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Appl. Sci. 2018, 8(3), 328; https://doi.org/10.3390/app8030328

Multi-Agent Decision Support Tool to Enable Interoperability among Heterogeneous Energy Systems

1
Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Polytechnic of Porto (IPP), 4200-072 Porto, Portugal
2
BISITE Research Group, Bioinformatic, Intelligent Systems and Educational Technology, University of Salamanca (USAL), 37007 Salamanca, Spain
*
Author to whom correspondence should be addressed.
Received: 30 December 2017 / Revised: 8 February 2018 / Accepted: 17 February 2018 / Published: 26 February 2018
(This article belongs to the Section Energy)
Full-Text   |   PDF [1536 KB, uploaded 27 February 2018]   |  

Abstract

Worldwide electricity markets are undergoing a major restructuring process. One of the main reasons for the ongoing changes is to enable the adaptation of current market models to the new paradigm that arises from the large-scale integration of distributed generation sources. In order to deal with the unpredictability caused by the intermittent nature of the distributed generation and the large number of variables that contribute to the energy sector balance, it is extremely important to use simulation systems that are capable of dealing with the required complexity. This paper presents the Tools Control Center (TOOCC), a framework that allows the interoperability between heterogeneous energy and power simulation systems through the use of ontologies, allowing the simulation of scenarios with a high degree of complexity, through the cooperation of the individual capacities of each system. A case study based on real data is presented in order to demonstrate the interoperability capabilities of TOOCC. The simulation considers the energy management of a microgrid of a real university campus, from the perspective of the network manager and also of its consumers/producers, in a projection for a typical day of the winter of 2050. View Full-Text
Keywords: decision support system; electricity markets; energy resources management; multi-agent simulation; semantic interoperability; smart grid decision support system; electricity markets; energy resources management; multi-agent simulation; semantic interoperability; smart grid
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Teixeira, B.; Pinto, T.; Silva, F.; Santos, G.; Praça, I.; Vale, Z. Multi-Agent Decision Support Tool to Enable Interoperability among Heterogeneous Energy Systems. Appl. Sci. 2018, 8, 328.

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