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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Vydáno v:IEEE transactions on power systems Ročník 13; číslo 4; s. 1219 - 1225
Hlavní autor: Grudinin, N.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.11.1998
Institute of Electrical and Electronics Engineers
Témata:
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
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Shrnutí: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.
Bibliografie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0885-8950
DOI:10.1109/59.736232