TY - GEN
T1 - Spatio-temporal analysis for smart grids with wind generation integration
AU - He, Miao
AU - Yang, Lei
AU - Zhang, Junshan
AU - Vittal, Vijay
PY - 2013
Y1 - 2013
N2 - In this paper, we propose a spatio-temporal analysis approach for short-term forecasting of wind farm generation. Specifically, using extensive measurement data from an actual wind farm, the probability distribution and the level crossing rate (LCR) of wind farm generation are characterized by using tools from graphical learning and time-series analysis. Based on these spatial and temporal characterizations, finite state Markov chain models for wind farm generation are developed. Point-forecast of wind farm generation is derived using the Markov chains and integrated into power system economic dispatch. Numerical study on economic dispatch using the IEEE 30-bus test system demonstrates the significant improvement compared with conventional wind-speed-based forecasting methods.
AB - In this paper, we propose a spatio-temporal analysis approach for short-term forecasting of wind farm generation. Specifically, using extensive measurement data from an actual wind farm, the probability distribution and the level crossing rate (LCR) of wind farm generation are characterized by using tools from graphical learning and time-series analysis. Based on these spatial and temporal characterizations, finite state Markov chain models for wind farm generation are developed. Point-forecast of wind farm generation is derived using the Markov chains and integrated into power system economic dispatch. Numerical study on economic dispatch using the IEEE 30-bus test system demonstrates the significant improvement compared with conventional wind-speed-based forecasting methods.
KW - Smart grids
KW - spatio-temporal analysis
KW - wind farm generation forecast
KW - wind generation integration
UR - http://www.scopus.com/inward/record.url?scp=84877605748&partnerID=8YFLogxK
U2 - 10.1109/ICCNC.2013.6504247
DO - 10.1109/ICCNC.2013.6504247
M3 - Conference contribution
AN - SCOPUS:84877605748
SN - 9781467352888
T3 - 2013 International Conference on Computing, Networking and Communications, ICNC 2013
SP - 1107
EP - 1111
BT - 2013 International Conference on Computing, Networking and Communications, ICNC 2013
T2 - 2013 International Conference on Computing, Networking and Communications, ICNC 2013
Y2 - 28 January 2013 through 31 January 2013
ER -