Title :
Linear power flow formulation based on a voltage-dependent load model
Author :
Marti, Joan ; Ahmadi, H. ; Bashualdo, L.
Abstract :
Summary form only given. The power flow (PF) solution is a fundamental tool in power system analysis. Standard PF formulations are based on the solution of a system of nonlinear equations which are computationally expensive due to the iterations needed. On the other hand, distribution system (DS) automation algorithms should be fast enough to meet real-time performance. The conventional load representation, as constant P-Q, becomes less accurate as we get closer to the actual load´s level. In this paper, a new load model is proposed which represents the loads´ voltage dependency. A simple curve-fitting technique is used to derive a voltage-dependent load model which splits the load as a combination of an impedance and a current source. With this representation and some numerical approximations on the imaginary part of the nodal voltages, it is possible to formulate the load flow problem as a linear power flow (LPF) solution which does not require iterations. The approximation has been tested in systems up to three thousand nodes with excellent results. The LPF formulation is particularly important in the context of optimization algorithms for automated smart distribution systems. The extension of the technique to unbalanced distribution systems will be presented in future work.
Keywords :
curve fitting; electric impedance; load flow; nonlinear equations; optimisation; DS automation algorithms; LPF formulation; PF formulations; automated smart distribution system; current source; curve-fitting technique; distribution system automation algorithms; impedance; linear power flow formulation; load flow problem; nonlinear equations; numerical approximation; optimization algorithm; power system analysis; voltage-dependent load model; Analytical models; Approximation methods; Computational modeling; Load flow; Load modeling; Mathematical model; Numerical models;
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
DOI :
10.1109/PESGM.2014.6939511