing the operational cost and suppressing the emissions. In this way, an objective is formulated and tackled using Particle swam optimization (PSO). A modified 33 bus distribution system with 2000 EVs are used to validate the proposed approach.

Cite this Research Publication

M. P. Anand, Mohan, V., Ongsakul, W., and Suresh, M. P. R., “Optimal day ahead scheduling of distributed EVs in a smart distribution network”, in Smart Grid Technologies - Asia (ISGT ASIA), 2015 IEEE Innovative, 2015.