par Antoine, Olivier 
;Maun, Jean Claude ;Jacobs, Gilles ;Warichet, Jacques ;Druet, C
Référence CIGRE Belgium Conference(2014/03/12-14: Brussels), INNOVATION FOR SECURE AND EFFICIENT TRANSMISSION GRIDS, Vol. 0135
Publication Publié, 2014-03-13
;Maun, Jean Claude ;Jacobs, Gilles ;Warichet, Jacques ;Druet, CRéférence CIGRE Belgium Conference(2014/03/12-14: Brussels), INNOVATION FOR SECURE AND EFFICIENT TRANSMISSION GRIDS, Vol. 0135
Publication Publié, 2014-03-13
Publication dans des actes
| Résumé : | This paper describes the experience gained during the demonstration NETFLEX of the Twenties project concerning the study of inter-area oscillations in Continental Europe. Throughout this project, a Wide Area Monitoring System (WAMS) has been set up at the Regional Coordination Service Centre Coreso. This WAMS gathers data from 13 phasor measurement units (PMUs) located in Portugal, France, Belgium, Switzerland, Denmark, Germany and Slovenia (Figure 1). PMU measurements are processed to identify frequency, damping, magnitude and mode shape of dominant inter-area oscillations. Firstly, this paper summarizes the observations of one whole year of monitoring. Four inter-area modes have been observed. Among the signals that can be used to analyse the oscillating modes, the voltage phase angle difference between PMUs located in regions oscillating in anti-phase yields the highest modal observability.The main contribution of this paper is the assessment of the influence of power flow patterns on the damping of the dominant inter-area oscillations. The approach consists in monitoring “at the same time” oscillations using PMUs and the system state with the conventional SCADA-EMS tools. The two monitoring streams, however, have different periodicities and some filtering is required in order to build a database of pairs “power system state – mode damping ratio”. Among the variables available in the power system state, we focused on the active power generated and transmitted on the 380 kV lines because they are influenced by actions of Transmission System Operators (TSOs). Due to the large amount of data (more than 3000 380 kV lines every 15 minutes), data mining algorithms have been used to extract useful information.The data mining step can be divided in two objectives. The first objective is to forecast the mode damping in order to assess system stability ahead of real-time, thus leaving – when needed – some time to planners and operators to preventively perform actions. Typically, day-ahead congestion forecast (DACF) files can be used in order to forecast oscillation damping in day-ahead. The issue is: what actions to perform when damping is insufficient? Therefore, the second objective is to identify the main transmission corridors having an influence on the mode damping. This step enables to propose preventive or corrective actions. However, it is difficult to identify these main corridors a large, highly meshed grid such as Central Western Europe. |
