Published March 11, 2019 | Version v1
Conference paper Open

Dynamic electricity tariff definition based on market price, consumption and renewable generation patterns

  • 1. GECAD research group, Polytechnic of Porto (ISEP/IPP), Porto, Portugal
  • 2. BISITE research group, University of Salamanca, Salamanca, Spain
  • 3. Polytechnic of Porto, Porto, Portugal
  • 4. UTAD – Universidade de Trás-os-Montes e Alto-Douro

Description

The increasing use of renewable energy sources and distributed generation brought deep changes in power systems, namely with the operation of competitive electricity markets. With the eminent implementation of micro grids and smart grids, new business models able to cope with the new opportunities are being developed. Virtual Power Players are a new type of player, which allows aggregating a diversity of entities, e.g. generation, storage, electric vehicles, and consumers, to facilitate their participation in the electricity markets and to provide a set of new services promoting generation and consumption efficiency, while improving players' benefits. In order to achieve this objective, it is necessary to define tariff structures that benefit or penalize agents according to their behavior. In this paper a method for determining the tariff structures has been proposed, optimized for different load regimes. Daily dynamic tariff structures were defined and proposed, on an hourly basis, 24 hours day-ahead from the characterization of the typical load profile, the value of the electricity market price and considering the renewable energy production.

Notes

This work has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 641794 (project DREAM-GO); and from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013

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Additional details

Funding

UID/EEA/00760/2013 – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development 147448
Fundação para a Ciência e Tecnologia
DREAM-GO – Enabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach 641794
European Commission