Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5446688 | Energy Procedia | 2016 | 10 Pages |
Abstract
Measured data from distribution grids with a high time resolution is scarce although it is where most volatile power profiles occur. Electrical storage systems (ESS) can mitigate the imbalance of generation and demand. In this study smart meter data with a temporal resolution of 15 s is analyzed and an algorithm described, that allows identifying differently oriented generator in mixed PV plants. Various self-consumption scenarios are simulated with different setups and temporal resolution. The calculated self-sufficiency rates lead to recommendations for the dimensioning and give precise values for the correction of key parameters from simulations if data is not available in high temporal resolution.
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Christoph Stegner, Josef Bogenrieder, Philipp Dr., Christoph J. Prof. Dr.,