دورية أكاديمية
Power System Stabilizer based on Model Predictive Control
العنوان: | Power System Stabilizer based on Model Predictive Control |
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المؤلفون: | Manuel A Duarte-Mermoud, Freddy Milla |
المصدر: | Revista Iberoamericana de Automática e Informática Industrial RIAI, Vol 15, Iss 3, Pp 286-296 (2018) |
بيانات النشر: | Universitat Politecnica de Valencia, 2018. |
سنة النشر: | 2018 |
مصطلحات موضوعية: | Sistemas eléctricos y electrónicos de potencia, Estabilizador de sistemas de potencia (PSS), Estabilizador predictivo de sistemas de potencia (PPSS), Control predictivo basado en modelo (MPC), Optimización por enjambre de partículas (PSO), Simulación, Control engineering systems. Automatic machinery (General), TJ212-225 |
الوصف: | A model predictive power system stabilizer is proposed in this paper to damp power oscillations in an electric power system (EPS). The design of the stabilizer is optimal in the sense that its parameters are determined by using off-line particle swarm optimization (PSO) technique. The proposed methodology is applied to an EPS composed by a single machine connected to an infinite bus (SMIB). The analysis is performed through a small signal stability analysis, deriving incremental equations linearized around an operating point. The results obtained by the proposed method are compared with a conventional power system stabilizer, also optimized by PSO. Through numerous computer simulations under different operating conditions and perturbations on the SMIB, it was possible to establish some advantages of the proposed technique as compared with the conventional technique. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | Spanish; Castilian |
تدمد: | 1697-7912 1697-7920 |
Relation: | https://polipapers.upv.es/index.php/RIAI/article/view/10056; https://doaj.org/toc/1697-7912; https://doaj.org/toc/1697-7920 |
DOI: | 10.4995/riai.2018.10056 |
URL الوصول: | https://doaj.org/article/461d590de6d247839aee5608731a8033 |
رقم الأكسشن: | edsdoj.461d590de6d247839aee5608731a8033 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 16977912 16977920 |
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DOI: | 10.4995/riai.2018.10056 |