Title :
An Interior-Point Filter Algorithm for Reactive Power Optimization
Author :
Shuo Yang ; Jing-yang Zhou ; Qiang Li ; Yi Pan ; Xiao-Lei Li
Author_Institution :
China Electr. Power Res. Inst., Beijing, China
Abstract :
The interior-point filter algorithm (IPFA) is based on a primal-dual interior-point algorithm with a filter set which can be updated after every iteration, and the algorithm will not cycle between two points that alternately decrease the constraint violation and the barrier objective function. The simulation results from IEEE 30-bus system, IEEE 57-bus system and IEEE 118-bus system show that using the algorithm for power system reactive power optimization possesses good robustness and fast convergence.
Keywords :
iterative methods; optimisation; power filters; power systems; reactive power; IEEE 118-bus system; IEEE 30-bus system; IEEE 57-bus system; barrier objective function; interior-point filter algorithm; iteration; power system reactive power optimization; primal-dual interior-point algorithm; Convergence; Filtering algorithms; Mathematical model; Optimization; Programming; Reactive power;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6253-7
DOI :
10.1109/APPEEC.2011.5747708
