Authors:
Iván S. Razo-Zapata
1
;
Mihail Mihaylov
2
and
Ann Nowé
2
Affiliations:
1
Luxembourg Institute of Science and Technology, Luxembourg
;
2
Vrije Universiteit Brussel, Belgium
Keyword(s):
Smart Grid, Multi-Agent Systems, Load Shifting, Storage.
Related
Ontology
Subjects/Areas/Topics:
Energy and Economy
;
Energy Management Systems (EMS)
;
Energy-Aware Systems and Technologies
;
Renewable Energy Resources
Abstract:
The smart grid concept offers an opportunity to design new environmentally friendly energy markets for reducing
CO2 emissions. To achieve this goal, we should increase the use and penetration of green energy while
softening our dependency on gray (non-environmentally friendly) energy too. In this work we show how load
shifting and storage can be incorporated into new energy markets to reduce gray energy consumption. We
used multi-agent-based simulations that are fed with real data to analyze the influence of load shifting and
storage to reduce gray energy demand as well as the behaviour of prices for gray and green energy. Results
suggest that reduction in gray energy consumption is feasible during peak times, i.e. up to 15%. Nonetheless,
if the amount of renewable resources is increased 50%, higher reductions can be achieved, i.e. up to 30%.
Furthermore, one of the findings also suggests that storage helps to keep the price of green energy low.