DocumentCode
3197478
Title
Optimal power flow via quadratic power flow
Author
Tao, Ye ; MelioPoulos, A. P Sakis
Author_Institution
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2011
fDate
20-23 March 2011
Firstpage
1
Lastpage
8
Abstract
This paper proposes an optimal power flow (OPF) algorithm based on quadratic modeling and incremental loading of the network. The proposed OPF algorithm is robust and highly efficient for large-scale power systems. Robustness is achieved by the design of the algorithm to operate on infeasible but optimal points and move towards the feasible and optimal operating point. Efficiency is achieved by (a) the design of the algorithm to include mainly the active constraints and therefore reducing the problem size and (b) quadratic modeling that provides faster solution times of the network update solutions. The algorithm guarantees a solution. In case that an optimal solution does not exist, it provides the best solution, the constraints that cannot be satisfied and the remedial actions necessary to satisfy the operating constraints. Numerical examples indicate that the proposed algorithm converges fast and the convergence speed is not affected by system size.
Keywords
load flow; power systems; convergence speed; incremental loading network; large-scale power system; optimal power flow algorithm; quadratic modeling network; quadratic power flow; Algorithm design and analysis; Classification algorithms; Equations; Load flow; Mathematical model; Optimization; Mismatch variables; Optimal power flow; Quadratic power flow;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Systems Conference and Exposition (PSCE), 2011 IEEE/PES
Conference_Location
Phoenix, AZ
Print_ISBN
978-1-61284-789-4
Electronic_ISBN
978-1-61284-787-0
Type
conf
DOI
10.1109/PSCE.2011.5772563
Filename
5772563
Link To Document