TY - GEN
T1 - Optimal dispatch strategy for the agile virtual power plant
AU - Petersen, Mette Højgaard
AU - Bendtsen, Jan Dimon
AU - Stoustrup, Jakob
PY - 2012
Y1 - 2012
N2 - The introduction of large ratios of renewable energy into the existing power system is complicated by the inherent variability of production technologies, which harvest energy from wind, sun and waves. Fluctuations of renewable power production can be predicted to some extent, but the assumption of perfect prediction is unrealistic. This paper therefore introduces the Agile Virtual Power Plant. The Agile Virtual Power Plant assumes that the base load production planning based on best available knowledge is already given, so imbalances cannot be predicted. Consequently the Agile Virtual Power Plant attempts to preserve maneuverability (stay agile) rather than optimize performance according to predictions. In this paper the imbalance compensation problem for an Agile Virtual Power Plant is formulated. It is proved formally, that when local units are power and energy constrained integrators a dispatch strategy exists, which is optimal regardless of future load/imbalances. The optimal dispatch is obtained at each sample by solving a quadratic program. Finally a simulation example illustrates the optimal dispatch strategy and compares the performance with a (non-optimal) MPC-strategy.
AB - The introduction of large ratios of renewable energy into the existing power system is complicated by the inherent variability of production technologies, which harvest energy from wind, sun and waves. Fluctuations of renewable power production can be predicted to some extent, but the assumption of perfect prediction is unrealistic. This paper therefore introduces the Agile Virtual Power Plant. The Agile Virtual Power Plant assumes that the base load production planning based on best available knowledge is already given, so imbalances cannot be predicted. Consequently the Agile Virtual Power Plant attempts to preserve maneuverability (stay agile) rather than optimize performance according to predictions. In this paper the imbalance compensation problem for an Agile Virtual Power Plant is formulated. It is proved formally, that when local units are power and energy constrained integrators a dispatch strategy exists, which is optimal regardless of future load/imbalances. The optimal dispatch is obtained at each sample by solving a quadratic program. Finally a simulation example illustrates the optimal dispatch strategy and compares the performance with a (non-optimal) MPC-strategy.
UR - http://www.scopus.com/inward/record.url?scp=84869411383&partnerID=8YFLogxK
M3 - Article in proceeding
SN - 978-1-4577-1095-7
T3 - American Control Conference
SP - 288
EP - 294
BT - 2012 American Control Conference
PB - American Automatic Control Council
T2 - 2012 American Control Conference
Y2 - 27 June 2012 through 29 June 2012
ER -