NDLI: Adaptive barrier filter-line-search interior point method for optimal power flow with FACTS devices

Content Provider	IET Digital Library
Author	Duan, Chao Fang, Wanliang Jiang, Lin Liu, Jun
Abstract	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.
Starting Page	2792
Ending Page	2798
Page Count	7
ISSN	17518687
Volume Number	9
e-ISSN	17518695
Issue Number	Issue 16, Dec (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/9/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.0623
Journal	IET Generation, Transmission & Distribution
Publisher Date	2015-12-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	A.c. Transmission Adaptive Barrier Filter Line Search Interior Point Method Adaptive Barrier Parameter Adaptive Barrier Update Adaptive Filter Current Μ-barrier Problem FACTS Device Flexible AC Transmission System Large-scale Real-world System Load Flow Nonoptimal Point Optimal Power Flow Primal Dual Interior Point Method Standard Test System
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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