Towards a fast and robust interior point method for power system applications

2004 ◽  
Vol 151 (5) ◽  
pp. 575 ◽  
Author(s):  
M.J. Rider ◽  
C.A. Castro ◽  
M.F. Bedrinana ◽  
A.V. Garcia
1996 ◽  
Vol 11 (1) ◽  
pp. 287-294 ◽  
Author(s):  
M. Christoforidis ◽  
M. Aganagic ◽  
B. Awobamise ◽  
S. Tong ◽  
A.F. Rahimi

2010 ◽  
Vol 32 (6) ◽  
pp. 671-677 ◽  
Author(s):  
Chawasak Rakpenthai ◽  
Suttichai Premrudeepreechacharn ◽  
Sermsak Uatrongjit ◽  
Neville R. Watson

2014 ◽  
Vol 687-691 ◽  
pp. 3191-3194
Author(s):  
Wei Hua Chen ◽  
Yan Wei Chen

Congestion management is a hot point for research in power system. Optimal power flow (OPF) model is often used to solve this problem. However, the results cannot satisfy with market needing. To solve this problem, this paper presents a novel method of congestion management based on risk constraint and fuzzy optimization in electricity power markets. The risk constraint is used for transmission line thermal security instead of the traditional deterministic current or power constraint. The multi-objective functions are used to coordinate the conflict between security and efficiency of transmission network. Primal-Dual Interior Point Method (PDIPM) is adopted to solve the RBOPF problem. The method can minimize re-dispatch cost and the system operating risk.


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