TY - GEN
T1 - Operation strategies of energy storages with forecast methods in low-voltage grids with a high degree of decentralized generation
AU - Lodl, Martin
AU - Witzmann, Rolf
AU - Metzger, Michael
PY - 2011
Y1 - 2011
N2 - With the assumption that photovoltaic power plants will use all available roof areas in the future, it is not possible to integrate the entire PV potential in today's low-voltage distribution grids. Due to the enormous feed-in of fluctuating electrical power in low-voltage grids by small-scale photovoltaic plants, transformers and cables can reach their loading limits. Moreover, the grid voltage can exceed permissible thresholds. In this paper the maximum feed-in that low-voltage energy distribution networks can be supplied with is being evaluated. The results show that it is not possible at present to integrate the entire potential of photovoltaic power plants in the distribution grids. Local energy storages, which save the surplus generation, can be an alternative to grid reinforcement and can be essential for a stable energy network in the future. Optimization methods using forecasts can lead to a more efficient usage of energy storage systems and enhance the self-consumption of the local energy generation.
AB - With the assumption that photovoltaic power plants will use all available roof areas in the future, it is not possible to integrate the entire PV potential in today's low-voltage distribution grids. Due to the enormous feed-in of fluctuating electrical power in low-voltage grids by small-scale photovoltaic plants, transformers and cables can reach their loading limits. Moreover, the grid voltage can exceed permissible thresholds. In this paper the maximum feed-in that low-voltage energy distribution networks can be supplied with is being evaluated. The results show that it is not possible at present to integrate the entire potential of photovoltaic power plants in the distribution grids. Local energy storages, which save the surplus generation, can be an alternative to grid reinforcement and can be essential for a stable energy network in the future. Optimization methods using forecasts can lead to a more efficient usage of energy storage systems and enhance the self-consumption of the local energy generation.
KW - Batteries
KW - Energy storage
KW - Forecast methods
KW - Low-Voltage distribution network
KW - PV
KW - Photovoltaic systems
KW - Power grids
UR - http://www.scopus.com/inward/record.url?scp=82955172963&partnerID=8YFLogxK
U2 - 10.1109/EPEC.2011.6070252
DO - 10.1109/EPEC.2011.6070252
M3 - Conference contribution
AN - SCOPUS:82955172963
SN - 9781457704048
T3 - 2011 IEEE Electrical Power and Energy Conference, EPEC 2011
SP - 52
EP - 56
BT - 2011 IEEE Electrical Power and Energy Conference, EPEC 2011
T2 - 2011 IEEE Electrical Power and Energy Conference, EPEC 2011
Y2 - 3 October 2011 through 5 October 2011
ER -
