Title :
A parallel unit commitment algorithm including optimal power flow constraints
Author :
Zhang, Mingze ; Jiang, Quanyuan ; Zheng, Xiao ; Cheng, Zhao
Author_Institution :
Dept. of Power Syst. & Autom., Zhejiang Univ., Hangzhou, China
Abstract :
This paper proposes a new parallel algorithm for unit commitment including optimal power flow constraints. The algorithm employs a new Augmented Lagrangian method that involves the Variable Duplication technique. By using the Auxiliary Problem Principle, we can convert the primal problem to its dual problem and get the separate structure of the Augmented Lagrangian which allows its implementation in parallel computers. With preliminary implementations of the algorithm, we have been able to solve the IEEE118 and IEEE300 problems reliably. Meanwhile the calculation speed is increased sufficiently by using parallel computation.
Keywords :
load flow; power generation dispatch; power generation scheduling; Augmented Lagrangian method; Auxiliary Problem Principle; IEEE118; IEEE300; Variable Duplication technique; optimal power flow constraints; parallel computers; parallel unit commitment algorithm; Concurrent computing; Constraint optimization; Dynamic programming; Economic forecasting; Lagrangian functions; Load flow; Parallel algorithms; Power generation economics; Safety; Voltage; Augmented Lagrangian; Auxiliary Problem Principle; Dynamic Programming; Interior Point Method; Optimal Power Flow; Parallel Computation; Unit Commitment; Variable Duplication;
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
DOI :
10.1109/SUPERGEN.2009.5348269