Published April 28, 2020 | Version v1
Journal article Open

Application Ontology for Multi-Agent and Web-Services' Co-Simulation in Power and Energy System

  • 1. Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Institute of Engineering, Polytechnic Institute of Porto, Porto, Portugal
  • 2. Polytechnic Institute of Porto, Porto, Portugal
  • 3. Bioinformatics, Intelligent Systems, and Educational Technology (BISITE) Research Group, University of Salamanca, Salamanca, Spain

Description

Power and energy systems are very complex, and several tools are available to assist operators in their planning and operation. However, these tools do not allow a sensitive analysis of the impact of the interaction between the different sub-domains and, consequently, in obtaining more realistic and reliable results. One of the key challenges in this area is the development of decision support tools to address the problem as a whole. Tools Control Center - TOOCC - proposed and developed by the authors, enables the co-simulation of heterogeneous systems to study the electricity markets, the operation of the smart grids, and the energy management of the final consumer, among others. To this end, it uses an application ontology that supports the definition of scenarios and results comparison, while easing the interoperability among the several systems. This paper presents the application ontology developed. The paper addresses the methodology used for its development, its purpose and requirements, and its concepts, relations, facets and instances. The ontology application is illustrated through a case study, where different requirements are tested and demonstrated. It is concluded that the proposed application ontology accomplishes its goals, as it is suitable to represent the required knowledge to support the interoperability among the different considered systems.

Notes

This work was supported by the MAS-Society Project co-funded by Portugal 2020 Fundo Europeu de Desenvolvimento Regional (FEDER) through PO CI, and under Grant UIDB/00760/2020. Gabriel Santos was supported by national funds through Fundação para a Ciência e a Tecnologia (FCT) PhD studentship with reference SFRH/BD/118487/2016.

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