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Open AccessJournal ArticleDOI

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

Filip Andren, +2 more
- 16 Mar 2017 - 
- Vol. 10, Iss: 3, pp 374
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TLDR
This paper covers the proposed rapid engineering methodology and a corresponding prototypical implementation which is validated in a laboratory experiment and decreases the number of engineering steps and reduces the use case design and implementation complexity.
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.

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Citations
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Integrating renewable energy in smart grid system: Architecture, virtualization and analysis

TL;DR: A smart grid architecture depicting a smart grid consisting of the main grid and multiple embedded micro-grids is proposed by proposing a “Micro-grid Key Elements Model” (MKEM) and the implementation of the virtualized system integrates solar power generation units, battery energy storage systems with the proposed grid architecture.
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Synthesis of an intelligent rural village microgrid control strategy based on smartgrid multi-agent modelling and transactive energy management principles

TL;DR: The proposed Smart Village solution operates as a self-regulating smart microgrid energy management system and by virtue of its market-based transactive reasoning approach is able to meet multiple operating requirements of rural village energy systems.
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Co-Simulation of Smart Distribution Network Fault Management and Reconfiguration with LTE Communication

TL;DR: In this article, the authors investigated the use of public mobile telecommunication system 4G Long Term Evolution (LTE) for FLISR applications in both radially and weakly-meshed medium voltage (MV) distribution networks.
References
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Smart Grid Technologies: Communication Technologies and Standards

TL;DR: The main objective of this paper is to provide a contemporary look at the current state of the art in smart grid communications as well as to discuss the still-open research issues in this field.
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Future Energy Systems: Integrating Renewable Energy Sources into the Smart Power Grid Through Industrial Electronics

TL;DR: In this article, the authors discuss about integrating renewable energy sources into the smart power grid through industrial electronics, including photovoltaic power, wind energy conversion, hybrid energy systems, and tidal energy conversion.
Book

Domain-specific languages

Martin Fowler
TL;DR: This book covers a variety of different techniques available for DSLs and can be used with whatever programming language you happen to be using, most of the examples are in Java or C#.
Journal Article

Why looking isn't always seeing: readership skills and graphical programming : Cognition and software development

M. Petre
TL;DR: This article reports on some fascinating research focusing on understanding how textual and visual representations for software differ in effectiveness, and determined that the differences lie not so much in the textual-visual distinction as in the degree to which specific representations support the conventions experts expect.
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