Abstract
This paper presents a Monte Carlo simulation method for generating stochastic load profiles for models of low voltage (LV) electricity grids to support middle- and long-term strategic asset planning processes. Models that calculate aggregated loads in a deterministic way using a coincidence coefficient (simultaneity factor) do not give insight in the probability of an overload and eventual
asset failure. Analysis of minute-to-minute load data obtained with Monte Carlo simulation, based on the characteristics and behaviour patterns of different household types, can provide more accurate probabilities of peak loads, especially for subordinate grids where individual consumption ehaviours have relatively high impacts. Calculating this indicator for different future scenarios can help improve LV distribution grid capacity planning down to the component level.
Original language | English |
---|---|
Title of host publication | Proceedings of the 21st International Conference on Electricity Distribution (CIRED2011), 6-9 June 2011, Frankfurt, Germany |
Place of Publication | Piscataway |
Publisher | CIRED |
Pages | 1-4 |
Publication status | Published - 2011 |
Event | 21st International Conference and Exhibition on Electricity Distribution (CIRED 2011) - Frankfurt, Germany Duration: 6 Jun 2011 → 9 Jun 2011 Conference number: 21 |
Conference
Conference | 21st International Conference and Exhibition on Electricity Distribution (CIRED 2011) |
---|---|
Abbreviated title | CIRED 2011 |
Country/Territory | Germany |
City | Frankfurt |
Period | 6/06/11 → 9/06/11 |