Congestion Avoidance in Low-Voltage Networks by using the Advanced Metering Infrastructure
| Autor: | Vinot, Benoît, Cadoux, Florent, Gast, Nicolas, Heliot, Rodolphe, Gouin, Victor |
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| Přispěvatelé: | Laboratoire de Génie Electrique de Grenoble (G2ELab), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Performance analysis and optimization of LARge Infrastructures and Systems (POLARIS ), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Schneider Electric ( SE) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Computer Networks and Communications
Computer science Distributed computing Smart grid 02 engineering and technology 7. Clean energy law.invention [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] Control theory law Linear programming 0202 electrical engineering electronic engineering information engineering Metering mode [MATH]Mathematics [math] Network control algorithms Power networks [SPI.NRJ]Engineering Sciences [physics]/Electric power 020208 electrical & electronic engineering Photovoltaic system Grid [MATH.MATH-PR]Mathematics [math]/Probability [math.PR] [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF] Hardware and Architecture Electrical network [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] Low voltage Software Voltage |
| Zdroj: | ePerf 2018-IFIP WG PERFORMANCE-36th International Symposium on Computer Performance, Modeling, Measurements and Evalution ePerf 2018-IFIP WG PERFORMANCE-36th International Symposium on Computer Performance, Modeling, Measurements and Evalution, Dec 2018, Toulouse, France. pp.1-3 |
| Popis: | Smart Grids aim at leveraging communication and computation capabilities to better operate and control electrical networks. The idea of controlling the output of decentralized photovoltaic (PV) generators so as to avoid current and/or voltage issues in the distribution grid is, in particular, thoroughly investigated by the research community. The simplest and most commonly considered control methods consist in using a feedback controller based on a local voltage measurement at PV generator level. The main advantages of such methods is that they can be implemented at low cost and require no specific information about the network on which they are deployed. In this paper, we consider an alternative, that uses the advanced metering infrastructure (AMI) as the basis for PV generation control. Our contributions are as follows. First, we cast the problem of PV generation curtail-ment in the general framework of control theory, which sheds some light on the structure of previously proposed controllers. Second, we show how the advanced metering infrastructure may be used on one hand to infer some knowledge about the underlying network (learning phase), and on the other hand, to observe some of the disturbances that apply to our system so that they can be taken into account in the control phase. While doing so, we take great care of accounting for the inherent limitations of the advanced metering infrastructure in terms of measurements and communication, which is a major difference between this paper and previous work on the topic. Third, by means of numerical simulations, we compare our proposed feed-forward controller with two other controller structures: open-loop, and feedback. We demonstrate that our feed-forward controller — that requires no prior knowledge of the underlying electrical network — brings significant performance improvements as it can effectively suppress over-voltage and over-current while requiring low power curtailment. |
| Databáze: | OpenAIRE |
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