Reactive power optimization using successive quadratic programming method

This paper presents a reactive power optimization model that is based on successive quadratic programming (SQP) methods. Mathematical formulation and unified algorithm suppose different objective functions (OF) of reactive power optimization, depending on type and purposes of current reactive power...

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Bibliographic Details
Published in:IEEE transactions on power systems Vol. 13; no. 4; pp. 1219 - 1225
Main Author: Grudinin, N.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.11.1998
Institute of Electrical and Electronics Engineers
Subjects:
Applied sciences
Computer science; control theory; systems
Exact sciences and technology
Load flow
Operational research and scientific management
Operational research. Management science
Optimization methods
Optimization. Search problems
Power generation economics
Power system modeling
Power system reliability
Power system security
Power systems
Programming theory
Quadratic programming
Reactive power
Reactive power control
Theoretical computing
Reactive power
Power flow
Optimization method
Theoretical study
Objective function
Quadratic programming
Newton method
ISSN:0885-8950
Online Access:Get full text
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Summary:This paper presents a reactive power optimization model that is based on successive quadratic programming (SQP) methods. Mathematical formulation and unified algorithm suppose different objective functions (OF) of reactive power optimization, depending on type and purposes of current reactive power control or planning problem. A bicriterion reactive power optimization model, that represents compromise between economical and security objective functions, is proposed. An efficient algorithm for approximation of initial problem by quadratic programming problem is described. The quadratic programming problem (QP) is solved on the basis of the Newton type quadratic programming method. A modified successive quadratic programming method was developed, that provides reliable convergence of the SQP method.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0885-8950
DOI:10.1109/59.736232