ISGT Europe 2022 panel session 1: Enhanced Grid Resilience by Data Sharing Between Protective and Control Systems, Operators and Significant Grid Users (Slides)
Creators: F. de Caro
S. Djokic
S. Skok
V. Terzija
Publisher: name: IEEE
Year: 2022

Transmission system operators (TSO & DSO) are struggling with energy mix dominantly led by intermittent distributed energy resources (RES), decommission of traditional generation units, high cross border load flows and shadows behind the curtains, that describes distribution system on interface with transmission system that causes unpredictable load flows, from higher to lower voltage level but also via verse. State of the art is that under the term of �Smart Grid�, �Advance systems� or �Intelligent solutions� enormous number of new devices, technologies and methodologies are emerging to the power system that are often characterized by different protocols and a large amount of data, thus providing assistance in part of the system, while in fact making a mess in the operation of the system operator (TSO and DSO).

This panel will focus on existing and new developed resilience applications on different power system locations and voltage levels, in a way to allow mutual key data sharing based on developed data sharing system and defined set of rules. 

To be more precise it is expected a new level of overall TSO-DSO data exchange and more focused on coordination of ancillary services on TSO & DSO level Panel aim is to discuss on:
- Developed novel and adapted disturbance detection and mitigation solutions that are applicable to representative parts of the power system based on synchronized measurement platform � IoT platform
- Methodology that determines the rules for exchange key data information between disturbance detection and mitigation systems to in order to achieve improvement of their resilience functionality for power system in general
- Algorithms suitable to the variety of the entire grid for event detection and mitigation in interconnected TSO & DSO grid that includes big data analysis and artificial intelligence
- Architecture of data management services, key data identification for exchange between embedded systems, data access and information acquisition that includes data mining
- Architecture of data sharing, data access and archiving services across system operators and significant interconnected grid users
Transmission system operators (TSO & DSO) are struggling with energy mix dominantly led by intermittent distributed energy resources (RES), decommission of traditional generation units, high cross border load flows and shadows behind the curtains, that describes distribution system on interface with transmission system that causes unpredictable load flows, from higher to lower voltage level but also via verse. State of the art is that under the term of �Smart Grid�, �Advance systems� or �Intelligent solutions� enormous number of new devices, technologies and methodologies are emerging to the power system that are often characterized by different protocols and a large amount of data, thus providing assistance in part of the system, while in fact making a mess in the operation of the system operator (TSO and DSO).<br /><br />This panel will focus on existing and new developed resilience applications on different power system locations and voltage levels, in a way to allow mutual key data sharing based on developed data sharing system and defined set of rules. <br /><br />To be more precise it is expected a new level of overall TSO-DSO data exchange and more focused on coordination of ancillary services on TSO & DSO level Panel aim is to discuss on:<br />- Developed novel and adapted disturbance detection and mitigation solutions that are applicable to representative parts of the power system based on synchronized measurement platform � IoT platform<br />- Methodology that determines the rules for exchange key data information between disturbance detection and mitigation systems to in order to achieve improvement of their resilience functionality for power system in general<br />- Algorithms suitable to the variety of the entire grid for event detection and mitigation in interconnected TSO & DSO grid that includes big data analysis and artificial intelligence<br />- Architecture of data management services, key data identification for exchange between embedded systems, data access and information acquisition that includes data mining<br />- Architecture of data sharing, data access and archiving services across system operators and significant interconnected grid users