8.5 FINAL RESULTS OF THE ANM4L PROJECT : VERSION 0.1

The ANM4L (Active network management for all) project. This project has received funding in the framework of the joint programming initiative ERA-Net Smart Energy Systems, with support from the European Union’s Horizon 2020 research and innovation programme.</p

System Integrity Protection Schemes for enhanced security and capacity

System Integrity Protection Schemes (SIPS) are in use to increase secure power transfer in regions or cases where N-1 operation cannot be maintained. Utilization of PMU data in the development and deployment of solutions, enable SIPS to become response-based and thus providing increased security for a broader range of scenarios

Flexibility needs in the future power systems

https://www.slideshare.net/sustenergy/flexibility-needs-in-the-future-power-systemhttps://youtu.be/qtOdyzFAQKc</p

Perception, Prediction and Prevention of Extraordinary Events in the Power System

Conventional risk and reliability assessment techniques are insufficient when it comes to analysing extraordinary events on-line. The reason for this lies in the nature of extraordinary events, which are the result of dependent or multiple failures leading to an unstable operation. Thus, novel and unconventional techniques are required to analyse and quantify the risk related to extraordinary events. This thesis describes advances regarding perception, prediction, and prevention of extraordinary events. The focus of this work has been on the operation of the power system, where prediction and prevention of extraordinary events are required on-line and in the day-ahead operation planning. A central part of the perception of extraordinary events lies in the identification of the transition from a stable to an unstable state being a fundamental and critical characteristic of extraordinary events. Together with the realisation that situational awareness is a requirement for the implementation of remedial actions, this provides a basis for the development of solutions to predict and prevent extraordinary events. A methodology for analysing extraordinary events is presented in this thesis, identifying the requirement to perform transient dynamic multi-level contingency studies to properly address the risk of extraordinary events. Measures to improve the situational awareness are presented, in form of vulnerability indicators. These measures are of both a predictive and preventive nature, with vulnerability indicators supporting the operator to predict the risk of extraordinary events providing a decision base regarding implementation of manual preventive actions. Furthermore, a concept to assess the transfer capacity of critical power transfer corridors is presented. This concept is proposed to be utilised in the development of automatic controls, to prevent extraordinary events through appropriate mitigating actions. The predictive and preventive measures presented in this thesis describe conceptual solutions for decreasing the risk of extraordinary events. These measures depend on further development of tools and techniques in order to be integrated in, and supportive for, the tools used for operating the power system

System Integrity Protection Schemes for enhanced security and capacity

System Integrity Protection Schemes (SIPS) are in use to increase secure power transfer in regions or cases where N-1 operation cannot be maintained. Utilization of PMU data in the development and deployment of solutions, enable SIPS to become response-based and thus providing increased security for a broader range of scenarios

micro vs MEGA perspectives : Grid developments for the future power systems

Authored by E. Hillberg et. al.</p