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Virtual Storage-Based Model for Estimation of Economic Benefits of Electric Vehicles in Renewable Portfolios (CROSBI ID 279170)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Vasilj, Josip ; Jakus, Damir ; Sarajcev, Petar Virtual Storage-Based Model for Estimation of Economic Benefits of Electric Vehicles in Renewable Portfolios // Energies (Basel), 13 (2020), 9; 1-19. doi: 10.3390/en13092315

Podaci o odgovornosti

Vasilj, Josip ; Jakus, Damir ; Sarajcev, Petar

engleski

Virtual Storage-Based Model for Estimation of Economic Benefits of Electric Vehicles in Renewable Portfolios

The expected increase in the presence of electric vehicles raises numerous questions regarding their impact on the market relations. Depending on the agreement between the involved parties, the position of EVs changes from passive (traditional role) to active. Active EVs are beneficial for variability and uncertainty- intense modern power systems. To enable this transition, a suitable framework in the form of agreements is required in order to establish the terms and responsibilities. Following the presented agreements, we propose a novel method for evaluation of the benefits that the newly added EVs bring to the portfolio. The method comprises two steps, a Monte Carlo simulation of the EV driving/charging patterns and an optimization model for market related decision making. The method results in the estimates on economic savings resulting from adding EVs to portfolios. An illustrative example is used in order to give an idea of the range of the benefits.

Market aggregator ; EV fleet management ; Virtual storage ; Monte Carlo simulation ; Stochastic optimization

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Podaci o izdanju

13 (9)

2020.

1-19

objavljeno

1996-1073

10.3390/en13092315

Povezanost rada

Elektrotehnika

Poveznice
Indeksiranost