Author: Infante, S.
Paper Title Page
MOPHA080 Automatic Reconfiguration of CERN 18 kV Electrical Distribution - the Auto Transfer Control System 400
  • J.C. Letra Simoes, S. Infante, F.A. Marin
    CERN, Geneva, Switzerland
  Availability is key to electrical power distribution at CERN. The CERN electrical network has been consolidated over the last 15 years in order to cope with the evolving needs of the laboratory and now comprises a 200 MW supply from the French grid at 400 kV, a partial back up from the Swiss grid at 130 kV and 16 diesel generators. The Auto Transfer Control System has a critical role in minimizing the duration of power cuts on this complex electrical network, thus significantly reducing the impact of downtime on CERN accelerator operation. In the event of a major power loss, the control system analyzes the global status of the network and decides how to reconfigure the network from alternative sources, following predefined constraints and priorities. The Auto Transfer Control System is based on redundant logical controllers (PLC) with multiple remote IO stations linked via an Ethernet IP ring (over optical fiber) across the three major substations at CERN. This paper describes the system requirements, constraints and the applicable technologies, which will be used to deliver an operational system by 2020.  
poster icon Poster MOPHA080 [1.586 MB]  
DOI • reference for this paper ※  
About • paper received ※ 26 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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TUBPL06 Energy Consumption Monitoring With Graph Databases and Service Oriented Architecture 719
  • A. Kiourkos, S. Infante, K.S. Seintaridis
    CERN, Meyrin, Switzerland
  CERN is a major electricity consumer. In 2018 it consumed 1.25 TWh, 1/3 the consumption of Geneva. Monitoring of this consumption is crucial for operational reasons but also for raising awareness of the users regarding energy utilization. This monitoring is done via a system, developed internally and is quite popular within the CERN community therefore to accommodate the increasing requirements, a migration is underway that utilizes the latest technologies for data modeling and processing. We present the architecture of the new energy monitoring system with an emphasis on the data modeling, versioning and the use of graphs to store and process the model of the electrical network for the energy calculations. The algorithms that are used are presented and a comparison with the existing system is performed in order to demonstrate the performance improvements and flexibility of the new approach. The system embraces the Service Oriented Architecture principles and we illustrate how these have been applied in its design. The different modules and future possibilities are also presented with an analysis of their strengths, weaknesses, and integration within the CERN infrastructure.  
slides icon Slides TUBPL06 [3.018 MB]  
DOI • reference for this paper ※  
About • paper received ※ 29 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
Export • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)