Title :
Probabilistic simulation for LV-grid optimization with new network components
Author :
Eilenberger, S. ; Scholllhorn, Daniel ; Walker, G. ; Tenbohlen, Stefan ; Braun, Martin
Abstract :
Sustained integration of distributed renewable energy sources (especially photovoltaic generation in low voltage grids) has driven the need to expand grid capacities in recent years. Solutions to finding an economic justifiable approach for mains operation in an aging grid environment have become indispensable. This paper highlights the design of a probabilistic simulation environment. Furthermore it provides the possibility to rate new grid technologies taking all conceivable grid states into account. Thereby the simulation is based on actual, measured field data instead of standardised profiles. The aim is to create a simulation environment where different grid situations can be simulated allowing DSOs to optimize their grid planning. Especially low voltage grid simulations with few grid participants lacking accuracy, when modelled by standardized profiles, will benefit from this approach.
Keywords :
distributed power generation; optimisation; power grids; power system simulation; probability; DSO; LV-grid optimization; aging grid environment; distributed renewable energy sources; field data; grid planning; low voltage grid simulations; low voltage grids; photovoltaic generation; probabilistic simulation environment; standardized profiles; sustained integration;
Conference_Titel :
Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on
Conference_Location :
Stockholm
Electronic_ISBN :
978-1-84919-732-8
DOI :
10.1049/cp.2013.0813