Scheduling and operation of RES-based virtual power plants with e-mobility: A novel integrated stochastic model

Publications - ISI Article

Scheduling and operation of RES-based virtual power plants with e-mobility: A novel integrated stochastic model

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#Charging stations #Energy Market #Renewable Energy #Transportation, Electric Mobility

Publications - ISI Article

Scheduling and operation of RES-based virtual power plants with e-mobility: A novel integrated stochastic model

An energy management system for a virtual power plant that optimizes supply in the market and considers renewable sources is presented. The approach has been shown to increase profits by 23% compared to a non-optimized strategy and by 6% compared to deterministic optimization.

In the present paper, an Energy Management System is proposed to optimally schedule and operate a Virtual Power Plant (VPP) composed of charging stations for e-vehicles, stationary batteries, and renewable energy sources. The model is capable to optimize the bidding process on the Day-Ahead Market (DAM) through a twostage stochastic formulation, which considers the uncertainties affecting the evaluation of the energy required for the next day.

The stochastic scenarios are generated through a Monte Carlo procedure and clustered by a reduced domain k-means algorithm. To manage in real-time the operation of the VPP, a new Rolling Horizon mixedinteger linear programming model is adopted. The effectiveness of the tools developed is proved by numerical simulations reproducing the different operating conditions of the VPP.

The benefits of the approach are confirmed by extensive analyses performed over a 4-month period. An increase of the profits of 23 % compared to a non-optimized strategy and of 6 % with respect to a deterministic optimization is observed.

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Publications - ISI Article

Scheduling and operation of RES-based virtual power plants with e-mobility: A novel integrated stochastic model

Publications - ISI Article

Scheduling and operation of RES-based virtual power plants with e-mobility: A novel integrated stochastic model

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