ISU Electrical and Computer Engineering Archives

Decision making under uncertainty in power system using Benders decomposition

Li, Yuan (2008) Decision making under uncertainty in power system using Benders decomposition. PhD thesis, Iowa State University.

Full text available as:

PDF - Archive staff only - Requires Adobe Acrobat Reader or other PDF viewer.


Decision-making for operations, maintenance, and investment planning of electric power systems must handle a great deal of uncertainty.In the work described here, the enhanced risk index is used to describe these uncertainties,and the Benders decomposition algorithm plays the role of integrating three components of the decision making problem: economy, reliability, and risk.A decomposed security-constrained optimal power flow is developed to demonstrate the significant speed enhancement of the chosen algorithm. The risk-based optimal power flow,risk-based unit commitment problem, risk-based transmission line expansion, and risk-based Var resource allocation are formulated and demonstrated. A general Benders decomposition structure is developed to cover most of the decision making problems encountered in everyday use within the power industry. In order to facilitate this algorithm, a service oriented architecture (SOA) is introduced and a Benders decomposition and SOA based computation platform is designed.

EPrint Type:Thesis (PhD)
Subjects:Electrical Engineering > ELECTRIC POWER & ENERGY SYSTEMS > Power System Optimization for Operation and Planning, Decision and Risk Analysis
ID Code:448
Identification Number:Identification Number UNSPECIFIED
Deposited By:Yuan Li
Deposited On:18 October 2008

Archive Staff Only: edit this record