Title :
Predictor-Corrector Interior Point Algorithm for Current-Based Optimal Power Flow
Author :
Lin, Whei-Min ; Huang, Cong-Hui ; Zhan, Tung-Sheng
Author_Institution :
Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung
Abstract :
This paper presents a current-based optimal power flow (OPF) with predictor-corrector interior point algorithm (PCIPA). The distinctive features of this OPF formulation are: i) the elements of Hessian matrix are all real, ii) the objective function and constraints are quadratic functions and such quadratic properties are explored in the development of a robust nonlinear OPF solution procedure. This paper also presents the proposed method can further decomposes into two optimal sub-problems (active and reactive). The computational results on power systems of IEEE 9 to 118 buses have shown that the proposed algorithms are very effective.
Keywords :
Hessian matrices; load flow; predictor-corrector methods; Hessian matrix; current-based optimal power flow; objective function; power systems; predictor-corrector interior point algorithm; quadratic functions; Constraint optimization; Cost function; Electronic mail; Load flow; Nonlinear equations; Power system modeling; Prediction algorithms; Predictive models; Robustness; Voltage; Optimal Power Flow; Predictor-Corrector Interior Point Algorithm;
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2007.385483