2018
DOI: 10.1109/tpwrs.2018.2815980
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Robust Stability Region of a Microgrid Under Parametric Uncertainty Using Bialternate Sum Matrix Approach

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Cited by 25 publications
(29 citation statements)
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“…ESTABILIDADE ROBUSTA DE SISTEMAS COM PARÂMETROS REAIS INCERTOS USANDO TÉCNICA DA SOMA DE MATRIZ BIALTERNADA Nesta seção é apresentada a definição de soma bialternada de uma matriz quadrada e sua aplicação em problemas de estabilidade robusta de sistemas dinâmicos com parâmetros reais incertos. As referências utilizadas nesta seção são (Fuller 1968), (Yedavalli 1993) e (Pulcherio et al, 2019). Considerando uma matriz A de ordem 3, então a matriz é dada por (7).…”
Section: Tempo De Latênciaunclassified
“…ESTABILIDADE ROBUSTA DE SISTEMAS COM PARÂMETROS REAIS INCERTOS USANDO TÉCNICA DA SOMA DE MATRIZ BIALTERNADA Nesta seção é apresentada a definição de soma bialternada de uma matriz quadrada e sua aplicação em problemas de estabilidade robusta de sistemas dinâmicos com parâmetros reais incertos. As referências utilizadas nesta seção são (Fuller 1968), (Yedavalli 1993) e (Pulcherio et al, 2019). Considerando uma matriz A de ordem 3, então a matriz é dada por (7).…”
Section: Tempo De Latênciaunclassified
“…This has been addressed by the development of robust optimisation methods, which conduct operational optimisation within an established range of WP output rather than based on a WP output prediction curve with associated error obtained beforehand [8]. The application of robust optimisation in microgrids mainly consists of two components, including robust control [9], which explicitly considers renewable energy power output uncertainty, and robust dispatch, which seeks to obtain the lowest cost generation dispatch that satisfies various constraints such as system power balance, generator power output, and ramping limits [9]. Taguchi's orthogonal array (OA) method for an energy management system (EMS) was proposed to address the uncertainties associated with the real‐time market price by formulating a min‐max robust optimisation problem [10].…”
Section: Introductionmentioning
confidence: 99%
“…Some researches obtained better PSS parameters via algorithm improvement [15], while some others converted the parameter solution issue into the multiobjective optimization problem [16]. For the multimachine systems, more consideration is given to the robustness improvement [17][18][19], while the effectiveness of PSS parameters is not considered comprehensively at the meantime.…”
Section: Introductionmentioning
confidence: 99%