Buscar
Mostrando ítems 31-40 de 4964
An Improved Parameterization Technique for the Continuation Power Flow
(IEEE, 2010-01-01)
Continuation methods have been long used in P-V curve tracing due to their efficiency in the resolution of ill-conditioned cases, with close to singular Jacobian matrices, such as the maximum loading point of power systems. ...
An efficient geometric parameterization technique for the continuation power flow
(Elsevier B.V., 2007-01-01)
Continuation methods have been shown as efficient tools for solving ill-conditioned cases, with close to singular Jacobian matrices, such as the maximum loading point of power systems. Some parameterization techniques have ...
An efficient geometric parameterization technique for the continuation power flow
(Elsevier B.V., 2007-01-01)
Continuation methods have been shown as efficient tools for solving ill-conditioned cases, with close to singular Jacobian matrices, such as the maximum loading point of power systems. Some parameterization techniques have ...
An improved parameterization technique for the continuation power flow
(2010-07-26)
Continuation methods have been long used in P-V curve tracing due to their efficiency in the resolution of ill-conditioned cases, with close to singular Jacobian matrices, such as the maximum loading point of power systems. ...
Geometric Parameterization Technique for Continuation Power Flow Based on Quadratic Curve
(2017-10-21)
The electricity sector, especially in emerging countries, has experienced several transformations, mainly resulting from the increase of electricity demand. This encourages more investment in the generation sector and ...
Practical method for computing the maximum loading point using a load flow with step size optimisation
(Inst Engineering Technology-ietHertfordInglaterra, 2011)
An efficient geometric parameterization technique for the continuation power flow
(Elsevier B.V., 2014)
Parameterized fast decoupled power flow methods for obtaining the maximum loading point of power systems. Part I. Mathematical modeling
(Elsevier Science SaLausanneSuíça, 2004)