TY - JOUR
T1 - Robust energy management for microgrids with high-penetration renewables
AU - Zhang, Yu
AU - Gatsis, Nikolaos
AU - Giannakis, Georgios B
PY - 2013
Y1 - 2013
N2 - Due to its reduced communication overhead and robustness to failures, distributed energy management is of paramount importance in smart grids, especially in microgrids, which feature distributed generation (DG) and distributed storage (DS). Distributed economic dispatch for a microgrid with high renewable energy penetration and demand-side management operating in grid-connected mode is considered in this paper. To address the intrinsically stochastic availability of renewable energy sources (RES), a novel power scheduling approach is introduced. The approach involves the actual renewable energy as well as the energy traded with the main grid, so that the supply-demand balance is maintained. The optimal scheduling strategy minimizes the microgrid net cost, which includes DG and DS costs, utility of dispatchable loads, and worst-case transaction cost stemming from the uncertainty in RES. Leveraging the dual decomposition, the optimization problem formulated is solved in a distributed fashion by the local controllers of DG, DS, and dispatchable loads. Numerical results are reported to corroborate the effectiveness of the novel approach.
AB - Due to its reduced communication overhead and robustness to failures, distributed energy management is of paramount importance in smart grids, especially in microgrids, which feature distributed generation (DG) and distributed storage (DS). Distributed economic dispatch for a microgrid with high renewable energy penetration and demand-side management operating in grid-connected mode is considered in this paper. To address the intrinsically stochastic availability of renewable energy sources (RES), a novel power scheduling approach is introduced. The approach involves the actual renewable energy as well as the energy traded with the main grid, so that the supply-demand balance is maintained. The optimal scheduling strategy minimizes the microgrid net cost, which includes DG and DS costs, utility of dispatchable loads, and worst-case transaction cost stemming from the uncertainty in RES. Leveraging the dual decomposition, the optimization problem formulated is solved in a distributed fashion by the local controllers of DG, DS, and dispatchable loads. Numerical results are reported to corroborate the effectiveness of the novel approach.
KW - Demand side management
KW - distributed algorithms
KW - distributed energy resources
KW - economic dispatch
KW - energy management
KW - microgrids
KW - renewable energy
KW - robust optimization
UR - http://www.scopus.com/inward/record.url?scp=84884591622&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84884591622&partnerID=8YFLogxK
U2 - 10.1109/TSTE.2013.2255135
DO - 10.1109/TSTE.2013.2255135
M3 - Article
AN - SCOPUS:84884591622
SN - 1949-3029
VL - 4
SP - 944
EP - 953
JO - IEEE Transactions on Sustainable Energy
JF - IEEE Transactions on Sustainable Energy
IS - 4
M1 - 6510507
ER -