Modeling of Smart Grid Technologies for Reliability Calculations of Distribution Grids

Due to the transformation of the electric energy system, distribution grids are facing tremendous technical changes, in particular the integration of distributed generators and electric mobility load peaks. Smart grid solutions are upcoming network technology options to meet rising technical and eco...

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Bibliographic Details
Published in2018 Power Systems Computation Conference (PSCC) pp. 1 - 7
Main Authors Kamps, Kristof, Mohrke, Fabian, Zdrallek, Markus, Awater, Philipp, Schwan, Michael
Format Conference Proceeding
LanguageEnglish
Published Power Systems Computation Conference 01.06.2018
Subjects
analytical reliability calculation
Automation
distributed automation system
Indexes
line voltage regulator
Maintenance engineering
Markov model
Markov processes
Regulators
Reliability
Voltage control
voltage-regulated MV/LV distribution transformer
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Summary:Due to the transformation of the electric energy system, distribution grids are facing tremendous technical changes, in particular the integration of distributed generators and electric mobility load peaks. Smart grid solutions are upcoming network technology options to meet rising technical and economic challenges. However, the impact of smart grid solutions on customer and distributed generation reliability is still uncertain. Compared to conventional network components, smart grid technologies have complex characteristics during failure events. For detailed reliability modelling of these components new Markov models are developed in this paper. Considered technologies are decentralized network automation systems, on-load voltage-regulated MV/LV distribution transformers and line voltage regulators. In addition, state probabilities for each model are presented and impacts of the proposed models are discussed.
DOI:10.23919/PSCC.2018.8442727