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Titolo: AN INTERIORPOINT NONLINEARPROGRAMMING FOR OPTIMAL POWERFLOW PROBLEMS WITH A NOVEL DATA STRUCTURE
Autore: WEI H; SASAKI H; KUBOKAWA J; YOKOYAMA R;
 Indirizzi:
 HIROSHIMA UNIV,DEPT ELECT ENGN,141 KAGAMIYAMA HIGASHIHIROSHIMA 739 JAPAN TOKYO METROPOLITAN UNIV,DEPT ELECT ENGN TOKYO 159 JAPAN
 Titolo Testata:
 IEEE transactions on power systems
fascicolo: 3,
volume: 13,
anno: 1998,
pagine: 870  877
 SICI:
 08858950(1998)13:3<870:AINFOP>2.0.ZU;2A
 Fonte:
 ISI
 Lingua:
 ENG
 Soggetto:
 SYSTEM OPTIMIZATION PROBLEMS; ALGORITHM;
 Keywords:
 OPTIMAL POWER FLOW; INTERIOR POINT NONLINEAR PROGRAMMING; PERTURBED KKT CONDITIONS; CENTERING DIRECTION; APPROXIMATE OFF;
 Tipo documento:
 Article
 Natura:
 Periodico
 Settore Disciplinare:
 Science Citation Index Expanded
 Citazioni:
 19
 Recensione:
 Indirizzi per estratti:



 Citazione:
 H. Wei et al., "AN INTERIORPOINT NONLINEARPROGRAMMING FOR OPTIMAL POWERFLOW PROBLEMS WITH A NOVEL DATA STRUCTURE", IEEE transactions on power systems, 13(3), 1998, pp. 870877
Abstract
This paper presents a new interior point nonlinear programming algorithm for optimal power flow problems (OPF) based on the perturbed KKT conditions of the primal problem. Through the concept of the centering direction, we extend this algorithm to classical power flow (PF) and approximate OFF problems. For the latter, CPU time can be reduced substantially. To efficiently handle functional inequality constraints, a reduced correction equation is derived, the size of which depends on that of equality constraints. A novel data structure is proposed which has been realized by rearranging the correction equation, Compared withthe conventional data structure of Newton OFF, the number of fillinsof the proposed scheme is roughly halved and CPU time is reduced by about 15% for large scale systems. The proposed algorithm includes fourkinds of objective functions and two different data structures. Extensive numerical simulations on test systems that range in size from 14 to 1047 buses, have shown that the proposed method is very promising for large scale application due to its robustness and fast execution time.
ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 10/07/20 alle ore 12:44:31