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Ivanov C.,Entso E Inc. | Saxton T.,Xtensible Solutions | Waight J.,OMNETRIC Group | Monti M.,French Electricity Transmission Network | Robinson G.,Xtensible Solutions
IEEE Power and Energy Magazine | Year: 2016

Energy policies, both present and future, are creating a substantial transformation of the electrical power grid and pose significant challenges to the transmission and distribution IT systems needed to control and manage this grid. As more critical business processes are automated and new devices and systems added to achieve the smart grid vision of the future, the challenge rapidly becomes one of having too much data from a variety of new and incompatible sources but too little information. © 2016 IEEE. Source


Ferrante A.,TERNA S.p.A | Constantinescu N.,Entso E Inc. | Jackson J.A.,EDSO for Smart Grids
IEEE Power and Energy Magazine | Year: 2015

In response to the move in Europe toward a more sustainable, reliable, and cost-efficient society, European energy policy has set ambitious goals for the European electricity system, targeting the objective of at least an 80% decarbonization of society from current levels by 2050. © 2014 IEEE. Source


Verseille J.,French Electricity Transmission Network | Staschus K.,Entso E Inc.
IEEE Power and Energy Magazine | Year: 2015

The 41 European electricity transmission system operators (TSOs) from 34 countries across Europe are gathered under the umbrella of the European Network Transmission System Operators for Electricity (ENTSO-E) cooperative association to support security of supply, sustainability, and the development of a European internal energy market. Together they provide transmission service to 534 million citizens. Their cooperation is regulated by European Union (EU) Regulation (EC) 714/2009 on cross-border exchanges of electricity. As such, ENTSO-E is the focal point for all technical, market, and policy issues relating to TSOs and the European network; it interfaces with power system users, EU institutions, regulators, and national governments. © 2014 IEEE. Source


Gahungu J.-F.,French Electricity Transmission Network | Bikulcius R.,Entso E Inc.
44th International Conference on Large High Voltage Electric Systems 2012 | Year: 2012

Power system is subjected to various contingencies that may potentially, regardless of where they occur, lead to widespread incident over a large part of the interconnected systems. The knowledge of main causes and most important sources of disturbance (permanent tripping of transmission lines, loss of busbars or transformers, significant generation outages, important disconnections of load) and the learning from recent incidents are necessary for Transmission System Operators to avoid their reproduction. Following European Community Regulation no 714/2009 (setting in particular requirements regarding common network operation tools to ensure the coordination of network operation), ENTSO-E, the association of European Network of Transmission System Operators for Electricity (http://www.entsoe.eu/) asked Transmission System Operators to develop a common incidents (i.e. grid disturbances or system disturbances) classification scale in order to improve the awareness of the interconnected systems security level by: - following the number of events (definition of process each Transmission System Operator will have to apply in order to analyze on classified events), - following the status of security level by analysing the violation of preset thresholds, - identifying ways of progress to improve grid codes (definition of reporting and analyses procedures at ENTSO-E level). This paper explains the main objectives and principles of the Incidents Classification Scale, describes both reporting methodology and investigation procedure. It also gives information about main lessons learnt from the 2011 Classification Scale testing period. The classification scale has been designed to be reliable and non ambiguous: same kind of events has to be ranked at the same level. It is based on the events which have influence on the cross-border transfer capacity and trade, social consequences or lead to an important degradation of the system reliability. To achieve this objective, the team in charge of the development of the classification scale (members of Transmission System Operators and ENTSO-E secretariat) defined: - Criteria by using definitions (from ENTSO-E draft Glossary and IEC standards) of faults, incidents, events, disturbances, reasons, etc. for developing of common understanding. Each criterion describes "factually" an event or a situation which is observable. Only significant events are recorded and classified at their right level of gravity. - Thresholds to take into account the differences existing between each synchronous area and to be pertinent to each implied Transmission System Operator. - Investigation procedure (designed to taking into account differences of organization existing among European Transmission System Operators) to perform ex-post analysis. This procedure defines organization and main milestones to ensure that all the incidents which significantly have affected the integrity of interconnected system operations are analyzed. Finally, this European-wide Incidents Classification Scale will allow ENTSO-E and Transmission System Operators to draw up a yearly report reflecting the level of operational security all over Europe. It will represent a real opportunity for European Transmission System Operators to characterize main issues and to identify ways of progress. Source


Zhu J.,Power Info Llc | Zhuang E.,Power Info Llc | Ivanov C.,Entso E Inc. | Yao Z.,BC Hydro
IEEE Transactions on Power Systems | Year: 2011

Information visualization appears to be a promising technique for improving the business practices in today's electric power industry. The legacy power system visualization tools, however, restrict the visualization process to follow a limited number of pre-defined patterns created by human designers, thus hindering users' ability to discover. This paper proposes a data-driven approach to interactive visualization of power systems. The proposed approach relies on developing powerful data manipulation algorithms to create visualizations based on the characteristics of empirically or mathematically derived data. Based on this approach, a data-driven model exploratory tool has been developed to enable users to visualize the power system's physical/electrical configurations at various levels and from different perspectives. The conducted case studies have demonstrated that the data-driven approach could result in an interactive and user-driven power system visualization tool that fosters scientific understanding and insight, therefore unleashing the power of visualization. © 2006 IEEE. Source

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