Proposing a linear stochastic model to determine the optimal speed of ship with electric propulsion system with the aim of minimizing the energy production cost
In order to reduce the cost of electric power generation and also reduce greenhouse gas emissions in ships with electric propulsion system, renewable energy resources and energy storage systems are used along with thermal units. Therefore, in this paper, a stochastic mixed integer linear model has been suggested for optimal management of electrical energy of a ship with electric propulsion system, energy storage, heat generators and renewable solar resources with the aim of minimizing the cost of electricity production and determining the optimal ship speed. In this paper, the Monte Carlo simulation method is used to model the uncertainty in predicting the solar power and the ship's electric load. The proposed model is implemented and analyzed in GAMS optimization software. The simulation results show the efficiency of the proposed model and the introduced energy management strategy.
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Planning of Fast Charging Station for Electric Vehicles Equipped With Renewable Energy Sources and Energy Storage System Considering Economic and Environmental Objectives
Hannaneh Baghaei, Meisam Jaafari *,
Journal of Modeling in Engineering, -
Resiliency improvement of distribution network considering the charge/discharge management of electric vehicles in parking lots through Bi-level optimization approach
*, Meysam Jafari, Majid Shahabi
Journal of Iranian Association of Electrical and Electronics Engineers,