دورية أكاديمية

Power System Stabilizer based on Model Predictive Control

التفاصيل البيبلوغرافية
العنوان: Power System Stabilizer based on Model Predictive Control
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
الوصف
تدمد:16977912
16977920
DOI:10.4995/riai.2018.10056