Paper Info
Title
Robust dispatch with power flow routing and renewables
Abstract
The uncertainty and variability of renewable energy sources are challenging problems in the operation of power systems. In this paper, we focus on the robust dispatch of generators to overcome the uncertainty of renewable power predictions. The energy management costs of supply, spinning reserve, and power losses, are jointly optimized by the proposed robust optimal power flow (OPF) method with a column-and-constraint generation algorithm. Conic relaxation is applied to the non-convex alternating-current power flow regions with the phase angle constraints for loops retained by linear approximation. The proposed method allows us to solve the robust OPF problem efficiently with good accuracy and to incorporate power flow controllers and routers into the OPF framework. Numerical results on the IEEE Reliability Test System show the efficacy of our robust dispatch strategy in guaranteeing immunity against uncertain renewable generation, as well as in reducing the energy management costs through power flow routing.
Year
DOI
Venue
2015
10.1109/SmartGridComm.2015.7436306
2015 IEEE International Conference on Smart Grid Communications (SmartGridComm)
Keywords
Field
DocType
robust dispatch,power flow routing,renewable energy sources,renewable power predictions,energy management,supply costs,spinning reserve,power loss,robust optimal power flow,column-and-constraint generation,conic relaxation,nonconvex alternating-current power flow,phase angle constraints,linear approximation,power flow controllers,OPF framework,IEEE reliability test system
Linear approximation,Energy management,Mathematical optimization,Renewable energy,Spinning,Smart grid,Electric power system,Robustness (computer science),Engineering,Conic section
Conference
ISSN
Citations 
PageRank 
2373-6836
0
0.34
References 
Authors
4
3
Name
Order
Citations
PageRank
Junhao Lin1152.62
Li, V.O.K.24160695.00
Ka-Cheong Leung331835.54