Author:
Strelec Martin,Hering Pavel,Janecek Per
Abstract
AbstractTechnological, market, regulatory and societal drivers in the energy domain have significant impacts on power systems. These impacts are related to individual technical processes (e.g. operation, planning), which may be considered in different time frames. Power system impacts are mostly determined by measurable indicators, which can be defined in various ways. This chapter focuses on the presentation of commonly used measurable indicators for grid impact assessment in the field of EVs integration. Because technical processes may run in different time horizons, suitability of collected measurable indicators to three different time domains (real time, short term operation planning and long term planning) are discussed and assessed.
Publisher
Springer Nature Switzerland
Reference6 articles.
1. inteGRIDy project (2017) D 1.4. - inteGRIDy global evaluation metrics and KPIs. Integridy project website. http://www.integridy.eu/sites/default/files/integridy/public/content-files/deliverables/inteGRIDy_D1.4_Evaluation_Metrics_KPIs_v1.0.pdf
2. Airò Farulla G, Tumminia G, Sergi F, Aloisio D, Cellura M, Antonucci V, Ferraro M (2021) A review of key performance indicators for building flexibility quantification to support the clean energy transition. Energies
3. Pramangioulis D, Atsonios K, Nikolopoulos N, Rakopoulos D, Grammelis P, Kakaras E (2019) A methodology for determination and definition of key performance indicators for smart grids development in island energy systems. Energies.
4. UpGrid Project (2018) D8.5: summary of results obtained in WP8 and recommendation
5. Harder WJ (2018) Key performance indicators for smart grids master thesis on performance measurement for smart grids