Engineering Smart Grids: Applying Model-Driven Development from Use Case Design to Deployment

Filip Pröstl Andrén, Thomas I. Strasser and Wolfgang Kastner
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Filip Pröstl Andrén: Center of Energy-Electric Energy Systems, AIT Austrian Institute of Technology, Vienna 1210, Austria
Thomas I. Strasser: Center of Energy-Electric Energy Systems, AIT Austrian Institute of Technology, Vienna 1210, Austria
Wolfgang Kastner: Institute of Computer Aided Automation, Vienna University of Technology, Vienna 1040, Austria

Energies, 2017, vol. 10, issue 3, 1-33

Abstract: The rollout of smart grid solutions has already started and new methods are deployed to the power systems of today. However, complexity is still increasing as focus is moving from a single system, to a system of systems perspective. The results are increasing engineering efforts and escalating costs. For this reason, new and automated engineering methods are necessary. This paper addresses these needs with a rapid engineering methodology that covers the overall engineering process for smart grid applications—from use case design to deployment. Based on a model-driven development approach, the methodology consists of three main parts: use case modeling, code generation, and deployment. A domain-specific language is introduced supporting the use case design according to the Smart Grid Architecture Model. It is combined with the IEC 61499 distributed control model to improve the function layer design. After a completed use case design, executable code and communication configurations (e.g., IEC 61850) are generated and deployed onto compatible field devices. This paper covers the proposed rapid engineering methodology and a corresponding prototypical implementation which is validated in a laboratory experiment. Compared to other methods the proposed methodology decreases the number of engineering steps and reduces the use case design and implementation complexity.

Keywords: smart grid; engineering support system; model-driven design; use case; smart grid architecture model; domain-specific language; distributed automation and control; IEC 61499; IEC 61850; IEC 62559 (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 (9)

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