Probabilistic tools for DMS

O Vlaehokyriakou, K Mavrogerrou,D Trakas,D Koukoula,G Sideratos, A Dinieas, N Hatziargynou, M Kouveletsou,E A Leonidaki, K Aiidreadis

2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST)（2015）

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摘要

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 MY Networks and the SCADA measurements at the MA" 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 Y/Q control strategies of Distributed Energy Resources (DER). Results from the application and evaluation of the probabilistic functions in actual, rural MY feeders with high PY penetration are presented and evaluated.

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关键词

probabilistic functions,photovoltaic systems,forecasting,Meter Reading,SCADA systems,load flow,probabilistic load flow,over voltages,voltage control,Reactive power,Y/Q control strategies,Renewable Energy Sources,high PY penetration

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