Title :
A enhanced multiple predictor-corrector interior point method for optimal power flow
Author :
Xie, Liang ; Chiang, Hsiao-Dong
Author_Institution :
Sch. of Electron., Inf. & Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
Interior point method (IPM), as one of the most efficient methods, is being extended to solve different types of optimization problems in electric power domain. In this paper, the nonlinear OPF problem, formulated with a rectangular coordinate form, is solved using the enhanced multiple predictor-corrector interior point method, which is combined with the selection of the optimal composite direction. An two stage linesearch strategy is also employed to obtain an optimal composite direction to improve the convergence property of MPC. The proposed method is then simulated for several test system ranging in size from 57 buses to 2790 buses. Numerical results demonstrate that the proposed method can lead to convergence with a smaller number of iterations and better computational time. Moreover, the comparison with different methods shows that the proposed method can be faster and robuster than that traditional predictor-corrector interior point method and its variant.
Keywords :
load flow; optimisation; predictor-corrector methods; convergence property; enhanced multiple predictor-corrector interior point method; interior point method; nonlinear OPF problem; optimal composite direction; optimal power flow; optimization problems; Interior point method; Line search; Nonlinear Programming; Optimal power flow;
Conference_Titel :
Power and Energy Society General Meeting, 2010 IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-6549-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2010.5589934