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Master Thesis Electricity markets simulaiton of Day-Ahead price formation in 2030 with large share of batteries (incl V2G) acting and competing with each other and itself

Home Page: https://scholar.google.com/citations?view_op=view_citation&hl=nl&user=07iloVQAAAAJ&citation_for_view=07iloVQAAAAJ:eQOLeE2rZwMC

MATLAB 99.35% Python 0.23% Rich Text Format 0.42%
day-ahead-market electricity-prices timeseries-analysis v2g

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v2g-day-ahead_2030's Issues

use different merit-order for 2030 situation

fossil merit-order is not the same, since gas and coal plants will run less in 2030, prices need to be higher to fullfill their CAPEX cost. CO2 EU ETS costs will also be higher, maybe not significantly, possibly both €110/tCO2, or else: 2022: €~80/tCO2, and 2030: €90-150/tCO2.

2022 scenario peak PV production is too low

too much DC/AC fixed in. the model, in reality this is less, so spikes are higher

since currently only 10GW max occurs with 14.8GWp in model

in reality it will be closer to 12 or so - so task: reduce flexibility dc/ac ratio of pv in ETM and export data set again

charge and discharge at the same moment

Schermafbeelding 2022-04-12 om 10 01 40

this should not be allowed, or can it?

at least V2G charging to below demand curve is not allowed since it is wanted to only use excess renewable power available and not charge V2G on fossil residual load

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