NDLI: An sequential linear programming algorithm for security-constrained optimal power flow

Content Provider	IEEE Xplore Digital Library
Author	Ye Tao Meliopoulos, A.
Copyright Year	2009
Description	Author affiliation: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332 - 0250 (Ye Tao; Meliopoulos, A.)
Abstract	This paper describes a new formulation of the security-constrained optimal power flow (SCOPF) problem and proposes a sequential linear programming algorithm for its solution. The new formulation introduces mismatch variables to ensure that the algorithm remains in the feasible region. Thus the algorithm starts from an arbitrary state: mismatch currents are computed and introduced at each bus to make the present iterate appear in a feasible region. The algorithm moves the solution towards the optimal while minimizes the mismatch variables. When the mismatch variables are zeroed, the optimal has been found. At each iteration, the problem is formulated as a nonlinear optimization problem with linear or quadratic equations via a quadratization procedure presented in earlier papers. The formulation and algorithm is demonstrated on a three-bus system.
Starting Page	1
Ending Page	6
File Size	322358
Page Count	6
File Format	PDF
ISBN	9781424444281
DOI	10.1109/NAPS.2009.5484047
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Linear programming Load flow Large-scale systems Constraint optimization Filtering Iterative algorithms Optimization methods Power engineering computing Power engineering and energy Paper technology Sequential linear programming Security-constrained optimal power flow Quadratized power flow
Content Type	Text
Resource Type	Article

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