Title :
Parameterization technique for the continuation power flow using the trivial and tangent predictor
Author :
Neto, A. Bonini ; Alves, D.A.
Author_Institution :
Electr. Eng. Dept., UNESP, Ilha Solteira, Brazil
Abstract :
This paper presents efficient geometric parameterization techniques using the tangent and the trivial predictors for the continuation power flow, developed from observation of the trajectories of the load flow solution. The parameterization technique eliminates the Jacobian matrix singularity of load flow, and therefore all the consequent problems of ill-conditioning, by the addition of the line equations which pass through the points in the plane determined by the variables loading factor and the real power generated by the slack bus, two parameters with clear physical meaning. This paper also provides an automatic step size control around the maximum loading point. Thus, the resulting method enables not only the calculation of the maximum loading point, but also the complete tracing of P-V curves of electric power systems. The technique combines robustness with ease of understanding. The results to the IEEE 300-bus system and of large real systems show the effectiveness of the proposed method.
Keywords :
IEEE standards; Jacobian matrices; geometry; load flow control; power generation control; prediction theory; size control; IEEE 300-bus system; Jacobian matrix; P-V curve tracing; automatic step size control; electric power system; geometric parameterization technique; line equation; load flow solution; maximum loading point calculation; power flow continuation; robustness; slack bus power generation; tangent predictor; trajectory observation; trivial predictor; variables loading factor; Equations; Jacobian matrices; Load flow; Loading; Mathematical model; Trajectory; Vectors; Continuation Method; Maximum Loading Point; Multiple Solutions; Parameterization; Power Flow; Voltage Collapse;
Conference_Titel :
Transmission and Distribution Conference and Exposition (T&D), 2012 IEEE PES
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-1934-8
Electronic_ISBN :
2160-8555
DOI :
10.1109/TDC.2012.6281446