IGREENGrid attended the Smart Electric Distribution Systems and Technologies (EDST) International Symposium to present paper describing the "Probabilistic Tools for DMS".
The paper presents a set of probabilistic functions based on stochastic RES (PV and Wind) forecasting and probabilistic load flow, which use the AMR (Automatic Meter Reading) infrastructure for data acquisition at MV Networks and the SCADA measurements at the MV bus. More specifically, probabilistic functions are implemented, in order to provide improved monitoring of the system state, identification in advance and management of operational limits notations (e.g. over voltages), etc. Moreover, probabilistic tools are used for RES Hosting Capacity Evaluation and the Assessment of the impact of P/Q control strategies of Distributed Energy Resources (DER). Results from the application and evaluation of the probabilistic functions in actual, rural MV feeders with high PV penetration are presented and evaluated.
This year, the EDST took place in Viena (Austria) from the 8th to the 11th of September.