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Energies 2017, 10(10), 1595; https://doi.org/10.3390/en10101595

Engineering Support for Handling Controller Conflicts in Energy Storage Systems Applications

Center for Energy–Electric Energy Systems, AIT Austrian Institute of Technology, 1210 Vienna, Austria
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Received: 29 August 2017 / Revised: 26 September 2017 / Accepted: 28 September 2017 / Published: 13 October 2017
(This article belongs to the Special Issue Innovative Methods for Smart Grids Planning and Management)
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Abstract

Energy storage systems will play a major role in the decarbonization of future sustainable electric power systems, allowing a high penetration of distributed renewable energy sources and contributing to the distribution network stability and reliability. To accomplish this, a storage system is required to provide multiple services such as self-consumption, grid support, peak-shaving, etc. The simultaneous activation of controllers operation may lead to conflicts, as a consequence the execution of committed services is not guaranteed. This paper presents and discusses a solution to the exposed issue by developing an engineering support approach to semi-automatically detect and handle conflicts for multi-usage storage systems applications. To accomplish that an ontology is developed and exploited by model-driven engineering mechanisms. The proposed approach is evaluated by implementing a use case example, where detection of conflicts is automatically done at an early design stage. Besides this, exploitable source code for conflicts resolution is generated and used during the design and prototype stages of controllers development. Thus, the proposed engineering support enhances the design and development of storage system controllers, especially for multi-usage applications. View Full-Text
Keywords: energy storage systems; energy management system; engineering support; smart grid architecture model; model-driven engineering; rapid prototyping; ontology; semantic web technologies; description logic; conflicts resolution energy storage systems; energy management system; engineering support; smart grid architecture model; model-driven engineering; rapid prototyping; ontology; semantic web technologies; description logic; conflicts resolution
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Zanabria, C.; Tayyebi, A.; Pröstl Andrén, F.; Kathan, J.; Strasser, T. Engineering Support for Handling Controller Conflicts in Energy Storage Systems Applications. Energies 2017, 10, 1595.

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