Published October 27, 2016 | Version v1
Journal article Open

An Interoperable Approach for Energy Systems Simulation: Electricity Market Participation Ontologies

  • 1. Polytechnic Of Porto
  • 2. Polytechnic of Porto

Description

Electricity markets are complex environments with very particular characteristics. Some of the main ones for this complexity are the need for an adequate integration of renewable energy sources and the electricity markets’ restructuring process. The growth of simulation tool usage is driven by the need to understand those mechanisms and how the involved players’ interactions affect the markets’ outcomes. Several modelling tools directed to the study of restructured wholesale electricity markets have emerged. Although, they share a common limitation: the lack of interoperability between the various systems to allow the exchange of information and knowledge, to test different market models and to allow players from different systems to interact in common market environments. This paper proposes the use of ontologies for semantic interoperability between multi-agent platforms in the scope of electricity markets simulation. The achieved results allow the identification of the added value gained by using the proposed ontologies. They facilitate the integration of independent multi-agent simulators, by providing a way for communications to be understood by heterogeneous agents from different systems.

Notes

The present work has been developed under the EUREKA-ITEA2 Project SEAS (ITEA-12004) and H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794) and has also received funding from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013.

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Funding

Fundação para a Ciência e Tecnologia
UID/EEA/00760/2013 - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development 147448
European Commission
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