Open AccessMinimizing regulation costs in multi‐area systems with uncertain wind power forecasts
Author(s) -
Lindgren Elin,
Söder Lennart
Publication year - 2008
Publication title -
wind energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 92
eISSN - 1099-1824
pISSN - 1095-4244
DOI - 10.1002/we.231
Subject(s) - electric power system , wind power , range (aeronautics) , automatic frequency control , automatic generation control , control area , control theory (sociology) , power (physics) , operator (biology) , control (management) , computer science , engineering , telecommunications , electrical engineering , quantum mechanics , aerospace engineering , artificial intelligence , transcription factor , gene , biochemistry , physics , chemistry , repressor
Abstract In a power system where there are many fast and/or large changes in generation or consumption, e.g. in a system with large amounts of wind power, it is more complicated to handle the frequency control efficiently. Minimizing regulation costs for the system operator in such a system requires the possibility to simulate the frequency control in the time range from minutes to a few hours. In this paper, it is shown how the frequency control during normal operation can be optimized using a multi‐area model, without exceeding frequency limits or transmission capacity. The model has also been expanded to include uncertainties in wind power forecasts, which may lead to an increase of the regulating costs. The optimization model is applied to numerical examples to show the impact of wind power on costs for regulating power and to show the value of better wind speed forecasts. No load forecast errors are taken into account. Copyright © 2007 John Wiley & Sons, Ltd.