Engineering and validation support framework for power system automation and control applications
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Elektrotechnik & Informationstechnik https://doi.org/10.1007/s00502-020-00852-3
Engineering and validation support framework for power system automation and control applications J. Resch, B. Schuiki, S. Schöndorfer, C. Brandauer, G. Panholzer, F. Pröstl Andrén, T. I. Strasser
The rollout of smart grid solutions has already started and new methods are deployed to the power system today. But the complexity is still increasing and the focus is moving from a single system to a system of systems perspective. The results are increasing engineering efforts and escalating costs. To address these challenges, this work proposes the concept of an automated model-based engineering and validation framework that covers the overall development process of smart grid applications from specification and use case design to automatic engineering and validation and, finally, deployment and commissioning. This paper provides an overview of the framework concept and introduces a prototypical implementation. Also, it showcases its potential with the help of some examples. Keywords: cyber-physical energy system; engineering process automation; validation support
© CIGRE - Reprint from www.cigre.org with kind permission 2020 2020
1. Introduction The rollout of new smart grid solutions has already started due to the increasing integration of new devices like Distributed Energy Sources (DER), Battery Energy Storage Systems (EES) or smart secondary substations. Thus, there are changes in the planning and operation of power distribution grids [1, 2]. New architectures, mainly based on advanced automation and control systems, using advanced information and communication technologies, are important mechanisms to handle these new opportunities but they also introduce new challenges [2]. The implementation of such approaches is associated with increasing engineering and validation complexity, typically resulting in higher costs. However, with the usage of engineering support systems, machine learning, and corresponding tools, there is a huge optimization potential for the engineering process [3]. Until now such comprehensive methods and tools are partly missing or lacking on necessary features. A potential approach to reduce the engineering effort is to start with detailed use case and requirements engineering as it has already successfully been proven in recent smart grid projects. Until now, the most promising concepts are the Smart Grid Architecture Model (SGAM) and the IEC 62559 approach (also known as the IntelliGrid method) [4] which are complementing each other. If these two tools are properly used, the results are structured use case descriptions and diagrams. Since one of the main ideas is to identify problems early in the development phase, these descriptions often contain a lot of information [5]. However, a disadvantage with existing approaches is that this information is only provided in a nonformal representation. Thus, it cannot be adequately used in a computerized and automated approach. Moreover, existing use case and design me
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