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Democratizing energy markets through flexibility-baseddemand response optimization services

Authors: Tsatsakis, K.; Tsitsanis, T.; Kousouris, S.; Papadopoulos, G.;

Democratizing energy markets through flexibility-baseddemand response optimization services

Abstract

Today, the energy system is largely driven from the perspective of suppliers and only a few consumers are able to track their energy use or actively participate in the market. The possibilities for larger commercial and industrial consumers have started to develop and active consumer engagement in Demand Response programmes is gaining traction, nevertheless this is not the case for residential consumers. While the participation of European residential and small commercial/industrial users, accounting for ca. 70% of final electricity consumption, there is still limited access from the end users in energy markets. Within this context, we present an end-to-end Automated Demand Response Optimization Framework, towards incorporating innovative and highly effective tools to enable dynamic VPPs formation which will further allow for energy customers and cooperatives to introduce themselves in energy markets. Optimization in the proposed framework applies to multiple levels. It spans local generation output, demand and storage flexibility, as well as the flexibility offered by EVs (in their dual role as demand and storage assets) to facilitate maximum RES integration into the grid, avoidance of curtailment and satisfaction of balancing and ancillary grid needs. The overall framework is tested in several demo sites in Europe and the preliminary results from this evaluation process are reported in this document.

Keywords

virtual power plant, energy community, demand response, aggregator, energy cooperatives, renewable energy

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selected citations
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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).
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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.
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