Open AccessAdaptive barrier filter‐line‐search interior point method for optimal power flow with FACTS devices
Author(s) -
Duan Chao,
Fang Wanliang,
Jiang Lin,
Liu Jun
Publication year - 2015
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2015.0623
Subject(s) - robustness (evolution) , interior point method , mathematical optimization , power flow , line search , adaptive filter , computer science , control theory (sociology) , filter (signal processing) , algorithm , electric power system , mathematics , power (physics) , artificial intelligence , physics , computer security , control (management) , quantum mechanics , radius , computer vision , biochemistry , chemistry , gene
Three measures, namely, the adaptive barrier update strategy, the filter‐line‐search method and the feasibility restore phase, are simultaneously introduced in the conventional primal–dual interior point method (IPM) framework to enhance the robustness of existing optimal power flow algorithms when applied to systems with considerable number of flexible AC transmission system (FACTS) devices. First, an adaptive barrier parameter strategy is employed to update the barrier parameter after the current μ ‐barrier problem solved to certain accuracy. Second, a filter‐line‐search procedure is introduced to generate the next iterate. Third, the algorithm initiates a feasibility restore phase as a remedy in case of getting stuck at a non‐optimal point. Comparative case studies with previous algorithms on both standard test systems and large‐scale real‐world systems demonstrate the novel algorithm outperforms conventional IPMs in robustness and efficiency.