Engineering Support for Handling Controller Conflicts in Energy Storage Systems Applications

Claudia Zanabria, Ali Tayyebi, Filip Pröstl Andrén, Johannes Kathan and Thomas Strasser
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Claudia Zanabria: Center for Energy–Electric Energy Systems, AIT Austrian Institute of Technology, 1210 Vienna, Austria
Ali Tayyebi: Center for Energy–Electric Energy Systems, AIT Austrian Institute of Technology, 1210 Vienna, Austria
Filip Pröstl Andrén: Center for Energy–Electric Energy Systems, AIT Austrian Institute of Technology, 1210 Vienna, Austria
Johannes Kathan: Center for Energy–Electric Energy Systems, AIT Austrian Institute of Technology, 1210 Vienna, Austria
Thomas Strasser: Center for Energy–Electric Energy Systems, AIT Austrian Institute of Technology, 1210 Vienna, Austria

Energies, 2017, vol. 10, issue 10, 1-24

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.

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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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