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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Croatian Scientific ...arrow_drop_down
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Grid and Dispatch in South Eastern Europe

Authors: Milinković Turalija, Ivana; Mikulić, Martina; Balić, Dražen;

Grid and Dispatch in South Eastern Europe

Abstract

In present paper research results obtained within framework of H2020 REEEM project are given. PLEXOS Simulation Software is used to develop model of power systems in five South East Europe (SEE) EU member states - Bulgaria, Croatia, Hungary, Romania and Slovenia. The aim of the research was to investigate if results obtained from a long-term energy system planning model are feasible and realistic in the scope of short-term modelling with an hourly time step for one selected year (2030). According to the outline of the REEEM project, several EU transition pathways are developed. Results of Integrated European Systems Model based on TIMES PanEU for Base and HighRES pathways are used as inputs to PLEXOS. In terms of scope of this research, HighRES pathway represents a greater challenge for grid and dispatch analysis compared to Base pathway, due to higher electricity demand and lower installed generation capacities in SEE region. Three scenarios are developed under each pathway according to different assumed constraints on electricity generation and cross-border electricity exchange. In total, six scenarios are analysed in order to verify feasibility of grid and dispatch on an hourly level, and also to compare results of short- term power system optimization with long-term energy system optimization. Results of all analysed scenarios show that power system in SEE region in 2030 can be dispatched on the hourly level. Paper also addresses the differences in modelling results of short-term optimization of power system compared to long- term optimization of entire energy system. Aside from the conclusions on grid and dispatch for all analysed scenarios, key messages regarding feasibility and influence of Base and HighRES pathways on power systems of SEE region are extracted in the paper.

Country
Croatia
Keywords

Power system ; energy system ; grid and dispatch ; short-term optimization ; long-term model validation ; PLEXOS

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average