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Distributed Predictive Control using Frequency and Voltage Soft Constraints in AC Microgrids including Economic Dispatch of Generation
Cet article propose un contrôleur secondaire prédictif distribué pour aborder ensemble la régulation de la fréquence et de la tension, réaliser la répartition économique et le partage de la puissance réactive des unités de production dans des micro-réseaux CA isolés. Contrairement à la plupart des approches, le contrôleur prédictif proposé atteint des objectifs consensuels (répartition économique de la production et partage de la puissance réactive) avec des contraintes souples (maintenir à la fois la fréquence et la tension moyenne dans des bandes prédéfinies au lieu de les restaurer à leurs valeurs nominales). Un travail de simulation approfondi valide l'efficacité du contrôleur prédictif pour les problèmes de communication et en présence de scénarios plug-and-play.
Este documento propone un controlador secundario predictivo distribuido para abordar juntos la regulación de frecuencia y voltaje, realizar el despacho económico y el reparto de potencia reactiva de las unidades de generación en microrredes de CA aisladas. Contrariamente a la mayoría de los enfoques, el controlador predictivo propuesto logra objetivos de consenso (despacho económico de generación y reparto de potencia reactiva) con restricciones suaves (mantener tanto la frecuencia como el voltaje promedio dentro de bandas predefinidas en lugar de restaurarlas a sus valores nominales). El trabajo de simulación exhaustivo valida la efectividad del controlador predictivo para problemas de comunicación y en presencia de escenarios plug-and-play.
This paper proposes a distributed predictive secondary controller to tackle together frequency and voltage regulation, realize the economic dispatch and reactive power sharing of generation units in isolated AC microgrids.Contrary to most approaches, the proposed predictive controller achieves consensus objectives (economic dispatch of generation and reactive power sharing) with soft constraints (keep both frequency and average voltage within predefined bands instead of restoring them to their nominal values).Extensive simulation work validates the effectiveness of the predictive controller for communication problems and in the presence of plug-and-play scenarios.
تقترح هذه الورقة وحدة تحكم ثانوية تنبؤية موزعة لمعالجة تنظيم التردد والجهد معًا، وتحقيق الإرسال الاقتصادي ومشاركة الطاقة التفاعلية لوحدات التوليد في شبكات التيار المتردد المعزولة. على عكس معظم الأساليب، تحقق وحدة التحكم التنبؤية المقترحة أهداف الإجماع (الإرسال الاقتصادي للتوليد ومشاركة الطاقة التفاعلية) مع القيود الناعمة (الحفاظ على كل من التردد ومتوسط الجهد ضمن نطاقات محددة مسبقًا بدلاً من استعادتها إلى قيمها الاسمية). تعمل المحاكاة المكثفة على التحقق من فعالية وحدة التحكم التنبؤية لمشاكل الاتصال وفي وجود سيناريوهات التوصيل والتشغيل.
- Nottingham Trent University United Kingdom
- Escuela Politécnica del Ejército Ecuador
- Pontifical Catholic University of Chile Chile
- University of Santiago Chile Chile
- University of Santiago Chile Chile
Renewable energy, Artificial intelligence, Economic dispatch, Distributed Power Generation, AC power, FOS: Mechanical engineering, Distributed Generation, Control (management), Quantum mechanics, Electric power system, Engineering, Microgrid Control, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), Demand Response in Smart Grids, Model predictive control, Electrical and Electronic Engineering, Microgrids, Work (physics), Biology, Control engineering, Physics, Controller (irrigation), Voltage, Power (physics), Computer science, Mechanical engineering, Agronomy, Integration of Distributed Generation in Power Systems, Load Control, Control and Systems Engineering, Electrical engineering, Physical Sciences, Telecommunications, Control and Synchronization in Microgrid Systems, Automatic Generation Control, Distributed generation, Automatic frequency control
Renewable energy, Artificial intelligence, Economic dispatch, Distributed Power Generation, AC power, FOS: Mechanical engineering, Distributed Generation, Control (management), Quantum mechanics, Electric power system, Engineering, Microgrid Control, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), Demand Response in Smart Grids, Model predictive control, Electrical and Electronic Engineering, Microgrids, Work (physics), Biology, Control engineering, Physics, Controller (irrigation), Voltage, Power (physics), Computer science, Mechanical engineering, Agronomy, Integration of Distributed Generation in Power Systems, Load Control, Control and Systems Engineering, Electrical engineering, Physical Sciences, Telecommunications, Control and Synchronization in Microgrid Systems, Automatic Generation Control, Distributed generation, Automatic frequency control
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