ICALEPCS2013 - List of Authors (Kiourkos, A.)

Paper

Title

Page

New Electrical Network Supervision for CERN: Simpler, Safer, Faster, and Including New Modern Features

27

J-C. Tournier, G. Burdet, M. Gonzalez-Berges, S. Infante, A. Kiourkos, P. Kozlowski, F. Varela
CERN, Geneva, Switzerland

Since 2012, an effort started to replace the ageing electrical supervision system (managing more than 200,000 tags) currently in operation with a WinCC OA-based supervision system in order to unify the monitoring systems used by CERN operators and to leverage the internal knowledge and development of the products (JCOP, UNICOS, etc.). Along with the classical functionalities of a typical SCADA system (alarms, event, trending, archiving, access control, etc.), the supervision of the CERN electrical network requires a set of domain specific applications gathered under the name of EMS (Energy Management System). Such applications include network coloring, state estimation, power flow calculations, contingency analysis, optimal power flow, etc. Additionally, as electrical power is a critical service for CERN, a high availability of its infrastructure, including its supervision system, is required. The supervision system is therefore redundant along with a disaster recovery system which is itself redundant. In this paper, we will present the overall architecture of the future supervision system with an emphasis on the parts specific to the supervision of electrical network.

Slides MOCOBAB01 [1.414 MB]

MOPPC023

Centralized Data Engineering for the Monitoring of the CERN Electrical Network

107

A. Kiourkos, P. Golonka, M. Gonzalez-Berges, S. Infante, J-C. Tournier
CERN, Geneva, Switzerland

The monitoring and control of the CERN electrical network involves a large variety of devices and software: it ranges from acquisition devices to data concentrators, supervision systems as well as power network simulation tools. The main issue faced nowadays for the engineering of such large and heterogeneous system including more than 20,000 devices and 200,000 tags is that all devices and software have their own data engineering tool while many of the configuration data have to be shared between two or more devices: the same data needs to be entered manually to the different tools leading to duplication of effort and many inconsistencies. This paper presents a tool called ENSDM aiming at centralizing all the data needed to engineer the monitoring and control infrastructure into a single database from which the configuration of the various devices is extracted automatically. Such approach allows the user to enter the information only once and guarantee the consistency of the data across the entire system. The paper will focus more specifically on the configuration of the remote terminal unit) devices, the global supervision system (SCADA) and the power network simulation tools.

Poster MOPPC023 [1.253 MB]

Paper	Title	Page
MOCOBAB01	New Electrical Network Supervision for CERN: Simpler, Safer, Faster, and Including New Modern Features	27
	J-C. Tournier, G. Burdet, M. Gonzalez-Berges, S. Infante, A. Kiourkos, P. Kozlowski, F. Varela CERN, Geneva, Switzerland
	Since 2012, an effort started to replace the ageing electrical supervision system (managing more than 200,000 tags) currently in operation with a WinCC OA-based supervision system in order to unify the monitoring systems used by CERN operators and to leverage the internal knowledge and development of the products (JCOP, UNICOS, etc.). Along with the classical functionalities of a typical SCADA system (alarms, event, trending, archiving, access control, etc.), the supervision of the CERN electrical network requires a set of domain specific applications gathered under the name of EMS (Energy Management System). Such applications include network coloring, state estimation, power flow calculations, contingency analysis, optimal power flow, etc. Additionally, as electrical power is a critical service for CERN, a high availability of its infrastructure, including its supervision system, is required. The supervision system is therefore redundant along with a disaster recovery system which is itself redundant. In this paper, we will present the overall architecture of the future supervision system with an emphasis on the parts specific to the supervision of electrical network.
	Slides MOCOBAB01 [1.414 MB]

MOPPC023	Centralized Data Engineering for the Monitoring of the CERN Electrical Network	107
	A. Kiourkos, P. Golonka, M. Gonzalez-Berges, S. Infante, J-C. Tournier CERN, Geneva, Switzerland
	The monitoring and control of the CERN electrical network involves a large variety of devices and software: it ranges from acquisition devices to data concentrators, supervision systems as well as power network simulation tools. The main issue faced nowadays for the engineering of such large and heterogeneous system including more than 20,000 devices and 200,000 tags is that all devices and software have their own data engineering tool while many of the configuration data have to be shared between two or more devices: the same data needs to be entered manually to the different tools leading to duplication of effort and many inconsistencies. This paper presents a tool called ENSDM aiming at centralizing all the data needed to engineer the monitoring and control infrastructure into a single database from which the configuration of the various devices is extracted automatically. Such approach allows the user to enter the information only once and guarantee the consistency of the data across the entire system. The paper will focus more specifically on the configuration of the remote terminal unit) devices, the global supervision system (SCADA) and the power network simulation tools.
	Poster MOPPC023 [1.253 MB]