Open AccessA new particle swarm optimization‐based methodology for determining online static security regions
Author(s) -
Tinoco Rafael A. G.,
Passos Filho João A.,
Peres Wesley,
Henriques Ricardo M.
Publication year - 2021
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.12790
Subject(s) - particle swarm optimization , computer science , context (archaeology) , process (computing) , mathematical optimization , construct (python library) , population , point (geometry) , multi swarm optimization , algorithm , mathematics , paleontology , demography , geometry , sociology , biology , programming language , operating system
Summary A static security region is a tool that provides information on the steady‐state security conditions, for a given operating point, of a power system in an efficient way. Although this tool aims to be used in the online environment, one of its main characteristics is the high computational time required in the construction process. In this context, this article proposes a new methodology to construct these regions based on the particle swarm optimization (PSO) algorithm to improve computational performance. The proposed adjustments for the PSO algorithm parameters are detailed as well as the process to generate the initial population. The proposed methodology is validated through the study of two power systems. The first one is the well‐known New England system, and the second one is an equivalent of the southern Brazilian system. The presented results validate and clearly indicate the effectiveness of the proposed technique.