Title :
Dual maximization methods for Lagrangian Relaxation-Based SCUC
Author :
Pinto, Herminio ; Magnago, Fernando ; Worhach, Paul
Author_Institution :
Nexant, Inc., Chandler, AZ, USA
Abstract :
This paper discusses the analytical and computational challenges of various sub-gradient and cutting plane methods applied to updating Lagrangian multipliers associated with the Security-Constrained Unit Commitment problem. Large-scale testing systems are used to demonstrate the effectiveness of the different algorithms.
Keywords :
optimisation; power generation dispatch; power generation scheduling; power system security; Lagrangian relaxation-based SCUC; dual maximization methods; largescale testing systems; security constrained unit commitment; Algorithm design and analysis; Approximation methods; Complexity theory; Ellipsoids; Generators; Gravity; Schedules;
Conference_Titel :
Bulk Power System Dynamics and Control (iREP) - VIII (iREP), 2010 iREP Symposium
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-1-4244-7466-0
Electronic_ISBN :
978-1-4244-7465-3
DOI :
10.1109/IREP.2010.5563257
