TY - GEN
T1 - Robust distributed energy management for microgrids with renewables
AU - Zhang, Yu
AU - Gatsis, Nikolaos
AU - Giannakis, Georgios B
PY - 2012/12/1
Y1 - 2012/12/1
N2 - Due to the low communication overhead and robustness to failures, distributed energy management is of paramount importance in smart grids, especially in microgrids, which feature distributed generation (DG). Distributed economic dispatch for a microgrid with renewable penetration and demand-side management operating in the grid-connected mode is considered in this paper. To address the challenge of intrinsically stochastic availability of renewable energy sources (RES), a novel power scheduling approach involving the actual renewable energy as well as the energy traded with the main grid is introduced, effecting the supply-demand balance. Its optimality amounts to minimizing the microgrid net cost, which includes conventional DG cost as well as worst-case transaction cost stemming from the uncertainty in RES. Leveraging the dual decomposition, the optimization problem formulated is solved in a distributed fashion. Numerical results are reported to corroborate the effectiveness of the novel approach.
AB - Due to the low communication overhead and robustness to failures, distributed energy management is of paramount importance in smart grids, especially in microgrids, which feature distributed generation (DG). Distributed economic dispatch for a microgrid with renewable penetration and demand-side management operating in the grid-connected mode is considered in this paper. To address the challenge of intrinsically stochastic availability of renewable energy sources (RES), a novel power scheduling approach involving the actual renewable energy as well as the energy traded with the main grid is introduced, effecting the supply-demand balance. Its optimality amounts to minimizing the microgrid net cost, which includes conventional DG cost as well as worst-case transaction cost stemming from the uncertainty in RES. Leveraging the dual decomposition, the optimization problem formulated is solved in a distributed fashion. Numerical results are reported to corroborate the effectiveness of the novel approach.
UR - http://www.scopus.com/inward/record.url?scp=84876037168&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84876037168&partnerID=8YFLogxK
U2 - 10.1109/SmartGridComm.2012.6486036
DO - 10.1109/SmartGridComm.2012.6486036
M3 - Conference contribution
AN - SCOPUS:84876037168
SN - 9781467309110
T3 - 2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012
SP - 510
EP - 515
BT - 2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012
T2 - 2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012
Y2 - 5 November 2012 through 8 November 2012
ER -