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EN
The paper presents a model to coordinate the predictive-preventive maintenance process of Offshore Wind Farm (OWF) with optimal Vessel Fleet (VF) size support system. The model is presented as a bi-level problem. On the first level, the model coordinates the predictive-preventive maintenance of the OWF and the distributed Power System minimizing the risk of Expected Energy not Supply (EENS). The risk is estimated with a sequential Markov Chain Monte Carlo (MCMC) simulation model. On the second level the model determining the optimal fleet size of vessels to support maintenance activities at OWF.
EN
For urban electric buses, it is important to develop a schedule for fast charging of batteries as a function of existing operating conditions. The paper presents a model for the optimization of charging process of electric bus batteries in the electric vehicle charging station system on their routes, with a determined structure. The place and time of battery charging are selected as a function of the existing bus operating conditions, assessment of the battery charge level and location in the transport urban infrastructure, using the Monte Carlo simulation approach. The aim of the article is to optimize the speed of electric buses with the use of cloud computing aimed at the collision-free use of a limited number of charging stations for electric vehicles on their routes and minimizing the total energy demand.
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