Open AccessVoltage stability assessment using fast non-dominated sorting algorithm 1
Author(s) -
John E. Candelo,
Gladys Caicedo Delgado
Publication year - 2019
Publication title -
dyna
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.164
H-Index - 18
eISSN - 2346-2183
pISSN - 0012-7353
DOI - 10.15446/dyna.v86n208.62957
Subject(s) - sorting , ac power , stability (learning theory) , voltage , algorithm , power (physics) , power flow , control theory (sociology) , computer science , mathematical optimization , electric power system , mathematics , engineering , electrical engineering , artificial intelligence , physics , control (management) , quantum mechanics , machine learning
This paper presents a method to calculate multiple voltage stability limits (VSLs), voltage stability margins (VSMs), and voltage stability curves (VSCs). A multiobjective metaheuristic algorithm was used to change real and reactive powers of loads and generators and perform contingencies of the network elements. The maximum values of real and reactive powers were selected using fast non-dominated sorting and crowding distance techniques, combined with a conventional power flow (PF), and referred to in this paper as NSPF. The results show that the method can select and assess multiple maximum real and reactive powers allowed for a bus, an area, or the power system and that it can consider changes in load, generation, and contingencies. Results were validated using the PF and continuation power flow methods. The method finds a large number of VSCs in less time than the conventional methods and estimates multiple VSLs and VSMs.