Turkish Journal of Electrical Engineering and Computer Sciences




Connecting multiple electric vehicles (EVs) to a power system network for the purpose of charging has major setbacks like decrease in power quality, instability in voltage profile, and increase in power losses and thus electricity price. This paper focuses on devising an optimal charging scheme to reduce the negative impacts of EVs' presence in the distribution network by limiting the charging process to only off-peak demand periods when the electricity price is comparatively lower. The salp swarm algorithm, an efficient, fast, and reliable optimization technique, is used to obtain the optimal locations for the EVs and their charging schedule in a residential 107-bus radial distribution system (RDS). The proposed optimization technique minimizes the total charging cost of the EVs within the framework of operational constraints of a residential RDS and parking availability. This charging scheme takes care of benefit maximization from both consumer and power supply operators' perspectives by controlling the starting time of EV charging as well as the EV charging rate in order to arrive at the objective.


Electric vehicle, distribution system, salp swarm algorithm, smart charging

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