VNS algorithm for the design of supplementary damping controllers for small-signal stability analysis

Autor: Leonardo H. Macedo, Ruben Romero, Elenilson de Vargas Fortes, Percival Bueno de Araujo
Přispěvatelé: Goias Fed Inst Educ Sci & Technol, Universidade Estadual Paulista (Unesp)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Web of Science
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Popis: Made available in DSpace on 2018-11-28T23:07:46Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-01-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) This paper presents a variable neighborhood search (VNS) optimization algorithm for the design of the parameters of supplementary damping controllers: power system stabilizers (PSS) and the interline power flow controller-power oscillation damping (IPFC-POD) set. The objective is to insert damping to local and inter-area oscillation modes in rnultimachine power systems. The electric power system dynamics is represented by the current sensitivity model. Simulations were carried out using three systems: a test system known as Two-Area Symmetrical and two real systems, the New England and the Reduced Southern Brazilian. The VNS method was compared with a multi-start algorithm in terms of performance, showing better convergence rates. The proposal was also able to obtain solutions with high damping levels, that showed to be robust when changes on the operating point of the power system were considered. Finally, it has been verified that the PSS controllers were effective for damping the local mode oscillations, while the IPFC-POD set operated mainly damping the inter-area modes. (C) 2017 Elsevier Ltd. All rights reserved. Goias Fed Inst Educ Sci & Technol, Rua Maria Vieira Cunha 775, BR-75804714 Jatai, Go, Brazil Sao Paulo State Univ, Ave Brasil 56,POB 31, BR-15385000 Ilha Solteira, SP, Brazil Sao Paulo State Univ, Ave Brasil 56,POB 31, BR-15385000 Ilha Solteira, SP, Brazil CNPq: 141084/2016-2 FAPESP: 2014/23741-9
Databáze: OpenAIRE